Sökresultat för "Mathematical Optimization"

10% of Europe's CO₂ emissions are caused by residential heating, and energy bills are out of control. Aira is here to change that. With our intelligent Aira Heat Pump at the heart, we're making the switch to clean energy-tech easier and more affordable. Helping Europe turn off gas and slashing energy costs one home at a time. Founded in 2022, and with 1000+ employees and counting, Aira is driving the clean energy revolution by providing homes with modern clean energy-tech solutions such as solar power, battery storage solutions and heat pumps. With a state-of-the-art production facility in Poland, an HQ in Stockholm, Sweden, and hubs across the UK, Germany, and Italy, Aira is well on track to install clean energy-tech into 5 million homes by 2034. About the role In the Energy Optimization team, we build optimization and ML models that actively control when the heat pump runs, when the battery charges or discharges, and when to export energy to the grid. We are now building new flexibility capabilities by coordinating fleets of homes to support the grid when it matters most. We’re now looking for a Data Scientist to join the team. You’ll lead projects end-to-end: shape the problem, build forecasting and optimization models, run experiments, and work closely with Product, Engineering and Design to ship customer-facing AI solutions. We value clear communication, thoughtful collaboration, and a constructive approach to problem solving. If you enjoy making measurable progress, turning messy real-world signals into decisions people can trust, and moving projects forward even when the path is not fully defined, we would love to hear from you. What you will be doing Translate real-world control problems into optimization models that minimizes customers’ energy bills. Develop and improve forecasting and decision-support models enabling optimal control schedules for customers’ home energy devices. Design and run experiments on real customer systems, evaluate impact, and turn insights into product decisions. Work closely with the team to bring models into production. Work across the full data stack, including data pipelines, feature engineering, deployment and monitoring. Lead initiatives from discovery to production impact. You set direction, align with stakeholders across product and engineering to deliver outcomes even when the path is not fully defined. Communicate clearly to technical and non-technical audiences, explaining trade-offs, uncertainty, and what is good enough to ship. What you bring to the team Several years of experience as a Data Scientist, Optimization Engineer, Applied Scientist, Machine Learning Engineer or similar. Strong mathematical and statistical modelling skills. Experience with time-series forecasting and machine learning, ideally applied to operational systems. Experience working in Python and with modern ML/optimization tooling and workflows. Solid Software Engineering fundamentals for deploying and maintaining ML systems in production. A pragmatic, product-oriented mindset: you optimize for real-world impact, not model complexity. Experience with cloud platforms (AWS, GCP, or Azure). Nice to have Experience with constrained optimization and applying it to real-world systems. Experience with energy systems or electricity market knowledge, especially flexibility and demand response. Experience with control system or physical systems modelling. What is in it for you? Gain hands-on experience in a fast-growing scale-up, with a supportive and inclusive culture, and career advancement opportunities. Collaborate with diverse teams across international markets and launch products globally. Develop and grow personally and professionally in an entrepreneurial-minded environment. Thrive in a dynamic, solution-oriented culture, tackling challenges and driving meaningful solutions that make a positive impact on the world. Influence the company's success, with a visible impact on product development and market growth. At Aira, We’re not just champions of next-generation energy, we’re champions in Diversity and Inclusion too. We believe that a diverse workforce sparks innovation and creativity and enables us to better serve our customers and communities. We encourage individuals from all backgrounds, cultures, and perspectives to join our team. We will never accept any form of discrimination and believe that together, we can drive a new era for our people and planet.

OFFER Net Insight is a pioneering technology company within media networks, resource optimization and time synchronization. Their Zyntai solution is used to distribute highly accurate time in critical 5G and network infrastructure — with nanosecond-level precision and without relying on GNSS. We are now looking for a senior engineer with deep knowledge of automatic control, estimation, signal processing and mathematical modelling — combined with strong software engineering skills in modern C++ and Python. This is not a general C++ role. It is a role for someone who wants to work close to the core algorithms, understand the underlying control problem, and turn advanced theory into robust production software. You will join a highly technical team working with a modern product, senior colleagues and complex real-world engineering challenges. Some of the benefits of working at Net Insight: A world leader in media networks, resource optimization and synchronization technology Work with advanced control algorithms in a real-world, large-scale product A highly technical environment with modern tools and senior colleagues Open and flat organization with strong teamwork and knowledge sharing Family-friendly company with flexible working hours Unusually low turnover and high employee satisfaction   THE PRODUCT AREA Zyntai provides critical infrastructure, such as 5G base stations, with extremely accurate time synchronization. A Zyntai network consists of hundreds or thousands of TimeNodes that continuously exchange time information and measurements. The system uses this data to estimate network and oscillator behavior and to control the local clock in each node. This requires advanced algorithms within control theory, estimation, filtering, signal processing and mathematical optimization. The core challenge is to distribute time over complex networks with extremely high accuracy — without depending on GNSS. For more info about the product, visit: https://netinsight.net/5g-sync   THE ROLE AND TEAMS You will work in the team responsible for the core synchronization functionality in Zyntai. The team develops the algorithms and software used to process measurement data, estimate system behavior and control the oscillator in each TimeNode. You will work with methods such as Kalman filtering, Model Predictive Control, PI/PID controllers, state estimation, signal processing and mathematical optimization. Most implementation is done in modern C++ in the TimeNodes. Python is used for modelling, analysis, tooling, testing and development in Zyntai Director, Net Insight’s Kubernetes-based orchestration system for managing TimeNodes. You need to be comfortable moving between theory and implementation: from mathematical reasoning and control system design to production-quality software in a distributed system. YOUR PROFILE We are looking for a senior engineer who combines strong knowledge within control systems with the ability to build high-quality software. You probably enjoy understanding the underlying system — not just the codebase. You like mathematical and algorithmic challenges, and you are comfortable discussing control loops, estimation, stability, filtering, optimization and real-world system behavior. You do not need to have worked with time synchronization before, but you need strong experience from automatic control, applied mathematics, signal processing, robotics, cybernetics, telecom, industrial systems or similar areas. You need to have: Deep knowledge of automatic control, control theory or cybernetics Practical experience from designing, analysing, tuning or implementing control algorithms Strong mathematical foundation within estimation, filtering, optimization, statistics, signal processing or dynamic systems Experience from methods such as Kalman filtering, MPC, PI/PID, observers, state estimation or system identification Strong software engineering skills in modern C++, preferably C++20/23 Good Python skills Experience from Linux-based development Ability to turn complex algorithms into robust, maintainable production code It is an advantage if you have experience from: Time synchronization, PTP, NTP, SyncE or GNSS-independent systems Distributed or networked systems TCP/IP and network communication Kubernetes or cloud-native systems Real-time or near-real-time systems Graph theory, statistics or mathematical optimization Telecom, 5G, industrial systems or robotics This role is a great fit if you want to work where mathematics, control systems and software engineering meet.   ABOUT NET INSIGHT Net Insight is a global leader in media networks, resource optimization, and streaming solutions. With more than 25 years of experience, Net Insight is a trusted and important partner and a leading force in the media tech industry in creating a better media experience. More than 500 world-class customers run mission-critical media services using Net Insight’s solutions in more than 70 countries worldwide.  Net Insight is listed on Nasdaq Stockholm. For more info, visit https://netinsight.net/ ABOUT PINETREE At Pinetree, we have a vision and mission to differentiate ourselves from the crowd and are Sweden's contenders in talent search and matching. By working as an agency, the value to you as an employee is that we have a wide network of partner companies that we continuously ensure high-quality standards. This recruitment is direct employment at Net Insight AB and all applications, questions, administration, and recruitment processes are managed by Pinetree AB.

Örebro University and the School of Science and Technology are looking for a doctoral student for the doctoral programme in mathematics, concluding with a doctoral degree. Start date: Autumn semester 2026. Project description To invest in stocks or some other fluctuating commodity requires, in most cases, some mathematical model of risk, return (profit), or utility (some balance between risk and return). A classical model goes back to 1952 and Markowitz. Later, more advanced models go under the name Modern Portfolio Theory. Those models may be ill-posed, meaning that changes in data might result in very different investment strategies. One such example of ill-posedness is when some of the commodities are highly correlated. This project is about analyzing such ill-posed portfolio optimization and developing stable and efficient algorithms for solving them. Supervision: The doctoral student will be supervised by Professor Mårten Gulliksson (principal supervisor), Docent Magnus Ögren and Docent Stepan Mazur (assistant supervisors). The programme and the doctoral studentship The doctoral programme consists of courses and an independent research project that you will present in a doctoral thesis. The programme concludes with a doctoral degree and comprises 240 credits, which corresponds to four years of full-time study. The plan is that the doctoral student will be active with teaching duties corresponding to about 20% of the time, giving a total time of five years. Our ambition is for your doctoral studies to be stimulating and purposeful throughout the programme until you have obtained your doctoral degree. A thorough introduction will therefore get you off to a good start and provide a solid foundation on which you can build your studies. As a doctoral student at Örebro University, you will be offered a specially tailored seminar series, covering matters ranging from doctoral programme rules and careers to support during the study period and networking. The place on the programme is linked to a full-time doctoral studentship for the duration of the study programme, which corresponds to four years of full-time study. More information on doctoral studentships, part-time studies and part-time doctoral studentships can be found in the Regulations Handbook (https://www.oru.se/globalassets/oru-en/education/research-education/regelhandbok-for-utbildning-pa-forskarniva_en.pdf). The initial salary for a doctoral studentship is SEK 32,300 a month. Entry requirements and selection For admission to doctoral studies, applicants are required to meet both the general entry requirements (https://www.oru.se/english/study/doctoral-education/how-to-become-a-doctoral-student/) and specific entry requirements. In addition, applicants must be considered in other respects to have the ability required to benefit from the programme. For a full account of the entry requirements, refer to the admissions regulations (https://www.oru.se/globalassets/oru-en/education/research-education/application-and-admission/antagningsordning-for-utbildning-pa-forskarniva-vid-orebro-universitet_en.pdf) as well as to annex 2 to the general syllabus for mathematics (https://www.oru.se/globalassets/oru-en/education/research-education/general-syllabi/allman-studieplan-matematik_beslut_2024-06-13_en.pdf). To see the job advertisement and requirements in its entirety, visit: https://www.oru.se/english/career/available-positions/job/?jid=20260176  Information For more information about the programme and the doctoral studentship, contact Professor Mårten Gulliksson, email: mailto:marten.gulliksson@oru.se. At Örebro University, we expect each member of staff to be open to development and change; take responsibility for their work and performance; demonstrate a keen interest in collaboration and contribute to development; as well as to show respect for others by adopting a constructive and professional approach. Örebro University actively pursues equal opportunities and gender equality as well as a work environment characterised by openness, trust and respect. We value the qualities that diversity adds to our operations. Application to the programme and for the doctoral studentship The application is made online. Click the button “Apply” to begin the application procedure. For the application to be complete, the following electronic documents must be included: CV Copies of the original certificate and official transcript for Bachelor's degree Copies of the original certificate and official transcript for Master's degree Independent project (degree project) Other relevant documents, course and degree certificates verifying eligibility As a main rule, application documents and attachments are to be written in Swedish, Danish, Norwegian, or English. Certificates and documents in other languages verifying your qualifications and experience must be translated by an authorised translator to Swedish or English. A list of authorised translators can be obtained from Kammarkollegiet (the Legal, Financial and Administrative Services Agency), http://www.kammarkollegiet.se/engelska/start. When you apply for admission, you automatically also apply for a doctoral studentship. More information for applicants will be found on our career site: https://www.oru.se/english/career/available-positions/applicants-and-external-experts/ The application deadline is 2026-08-17. We look forward to receiving your application! As we have already made our choices in terms of external collaboration partners and marketing efforts for this recruitment process, we decline any contact with recruitment agencies and advertisers. As directed by the National Archives of Sweden (Riksarkivet), we are required to deposit one file copy of the application documents, excluding publications, for a period of two years after the appointment decision has gained legal force.

Honor Technology’s mission is to change the way society cares for older adults. As a leader in aging care innovation, Honor provides the technology, tools, and services that empower older adults to live life on their own terms. Honor’s growing portfolio includes its consumer care brand, Home Instead, Inc., the world’s leading provider of in-home care for older adults. With a global franchise network and more than 100,000 Care Pros, Home Instead delivers over 50 million hours of personalized care annually. Together, Honor and Home Instead are setting a new standard for aging in place, backed by powerful technology, compassionate care, and a commitment to aging on your own terms. Join us to create a new and better aging experience for our clients, their families, and our Care Professionals.  About the role:  We’re looking for Data Scientists to join our team. In this role, you will serve as a versatile generalist data scientist who can help guide our company's adoption of agentic AI development.  As we rapidly integrate new technologies into our platform, practical applied experience in the AI space is a baseline requirement for our team. Building on that foundation, we are looking for a candidate who brings expertise in either Agentic AI OR Optimization Algorithms. About the work: * Leverage data to solve a wide variety of meaningful, business problems using the appropriate level of technical complexity. * Partner closely with Engineering, PM, and Care Operations to collaboratively define strategy and execute against it. * Design and implement robust frameworks and metrics to measure whether data products are functioning as expected and driving business impact.  * Research operational/logistical problems and proactively identify potential solutions. * Lead the design, implementation, and evaluation of descriptive and predictive models. * Champion the use of LLM-driven workflows across the company. Partner with Engineering to design architectures and build production-ready systems that leverage agents in our core product features as well as in tools that drive developer productivity. About you:  * 7+ years of professional experience solving complex business problems, and shipping/maintaining Python in a production environment. * You possess a strong foundation in traditional predictive machine learning (e.g., classification, regression, tree-based models like XGBoost) and know when to use standard models versus LLMs. * Deep professional expertise in at least one of the following two areas: * Optimization: Formulating and solving complex logistical/allocation problems (e.g., linear/integer programming) in a business setting. * Agentic AI: Deep technical depth in building, orchestrating, and establishing best practices for agentic systems (e.g., utilizing LLMs for autonomous decision-making and tool-use). You have concrete experience building agentic workflows that drive business impact. * You set success metrics upfront and proactively investigate how your technical solutions influence overarching business goals.  * Excellent mathematical and statistical foundations, including a degree in a quantitative field (such as Computer Science, Mathematics, Statistics, Economics, Physics) or equivalent professional experience. * You are able to manage product ambiguity, seeking clarity when necessary, to ensure that we are solving the right problem and driving measurable outcomes. * You rapidly iterate and deliver technical solutions that maximize business impact. * Clear and persuasive communication skills, both written and verbal, with the ability to translate complex technical concepts for diverse, non-technical stakeholders. You are accountable end-to-end for the entire project lifecycle. You proactively anticipate and drive resolution for potential issues across dependencies. Bonus points if you have professional experience with:  * Experience designing experiments and applying causal inference methods to rigorously determine business impact. * Experience developing systems to optimize portfolio allocation in a two-sided marketplace (e.g., ideal matches of people needing and providing care, hiring needs, demand forecasting). * Familiarity with modern MLOps practices, cloud platforms (AWS), containerization (Docker), or CI/CD pipelines. * Experience working with sensitive data, including PII or PHI, within a strict, HIPAA-compliant environment. Our range reflects the hiring range for this position.  We use national average to determine pay as we are a remote first company.  Individual pay is based on a number of factors including qualifications, skills, experience, education, and training. Base pay is just a part of our total rewards program.  Honor offers generous equity packages that increase with position level and responsibilities, and a 401K with up to a 4% employer match. We provide medical, dental and vision coverage including zero cost plans for employees.  Short Term Disability, Long Term Disability and Life Insurance are fully employer paid with a voluntary additional Life Insurance option.  We offer a generous time off program, mental health benefits, wellness program, and discount program.   Hiring Salary Range $194,400—$216,000 USD At Honor, we put people first. Our leadership culture is guided by Leadership Principles that prioritize integrity, compassion, and excellence. We offer a unique opportunity to lead with purpose and make a meaningful impact no matter your role. Honor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information, political affiliation or belief.

Luleå University of Technology experiences rapid growth with world-leading expertise within several research areas. Our scientific and artistic research and education are conducted in close collaboration with international, national and regional companies, the public sector and leading universities. Luleå University of Technology has an annual turnover of just over SEK 2.3 billion. We have more than 1,800 employees and nearly 21,600 students. We are looking for a Postdoctoral Researcher in Robotics and Artificial Intelligence (RAI) (https://www.fieldrobotics.eu/) based at Department of Computer Science, Electrical and Space Engineering as part of the national research program WASP.     Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their environment through sensors, information and knowledge, and forming intelligent systems-of-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp-sweden.org/     You will be part of the Robotics and Artificial Intelligence research group. More information https://www.ltu.se/research/subjects/RoboticsAI?l=en. You will have the opportunity to collaborate with the strong multi-disciplinary and international professional network between researchers and industry associated with the WASP.     Subject description   Robotics and artificial intelligence aim to develop novel robotic systems that are characterized by advanced autonomy for improving the ability of robots to interact with the surrounding environment and humans during the execution of specific tasks.     Project description   The vision of RAI is aiming in closing the gap from theory to real life, while the team has a strong expertise in field robotics. The RAI team conducts fundamental and principled research in all aspects of robotics with a strong European and National participation in multiple R&D&I projects. RAI has participated in the DARPA SUB-T challenge with the CoSTAR Team lead by NASA/JPL (https://costar.jpl.nasa.gov/).     Research topics for this Postdoctoral researcher position will focus on one or more of following key areas, where proof of previous work with experimentally verified results is necessary:   - Distributed robotic autonomy for embodied intelligence   - Data-driven and learning-based control   - Decentralized decision-making and distributed optimization   - Belief-space and uncertainty-aware planning   - Neuro-symbolic and context-aware reasoning for robotics   - Meta-learning for adaptive coordination     Duties   The duties of a Postdoc primarily comprise research. You will perform research with substantial experimental components that should be published in peer-reviewed international journals and at major conferences. The position will include supervision of PhD and MSc students, teaching and supporting in acquiring funds for future research projects from research funding agencies/councils, EU framework program or industry.     Qualifications   In order to be eligible for employment as post doctor you must have a PhD or a foreign degree equivalent to a PhD in Robotics and AI, Automatic control or related subject. A doctoral degree awarded no more than three years before the application deadline provides a useful qualification. Candidates who have been awarded a doctoral degree at an earlier date may also be considered if there are special grounds, for example, different types of statutory leave of absence.     The research tasks require a solid mathematical background with proven advanced experimental capabilities and excellent programming skills (e.g. C++, ROS, Matlab, Python etc.). You should have a strong vision to evaluate and demonstrate the research findings in real life operating conditions, in an approach to close the gap between pure theory and experimental verifications. You will need to represent the group in different contexts, both in Sweden and abroad and hence have excellent skills in English. Experience in Field Robotics and real word experimentation will be highly considered as a merit.     Further information   The employment is limited to 2 years.   Placement: Luleå. Starting date: 01 August 2026     For further information about the position, please contact:   George Nikolakopoulos, Chaired Professor, (+46 )920-49 1298 mailto:geonik@ltu.se     Union representatives:   SACO-S Diana Chroneer,(+46 )920-49 2037 mailto:diana.chroneer@ltu.se   OFR-S Marika Vesterberg, (+46) 920-49 1721 mailto:marika.vesterberg@ltu.se     In case of different interpretations of the English and Swedish versions of this announcement, the Swedish version takes precedence.     Application   We prefer that you apply for this position by clicking on the apply button below. The application should include a CV with a full description of all the scientific merits and publications of the candidate, motivation letter, a research plan with a description of the research topics, list of successful grant applications, list of 2 persons that could provide recommendations for the candidate and copies of verified and translated diplomas from high school and universities. Your application must be written in Swedish or English. Mark your application with the reference number below.     Closing date for applications: 15 June, 2026   Reference number: 2462-2026

We are seeking an ambitious applied researcher who wants to work at the forefront of data-driven nutrition and health. This is a unique opportunity to bridge mathematics, statistics, AI, and biomedical research in a highly interdisciplinary research environment. About us Fraunhofer-Chalmers Centre (FCC) is a leading research centre in industrial mathematics, modelling, simulation, optimisation, and data analytics. We operate at the interface between academic research and industrial needs, often in interdisciplinary projects where mathematics, data, and domain expertise meet. Together with the nutrition research group led by Professor Rikard Landberg at Chalmers University of Technology, we conduct advanced research in data-driven nutrition, health, and food science. With large-scale diet and health data, omics data, biomarkers, digital food and health services, we establish predictive models for evaluation of the role of diet in health and disease and establish personalized dietary strategies for more effective disease prevention. In many cases, the work involves time series data, dynamic processes and phenomena, where both methods and interpretation must account for temporal dynamics. Data typically comes from intervention studies conducted in Gothenburg and or from large cohorts and biobanks from international collaborators. To secure and further develop this important collaboration, we are now recruiting an applied researcher with a strong quantitative profile and interest in nutrition, health, or medicine. Your role As an applied researcher in this area, you will: Act as a key person in the collaboration between FCC and the nutrition research group at Chalmers. Lead and conduct research projects in data-driven nutrition, such as:analysis of time series data and dynamic processes, where signals and responses evolve over time. statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and health data analysis of omics data (metabolomics, proteomics, microbiome, etc.) development of predictive dynamical models and digital decision-support tools for nutrition and health method development in causal inference, integration of heterogeneous data sources, uncertainty quantification Work with a wide range of data types, for example dietary records, biomarkers, omics data, registry data, and sensor data such as CGM measurements (continuous glucose monitoring), activity trackers, and other wearable sensors. Serve as a bridge between domain researchers (nutrition, medicine, food science) and quantitative experts (mathematics, statistics, AI&ML, systems engineering). Supervise, collaborate, and support PhD students and postdocs involved in joint projects. Your profile We are looking for someone who: Holds a PhD in Applied Mathematics, Mathematical Statistics, Automatic Control, Signal Processing, Systems Engineering, Data Science, or a related field. Has experience in data-driven research, preferably related to biomedicine, nutrition, epidemiology, food science, or public health. Is proficient in modern statistical modelling, AI & machine learning methods (e.g. system identification, regression models, mixed-effects modeling, Bayesian methods, deep learning, variational autoencoders, generative AI). Is an experienced programmer in R and/or Python, and used to working with large datasets and reproducible analysis workflows. Enjoys working in interdisciplinary environments and is curious about understanding biological/nutritional research questions in depth. It is meritorious if you also: Have experience working with cohort data, registry data, clinical studies, or omics data. Have previously worked in projects involving both academic and industrial/external partners. Have experience supervising PhD students, postdocs, or junior researchers. Can communicate in both Swedish and English; excellent English is required. What we offer With us, you will: Have a unique opportunity to combine advanced quantitative and data-driven methods with cutting-edge research in biomedicine, nutrition, and health. Work in a strong and long-term collaboration between Fraunhofer-Chalmers Centre and Chalmers division of Food and Nutrition Science, with access to both international academic and industrial networks. Influence the direction of a strategically important initiative in data-driven nutrition and health. Be part of a creative, collaborative, and international research environment with good opportunities for personal and scientific development. Employer: Fraunhofer-Chalmers Research Centre for Industrial Mathematics (Fraunhofer-Chalmers Centre, FCC)   Employment: according to agreement   Location: Gothenburg, Sweden   Department: Systems and Data Analysis (in close collaboration with Chalmers)   Application procedure The application should be written in English and attached as PDF-files, containing as specified below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.  - CV  - Publication list - Transcript of grades - Personal letter with: A brief description of your research profile and how it relates to nutrition/health A brief motivation as to why you are interested in this position.  Please apply no later than 16th August 2026. Evaluation of applications will be done on a continuous basis. Please note: The applicant is responsible for ensuring that the application is complete. Incomplete applications and applications sent by email will not be considered. Contact details to references will be requested after the interview.  For questions, please contact:   Mats Jirstrand, Head of Department, Systems and Data Analysis, Fraunhofer-Chalmers Centre E-mail: mats.jirstrand@fcc.chalmers.se Phone: +46 730 794303

ABOUT US STARK is a defence technology company redefining how autonomous and electronic warfare systems are engineered and deployed. We design, build, and operationalise high-performance electronic warfare and unmanned systems that provide NATO forces with decisive advantages in contested electromagnetic environments. Our work is grounded in precision, responsibility, and uncompromising engineering discipline. YOUR MISSION You will be the primary architect of resilient, low-probability-of-intercept (LPI) communication links for our next generation of autonomous platforms. Your mission is to ensure that STARK’s drone fleets maintain command and control integrity even in the most severe electronic warfare environments. This is a full-stack communications role where you will bridge the gap between low-level RF hardware and high-level software networking. RESPONSIBILITIES * Design and implement the complete communication software stack for unmanned systems, from physical layer waveform manipulation to network layer routing. * Develop and integrate anti-jamming techniques, frequency hopping spread spectrum (FHSS), and low-probability-of-detection (LPD) protocols. * Architect high-reliability data links tailored for the unique constraints of small-form-factor UAS (Unmanned Aerial Systems) operating in contested airspace. * Write high-performance, real-time C++ code to handle high-speed data transmission and error correction algorithms (FEC). * Collaborate with hardware engineers to select and tune front-end components, ensuring the software stack is perfectly calibrated to the physical RF environment. * Research and implement adaptive filtering and cognitive radio techniques to bypass active electronic countermeasures. * Conduct rigorous bench testing and field trials to validate link stability against simulated near-peer electronic warfare threats. QUALIFICATIONS * Strong proficiency in C++ and a deep understanding of embedded systems, real-time operating systems (RTOS), and Linux networking. * A professional background in Electronics Engineering with a specific focus on communication systems and digital signal processing (DSP). * Practical experience with the OSI model, specifically how it applies to radio-based mesh networks and point-to-point links. * Deep understanding of digital modulation schemes (OFDM, DSSS, GFSK) and the underlying physics of RF propagation. * The ability to debug complex timing issues and signal degradation at the hardware/software boundary. RELEVANT BACKGROUNDS * Experience building or maintaining long-range, encrypted data links for robotic platforms. * Extensive experience with platforms like USRP or LimeSDR and frameworks like GNU Radio. * Background in military-grade communication standards (e.g., Link 16, MANET) or secure satellite communications. * Strong mathematical grounding in channel capacity, noise floors, and signal-to-interference-plus-noise ratio (SINR) optimisation. NICE-TO-HAVE / BONUS SKILLS * Experience with custom protocol design for low-bandwidth, high-latency environments. * Familiarity with cryptographic standards for securing over-the-air transmissions. * Knowledge of MIMO (Multiple Input, Multiple Output) antenna systems and beam-forming. * Interest in the intersection of Al/ML and cognitive radio for automated interference avoidance.

PRINCIPAL COMPUTER VISION / MACHINE LEARNING ENGINEER JOIN OUR TEAM AT HAWK-EYE INNOVATIONS Value Stream: Innovation Hub Location: Hybrid working – minimum 2 days per week in the office Office: London, Basingstoke and Bristol Contract: Permanent, Full-Time Salary: £76,340 – £109,060 per annum JOIN OUR TEAM AS A PRINCIPAL COMPUTER VISION / MACHINE LEARNING ENGINEER AT HAWK-EYE INNOVATIONS We're looking for an exceptional Principal Computer Vision / Machine Learning Engineer to join our Innovation Hub and help shape the next generation of sports tracking technology. Working at the intersection of computer vision, applied mathematics and machine learning, you'll tackle some of the most technically challenging problems in sports technology. From reconstructing accurate 3D trajectories from multi-camera systems to deploying advanced algorithms onto embedded hardware, you'll play a key role in developing solutions that power world-leading tracking technology used across global sport. If you enjoy solving complex engineering challenges, influencing technical direction and building production-ready computer vision systems, we'd love to hear from you. WHAT YOUR DAY WILL LOOK LIKE As a Principal Computer Vision / Machine Learning Engineer, you'll play a key role in developing the next generation of computer vision technology within our Innovation Hub. Working at the intersection of computer vision and applied mathematics, you'll transform raw 2D detections from camera systems into accurate 3D positional and trajectory data, ensuring outputs are physically plausible, robust and production-ready. You'll collaborate with software engineers, machine learning specialists and product teams to solve complex technical challenges, helping bring advanced tracking technology into a wider range of sporting environments. APPLIED COMPUTER VISION * Design and develop algorithms that reconstruct accurate 3D positional and trajectory data from 2D detections, applying mathematical and physical modelling of motion, projectiles and object interaction. COMPUTER VISION SYSTEMS * Design and build computer vision components supporting detection, tracking and calibration workflows across multiple sports. CALIBRATION & VALIDATION * Contribute to calibration systems, handling coverage gaps and validating reconstructed trajectories against real-world scenarios. EMBEDDED DEPLOYMENT * Support the optimisation and deployment of algorithms onto embedded NVIDIA Jetson hardware, helping deliver efficient real-time performance on edge devices. MACHINE LEARNING COLLABORATION * Work alongside our dedicated Machine Learning discipline, leveraging existing detection models where appropriate while owning the Computer Vision and applied modelling layer built on top of them. TECHNICAL LEADERSHIP * Influence algorithm design, technical architecture and data pipeline decisions within a fast-moving product team while providing technical guidance across complex engineering challenges. CROSS-FUNCTIONAL COLLABORATION * Partner with data platform, backend and frontend engineers to define data requirements, representative datasets and reliable production outputs. QUALITY & RELIABILITY * Help ensure tracking outputs remain accurate and reliable across challenging real-world environments where conditions can vary significantly. WHAT WE VALUE At Hawk-Eye, we thrive on solving difficult engineering problems through innovation, collaboration and technical excellence. As a Principal Engineer, you'll remain hands-on while influencing the technical direction of our products. You'll work alongside highly skilled engineers across Computer Vision, Machine Learning and Software Engineering to develop innovative solutions that continue to push the boundaries of sports technology. We're looking for someone who enjoys solving complex technical challenges, embraces ambiguity and wants to make a lasting impact through technical leadership and engineering excellence. SKILLS, KNOWLEDGE, AND EXPERTISE We're looking for someone with: * Extensive commercial experience in Computer Vision with a strong grounding in applied mathematics and physical modelling. * Expertise in trajectory estimation, motion reconstruction, projectile physics or similar 2D-to-3D reconstruction problems. * Experience designing Computer Vision algorithms for detection, tracking, calibration or reconstruction systems. * Experience working with camera-based data sources, tracking pipelines or spatial and temporal datasets. * Strong C++ development experience. * Python experience for prototyping, experimentation or tooling would be advantageous. * Experience deploying or optimising algorithms for embedded or edge GPU hardware, particularly NVIDIA Jetson, is highly desirable. * Working knowledge of Machine Learning techniques is beneficial; however, this role is primarily Computer Vision and applied modelling focused rather than Machine Learning research focused. * Comfortable working with ambiguity and evolving requirements within a fast-paced, product-focused engineering environment. * Excellent communication skills with the ability to collaborate across Computer Vision, Machine Learning, backend, frontend and data platform teams. * Experience influencing technical direction and contributing to architecture decisions. WHAT THIS ROLE IS NOT To help set expectations, it's important to understand what this role focuses on: * This is not a pure Machine Learning research role. The emphasis is on applied Computer Vision, mathematical modelling and delivering production-ready solutions rather than researching or training novel Machine Learning models. * This is not a Data Engineering role. You'll be responsible for producing high-quality model outputs, while separate teams own data storage, transformation, APIs and wider platform services. * This is not a people management role by default. As a Principal Engineer, you'll provide technical leadership, influence engineering decisions and mentor through technical expertise. Depending on the team structure, there may be opportunities to lead a squad or technical discipline, but direct line management is not a core responsibility. REWARD, BENEFITS, AND WELLNESS We offer a comprehensive package to support your growth and well-being. UNITED KINGDOM * Annual Leave: 25 days (excluding bank holidays). * Enhanced Pension Scheme: 5% matching. * Flexible Working: Hybrid model (minimum 2 days in the office per week). * Wellness: Complimentary Unmind app and onsite gym (Basingstoke). * Exclusive Perks: Access to sporting events and tickets, plus Sony Group Company discounts. HUNGARY * Annual Leave: Standard according to local labour law. * Flexible Working: Hybrid model (2 days in our office per week). * Exclusive Perks: Access to sporting events and tickets, plus Sony Group Company discounts. * Additional Benefits: Cafeteria options (SZÉP Card, Nursery & Kindergarten contributions, Annual MOL Bubi Pass), private medical insurance, life & accident insurance, MindentMent Dental Clinic discounts, seniority awards, and an Employee Assistance Program. ABOUT US Hawk-Eye Innovations, part of Sony Sports Technology, is a world leader in sports technology. We deliver sophisticated officiating, broadcast and player tracking solutions across more than 25 international sports. Every year, our technology supports over 30,000 sporting events across more than 500 stadiums in 90 countries. Our Innovation Hub focuses on solving the next generation of technical challenges, developing cutting-edge Computer Vision and Machine Learning solutions that continue to redefine what's possible in sports technology. EQUAL OPPORTUNITY STATEMENT As an active part of a culturally and socially diverse society, Sony Sports Technology is committed to building a workforce that is diverse, inclusive and representative of the communities we serve. Sony Sports Technology is an equal opportunity employer and welcomes applications from people of all backgrounds and experiences. We recruit, retain, develop and promote people based on their skills, qualifications and experience. Our commitment is to provide a respectful, inclusive environment where everyone has the opportunity to contribute, grow and succeed. APPLY TODAY Join Hawk-Eye Innovations and help shape the future of sports technology. As a Principal Computer Vision / Machine Learning Engineer, you'll work on some of the most technically challenging problems in Computer Vision, applied mathematics and real-time tracking, helping build the next generation of world-leading sports technology.

⚡️ What We Do Flower is Flexible Power. We are a next-gen energy company leveraging AI and machine learning to make renewable energy stable and always available – even when the sun isn’t shining and the wind isn’t blowing. Through smart optimization and trading of energy assets like wind and solar farms, battery systems, and EV chargers, we make renewable energy reliable and predictable, leading the charge towards the energy system of tomorrow. 🌟Who We Are Tech company at heart. Purpose-driven at core. Flower consists of a diverse group of innovative individuals with a strong desire to improve the state of the world. At Flower, we believe trust, collaboration and diversity are essential to not only create an inclusive work environment, but also drive career growth. By embracing varying perspectives, we allow creativity and progress to flourish. To accelerate towards our goal of becoming the pioneering force powering the energy system of tomorrow, we are now looking for a passionate and skilled Senior Data Scientist to join us!  👩‍💻 About The Role: As a Senior Data Scientist, you will shape the foundation of Flower’s short-term forecasting capabilities - powering the models that directly drive our daily trading decisions. You will be part of a small, highly skilled team operating at the intersection of data science, energy systems, and close-to-real-time market dynamics. You will own the full lifecycle of your models - from idea to production - working closely with Data Engineers, Machine Learning Engineers, and Energy Market Experts to ensure our forecasting stack runs smoothly and is continuously improving. This is a hands-on role focussed on time-series modelling, rapid experimentation, and the ability to translate data into high-impact operational decisions. What You’ll Do: Build & maintain short term operational forecasting models for energy volumes & prices that drive our trading decisions on a day-to-day basis Build time series models to understand and explain recurring patterns across different measurements, products and regions to distill signals as features for your next model Prototype quickly: iterate on simple models, validate rigorously, and scale what works in a dynamic market environment Own the full model lifecycle: EDA, feature engineering, model development, validation, deployment and continuous evaluation, supported by our team of DEs, MLEs & Energy Market Experts Write your models in Python, version your code in Git, use CI/CD to ensure full reproducibility Partner with DEs to evaluate and integrate new data sources (weather, grid conditions, market signals) Collaborate & mentor across other data scientists, quants and engineers. Who You Are: Master’s or PhD in Operations Research, Computer Science, Industrial Engineering, Applied Mathematics, Engineering Physics, or a related quantitative field. 5+ years building and deploying ML/time-series models in production Strong Python + SQL and no stranger to the command line; comfortable writing clean, maintainable, production-ready code Deep understanding of time-series forecasting and real-world modeling challenges Curious, data-driven, and comfortable working with messy or complex datasets Able to take projects from idea to production autonomously Highly driven by our mission and your impact, yet humble enough to know we are all always learning Thrive in a fast-moving environment and adapt models as markets evolve (Bonus) Experience in energy markets, trading, or power systems - or demonstrated motivation to learn 📍 Location Our beautiful office is located in the heart of Södermalm just a short walk from Slussen subway station. We encourage in-office collaboration but support a hybrid work model. ✉️ Apply Our corporate language is English, as we have over 30 nationalities in the office. We therefore appreciate it if you could submit your CV in English. Throughout the recruitment process you will meet with the People & Talent Partner, Head of Predictions and Optimization, the Team, VP of Engineering and our VP of Product. We look forward to hearing from you! --- We kindly but firmly decline any engagement in recruitment assistance for our hiring processes. This includes partnership offers or the sale of recruitment tools.

Job Description WHAT YOU’LL DO Join the Supply Chain organization and play a key role in the In-Season Optimisation area. You’ll work with Gen-AI technologies and leverage SQL, programming tools, and BI best practices to deliver actionable insights and optimize product performance. You will: Translate business processes and objectives into data-driven insights, helping the organization understand performance and make strategic decisions throughout the value chain. Support the analysis and optimization of digital fulfilment flows, ensuring efficient inventory utilization, order sourcing, and customer delivery across the value chain. Understand how cross-functional initiatives and programs impact what we do and the decisions we make. Translate large volumes of data into actionable insights that guide strategic decisions across fashion retail and e-commerce. Define, monitor, and visualize key KPIs to drive transparency and measure success. Lead data modelling conversations to ensure optimal data structures and model performance within your product area. Act as the go-to analytics expert within your business and product team, collaborating end-to-end on data-driven business development, value realization and business case validation. WHO YOU’LL WORK WITH You’ll be part of a truly international and cross-functional team, working closely with Business Process Leads, Data Scientists, Business Experts, and Product Managers. Collaboration is at the heart of what we do; our team brings together diverse backgrounds and perspectives to solve complex challenges and create real value for millions of customers across global markets. We work in an agile setup that encourages experimentation, continuous learning, and open dialogue. WHO YOU ARE We are looking for people with… · A degree in Economics, Business, Supply Chain, Mathematics, Engineering, or a related field. · Experience in analytics roles within retail, fashion, or tech-driven companies, ideally linked to product or business development., with the focus on Supply Chain. · Proficient in SQL, Python, or R. Experience using modern data tools such as Git, Dataform and dbt is a plus. · A solid understanding of analytical methods applied to real-world data problems. · Experience using data visualization tools, e.g. Power BI or similar tools. And people who are… · Strategic thinkers with a strong analytical mindset and a passion for solving complex problems. · Clear communicators who can transform data into compelling stories and practical recommendations. · Team players who thrive in collaborative, agile environments and are comfortable working with a range of stakeholders. WHO WE ARE H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make. We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. WHY YOU’LL LOVE WORKING HERE  At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. We offer all our employee’s attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all our H&M Group brands in stores and online. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here. · 30 days holiday · We offer a collective agreement which includes pension and life insurance · H&M Incentive Program · Wellness benefit 4000kr/year · Benifex Benefits Portal · Community with activities JOIN US Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are. Take the next step in your career together with us. The journey starts here. *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.

What Dirac Offers You Our best-in-class technology has given us a customer base that includes many of the world's most reputable brands. In this role, you will play a key part in making that technology come to life inside high-end consumer electronics products, working at the intersection of deep engineering and customer collaboration. We are on an exciting journey of growth and scale, driven by our ambition to deliver the ultimate audio experience that transforms how the world listens. Your role as Senior DSP Software Developer This is primarily a signal processing role. As a Senior DSP Developer for Dirac Live within Home & Pro, you will implement, refine, test, and evaluate the algorithms at the core of our products: estimation of acoustic systems from measurements, and design of correction filters for calibration and optimization of loudspeakers in real rooms. The team's focus is on productization and continuous improvement of these algorithms, turning them into robust, high-quality features in shipping products. You will work on the core processing behind our flagship Dirac Live technologies, including Dirac Live Active Room Treatment (ART), now shipping with several leading OEMs. Day to day, this means working with digital filters, FIR and IIR, phase behavior including minimum- and mixed-phase systems, frequency- and time-domain analysis of measured loudspeaker-room responses, and trade-offs between correction performance, robustness, latency, and computational cost. Most of the implementation is in modern C++ running locally inside the end-user app, with some parts running in the cloud. Your responsibilities will include: Continuously improve and evaluate the audio processing algorithms, and reason about the audible impact of changes Productize signal processing algorithms into scalable and maintainable C++ code Optimize algorithm complexity (cycles and memory footprint) without compromising audio quality Build and maintain evaluation methods and datasets to quantify audio performance and guard against regressions Assist the product manager in refining complex work items into smaller, valuable, and estimated user stories Test and use our product at home or in the lab Assist with 2nd-line customer support Maintain and improve the infrastructure and processes for build, test, and release Who you are You have a solid theoretical foundation in signal processing and professional experience applying it, not necessarily in audio. If you're not already familiar with room acoustics you can learn them here, however, you must know the fundamentals of signal processing. You should be comfortable discussing practical DSP trade-offs, such as when to choose an FIR filter over an IIR filter, how magnitude and phase response affect timing, ringing, group delay, and latency, and how to reason about systems in both time and frequency domain. Qualifications: M.Sc. or PhD in Signal Processing, Electrical Engineering, Engineering Physics, Applied Mathematics, or a similar field, preferably including advanced coursework in signal processing 5+ years of industry experience, including several years of hands-on professional signal processing work; audio signal processing experience is a strong advantage Solid grounding in digital signal processing theory: e.g. FIR/IIR filter design and trade-offs, magnitude and phase response, group delay, latency, and time- and frequency-domain analysis. Ability to work effectively in a large modern C++ codebase, including reading, debugging, testing, and extending production code. You do not need to be a C++ language specialist, but you should be comfortable turning algorithmic ideas or prototypes, for example in Python or MATLAB, into maintainable implementation. Ability to reason about the audible impact of algorithm changes and performance trade-offs Passion for high-end audio Appreciation for agile development Fluency in spoken and written English A team-oriented attitude, as well as the ability to work independently A valid work permit or citizenship allowing you to work in Sweden Desired qualifications: Experience with room acoustics, acoustic measurements, or room correction technology Experience working hands-on in audio labs: connecting equipment, measuring, testing, and evaluating Experience with software engineering tools (e.g. Git, CMake, Conan) About Dirac Dirac is an audio tech company, known for best-in-class technology and a prestigious customer base that includes many of the world’s most reputable brands. We are passionate about audio and innovation, and our pioneering technology is shaping the future of sound experiences. We are a global company with headquarters in Uppsala, Sweden, and R&D facilities in Copenhagen, Denmark, and Bangalore, India, with representation in Greater China, Germany, Japan, Korea, and the United States. Please read more about us at https://www.dirac.com/ and follow us on Social Media Location The location will be at Dirac’s headquarters in central Uppsala, Sweden. Application The selection process is continuous, and the advert may close before the recruitment process is completed if we have moved forward to the screening or interview phase. Please note that, due to summer holiday, we will not be reviewing applications or responding to candidates during July. We will resume the recruitment process in August. We’re looking forward to your application!

Company description: Ericsson AB Job description: Join our Team About this opportunity: We are looking for a Data Scientist to join our Data Management team within BNEW RCE LO Hardware Management. In this role, you will build AI and Analytics solutions end-to-end – from data collection and preparation to deployment – in close collaboration with teams across BNEW and other parts of Ericsson.   As a Data Scientist, you will develop methods, processes, and systems that turn data into actionable insights to enable business value creation. You will be part of the team driving our overall data strategy and will work across several teams to solve business problems through building data pipelines, identifying trends and patterns, and applying predictive analytics and advanced AI.   What you will do: Execute and evolve our AI and analytics strategy within Hardware Management Design and implement data pipelines from source systems to analytical and AI solutions Develop and deploy machine learning, LLM-based and advanced analytics models (including RAG and agentic AI frameworks) to solve complex business challenges Build and maintain APIs and services to operationalize AI and analytics solutions Work closely with stakeholders to understand business problems, define data requirements, and propose appropriate analytical approaches Translate data insights into clear recommendations and drive adoption together with business stakeholders Contribute to continuously improving our data strategy, data governance and ways of working Collaborate in a global environment, interfacing with different areas in Ericsson and sharing best practices   The skills you bring: A Master’s or higher degree in Computer Science, Statistics, Mathematics, or related disciplines Proven academic training in statistics Deep/broad knowledge in machine learning, statistics, optimization, or related fields Strong analytical and conceptual problem-solving skills, including the ability to structure and resolve ambiguous problem statements Ability to understand underlying business problems and translate them into data requirements and suitable analytical approaches Ability to orchestrate and propose different technologies (AI, automation, integration and data solutions) to solve complex business challenges Solid Python knowledge for data science (data processing, modeling, visualization, and deployment) Experience working as a data scientist Experience with LLMs, RAG architectures and agentic AI frameworks Experience in building and integrating APIs Good understanding of Ericsson, its business areas and how data and AI can create value in a network/hardware context is a plus. Strong collaboration skills and team spirit, with a proactive, curious and positive learning mindset   If you recognize yourself in this profile and want to work with cutting-edge AI and analytics in a global technology leader, we look forward to your application.

Do you want to work with the latest technologies and highly skilled colleagues at a world‑leading company? If yes, you might be exactly who we're looking for! We're searching for a skilled Embedded Software Engineer with strong C/C++ expertise to join our Deep Learning Platform Team in Lund, Sweden. Who is your future team? You will become part of our Deep Learning (DL) Platform Team-an enthusiastic group working at the heart of Axis' DL offerings. We develop key components used across Axis products, with many touchpoints both internally and externally. Our team focuses on edge devices and their DL inference capabilities, creating solutions that make a real impact in our products. What you'll do here as an Embedded Software Engineer In this role, you'll work on technology that sits right at the core of Axis video products. You'll be deeply involved in evaluating and integrating deep learning IPs and accelerators. You'll help shape and develop our Deep Learning Runtime API and services, ensuring that application developers have a solid and efficient platform to build on. A key part of your work will be optimizing code for performance, memory usage and reliability, always striving to get the most out of our hardware. Throughout all of this, you'll collaborate closely with internal teams and external partners, contributing to a platform used across our entire product portfolio. Who are we looking for? You enjoy diving deep into embedded systems, working hands‑on with drivers, frameworks, debugging, optimization, and improving platform quality. You thrive when solving complex technical challenges and value teamwork just as much as autonomy. You bring energy, curiosity, and a willingness to continuously grow. We'd love to hear that you have: A master's degree in computer science, physics, mathematics, electrical engineering, or similar 3-5+ years of experience in C/C++ development, embedded systems, and Linux C APIs A strong interest in deep‑learning-based solutions and hardware‑close programming Experience with Edge DL platforms and DL frameworks (a plus, not a requirement) Familiarity with Git, Gerrit, and Jenkins This role is based on site at Axis HQ in Lund, Sweden. What Axis has to offer We are a world leader in network video, where cutting-edge technology meets global impact. Here, you'll contribute to meaningful projects that shape the future of security and surveillance - developing solutions used worldwide. As a fast-growing company, we offer exciting career opportunities. You'll grow professionally through continuous learning, supported by a collaborative team that values creativity, innovation, and work-life balance. Our Lund HQ Campus, including the impressive Grenden building, offers a dynamic environment with spaces crafted to encourage collaboration, whether through informal "fika" chats, formal meetings, or after-hours activities. Check it out: Axis HQ Your well-being matters to us. We offer a range of benefits, including a company bonus, Friday cake, wellness allowance, health insurance - and even your own Axis bicycle. To learn more about Axis, our innovative products, solutions, and vibrant company culture, explore: Life at Axis blog Engineering at Axis blog Innovation at Axis Ready to Act? Axis is a company realizing the benefits of a diverse workforce. We know that diversity in groups creates a better working environment and promotes creativity, something that is fundamental for our success. We welcome all applications. Vacation is important! At Axis we value work-life balance and that means that during summer many of us are on a well-deserved vacation. During this period, you can expect some delay in our response. We will review applications in August and get back to you as soon as possible. In case of questions, please reach out to recruiting manager Lisa Sjungare at phone +46 46 272 1800

At ABB, we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world. This position reports to: R&D Team Lead__ Your Role and Responsibilities Are you ready to take the next step in your R&D career and help drive innovation within one of the world’s leading technology companies? As R&D Scientist, you will become a part of the Power Electronics & Applications team at ABB Corporate Research in Västerås, Sweden. ABB's Corporate Research serves as the innovation engine, ensuring our technological leadership both now and in the future. We work closely with other research centers, business areas (Motion, Automation, Electrification), and academic and industrial partners. Within our creative and highly skilled team, we design, build, and validate novel concepts and prototypes for both physical and digital systems. Our work covers the entire chain, including electric energy sources, grid-connected converters, electric motors and drives. As part of this role, you’ll report to the R&D Team Manager, actively collaborating on and driving the execution of exciting R&D projects. To thrive in this position, a positive and structured mindset, a solid technical background, and genuine enthusiasm for leveraging our highly advanced simulation and experimental facilities are essential. This regular employment opportunity serves as an excellent starting point for an engaging career within ABB. Key Responsibilities Lead and drive R&D initiatives from idea to validated concept, including defining scope, collaborating with key stakeholders, and sharing results. Develop and validate innovative solutions in applied power electronics, through high-fidelity modeling of power electronics and control strategies, as well as hands-on design and construction of experimental test setups in our laboratories. Explore and challenge conventional approaches, scouting new technologies and concepts while contributing to the development of digital solutions for ABB’s future portfolio. Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone brings something unique, and together we push ideas forward to solve real problems. Being part of our team means your work matters - because the progress we make here creates real impact out there. Qualifications for the role PhD in power electronics, electrical engineering, applied mathematics, or an MSc combined with substantial relevant industry or research experience, with a strong theoretical foundation and hands-on expertise in power electronics topologies, control, and applications (e.g., grid-connected converters, energy storage, Electric motor drives). Proficiency in the design, modeling, simulation, and optimization of power converters and drives, including experience in condition monitoring and diagnostics of the systems. Strong experimental and analytical skills, with proven ability to design and implement test setups, plan and conduct experiments, analyze results, and clearly document findings. Knowledge of data-driven methods, machine learning, and advanced modeling techniques is considered a strong plus, especially for applications in predictive modeling, condition monitoring, and the optimization of systems. A collaborative and results-driven mindset, enabling effective cooperation across R&D teams and business stakeholders, combined with the initiative and leadership needed to deliver high-quality results on time and within budget. What’s in it for you? We empower you to take initiative, challenge ideas, and lead with confidence. You’ll grow through meaningful work, continuous learning, and support that’s tailored to your goals. Every idea you share and every action you take contributes to something bigger. ABB provides competitive benefits, ask us! More about us  Recruiting Manager Omer Ikram ul Haq, +46 (73) 066 06 22, will answer your questions about the position. Union representatives – Sveriges Ingenjörer: Carl-Fredrik Lindberg, +46 70 691 10 80; Unionen: Katja Saari, +46 730 77 05 02; Ledarna: Lenny Larsson, +46 706 32 85 47. All other questions can be directed to Talent Partner Robert Noren, +46 72 461 20 95. We look forward to reading your application in PDF format. Last day to apply is August 10. Please note that the interview process is ongoing, apply now to secure your spot in the recruitment process! Please note that to be eligible for employment at ABB Sweden, you will need to pass our pre-employment screening steps. This includes a reference check, a drug test, and could also include an extended background check. Building a cleaner, smarter future takes all kinds of minds: the curious, the courageous, and the creative. That's why we welcome people from all backgrounds and experiences. Ready to make an impact? Apply today or visit https://www.abb.com to learn more about the impact of our solutions across the globe.

We are Geely Technology Europe. A unified European R&D centre within Geely Auto Group, where world-class engineers, developers and innovators push the boundaries of intelligent mobility. Our mission is to shape the next generation of vehicle architectures, digital technologies and intelligent systems for global markets. We integrate European customer and regulatory requirements early in the development process and support multiple brands within the Geely portfolio, including Zeekr, Lynk & Co and Geely. With nearly two decades of engineering experience in Europe, we continue to build smart, sustainable and user‑centric mobility solutions. We are building a high-impact team focused on turning AI ideas into validated concepts for next-generation vehicle systems. As an AI Engineer, you will work closely with domain experts across areas such as vehicle dynamics, energy management and intelligent drive, turning ideas into working prototypes and evidence-based feasibility assessments. This is not a traditional model development role. You will focus on understanding the core problem, validating whether AI is the right approach, and assessing if it creates meaningful value compared to existing solutions. You will play a key role in shaping which ideas move forward and why. What You'll Do * Work closely with domain experts to identify high-impact problems where AI can add value * Translate unclear ideas into structured problem statements, hypotheses and evaluation criteria * Design and build rapid prototypes using real or representative data (e.g. vehicle logs, simulations) * Define and evaluate KPIs linked to value creation (performance, efficiency, robustness, cost) * Benchmark solutions against baseline systems, alternative approaches and state-of-the-art methods * Assess feasibility beyond model performance, including data readiness, system constraints and integration complexity * Focus on the most critical unknowns early, avoiding over-engineering * Translate findings into clear, decision-ready recommendations (go / refine / stop) * Contribute to team development, ways of working and mentoring where relevant Who You Are: We believe you enjoy working in early-phase development, where clarity is created through exploration rather than given upfront. You likely have: * A degree in Computer Science, AI/ML, Robotics, Electrical Engineering, Applied Mathematics or similar * Several years of experience in applied AI/ML, prototyping, or technical concept development * Strong Python skills and hands-on experience with frameworks such as PyTorch or TensorFlow * Experience working with domain experts and translating engineering context into AI approaches And you have a proven ability to: * Move from unclear ideas → structured problem → prototype → recommendation * Design meaningful experiments and evaluate trade-offs beyond model accuracy * Identify the core problem behind a request * Assess whether AI is the right solution, or if a simpler approach is better * Communicate insights in a clear and structured way Nice to have: * Experience from automotive, robotics, energy, or other engineering-heavy domains * Familiarity with vehicle systems, control, simulation or time-series data * Experience working with hybrid approaches (AI + rules / optimization / physics-based models) * Exposure to early-stage product or concept development environments * Experience with cloud platforms or scalable experimentation environments Why should you join us? Let's face it, there are plenty of opportunities out there. But here's why joining us is a game-changer: * You will work on real vehicle challenges with a clear impact on future products and influence which AI concepts move forward and why * Collaborate across domains with experienced engineers & specialists and operate in an environment that values fast learning, clear thinking, and evidence-based decision-making * Play a key role in shaping how AI is applied in practice, not just in theory * You'll be a part of a team that focuses on high-value problems, turns ideas into evidence and actionable decisions, and help shape the future application of AI in mobility * Flexibility & Balance: We understand that life happens, which is why we offer flexibility and work-life balance to ensure you can thrive both personally and professionally. * Perks & Benefits: From competitive salaries to benefits like 30 vacation days, 9 additional ATK days and an annual STI program to reward your performance, we've got you covered. Do you want to join us on our journey? Welcome, to contact us for more information: Sofie Martinsson, Recruiter, sofie.martinsson@zeekrtech.eu for questions regarding the recruitment process. Last Application date: 2026-08-09 During the Swedish summer vacation period we won't be able to answer any questions about the process or the position. The recruitment process will start up again in mid to late August. To ensure a fair and objective recruitment process, we have chosen not to request a personal letter, though you are welcome to include one if you wish. Instead, we rely on selection questions and assessment tests, allowing us to focus on your experience and competence for a more efficient and unbiased recruitment process. A background check will also be conducted on the final candidate, including verification of personal details, employment history, financial standing, and any criminal records. To find out more about Geely Tech EU, visit our website. Read more about our recruitment process here. Please note that due to GDPR, we can only accept applications sent through the recruitment system, not via email or other channels.

Surgical Science is a global organisation and leading provider of medical training simulations and software solutions. Surgical Science is listed on Nasdaq First North Growth Market.   Together with healthcare partners and customers in more than 90 countries, we enhance patient safety and healthcare outcomes through evidence-based, state-of-the-art simulation technology that improves clinical proficiency and performance - enabling safe and effective training without putting patients at risk.   Our solutions are used by medical training centres, universities, hospitals, and the medical device industry for practice, assessment, and certification.   With offices in Gothenburg (HQ), Stockholm, Tel Aviv, Cleveland, Cardiff, and Shenzhen, we are a fast-growing and stable organisation in a rapidly evolving world. We foster a hybrid work culture that supports onsite and remote collaboration across teams and time zones.   The role As a Software Developer in our team, you’ll dive into a large C++ codebase and work with our proprietary 3D engine and physics engine to build lifelike simulators for healthcare professionals. Collaborating with team members across different locations, you’ll refine and develop advanced medical simulations with realistic 3D graphics, soft-body dynamics, VR integration, and custom hardware integration, including robotics.   Your profile We think you are a self-driven, results-oriented professional with a curious mindset. You take a holistic approach to coding and persevere in solving problems. You enjoy working independently, are comfortable working with complex code bases, and like building solutions together with brilliant colleagues. You are generous in sharing your knowledge with others and reaching out when needed.   To succeed in this role, we think you have: 2+ years of experience in C++ and a solid foundation in linear algebra and 3D mathematics. Worked with Git/GitHub & agile methodologies. Experience developing real-time or performance-critical applications. Experience with Windows development environments and Visual Studio. A degree in computer science, software engineering, or equivalent. A professional level of English.   It is beneficial if you also have any of the following: Prior knowledge of graphics rendering APIs such as Vulkan or DirectX. Experience with game and physics engines or related frameworks (e.g. Unreal, Unity, PhysX, Cuda, or similar). Experience in Dev tools such as JIRA, Jenkins, CMake, TeamCity, etc. Experience in VR Development, haptics & shader programming. Experience in additional programming languages, preferably C# & Python. A passion for programming and crafting robust, maintainable, and high-performance code. Experience with AI-assisted coding tools and workflow.   Why choose us? Be part of a team developing the next-gen medical simulators with life-like graphics, world-leading haptics feedback and cutting-edge physics simulations Collaborate with a multidisciplinary team of highly experienced developers, UX designers, medical experts, and product specialists to push the boundaries of realism and interactivity in simulation-based learning. Work in an environment where your creativity, passion and ideas truly matter, and help shape products that train healthcare professionals and ultimately contribute to better patient outcomes. Take ownership of meaningful technical challenges, from architecture and performance optimization to user experience and device integration, with a high degree of influence over technical decisions, product direction, and engineering practices.   Benefits: 🌍 Global environment (English as primary language) 💻 Hybrid work ⌚️ Flexible working hours 🏩 Optional Private healthcare 💚 Wellness allowance (Friskvårdsbidrag) 🚲 Optional bicycle lease   Surgical Science as an employer Surgical Science is a global and continuously expanding organisation. You will be part of a dynamic, creative environment where we make sure to allow all employees to influence and contribute with their own unique experiences and knowledge.   Guided by our core values -  curiosity, respect, and perseverance - we strive to empower our people by recognising their strengths, supporting their growth, and creating opportunities to make a real impact.   We invite you to join us on this exciting and meaningful journey - to shape the future of medical training and improve care for patients around the world.   Apply today! If you think you would fit our fantastic team and enjoy our work environment, apply as soon as possible as recruitment is ongoing. Let us meet and work out together whether we are a match! We kindly request that you apply with a CV in English.