Sökresultat för "Computer science"

Örebro University and the School of Science and Technology are looking for one doctoral student for the doctoral programme in Computer Science, concluding with a doctoral degree. Start date: Fall 2026. The PhD student will belong to the graduate school within the Wallenberg AI, Autonomous Systems and Software Program (WASP). 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/ The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry. Project description The PhD student will be affiliated with the Department of Computer Science and will carry on research within the field of cybersecurity for embodied AI. While cybersecurity threats in AI are often studied in software-based environments, the physical embodiment of AI in robots and autonomous systems introduces new, largely unexplored risks and opportunities. This PhD project will investigate: How embodiment and physical configuration affect the cybersecurity posture of AI-driven systems; The role of self-awareness in security, i.e., how robots can assess their own vulnerabilities based on their embodiment and operational state; How dynamic reconfiguration can enhance resilience, e.g., redistributing sensor reliance, modifying behaviour or adjusting control strategies in response to attacks. Rather than relying solely on traditional security mechanisms, this research aims to explore how AI systems can proactively evaluate their own weak points and autonomously adapt to mitigate security risks. Supervision: The doctoral student will be supervised by Dr. Alberto Giaretta (primary) and Professor Mauro Conti (secondary). The programme, doctoral studentship, entry requirements and selection To see the job advertisement in its entirety, visit: https://www.oru.se/english/career/available-positions/job/?jid=20260197 Information For more information about the programme and the doctoral studentship, contact Dr. Alberto Giaretta (alberto.giaretta@oru.se). For administration issues, contact Prof. Martin Magnusson (martin.magnusson@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 Proof that you meet the general and specific entry requirements (copies of the original certificate and official transcript for bachelor's and master's degrees) Independent project (degree project) Other relevant documents, course and degree certificates verifying eligibility Description of research interests – detailing the field of research you are interested in, including, if applicable, theoretical and methodological approaches (2-5 pages). 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 3 August 2026. 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.

Take the opportunity to become part of a growing team in the Cybersecurity and AI area.  We have some of the highest application numbers in Sweden for our bachelor’s programmes in Networking, Infrastructure and Cybersecurity, and Graphic Design and Web Development. We also offer a popular master’s programme in Cybersecurity. For more information, visit Department of Computer Science and Informatics. We invite applications for a postdoctoral researcher to join our research team in exploring the intersection of cybersecurity and artificial intelligence (AI) with a human-centered focus. The position is shared between the Cybersecurity and Privacy Research Group (CPR) and the Human-Centered Technology Group (HCT). The position is focused on the intersection of Cybersecurity and AI within the project SAVIOR (AI-Supported Alert Validation for Industrial SOC (Security Operations Center) Response). SAVIOR focuses on reducing the need for manual communication during the validation process and post-incident analysis reporting within an end-to-end SOC ecosystem comprising a technology provider, a SOC operator, and SOC customers.  We are seeking a candidate with a strong publication record to conduct daring research in this interdisciplinary and fast-moving field. Job description  You will conduct research during 80% of your time in some of the relevant areas mentioned, while the remaining 20% will be spent on teaching or other administrative duties in courses relevant to your competencies.  We offer you  A dynamic working environment at a collaborative, internationally connected, and globally oriented university; A possibility to continue your academic career within the field of Computer Science; Teaching in programmes with a close connection to the industry, where all students gain experience from internships; A workplace in the city center of Jönköping, surrounded by nature and lakes, but also near several airports and public transport; Help to relocate and settle in Jönköping. More information for international employees about Jönköping University as a workplace and living in Jönköping.  Qualifications  We are seeking a candidate who: has been awarded a doctoral degree in Computer Science, Informatics, Cybersecurity, AI, Machine Learning (ML), Data Science, or another closely related subject, no more than three years before the application deadline; has documented knowledge of AI and ML; has demonstrated research experience in areas such as cybersecurity, AI-supported systems, data-driven security, or closely related fields; has experience in implementing, evaluating, or applying AI/ML-based methods, for example, ML, generative AI, retrieval-augmented generation, explainable AI, anomaly detection, or decision-support systems; has a strong publication record relative to career stage; has the ability to conduct independent research while also collaborating in interdisciplinary research environments. It is meritorious if you: have experience working with SOCs, SOC workflows, SOC data, alert validation, incident response, or post-incident analysis; have experience in human-computer interaction, human-centered AI, explainable AI, or user-centered design; have experience designing, conducting, and analysing empirical studies, for example, user studies, interviews, experiments, or field studies; have experience collaborating with industry or other external stakeholders; have a good ability to communicate in both spoken and written Swedish. For complete eligibility requirements for a position as a Postdoc at Jönköping University, see the applicable parts of the"Regulations for the employment of teachers at Jönköping University."  Information  The position is a temporary 100% employment for 2 years, starting 2026-10-01 or by agreement. Collective agreements and individual wages apply.  We value having an organization made up of diverse skills, experiences, and abilities, which is why we encourage applications from all backgrounds. We are committed to equality and diversity within our organization.  More information regarding the recruitment process is in our "Appointment procedure".  Welcome with your application, no later than 2026-08-31 Your application is preferred in PDF form and should include:  Cover letter, CV,  PhD thesis, Certified copies of certificates and diplomas. Tekniska Högskolan är en av fyra fackhögskolor vid Jönköping University. Vi erbjuder attraktiva tekniska utbildningar på grund- och avancerad nivå och bedriver avancerad forskning inom en rad teknikområden. Tekniska Högskolan har examensrättigheter för forskarutbildning inom den övergripande inriktningen industriell produktframtagning. Genom samverkan utvecklar vi ny teknik och sprider ny kunskap för att stärka företags konkurrenskraft. Tekniska Högskolan har tilldelats ackrediteringen ”Engaged University” av den internationella organisationen ACEEU (Accreditation Council for Entrepreneurial and Engaged Universities) och fått betyget ”Excellent” i tre kategorier. Hos oss arbetar du nära dina kollegor i en internationell miljö med stora möjligheter att påverka och utvecklas. Jönköping University är ett modernt lärosäte som kännetecknas av sin internationalisering och entreprenörsanda. Här finns välkvalificerade, uppfinningsrika och företagsamma medarbetare från hela världen. Vi utvecklar ny kunskap och delar kompetens genom hållbara samarbeten med näringsliv, offentlig sektor och andra akademiska institutioner. Vi erbjuder en jämlik och inkluderande arbetsplats och vi välkomnar sökande med olika bakgrund. Läs mer om oss på www.ju.se

The School of Engineering (JTH) conducts research and teaching in computer science, computer engineering, and informatics. We have two growing departments in these areas, with approximately 50 employees. Your placement will be at the Department of Computer Science and Informatics. The Department of Computer Science and Informatics offers academic programmes in subjects ranging from software engineering and embedded systems to user experience design and cybersecurity, and conducts research in associated areas. Our education programmes are developed in close collaboration with the surrounding industry and have an annual intake of approximately 300 students. In our department, we have two research groups, Human-Centred Technology (HCT) and Cybersecurity and Privacy (CPR). The HCT group focuses on designing, developing, and evaluating technologies that make our lives easier and better, always with the end user in mind. The CPR group focuses on making cybersecurity and privacy work for organisations and individuals. For more information about our department and research groups, visit the Department of Computer Science and Informatics (switch to the Swedish version for all bachelor programmes) at ju.se. We are now looking for an assistant professor in computer science with a specialisation in cybersecurity. You will be part of the team that teaches in our cybersecurity programmes (bachelor's and master's) and conduct research in the Cybersecurity and Privacy Research (CPR) research group. Our research areas primarily focus on the human, organisational, and strategic aspects of cybersecurity and privacy. In your application, we would like you to describe how you envision contributing to our research environment. For more information about the CPR group, visit the Cybersecurity and Privacy Research page. JOB DESCRIPTION Before you apply, we would like you to take a moment to get to know us. Have a look at our website, explore what we do, and think about where you might fit. In your application, tell us how you see yourself as part of the puzzle, what you would bring to the team, and what you would like to build, develop, or explore if you joined us. We are interested not only in what you have done, but also in where you want to go and how that aligns with our future directions. Our environment We offer an academic environment characterized by collaboration and a lack of hierarchy. The direction of our research and the outline of our education are up to the group and its members. The other way around, your opportunities to conduct research depend on your commitment and ability to contribute to research applications, since we are primarily funded by external projects. We can guarantee 30% research time during your first year, but after that, your research opportunities will largely depend on the projects and funding we develop together. Academic life here requires initiative, creativity, and a willingness to help shape your own opportunities. What we offer What we can offer is a group of colleagues who enjoy working together and who believe that academia should be both meaningful and enjoyable. We have popular educational programmes, an active research environment, and a track record of making an impact in both academia and society. We have strong networks, good industry and public-sector contacts, ongoing projects, and many ideas for new ones. Most importantly, we offer an environment where you can build something of your own. If you have the ambition to develop research, education, collaborations, or entirely new initiatives, you will find colleagues who are willing to support you and help make things happen. QUALIFICATIONS You should have a PhD in the relevant area and demonstrate pedagogical merit in accordance with the regulations for employment at Jönköping University. The candidate should also have documented skills in teaching in English. You must have solid and documented experience conducting research in cybersecurity/information security, or a related field. You also need experience in teaching at least one of the following areas: cybersecurity, information security, networking and infrastructure, or related areas. It is meritorious if you have: Proven experience in competitively obtaining external research grants from relevant funders. The ability to teach courses on adjacent programmes in the department, e.g., software development, human-computer interaction, embedded systems, etc. Ability to communicate in both spoken and written Swedish. For complete eligibility requirements for a position as an Assistant Professor at Jönköping University, see the applicable parts of the Regulations for the employment of teachers at Jönköping University. INFORMATION The position is a permanent full-time employment, starting January, 2027, or by mutual agreement. Collective agreements and individual wage setting apply. APPLICATION Welcome with your application, no later than August 31, 2026. The application should include: cover letter; CV; publication list; pedagogical portfolio; attested copy of PhD degree certificate; research and education statement (future research plan and education interest); any other document needed to prove the qualifications according to the Appointment Procedure at JU. We firmly decline all contact with staffing and recruitment agencies, as well as job ad salespersons. The School of Engineering is one of four schools within Jönköping University. We offer attractive technical education at undergraduate and graduate levels and conduct advanced research in several technological areas. Jönköping University is a modern institution, characterised by internationalisation and an entrepreneurial spirit. We attract highly qualified, inventive and enterprising people from all around the world. For more information, visit www.ju.se

About the Role ManoMotion is looking for a highly skilled Computer Vision Engineer to develop robust, high-performance vision solutions for real-world applications. Our AI Engineers manage the day-to-day work related to neural-network architecture, training, testing, and data management. This role will work closely with them while focusing more deeply on the complete computer-vision system. You will combine machine learning with advanced image analysis, detection, tracking, geometry, filtering, and algorithmic methods to improve the accuracy, stability, latency, and reliability of our products. We are looking for someone who understands that a production-ready vision solution often requires more than a neural network. You should be able to identify model limitations and build additional processing, tracking, filtering, calibration, and decision logic around the AI models to achieve a reliable final product. You will also take technical ownership of customer solutions, from understanding requirements and designing the system to implementation, deployment, and validation. Responsibilities Design complete computer-vision solutions combining AI/ML, image processing, tracking, geometry, and rule-based algorithms. Develop algorithms for image analysis, object detection, segmentation, motion analysis, pose estimation, and tracking. Build pre-processing and post-processing layers around AI models to improve accuracy, stability, and robustness. Analyse failure cases and determine whether they should be addressed through model improvements, additional data, tracking, filtering, image processing, or system-level logic. Work closely with AI Engineers responsible for model architecture, training, testing, and datasets. Integrate trained models into reliable, real-time computer-vision systems. Optimize vision pipelines for latency, frame rate, memory usage, and edge hardware. Take end-to-end technical ownership of customer solutions and integrations. Participate in customer meetings, technical workshops, demonstrations, and on-site validation. Build maintainable, testable, and production-quality software. Use modern AI-assisted development tools such as Cursor, Claude, ChatGPT, Copilot, and other relevant tools to accelerate development, testing, debugging, and documentation. Stay updated on advances in computer vision, machine learning, and AI-assisted software development. Key Qualifications Master’s degree, PhD, or equivalent professional experience in Computer Science, Computer Vision, Electrical Engineering, Robotics, Machine Learning, or a related field. At least 3 years of professional experience developing computer-vision or AI-based products. Strong practical knowledge of image processing, object detection, segmentation, tracking, motion analysis, geometry, and camera systems. Good understanding of deep learning, neural-network training, model evaluation, and data management. Proven ability to combine machine-learning models with traditional computer-vision algorithms and system-level logic. Strong programming skills in Python and experience with OpenCV, NumPy, PyTorch, TensorFlow, or similar frameworks. Good knowledge of C++ and high-performance software development. Experience deploying and optimizing models using technologies such as ONNX, TensorRT, CUDA, OpenVINO, or similar tools. Experience developing real-time vision systems for edge devices or computationally constrained hardware. Strong debugging, problem-solving, and software-engineering skills. Ability to work independently and take ownership of complex technical solutions. Excellent English communication skills and confidence interacting directly with customers. Preferred Qualifications Experience with object tracking, temporal filtering, sensor fusion, or multi-camera systems. Experience with camera calibration, 3D geometry, depth estimation, or pose estimation. Experience with NVIDIA Jetson or other embedded GPU platforms. Experience in industrial, robotics, automotive, safety, or human-machine interaction applications. Experience working with challenging real-world conditions such as occlusion, poor lighting, motion blur, and changing environments. Experience with Docker, CI/CD, cloud platforms, MLOps, or model monitoring. The Profile We Are Looking For You are a strong problem-solver who enjoys turning advanced computer-vision technology into dependable products. You understand AI models and training, but your main strength is designing the complete system around the model. When the neural network alone is not enough, you know how to add tracking, filtering, image processing, geometric reasoning, calibration, and decision logic to make the final product work reliably. You are comfortable working across algorithms, software, hardware constraints, and customer requirements, and you take ownership of the overall result.

Örebro University and the School of Science and Technology are looking for a doctoral student for the doctoral programme in Computer Science, concluding with a doctoral degree. Start date: Fall 2026. Project description The focus of the doctoral project is explainable machine learning for neuromorphic computing for predictive materials discovery. The doctoral student will be part of a larger project Brain-inspired AI Design of Topological Magnets for Sustainable Computing. The five-year project is a WASP-WISE-funded collaboration with research groups at Uppsala University and KTH for designing sustainable magnetic materials. The doctoral student will also be part of the Wallenberg AI, Autonomous Systems and Software Programme (WASP) and graduate school. WASP is Sweden’s largest individual research programme ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The programme 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/ The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious programme with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between doctoral students, researchers, and industry. Read more: https://wasp-sweden.org/graduate-school/ 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. 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 To see the job advertisement in its entirety, visit: https://www.oru.se/english/career/available-positions/job/?jid=20260203 Information For more information about the programme and the doctoral studentship, contact Dr. Stephanie Lowry, email: stephanie.lowry@oru.se, or Dr. Denis Kleyko, email: denis.kleyko@oru.se. For administration issues, contact Head of unit Martin Magnusson, email: martin.magnusson@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 characterized 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 Proof that you meet the general and specific entry requirements (copies of the original certificate and official transcript for Bachelor's and Master's degrees) Independent project (degree project) Other relevant documents, course and degree certificates verifying eligibility Description of research interests (1-2 pages) - describing your research interests, explaining why you are interested in this project, and why you would be a good fit for the position. 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 authorized 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 August 21, 2026. 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.

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.   Job Summary You will work with our Stockholm-based team to develop state-of-the-art surgical simulations for teaching surgeons. Your responsibilities will include:  Developing and refining advanced surgical simulations with realistic 3D graphics and rigid/soft body dynamics. Using the latest simulation technologies to create immersive surgical training. Collaborating with a global team, both on-site and remote. Together with the team, you will help shape the future of surgical training.   Your profile To succeed in this role, we are seeking not only technical competence but a person who can fit in our diverse team culture.   Must have requirements: Minimum 2 years of professional work experience with C++. Experience working with low-level graphics or compute APIs such as Vulkan, CUDA and/or experience with low-level physics simulation such as constraint-based solvers. Up to date with modern development tools and workflows, including AI-assisted coding. Generalist mindset, comfortable combining multiple skills and technologies to solve problems. You enjoy working in a project-oriented, multicultural environment within a global team. You work well independently while also enjoying being part of a collaborative team. You are not afraid to reach out to others when facing complex challenges and are open to sharing your knowledge generously. A degree in Computer Science, Software Engineering, or an equivalent field. Professional-level English and strong communication skills.   Nice to have: Experience using Git and Jira. Experience with agile methodologies.   Career path: Exposure to international collaborations Grow into a senior developer role or team leader in the future Work in a dynamic environment with unique projects   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.

What you will do Perform independent end-to-end validation of fraud detection ML models, including conceptual soundness, data integrity, feature engineering, model development, deployment design, and monitoring frameworks. Develop challenger models. Review and challenge first-line fraud model methodologies, assumptions, and implementation choices (e.g., scikit-learn, LightGBM, graph models, anonaly detection techniques, GenAI components). Build and deploy agentic AI tools to support model validation workflows — automating review of model documentation and code, surfacing risks and inconsistencies. Assess model performance using appropriate fraud metrics (e.g., precision/recall, ROC-AUC, PR-AUC, cost-sensitive metrics, fraud rate capture, business impact trade-offs). Evaluate model stability, drift detection, retraining strategies, and production monitoring practices. Independently replicate model results where necessary and conduct challenger analyses to assess model robustness and limitations. Review large-scale transaction datasets and feature pipelines (e.g., >100M transactions, hundreds of features) to assess data representativeness, leakage risks, and bias. Evaluate model governance documentation, explainability approaches, and transparency — including regulatory compliance related to model risk, fairness, and data privacy. Validate new technologies applied in fraud detection, such as Graph Networks, Behavioral Biometrics, Anomaly Detection, and GenAI-based systems. Assess controls around CI/CD pipelines, deployment processes (e.g., Docker, Jenkins), and cloud environments (e.g., AWS SageMaker, S3, Athena, Lambda). Develop and maintain validation frameworks, testing standards, and model performance monitoring tools (e.g., SQL, PySpark, Python-based validation libraries). Collaborate closely with first-line fraud data scientists, ML engineers, product, and business stakeholders to ensure transparent communication of model risks and validation findings. Provide actionable recommendations and formally document validation outcomes in line with internal model governance standards and external regulatory expectations. Stay up to date with evolving fraud typologies, emerging ML/AI techniques, and regulatory developments in model risk management. Who you are Advanced degree (Master’s or PhD) in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Physics, or Engineering. 3+ years of hands-on experience in fraud-related modeling (e.g., transaction fraud, account takeover, identity fraud, payments fraud etc). Strong expertise in machine learning methods used in fraud detection, including tree-based models (e.g., LightGBM), anomaly detection, graph/network models, and advanced ML techniques. Deep understanding of the end-to-end ML lifecycle — from conceptual design and feature engineering to production deployment and monitoring — with the ability to critically challenge each stage. Strong programming skills in Python and SQL; experience with PySpark/Spark and large-scale data processing. Experience building agentic AI workflows. Familiarity with cloud-based ML platforms (e.g., AWS SageMaker, Lambda, S3, Athena) and production deployment workflows. Strong knowledge of model validation principles, model risk governance frameworks, and regulatory expectations. Experience assessing model bias, fairness, explainability, and privacy risks. Excellent analytical thinking and structured problem-solving skills, with the ability to assess complex models and clearly articulate risks and limitations. Strong communication skills, capable of translating technical findings into clear, actionable insights for senior stakeholders and non-technical audiences. Ability to work independently while constructively challenging first-line teams in a collaborative manner. Awesome to have Experience in BNPL, credit cards, payments, or other transaction-heavy financial products. Experience validating models in highly regulated environments. Experience mentoring junior validators or leading validation reviews. Exposure to inference of rejected transactions and understanding of fraud/credit overlap. Familiarity with AI governance frameworks and emerging AI regulatory requirements.

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. The Department of Computer Science, Electrical and Space Engineering conducts education and research in space-related fields and participates in the European University alliance project UNIVERSEH 2.0 (European Space University for Earth and Humanity): https://universeh.eu/   UNIVERSEH 2.0 aims to further develop and strengthen the alliance's position as the leading European university focused on space. The project offers a multilingual, interdisciplinary, innovative, and inclusive learning environment for students, researchers, and external stakeholders. A key objective is to bring together academia and stakeholders to address the evolving needs of the global space labour market. The project includes a variety of activities and events that promote collaboration between universities, industry, and society. These activities are important for addressing emerging societal challenges, developing future-oriented competencies, and contributing to sustainable growth within the space sector.   Duties   You will be part of a dynamic and international team within UNIVERSEH 2.0 and will work on activities related to Work Package 7 (WP7) – Service to Society. This work package focuses on collaboration between universities, the space industry, public-sector organizations, the wider community, and student space organizations.   Your duties will include planning, coordinating, and implementing activities and events. You will contribute to maintaining contacts with companies and organizations in the space sector, support collaborations with student-led space organizations, and work with different activities within the WP7. The position also includes participating in project meetings, contributing to the monitoring and reporting of activities, and supporting the achievement of project objectives and deliverables within the work package.   Qualifications and Experience   Applicants must be enrolled in a master's programme in a space-related field and have completed at least two semesters of study, including at least one semester at the Kiruna Space Campus. You must be able to demonstrate strong academic performance in space-related subjects.   Excellent command of English, both written and spoken, is required.   For this position, it is important that you possess strong communication and collaboration skills, are attentive and responsive to others, and have a solution-oriented and results-driven approach to your work. You should be able to handle multiple tasks simultaneously, work effectively under pressure, and prioritize responsibilities when necessary.   You should also have the ability to maintain a broad perspective, formulate clear objectives, and translate them into concrete and measurable activities. A structured and systematic working style, together with the ability to manage deadlines, resources, and risks effectively, is essential.   Terms   Employment as an amanuensis (teaching/research assistant) is regulated by Chapter 5 of the Swedish Higher Education Ordinance. Only students admitted to first-cycle (Bachelor's level) or second-cycle (Master's level) education may be employed as an amanuensis (Higher Education Ordinance, Chapter 5, Section 10).   Hourly Salary/Compensation   All assignments are compensated with an hourly salary and provide valuable professional experience for your CV. The hourly salary depends on the complexity of the duties: Level 1: SEK 156/hour (equivalent to approximately SEK 25,700/month for full-time work). Level 2: SEK 171/hour (equivalent to approximately SEK 28,200/month for full-time work). Information   The position corresponds to 40% of full-time employment, equivalent to an average of two days per week, for a period of five months, from 17 August 2026 to 31 January 2027, or as otherwise agreed. The duty station is Kiruna.   The workload may vary over time and by agreement, but the intention is to distribute the work in a manner compatible with university studies.   For further information, please contact: Victoria Barabash,(+46) 980-67532 mailto:victoria.barabash@ltu.se   In case of different interpretations of the English and Swedish versions of this announcement, the Swedish version takes precedence. 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   Application   We prefer that you apply for the position via the application button below. Please attach a cover letter, CV/résumé, and copies of verified academic transcripts and degree certificates. Please mark your application with the reference number below. Both the application documents and degree certificates must be written in either Swedish or English.   Application Deadline: 10 August 2026 Reference Number: 3770-2026

Halmstad University Halmstad University adds value, drives innovation and prepares people and society for the future. Halmstad University Since the beginning in 1983, innovation and collaboration with society have characterized the University's education and research. The research is internationally reputable and is largely conducted in a multidisciplinary manner within the University's two focus areas: Health Innovation and Smart Cities and Communities. The University has a wide range of education with many popular study programs. The campus is modern and well-equipped, and is situated close to both public transportation and the city center. More information about working at Halmstad University School of Business, Innovation and Sustainability The University consists of four interdisciplinary academies and the current position is located at the School of Business, Innovation and Sustainability (FIH). Here you get to work in a research and educational environment with a focus on sustainable development and entrepreneurship. The school trains future economists, engineers, environmental scientists and biologists. FIH offers education at the undergraduate and advanced level, as well as doctoral education in the field of Innovation Sciences. The research is multidisciplinary and often takes place in co-production with other actors. Description We seek a PhD student in Innovation Sciences with the subject focus on Innovations in Energy and Environment The PhD student will be a central part of the new research project Smart Renewable Energy Systems (SmartRESs) which investigates how to improve the energy flows of small- and medium-sized enterprises (SMEs) with both photovoltaics (PV), electric vehicles (EVs) and biogas production. The SmartRESs project is part of the Halmstad University ProActS research program, a multidisciplinary research collaboration on sustainability and circularity.   The PhD project is inherently interdisciplinary, uniquely combining innovation science, energy technology, and computer science to study how circular, sustainable, and renewable energy systems can be designed, implemented, and adopted within SMEs. The research project integrates perspectives and methods from all disciplines, and the PhD student is expected to engage in all parts while the exact balance between innovation-oriented and technical work can be adapted to the PhD students background, interests, and competencies. The PhD student will have a supervision team which includes experts from all fields. For the innovation science perspective, the PhD student will map and describe the value creation potential of SmartRESs in SMEs. This includes investigating barriers, drivers, value intentions, and organizational conditions that affect implementation of SmartRESs, and how the system is perceived and adopted by business managers and decision makers. For the perspective of energy technology and computer science, the PhD student will develop a model using data from collaborating SMEs to simulate the potential gains from SmartRESs. Furthermore, the PhD student will explore how the system best can be designed and, at a later stage, design a proof of concept together with project partners. The employment is initially funded for 2 years, making it possible to achieve a Licentiate degree. To pursue a full PhD degree, the candidate and supervisors are obliged to apply for additional external funding. Eligibility and assessment criteria Only those who are or have been admitted to third-cycle courses and study programs at a higher education may be appointed to doctoral studentships. (The Higher Education Ordinance Chapter 5 Section 3). The student’s ability to benefit from doctoral studies will be taken into account when we make the appointment. (The Higher Education Ordinance Chapter 5 Section 5).  Specific entry requirements for third-cycle studies in Innovation Sciences are those who have: completed a second-cycle degree that is relevant to the third-cycle subject Innovations in Energy and Environment  (Higher Education Ordinance, Chapter 7, Section 40). completed a second-cycle degree that is relevant to the research project SmartRESs and the third-cycle subject Innovations in Energy and Environment. Other requirements The applicant must have: a Master‘s degree with technical focus within energy, physics, mechanics, computer science, environmental science, industrial engineering and management, or equivalent. a good knowledge of spoken and written English. It is meritorious if the applicant has: Knowledge of renewable energy systems, energy issues or energy transition. Experience of digitalization, data analysis, artificial intelligence, machine learning, simulation or digital twins. Knowledge of innovation, sustainable business development, circular economy or industrial transition. Experience of programming or analysis tools such as Python, R or equivalent. It is also good if the applicant has: Good knowledge of spoken and written Swedish.  Experience of, and a proactive attitude and strong collaboration skills towards cross-organizational and interdisciplinary settings.  Salary Doctoral students are employees of the University and paid a salary according to a uniform salary scale, adjusted in relation to the progress in education. Application Applications should be sent via Halmstad University's recruitment system Varbi (see link on this page).  How to design your application  General Information We value the qualities that gender balance and diversity bring to our organization. We therefore welcome applicants with different backgrounds, gender, functionality and, not least, life experience. Read more about Halmstad University Information for International Applicants Choosing a career in a foreign country is a big step. Thus, to give you a general idea what we have to offer in terms of benefits and life in general for you and your family/spouse/partner please visit: International staff support

About Repli5 Repli5 builds computer vision training data for autonomous systems. Our customers are the engineering teams building perception stacks for autonomous vehicles, industrial robots, quality inspection systems. They come to us when their existing datasets are inadequate, and their models fall short. We combine simulation pipelines with generative AI workflows to produce high-fidelity synthetic and augmented training data at scale. That means augmentation of real-world imagery, domain adaptation on rendered scenes, and domain randomisation to cover the rare edge cases that inhibit model performance in production. The Role You will be Repli5's first dedicated commercial hire and the company's primary revenue driver. You'll report directly to the CEO, inherit an active pipeline, and build the sales motion from the ground up. This is not a quota-carrier role inside a mature sales org. You'll define the playbook - ICP targeting, outreach, qualification, pricing, and close. You will eventually hire the team beneath you. If you're looking for a script to follow, this isn't the right job. If you want to own a function and be rewarded when it works, read on. Industrial automation is our strategic growth focus. Experience in that vertical, or a network there, is a strong differentiator. What You'll Own The full commercial pipeline: prospecting, qualification, demos, negotiation, close Go-to-market strategy in collaboration with the CEO. Target verticals, positioning, pricing Account development and expansion on existing customers Partnering with the CEO and ML engineers on technical discovery calls and proposals CRM hygiene and pipeline reporting Laying the groundwork for the future sales team What We're Looking For Must-have: Proven B2B sales track record in enterprise software or deep-tech. Minimum 3+ years. Technical fluency sufficient to hold a credible first meeting with a computer vision or perception engineer. You don't need to write the code, but you need to understand what they're solving. Experience selling into one or more of: autonomous vehicles, robotics, industrial automation, computer vision / machine learning, simulation, defense / aerospace. Full-cycle sales ownership. You've sourced and closed deals, not just managed handoffs. Self-starter who builds structure in ambiguity, not someone who needs it handed to them. Based in Gothenburg or able to relocate; comfortable with regular travel. Strong advantage: Existing network across physical AI or industrial automation buyers (engineering leads, ML engineers, heads of perception, CTOs) Background or education in engineering, computer science, or a related technical discipline Experience at an early-stage company or in a market development / commercial lead role What We Offer Competitive base salary benchmarked to experience Equity options aligned with long-term company success Performance bonus tied to commercial outcomes Direct line to the CEO and genuine influence over company direction The autonomy to build the commercial function your way Recruitment Process Application Review First Interview (1-1 with CEO) - More about you. This is our chance to learn who you are and what you bring to the table. Technical Workshop (with 2-3 Repli5 team). More about Repli5. This is your chance to learn who we are, what we're building, and showcase your ability to converse on an engineering level. We'll walk you through the technology and product, and expect you to ask the questions a customer would - and start building the technical answers you'll need in the field.

We are looking for up to two senior lecturers in Electrical Engineering for permanent employment at the School of Science and Technology. Subject area The subject area for this position is Electrical Engineering. Background We are looking for up to two new colleagues to strengthen our teaching and research related to electrical engineering, at the intersection of electrical engineering, robotics, and autonomous systems. Topics of interest include control theory, signal processing, sensors, electronics and mechatronics; potentially extending towards robot manipulation, robot perception and machine learning. If you are passionate about advancing knowledge in these fields and enjoy working in an internationally connected research and educational environment, we would love to hear from you. The positions are based at the school’s unit for computer science, which conducts education in both computer science and electrical engineering, and is home to the research environment AASS (applied autonomous sensor systems) which is a dynamic and multi-disciplinary constellation at the intersection of computer science, robotics, artificial intelligence, computer vision, and cybersecurity. The successful candidate is also expected to interact with the university-wide centre for AI, Robotics and Cybersecurity (ARC). See also: https://www.oru.se/english/our-profile/arc-ai-robotics-and-cybersecurity-center/ Duties and responsibilities As a senior lecturer, you will divide your time between teaching at all levels, research, and any associated public engagement activities. On the teaching side, you will contribute to courses spanning the breadth of electrical engineering, from foundational to advanced level. This includes courses in electrical circuits and electronics, digital electronics, control theory, digital signal conditioning and processing, and electrical machines. Over time you will be expected to develop your own courses. Teaching encompasses supervision, examination, course development and administration, planning and evaluation. Teaching can be done in Swedish and English. On the research side, you are expected to publish in relevant international venues and attract external research funding. You will be integrated into the research environment with possibilities to establish an independent research agenda connected to the unit's general topics. There are also opportunities to take on leadership roles in research and education (for example, shaping degree programmes or leading a research team) and to contribute more broadly to the development of the unit's activities. Qualifications Those qualified for appointment as a senior lecturer are applicants who have demonstrated teaching expertise and been awarded a doctoral degree in a subject matter relevant for the position, or has the corresponding research competence or some other professional expertise that is of value in view of the subject matter of the position and the duties that it will involve. A general eligibility criterion for teaching staff at Örebro University is to have completed courses on teaching and learning in higher education corresponding to 10 weeks. Knowledge and skills equivalent to such courses may also be assessed to establish whether these provide eligibility. A teacher who at the time of appointment lacks such training or the equivalent competence, must complete the required courses no later than within two years of taking up the position. Assessment criteria To see the job advertisement and the assessment criteria in its entirety, visit: https://www.oru.se/english/career/available-positions/job/?jid=20260201  Information This is a permanent full-time position. At Örebro University, salary depends on the successful candidate’s qualifications and experience, and positions announced are, where appropriate, subject to a trial period. For more information about the position, contact head of unit Martin Magnusson, +46 19 30 38 70, email: martin.magnusson@oru.se, or head of school Henrik Olsson, +46 19 30 12 36, email: henrik.olsson@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 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: Covering letter, outlining how you believe you can contribute to the continued development of Örebro University CV with a relevant description of your overall qualifications and experience Teaching portfolio (as instructed in Örebro University's guidelines:  https://www.oru.se/globalassets/inforum-en/key_documents/human-resources/template-for-teaching-portfolio.pdf) Research portfolio Publication list Relevant scientific publications (maximum of five and in full-text format) Copies of relevant course/degree certificates and references verifying eligibility and criteria met Only documents written in Swedish, English, Norwegian and Danish can be reviewed. 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! After the application deadline, no supplements can be made electronically. If you have scientific publications that cannot be attached electronically to the application, please cite them in your application and contact mailto:hr@oru.se. 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.

Din nya roll  Vi söker nu en Digital Supply Chain Planner till ett internationellt och teknikdrivet team inom Service Market Logistics. Här får du en nyckelroll i att säkerställa hög tillgänglighet på reservdelar världen över – något som direkt påverkar kundnöjdheten för flera starka varumärken inom transport- och industrisektorn. Organisationen befinner sig mitt i en omfattande digital transformation, där data, analys och smarta tekniska lösningar står i centrum. I rollen planerar och optimerar du reservdelsflöden för globala distributionscenter och driver förbättringar genom analys, samarbete och nytänkande. Du kommer bland annat att: Ansvara för operativ planering för utvalda distributionscenter Följa upp prestation, identifiera avvikelser och driva korrigerande åtgärder Arbeta nära distributionscenter och intressenter globalt Leda och bidra till kontinuerliga förbättringsinitiativ i försörjningskedjan Vara en aktiv del av den digitala resan genom data, automation och avancerad analys Utforska ny teknik som maskininlärning och molnbaserade planeringslösningar Företagspresentation Vår kund är en global industrikoncern som är ledande inom utveckling av innovativa och hållbara lösningar för transport- och infrastruktursektorn. Med en lång historia och starkt fokus på framtiden erbjuder de en dynamisk arbetsmiljö där teknik, samarbete och kvalitet står i centrum. Här ges du möjlighet att vara en del av en organisation som bidrar till en mer hållbar värld. Bra att känna till Uppdragets omfattning: Heltid, 100% Anställningsform: Tidsbegränsad anställning som konsult via JobBusters. Start: Omgående. Slut: 2026-08-07, med möjlighet till förlängning I din ansökan: Säkerställ att det tydligt framgår att du är kvalificerad utefter kundens önskade kvalifikationer. För att bli framgångsrik i denna roll behöver du Universitetsutbildning inom exempelvis teknik, logistik, datavetenskap, statistik eller liknande. Erfarenhet av supply chain och lagerstyrning. Nyfikenhet på digitala teknologier och nya arbetssätt. Du trivs med komplexa datamängder och är skicklig på att omvandla insikter till konkreta förbättringar. Meriterande: Erfarenhet av Python, Java, SQL (gärna i molnmiljöer) Meriterande: Erfarenhet av Azure, DevOps och agila arbetssätt Meriterande: Erfarenhet av AI / Machine Learning Vi erbjuder Trygg anställning med kollektivavtal, försäkringar och tjänstepension Friskvårdsbidrag samt personalrabatter och erbjudanden via Benifex (ex. inom hälsa, fritid, transport och sjukvård) Flexpension och tillgång till Lifeplan pensionstjänst Extra ersättning vid föräldraledighet Företagshälsovård Långsiktiga uppdrag och personlig kontakt med din konsultchef Möjlighet att bygga värdefull erfarenhet, nätverk och framtida utveckling Välkommen med din ansökan Vi går igenom ansökningarna löpande. Då processerna i konsultvärlden ofta går snabbt kan tjänsten tillsättas innan sista ansökningsdatum – vänta därför inte med att skicka in din ansökan! Du behöver inte skriva ett personligt brev utan i stället ber vi dig svara på urvalsfrågorna i samband med ansökan.

ABOUT THE ROLE The Machine Learning Engineer will join a newly formed team focused on MLOps and ML Engineering within the data science team. This role is crucial for uplifting the existing ML infrastructure into a robust, scalable, and production-ready system, specifically supporting the increasing needs of the company. The engineer will design, build, and maintain the infrastructure, tools, and processes required for continuous integration, continuous delivery, and continuous training (CI/CD/CT) of machine learning models. This is a highly technical role that will interface with data scientists, data engineers, data architects and software engineers to ensure the reliability and performance of ML systems at scale. YOU WILL BE RESPONSIBLE FOR: ● Designing, implementing, and maintaining scalable MLOps pipelines for model training, testing, deployment, and monitoring. ● Building and managing the cloud infrastructure to host and serve real-time and batch machine learning models. ● Establishing robust model monitoring (drift, performance, data quality) and alerting systems to ensure operational health of ML services. ● Assisting and collaborating with Data Scientists to ensure production readiness of models, focusing on code optimization for low latency and performance. ● Developing high-quality, reusable MLOps tooling and best practices to drive efficiency across the entire ML lifecycle. ● Driving automation initiatives to minimize manual intervention in model deployment and management. ● Troubleshooting production issues, performing root cause analysis, and implementing preventative measures for ML systems. OUR SUCCESSFUL CANDIDATE WILL HAVE THE FOLLOWING: Essentials ● Mid-senior level experience in a Machine Learning Engineer, MLOps Engineer, or similar role. ● Strong proficiency in Python for data and ML workflows and infrastructure automation tools (e.g. Terraform) for scalable infrastructure provisioning. ● Extensive experience with cloud platforms ( we work with GCP) for building and deploying ML systems. ● Deep understanding of containerization technologies and CI/CD pipelines. ● Solid experience with ML experiment tracking, model registry, and feature store platforms. ● Experience working with high volume, complex data architectures and real-time processing. ● Experience with SQL for data access and pipeline integration. ● A strong foundation in computer science fundamentals, software engineering best practices, and system design. Most importantly, we are looking for a continuous learning mindset and passion for researching and adopting the necessary technologies to solve complex MLOps and ML Engineering challenges. Nice To Have ● Experience working with Google Cloud Platform (GCP) services, particularly Vertex AI for training, deployment, and monitoring of ML models. ● Familiarity with building and deploying LLMs in production environments at scale. WHO WE ARE At the core of LeoVegas Group is Team Leo. Our culture is our foundation and is what enables us to innovate, build, and lead as we trailblaze our way through the igaming industry. We’re a team of over 2000 innovators, initiators, and groundbreakers working in a fast-paced and agile environment across 19 offices worldwide. BENEFITS ● Hybrid work policy ● 4 weeks of Workation (T&C apply) ● 30 annual vacation days ● Occupational Pension ● 5,000 SEK wellness contribution annually ● Parental Leave Top-Up ● Possibility to enrol in a private health care insurance for both you and your partner ● 1,500 SEK equipment allowance ● Benify - benefits portal with many offers and discounts In our pride, we empower our teammates to find their roar and run with their wildest ideas. We don’t wait for things to happen; we pounce and make it happen! Would you be a good fit for the Leo Pride - give us a roar! **As our company working language is English, we’d like to see your CV in English, please**

Vi söker en engagerad och noggrann avdelningsadministratör för ett föräldravikariat. Du kommer att spela en viktig roll i att stödja institutionen för data- och informationsteknik med effektivt och ändamålsenligt administrativ service. Information om avdelningen https://www.chalmers.se/institutioner/cse/ är en integrerad institution mellan Göteborgs universitet och Chalmers tekniska högskola AB, belägen på campus Johanneberg och campus Lindholmen i Göteborg. Dess verksamhet omfattar högklassig forskning, utbildning och nyttiggörande inom områden som AI & machine learning, software- & hardware engineering, computer science, security, network & systems. Organisationen består av ca 350 anställda med en hög internationell sammansättning med individer från över 50 nationaliteter. Beskrivning av tjänsten Som administratör är du en nyckelperson som hanterar allt från rutinuppgifter till akuta frågor som måste lösas här och nu. I rollen stöttar du en av våra vetenskapliga avdelningar med personaladministration, beställningar, workshops, resor, gästhantering, akademiska högtider m.m. Då verksamheten är integrerad är du aktiv inom både Göteborgs universitet och Chalmers tekniska högskola och vid båda våra campus Johanneberg och Lindholmen. Du kommer ha din huvudsaklig arbetsplats på campus Lindholmen. I rollen nätverkar du aktivt både inom avdelningen, institutionen och de båda huvudmännen. Vi ser även att du tillsammans med dina kollegor är med och utvecklar våra rutiner för att säkerställa en hög servicenivå såväl internt som externt. Dina arbetsuppgifter omfattar bland annat: Introduktion av nyanställda Bokning och beställningar i samband med akademiska högtider Diareföring/arkivering/även protokollskrivning kan ingå Inköp Ansvar för administration av konferenser och möten Bokning av resor och hotell för såväl anställda som externa gäster Ekonomiadministration som t.ex. arvodesräkningar och kontering av fakturor Felanmälan av faciliteter m.m. Arbetsuppgifterna kan variera efter behov. Anställningsform Tidsbegränsad anställning i form av ett föräldravikariat på heltid under cirka ett år, med start i oktober 2026 eller enligt överenskommelse. Kvalifikationer Vi söker dig som: har lägst gymnasieutbildning men gärna utbildning på högskolenivå (eller motsvarande) har flerårig erfarenhet av administrativt arbete har god datorvana är van användare av Officepaketet kommunicerar väl på både svenska och engelska då vi verkar i en internationell miljö Det är meriterande om du har: erfarenhet av liknande arbetsuppgifter inom statlig verksamhet kunskap i Agresso, Proceedo, Primula eller andra relaterade system som Göteborgs universitet och Chalmers använder För att lyckas i rollen ser vi att du: har ett genuint intresse för människor och trivs med att samarbeta med andra är serviceinriktad och tycker om att ge stöd till verksamheten arbetar självständigt och tar egna initiativ har förmåga att identifiera och genomföra förbättringar i administrativa arbetssätt är strukturerad, noggrann och flexibel kan planera, prioritera och hantera flera uppgifter samtidigt Att arbeta på Chalmers Chalmers värdeord: öppenhet, respekt, delaktighet, mångfald och kvalitet, genomsyrar synen på vår arbetsmiljö och våra medarbetare. Vi erbjuder en stimulerande arbetsplats i en akademisk miljö, där studenter och medarbetare drivs av att skapa värde för en hållbar framtid. Våra förmåner för anställda omfattar bland annat: Flexibilitet att arbeta på distans med hänsyn till verksamhetens behov. Semester upp till sju veckor per år. Kollektivavtal med föräldralön, sjukpenningtillägg, läkemedelskostnader, löneväxling, pension, inarbetade dagar samt flextid. Friskvårdsbidrag samt en friskvårdstimma varje vecka under betald arbetstid. Här kan du läsa mer om våra https://www.chalmers.se/om-chalmers/arbeta-hos-oss/chalmers-som-arbetsgivare/formaner-och-villkor/ och hur det är att https://www.chalmers.se/om-chalmers/arbeta-hos-oss/. Ansökningsförfarande Ansökan ska vara märkt med namn och dokumenten sparas som PDF-filer enligt nedan: CV Personligt brev 1-2 sidor Bakgrundskontroll kan komma att genomföras som en del av ansökningsprocessen. Sista ansökningsdag: 14 augusti Vid frågor, vänligen kontakta Anna Engkvist Administrativ chef anna.engkvist@chalmers.se *** Chalmers undanber sig alla erbjudanden om ytterligare jobbannonsering eller rekryteringsstöd i samband med denna rekrytering. *** Chalmers tekniska högskola i Göteborg forskar och utbildar inom teknik och naturvetenskap på hög internationell nivå. Universitetet har 3 100 anställda, 10 000 studenter och utbildar ingenjörer, arkitekter och sjöbefäl. Med vetenskaplig excellens som grund utvecklar Chalmers kompetens och tekniska lösningar för en hållbar värld. Genom globalt engagemang och entreprenörsanda skapar vi innovationskraft, i nära samarbete med övriga samhället. Chalmers grundades 1829 och har än idag samma motto: Avancez – framåt.

We are looking for a skilled Fullstack Developer with a strong software engineering foundation and a passion for building high-quality products. You will work across the entire technology stack, developing user-facing applications, backend services, and platform capabilities that support our AI-powered virtual fitting technology. This role requires a high degree of ownership and initiative. As part of a fast-moving startup, you'll have the opportunity to influence technical decisions, contribute to product strategy, and take features from concept to production. Qualifications Strong experience with JavaScript and TypeScript. Experience building modern web applications using React and Next.js. Experience developing backend services using Node.js. Experience designing and consuming REST APIs. Familiarity with relational databases such as PostgreSQL. Solid understanding of software engineering principles, system design, and web architecture. Experience working with Git and Linux-based development environments. Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience). Nice to Have Python Experience integrating AI or Machine Learning solutions into production systems Knowledge of Computer Vision technologies Experience working with SaaS products or e-commerce platforms

Assignment Overview: Software Tester role within VCT EE I/T focused on Complete Vehicle Integration Test SIL/HIL testing. The position involves performing complete vehicle integration testing and verifying electrical systems from an integration perspective. The role covers the entire testing lifecycle and contributes to the continuous improvement of test methods and environments to ensure Scania's embedded electrical systems meet high quality and safety standards. Responsibilities: Perform complete vehicle tests and verify complete electrical systems from a SW integration perspective (~20-30SW deliveries/4week). Execute integration tests for both new and existing functionality. Participate in the full test cycle, including: Test planning Test leadership Test execution Fault analysis Contribute to the continuous improvement of test methods and test environments for current and future functionality. Verify functionality and quality through SIL/HIL testing activities. Support efforts to ensure Scania's embedded electrical systems are safe and of high quality for customers. Education (Must Have/Nice To Have): Must Have: Engineering background within Mechanical Engineering, Embedded Systems, Computer Science, or a related field. Experience (Must Have/Nice To Have): Must Have: Verification and/or Validation experience. Python experience. Experience performing testing activities and fault analysis. ISTQB certification. Nice To Have: Experience with SIL/HIL testing. Experience with complete vehicle integration testing. Experience working with electrical systems from an integration perspective. Language: Must Have: English Personal / Soft Skills: Analytical and systematic approach to problem solving. Good and precise communication skills. Interest in understanding root causes of issues. Interest in testing and technology. Ability to work collaboratively within a team environment. Other Specifications: Focus area: Complete Vehicle Integration Test using environments such as SIL/HIL. Car Driver's license required. Truck driver's license is preferred. SIL environment is internal Python based on Functional Mockups. HIL is Dspace and internal developed. Dspace tool chain ontop (ControlDesk) + Python framework.