Sökresultat för "Transfer Techniques"

Vill du ha ett arbete där du känner att du får göra skillnad på riktigt? Då kan detta uppdrag vara rätt för dig! Vi söker nu en personlig assistent som vill arbeta hos en kund i Järfälla. Arbetstiderna är 12:30-19:00 och 19:00-06:00 (6h jour). Du inleder din anställning som timvikarie med möjlighet till en fast schemarad. Tjänsten tillsätts med omgående start. Som personlig assistent ger du individuellt anpassat stöd till en person med funktionsnedsättning i dennes vardag. Arbetet utförs i kundens hem och i andra miljöer där kunden vistas. Om kunden och arbetsuppgifterna: Kunden är en man i 50-års åldern som bor i Järfälla. Som personlig assistent till kunden kommer du att spela en avgörande roll i hans dagliga liv. Du kommer att bistå kunden med dagliga aktiviteter, vilket inkluderar: Förflyttningar Matlagning Personlig hygien Toalettbesök På- och avklädning Bidra till en trygg och stödjande miljö Du som söker måste uppfylla följande krav: Är över 30 år Du behärskar svenska flytande i tal och skrift Du kan laga mat Du har erfarenhet av arbete som personlig assistent Du har kunskap om förflyttningsteknik Arbetet innefattar manuella förflyttningar där det är en fördel om du har god räckvidd och fysiska förutsättningar för att kunna arbeta ergonomiskt Du är ansvarstagande, lyhörd och har ett respektfullt bemötande Vi erbjuder Ett meningsfullt och varierande arbete Möjlighet att göra konkret skillnad i en annan människas liv Ett arbete där relation och kontinuitet värdesätts Trygga anställningsvillkor enligt kollektivavtal med kommunal Individuell lönesättning, timlön enligt överenskommelse Arbetsgivare: IGS Assistans AB Lön, ersättning och förmåner Timlön enligt individuell överenskommelse. Kollektivavtal med Kommunal finns. Sök endast om du bor inom rimligt avstånd! Anställningsvillkor enligt kollektivavtal med Kommunal, Individuell lönesättning. Arbetsgivare blir IGS assistans AB. Obs! Giltig legitimation måste visas innan avtal skrivs. IGS Assistans är ett privat företag med över 25 års erfarenhet inom personlig assistans. Vi har idag ca 250 anställda och sitter i ljusa, fräscha kontorslokaler vid Globen i Stockholm, med plats för personalmöten och utbildningar. Vi lägger stor vikt vid kundens individuella önskemål och självbestämmanderätt samt erbjuder utbildningar och friskvårdsbidrag till våra anställda. IGS Assistans är ett företag som satsar hårt på god kvalité med mångfald och utvecklingsmöjligheter. Ditt jobb är att göra det som kunden själv skulle ha gjort utan sin funktionsnedsättning, utan att ta över de uppgifter som personen själv kan utföra. Utdrag från Polisens belastningsregister måste uppvisas innan anställning. Beställ gärna i samband med att du ansöker då handläggningstid är upp till 14 dagar. https://polisen.se/tjanster-tillstand/belastningsregistret/barn-med-funktionsnedsattning/ Endast personer som är intressanta för en intervju kontaktas, intervjuer sker löpande så ansök snarast. Genom att ansöka samtycker du till att IGS Assistans AB sparar dina personuppgifter under rekryteringsprocessen.

A Snapshot of Your Day Imagine working in a team where your expertise in fluid dynamics and thermal analysis drives innovation in product design and performance. Collaborate with specialists who use advanced computer modeling techniques to solve complex challenges in combustion CFD, aerothermal CFD and heat transfer. Dive into assessing the thermal tolerance of products, ensuring they function reliably under changing thermal conditions. Work with both solid and fluid systems, applying your analytical skills to optimize component performance and support cutting-edge engineering solutions. How You’ll Make an Impact Apply specialized skills in fluid dynamics using computer modeling to analyze and optimize product performance. Conduct thermal analysis and assess heat transfer for products exposed to varying thermal conditions. Evaluate the thermal tolerance of components, ensuring reliable operation in both solid and fluid systems. Collaborate with a team of experts to deliver innovative solutions through advanced simulation techniques. What You Bring Master or PhD degree in CFD, mechanical engineering, aerospace engineering, energy or similar Strong background in fluid dynamics, with experience in turbulence modeling and thermal analysis for both fluid and solid systems. Enjoys problem solving with good analytical skills to solve complex engineering challenges Willingness to learn Ability to work collaboratively within a specialized technical team. Previous experience with gas turbines or combustion systems is an advantage. About the Team Join a dedicated group of engineers in the CFD, Heat transfer and Mechanical integrity team, where specialized skills in fluid dynamics and heat transfer drive product innovation. The team leverages advanced computer modeling techniques to tackle challenges in both solid and fluid systems, ensuring products meet demanding thermal and performance requirements. Our department is highly focused on increasing fuel flexibility, including the use of gaseous and liquid fuels such as hydrogen, ammonia and biofuels. As part of our team of skilled engineers, you will play a crucial role in designing and operating combustion systems that are reliable, robust, and highly efficient. Together, you’ll collaborate on projects that push the boundaries of engineering and deliver reliable solutions for a wide range of applications. Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet. We can offer you employment benefits such as: reduction of working hours, advance vacation, health care allowance and an eventual possibility to a flexible working place. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.  Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.  Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo Our Commitment to Diversity Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion and our combined creative energy is fueled by over 130 nationalities. Siemens Energy celebrates character – no matter what ethnic background, gender, age, religion, identity, or disability. We energize society, all of society, and we do not discriminate based on our differences. Application Don’t hesitate - apply via https://jobs.siemens-energy.com/en_US/jobs, id nr 284047 no later than 2026-08-07. Ongoing selection is applied, the role might be filled before last application date. We refrain from all contact with staffing and recruitment companies, or advertising brokers. Location: Finspång Trade Union Representatives: Unionen, unionen.finspang.se@siemens-energy.com  Sveriges Ingenjörer & SACO, asi.se@siemens-energy.com  Ledarna, Anders Fors, anders.fors@siemens-energy.com  IF Metall, Mikael Malmgren, mikael.malmgren@siemens-energy.com

Department of Aquatic Sciences and Assessment Third-cycle subject area Environmental assessment, specialising in environmental chemistry. Description of the doctoral project     This doctoral project aims to improve the understanding of contaminants of emerging concern in food chains by using bioaccumulation and trophic transfer as a strategy for chemical prioritisation. The project will investigate how contaminants move from environmental sources into organisms and through food chains, and how these processes can be used to identify substances of relevance for ecosystems and One Health. The project will focus on one or more selected food-chain systems, depending on sample availability, collaborations and scientific relevance. The project includes i) selecting relevant food-chain systems, biological matrices and contaminants of emerging concern based on occurrence data, chemical properties, bioaccumulation potential and available samples; ii) applying target, suspect and non-target screening using LC-HRMS to identify known and previously unknown substances in selected biological matrices; iii) assessing bioaccumulation, biomagnification and trophic transfer patterns where suitable data and samples are available; iv) using environmental specimen bank samples, where available, to investigate time trends and support retrospective screening; and v) connecting measured chemical patterns to possible environmental sources. You will work in an international, interdisciplinary team. The project provides access to advanced instrumentation and training in data analysis, scientific communication, and collaborative research. About the position We are seeking a PhD student who will advance the understanding of contaminants of emerging concern in food chains, with a particular focus on bioaccumulation, trophic transfer and advanced chemical screening. To achieve this aim, you will develop and apply analytical workflows for the detection and identification of known and previously unknown compounds in complex biological matrices, including sample preparation, extraction and clean-up strategies. The project will also include semi-quantitative analysis of detected compounds and the assessment of bioaccumulation, biomagnification and trophic transfer patterns in selected food-chain systems. Where suitable samples are available, environmental specimen bank material may be used to investigate time trends and support retrospective screening. The duties also include preparation of biological and environmental samples, extraction and analysis of target and non-target compounds, processing of large HRMS datasets, data analysis, statistical evaluation, interpretation of chemical patterns in relation to environmental sources, collaboration with national and international partners, and scientific manuscript writing in English. Requirements To meet the general entry requirements you must have been awarded a second-cycle (Master’s) qualification, satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second-cycle, or acquired substantially equivalent knowledge in some other way in Sweden or abroad (Higher Education Ordinance 1993:100, Chapter 7, Section 39). Specific entry requirements for the third-cycle courses and study programme in environmental assessment, specialising in environmental chemistry. To meet the specific entry requirements, you must have knowledge of aquatic ecology, aquatic biogeochemistry, statistics or ecotoxicology. The undergraduate degree must include a degree project.  You must also meet the equivalent English language requirements as those necessary for the Swedish upper-secondary qualification Engelska B/6. Your profile Applicants shall hold an MSc in analytical chemistry, environmental chemistry, chemistry, ecotoxicology, environmental science, food science or equivalent. Specialisation in chemical analysis of organic contaminants and experience with LC-MS, LC-HRMS, GC-MS or other advanced mass spectrometry techniques are valuable merits. Experience with suspect and non-target screening workflows is highly desirable. Previous experience with chemical analytical laboratory work, particularly involving complex biological, food, biota, soil or sediment matrices, is advantageous. Knowledge of contaminants of emerging concern, bioaccumulation, biomagnification, trophic transfer or time-trend analysis is considered a merit. Data processing skills using statistical computing, visualisation and data analysis tools (e.g. R, Python or similar) are also considered a merit. Emphasis is also placed on personal characteristics such as strong interpersonal skills, analytical and problem-solving abilities, accuracy, motivation, and the capacity to work independently as well as in collaboration with others. Read more here: https://www.slu.se/en/about-slu/work-at-slu/jobs-and-vacancies/doktorand3/   Form of employment / FundingEmployment as a doctoral student (4-year programme). Doctoral student’s salaries are set following the local collective agreement. Salary progression is fixed. Location:Uppsala Scope:100% Start date:Upon agreement. Application and selection:Please submit your application using the link below. The deadline is 28 August 2026.   The Swedish University of Agricultural Sciences (SLU) has a key role in the development for sustainable life, based on science and education. Through our focus on the interaction between humans, animals and ecosystems and the responsible use of natural resources, we contribute to sustainable societal development and good living conditions on our planet. Our main campuses are located in Alnarp, Umeå and Uppsala, however, the university also operates at research stations, experimental forests and teaching sites throughout Sweden. SLU has around 4,000 employees, 6,000 students and doctoral students and a turnover of over SEK 4,5 billion. We are investing in attractive environments on all of our campuses. We strive to provide a work environment characterised by inclusivity and gender equality, where different experiences generate conversations between people and pave the way for science, creativity and development. Therefore, we welcome applications from people with diverse backgrounds and perspectives.

Department of Aquatic Sciences and Assessment Third-cycle subject area Biology Description of the doctoral project   Antimicrobial resistance (AMR) is one of the most pressing global health challenges of our time. A key driver of AMR spread is the horizontal transfer of antibiotic resistance genes via conjugative plasmids — mobile genetic elements that move between bacteria. Plasmid-dependent phages (PDPs) are viruses that specifically infect bacteria carrying these plasmids, making them a potentially powerful but largely overlooked tool in controlling resistance gene transmission. This PhD project is part of ECOPHARM, a research project funded by the Knut and Alice Wallenberg Foundation (Wallenberg Academy Fellows 2025) and is based at the Department of Aquatic Sciences and Assessment, SLU Uppsala. The overarching aim of ECOPHARM is to decipher the mechanisms driving PDP interactions with conjugative plasmids and bacterial hosts, and to understand their impact on antibiotic resistance gene transmission in aquatic environments. As a PhD student, you will investigate the diversity, ecology, and functional interactions of plasmid-dependent phages in aquatic ecosystems. The work will combine environmental sampling, cultivation-based approaches, metagenomics, genome analysis, and experimental infection assays. You will work in a dynamic and internationally connected research environment at the intersection of microbial ecology, virus-host coevolution, and AMR research. To learn more about our research you can check out our webpage https://www.bionomics-mmlab.com/ About the position The PhD student will be expected to: Design and carry out field sampling of aquatic environments to characterize PDP communities Perform laboratory experiments to study PDP–plasmid–host interactions under controlled conditions Apply metagenomic and bioinformatic tools to analyze microbial and viral community data Contribute to experimental work on phage isolation, cultivation, and infection assays Present findings at lab meetings, national and international conferences, and contribute to scientific publications Adhere to lab policies on data management practices Communicate progress and bottlenecks timely and clearly Collaborate with national and international project partners within the ECOPHARM network Requirements To meet the general entry requirements you must have been awarded a second-cycle (Master's) qualification, satisfied the requirements for courses comprising at least 240 credits of which at least 60 credits were awarded in the second-cycle, or acquired substantially equivalent knowledge in some other way in Sweden or abroad (Higher Education Ordinance 1993:100, Chapter 7, Section 39). Specific entry requirements for the third-cycle courses and study programme in biology. To meet the specific entry requirements, you must have at least 90 HEC in biology-related subjects. This must include a degree project and at least 30 HEC must be at second-cycle level. You must also meet the equivalent English language requirements as those necessary for the Swedish upper-secondary qualification Engelska B/6. Your profile Required: A Master's degree in microbiology, biology, molecular biology, environmental science, or a closely related field Solid background in microbiology or molecular biology Experience with laboratory techniques relevant to microbial or environmental research Proficiency in written and spoken English Highly desirable: Experience with bioinformatics or computational analysis of sequencing data Familiarity with phage biology, plasmid biology, or antimicrobial resistance research Experience with aquatic or environmental sampling Personal qualities we are looking for: High agency — you take initiative, define problems independently, and push work forward engaging your supervisor Collaborative mindset — you contribute actively to a team environment and support those around you Clear communicator — you can convey complex ideas in writing and in person, to both specialist and non-specialist audiences Curiosity, rigor, and resilience in the face of scientific uncertainty About us The Department of Aquatic Sciences and Assessment is working with applied environmental science, with a national responsibility for assessing the condition of Swedish surface waters with respect to water chemistry, pollution and aquatic biota. The research focuses on geochemical and hydrological processes, aquatic ecology and biodiversity, microbial ecology as well as on environmental chemistry and aquatic ecotoxicology. The department has about 150 employees, of which approximately half are researchers/doctoral students and the other half are technical and administrative staff. For more information about the department visit: http://www.slu.se/aquatic-sciences Read more about staff benefits and life as an SLU employee on https://www.slu.se/om-slu/jobba-pa-slu/ Read more about third-cycle courses and study programmes on http://www.slu.se/utbildning/program-kurser/forskarutbildning/ Form of employment / Funding Employment as a doctoral student (4-year programme) Doctoral student's salaries are set following the local collective agreement. Salary progression is fixed. Location: Uppsala Scope: 100% Start date: 1st of October 2026 Application and selection: Please submit your application using the link below. The deadline is 30th of August 2026. Your application should include: A one-page reflection including (1) why you plan to pursue a PhD education (2) why specifically you think our group is a good target for you and (3) why this project interests you Send 2 publications related to the topic of "plasmid dependent phages" that you find most interesting All application documents should be prepared in English Read more about the other attachments that your application should include at https://www.slu.se/en/study/programmes-courses/doctoral-education/how-can-i-become-a-doctoral-student/application/ Selection among eligible applicants is based on the documents attached to the application, and is carried out with regard to the applicant's ability to complete the programme within the allotted time. Academic union representatives: https://internt.slu.se/en/my-employment/employee-associations/kontaktpersoner-vid-rekrytering/

What you'll do You will drive the evolution of CERN's Service Management platform, currently based on ServiceNow, in line with business needs and developments from the platform provider. Learn more: https://osi-dep.web.cern.ch/sms/ Your responsibilities Identify and present relevant technical solutions (e.g. AI based automation) by following new releases and announcements from the PaaS service provider (ServiceNow). Regularly interact with business process experts to capture business needs. Prepare and maintain a functional platform development plan in collaboration with our providers, business and the lead developer, participate to prototype building. Assist and replace when needed the platform lead developer in coordinating development effort. Participate to the control and support of development activities, ensuring maximum optimisation, health and compliance with the PaaS platform, security and service management industry best practices. Your profile Extensive experience in the configuration and development of a comprehensive Service Management platform, preferably ServiceNow. Demonstrated experience in architecting in PaaS platforms. Knowledge of programming techniques and languages: extensive knowledge of scripting languages, web services, software development processes and techniques together with life-cycle management concepts. Experience with database and security architectures. Knowledge of Service Management methodologies, such as the ITIL framework would be an asset. Master's degree or equivalent relevant experience in the field of Computing or a related field. ITIL certificate is an advantage. Your skills Architecture and design of ICT systems: based on capturing and analysis of requirements. Re-use, refactoring, integration and porting of existing software: : understanding the principles of incremental and logical integration of components in order to create operational services. Identification and selection of relevant emerging ICT technologies. Development of application software. Shares knowledge and expertise freely and willingly with others; coaches others to ensure knowledge transfer. Delivers presentations in a structured and clear way; adjusts style and content to the audience; responds calmly and confidently to questions. Builds and maintains constructive and effective work relationships. Promotes synergy and cooperation between the various parts of the Organization. Spoken and written English, with a commitment to learn French. Be sure to meet the eligibility criteria You are a national of a CERN Member State or Associate Member State. Currently, we cannot consider applications from Pakistani and Lithuanian nationals for positions with a 2026 start date, as the ceiling defined under Article II.5 of the Associate Membership Agreement has been reached. You have relevant qualifications and professional experience. If you have previously held a Staff contract at CERN, you will not be eligible for these positions. Please pay attention to the additional criteria and requirements for this specific position and mentioned above. You will need these documents to complete your application Your CV (English or French) Any document you consider relevant to your application

Job Scope High level purpose of function. A Vision Automation Engineer in a cell manufacturing company plays a key role in developing, optimizing, reverse-engineering, and maintaining machine vision and optical inspection systems to ensure safe, reliable, and efficient operations. They are responsible for programming, troubleshooting, and improving cameras, lighting configurations, and image processing algorithms, supporting both legacy production line re-commissioning and new vision system installations. The role also includes ensuring accurate data transfer, system connectivity, and smooth communication with PLCs, SCADA, and upper-level MES platforms to enable inline defect traceability, dimensional inspection, and digital integration. Close collaboration with production, engineering, and maintenance teams is required to identify and implement solutions that improve quality, throughput, and equipment uptime. A strong focus is placed on continuous improvement, safety, and scalability to meet the growing demand for electric vehicle battery production. Key Responsibilities Overall areas of responsibilities and activities Key responsibilities include (but are not limited to) Participate in HAZOP sessions and ensure compliance with process safety, operational safety, and environmental standards relating to equipment control and programming. Responsible for the FATs of the equipment (Project timeline dependent). Lead vision system integration and optical calibration during equipment commissioning and line re-starts (Project timeline dependent). Develop and reverse-engineer the vision inspection systems to be implemented in the production and logistics equipment in the factory, as well as the relevant specifications and documentation. Author and review engineering design documentation (Specifications, Functional design, Logic diagrams, Test Cases, Test Records). Train and mentor new engineers, and educate other support functions on machine vision, optics, and quality inspection gates. Code review and test of suppliers' vision software and algorithmic work within the projects to validate specified defect detection thresholds (Gauge R&R) and to ensure the quality and reliability of the data transferred from the equipment to the upper-level systems. Participate in R&D activities for piloting of new technologies and their suitability to production environments. Define and improve the factory blueprint, general specifications and ways of working in collaboration with the extended automation and digitalization teams. (Project timeline dependent). Contribute to technical improvements, development and optimization of software processes internally in the automation team The role requires regular presence on the production floor, with a minimum of approximately 25% of working hours spent on-site. Depending on project needs (such as line re-commissioning), there may be periods where up to 100% of working hours are required on the shop floor. Develop and maintain machine vision and image processing programming standards. Guide and mentor colleagues to industrial best practices, focussing on growth and development. Complete supplementary tasks as seen fit by management to effectively utilize time and resource for the benefit of the business. Requirements Educational background and previous experience required for the role Qualifications and Experience Bachelors Degree in Electronics, Mechatronics, Electrical, Automation, Robotics, Software Engineering or similar. Minimum of 3 years of relevant work experience within Industrial Automation in process-driven or discrete manufacturing industries such as: Battery Cell, Automotive, Chemical, Paper, Semiconductors, Pharma, Food, Warehouses, etc. Experience of working with industrial camera systems, optical components, and lighting techniques, including the selection, configuration, and calibration of camera hardware for manufacturing inspection and process control applications Experience in the design, configuration, and deployment of machine vision systems including cameras, lighting, and vision software platforms such as Cognex, Halcon, or equivalent, with experience integrating vision outputs into PLC, SCADA, and MES environments via OPC connectivity. Experience developing and optimising image processing pipelines and vision algorithms for applications such as defect detection, pattern recognition, and dimensional verification, with familiarity with industrial communication protocols for vision system integration. Experience in writing technical documentation including inspection requirement specifications, algorithm validation reports, vision system configuration records, functional design, UML, test cases, and test records. Experience with image processing software and programming tools relevant to industrial vision applications, such as Python, C++, OpenCV, or equivalent vision libraries, with the ability to develop, test, and optimise vision algorithms for real-time manufacturing environments Experienced continuous improvement and root cause analysis. Specific skills Strong knowledge of mechanical, electrical, hydraulic, and pneumatic systems. Knowledge of cybersecurity best practices for manufacturing systems. Troubleshooting skills with diagnostic equipment. Ability to document technical problems concisely. Excellent English skills, both written and oral, are essential. Basic Swedish and other language skills are a plus. You should have good communication skills and be able to work in close collaboration with colleagues from many different teams. Ability to work within varying environments including clean-rooms and dry-rooms, while wearing appropriate PPE. Comfortable operating in high-profile, international, and high-pressure environments. A genuine technical interest and passion about working within production is highly valued.

YOUR MISSION AT VOI As a Machine Learning Engineer Intern at Voi, you will play a key role in designing and building machine learning models for our edge ML product. You will work across both software engineering and machine learning challenges, contribute to our product rollout, and help enhance the safety and real-world performance of our vehicles. You will join a high-impact product team, see your work deployed on Voi vehicles worldwide, and learn how to build ML products end-to-end. Please note this role is for 50% (Part-Time). In this role, you will: * Help build a cutting-edge machine learning product and see your models deployed on Voi vehicles across multiple markets. * Build an ML solution end-to-end, from dataset creation and PoC model development to edge ML optimisation, deployment and impact measurement. * Support production-grade models with a focus on reliability, scalability, and high performance. * Collaborate with a world-class, cross-functional product team, aligning on priorities and outcomes while learning from and supporting your teammates. WHAT YOU NEED TO EMBARK You are a curious, hands-on and analytical problem-solver with a strong interest in applied machine learning. You enjoy working with real-world data, building models that ship to production, and collaborating with others to create solutions that make a tangible impact. We believe you have: * Current enrolment in an MSc in Computer Science, Machine Learning, Robotics or a related field, with around one year or less remaining in your studies. * Strong Python programming skills and experience with Git; experience deploying machine learning models or backend code in production is a plus. * Solid understanding of common machine learning techniques such as convolutional neural networks, transfer learning and object detection, and hands-on experience with frameworks such as PyTorch, TensorFlow or scikit-learn. * Fluency in written and spoken English, and a proactive communication style in a cross-functional team environment. Don’t meet every requirement? If you are excited about this role and our mission, and have relevant, transferable skills, we encourage you to apply – even if you don’t check every box. WHY VOI? Working at Voi is more than just a job; our People Promise includes a personal voyage where you will grow as a professional and be a part of a team and culture that builds something meaningful for society. In addition to this you’ll have the opportunity to: * Join Europe’s #1 micromobility operator and one of the fastest growing scale-ups. * Get “skin in the game” through our employee options programme. * Enjoy unlimited free Voi rides and a dog-friendly office. * Work together with inspiring, motivated and fun colleagues towards a common goal. * Join the micromobility revolution and be a part of creating sustainable cities made for living, free from noise and pollution. If you are eager to apply your machine learning skills to real-world problems and shape the future of micromobility, we’d love to hear from you.

Are you a recent graduate with a passion for robotics, software testing, and emerging technologies? We’re looking for a motivated and curious Graduate Verification & Validation Engineer to join our growing robotics team. This is an exciting opportunity to work hands-on with cutting-edge robotic systems, helping ensure our software and hardware perform reliably in real-world environments. You’ll collaborate with engineers across software, autonomy, and robotics teams while building valuable experience in testing, validation, and product development. If you’re excited about robotics and want to kick-start your engineering career in a highly collaborative environment, we’d love to hear from you. This role will require you to be onsite in Wallingford, Oxfordshire 5 days per week. What You’ll Be Doing As part of our Verification & Validation team, you will: * Support the testing and validation of software used across our fleet of robots * Help develop and improve testing procedures for both hardware and software systems * Capture, analyse, and benchmark test data to measure robot performance * Use AI-powered tools and prompting techniques to extract insights and metrics from test results * Create clear and standardised testing processes for areas such as autonomy, data capture, and platform functionality * Assist with validating and approving software releases before deployment to production * Work with cross-functional engineering teams to improve software release workflows and version control processes * Support regular software release cycles and testing schedules * Help assess new features, verify bug fixes, and contribute to continuous product improvement What We’re Looking For * A Bachelor’s degree in Engineering, Robotics, Computer Science, or a related field * An interest in software testing, hardware validation, or quality assurance * Familiarity with robotics, autonomy systems, or data capture technologies is beneficial * Exposure to testing tools, automation, or scripting is a plus * Strong problem-solving, communication, and teamwork skills * A proactive attitude and eagerness to learn in a fast-paced technical environment Why Join Us? * Work with innovative robotics technology and real-world autonomous systems * Gain hands-on experience across software, hardware, and testing disciplines * Collaborate with experienced engineers in a supportive environment * Develop valuable industry skills in robotics validation and quality engineering * Be part of a team building the next generation of intelligent robotic platforms   Benefits Starting from the interview process and continuing into your career with us, you will be working by our four Operating Principles: * Performance: High standards, outstanding results, * Impact: Big challenges, bigger results * Commitment: All in, every time * One team: One mission, shared success Joining our team and company isn't just about expertise; it's about embracing uncertainty with ambition. We're crafting world-changing solutions, fueled by a passion to redefine what's possible. We will look for you to help create and shape the future of logistics solutions through our products, our culture and our shared vision.  You will also receive: * Private healthcare via Bupa with 24/7 medical helpline  * Life insurance * Income protection  * Pension: 4+% employee with option to opt into salary exchange, 5% employer * Employee Assistance Programme - mental wellbeing, financial and legal advice/support  * 25 holidays per year  * Full meals onsite in Wallingford * Fun team events on and offsite, snacks of all kinds in the office    AAP/EEO Statement   Dexory provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training Please note: We are unable to provide sponsorship or relocation for this role. Start date will be September 2026.

We want to create a different kind of banking and shopping experience. Northmill was founded in 2006 and the main office is in Stockholm and Engineering Center site located in Poland. Grab this opportunity to be a part of us and our journey! The scope of your role: As a Senior Applied AI Analyst, you will work across business departments and product engineering teams to discover, analyse and validate high-value opportunities for process automation. This role combines business and process analysis with hands-on AI prototyping and a solid understanding of software engineering. You will work directly with process owners and operational teams to understand how work is performed today, identify bottlenecks and repetitive activities, assess the potential value of improvements, and turn the most promising opportunities into testable AI-enabled solutions. You will actively search for opportunities rather than wait for predefined requirements. Once an idea is validated, you will work with Product Engineers and the AI Platform team to shape the production approach and transfer ownership to the relevant product team. You will be responsible for: Working with process owners and business teams to understand and map existing processes Identifying bottlenecks, manual work and opportunities for AI-assisted or automated workflows Translating business problems into clear use cases, requirements and testable hypotheses Assessing business value, feasibility, data readiness, operational risk and required controls Building and validating lightweight prototypes, independently or together with engineering teams Defining success metrics, acceptance criteria and evaluation scenarios Recommending whether a process should be assisted, partially automated or fully automated Supporting Product Engineers in moving validated solutions toward production Embedding with product teams when needed to support implementation, adoption and knowledge transfer Sharing reusable patterns and providing feedback to the AI Platform Team You will work with: Amazon Bedrock, Amazon Quick and other foundation-model platforms Agentic workflows and tool-based integrations Company data, documents and internal systems REST APIs and event-driven integrations .NET, C# and TypeScript Modern AI development and prototyping tools such as Claude Code, Cursor and GitHub Copilot Required qualifications: 5+ years of commercial experience in software engineering, business analysis, process automation, AI engineering or a related role Strong ability to analyse, map and improve business processes Experience working directly with process owners, operational teams and business stakeholders Ability to turn unclear business problems into structured use cases, requirements and experiments Hands-on experience building or contributing to AI-enabled prototypes or automation workflows Strong product mindset and focus on measurable business outcomes Solid understanding of software engineering, APIs and system integrations Understanding of AI security, privacy and operational risks Preferred qualifications: Experience with Amazon Bedrock, Amazon Quick or similar services Experience with process mining, workflow engines or business-process redesign Experience with agent tools, MCP or AI-enabled integrations Experience with document extraction, classification or knowledge-based AI solutions Experience supporting a solution from discovery through production handover Experience in banking, fintech or another regulated industry About you? You’re a creative and curious person with a genuine passion for software development. Like us, you love learning, staying up to date with the latest tech trends, and writing clean, high-quality code. You’re comfortable sharing your thoughts, raising problems early, and contributing to thoughtful solutions. You thrive in a team environment and have experience working in an Agile setup. As we’re a multicultural team, strong proficiency in English is required. Fluency in Swedish will be a great asset. We offer: A fantastic office in a prime Stockholm location with great spaces and views. An independent role with the opportunity to make a real impact. Great opportunities for professional development. Support for sporting activities (a SEK 5,000 wellness allowance). Life insurance. Breakfast and fruit in the office every day, plus a Friday afternoon coffee break. Regular after-work get-togethers on Fridays and celebrations of successes in the office. About Northmill Bank A Swedish bank with the heart in the technique. 2.500 merchants. 600.000 end users. over 300 employees in 3 different countries, including Engineering Center hiring c.a. 90 experienced engineers. The goal? To improve financial life by being digital, yet personal. Apply today and be a part of Northmill!