{"data":{"id":184445,"slug":"forskningsingenjor-inom-medicinsk-bildanalys-och-maskin-inlarning","type":"job","title":"Research Engineer in Medical Image Analysis and Machine Learning","description":"Fysikum is one of the largest departments within the Faculty of Science at Stockholm University, featuring a dynamic and international research environment. This position is located at the Division of Medical Radiation Physics, where we conduct leading research in medical image processing, radiation physics, and artificial intelligence for oncological applications. More information about us can be found at: Fysikum - Stockholm University.\n\nJob Responsibilities\nThe Research Engineer will architect, further develop, and maintain a high-performance, container-based computing platform dedicated to medical data analysis and artificial intelligence workflows. In this role, you will design and deploy scalable MLOps pipelines for automated model training, experiment tracking, and clinical inference, as well as manage Kubernetes cluster orchestration, distributed storage systems, and GPU resource allocation in multi-tenant environments. Key technical responsibilities include integrating healthcare data infrastructure such as DICOM servers, PACS interfaces, and web-based visualization tools, as well as developing active learning pipelines and interactive annotation interfaces for human-in-the-loop validation. The engineer will also build secure RESTful APIs and microservices in the backend, implement identity and access management (IAM) protocols in accordance with healthcare data protection standards, and maintain automated CI\/CD pipelines for testing and deployment to ensure platform reliability and robustness.\n\nAt the intersection of computational technology and healthcare, the engineer will work in close collaboration with data scientists, biomedical engineers, and clinicians. The role involves translating complex clinical needs and research requirements into robust software specifications, which directly enables deployment and prospective evaluation of cutting-edge AI models in clinical workflows. Additionally, the engineer will monitor cluster performance, optimize computational loads, and provide practical technical support and training for researchers and clinical users.\n\nQualifications\nCandidates must have an advanced degree (Master's or equivalent engineering degree) in computer science, software engineering, or a related quantitative field. Essential qualifications include very strong knowledge of Linux environments and Python programming, documented practical experience with container management and orchestration using Docker and Kubernetes, backend and API development (RESTful services and database integration), and established software development workflows with Git. Excellent communication skills in English, both spoken and written, as well as a strong ability to collaborate effectively in an interdisciplinary environment with engineers and clinicians, are required.\n\nDesirable qualifications include practical experience with electronic health record (EHR) systems, medical imaging standards (DICOM, NIfTI), and image servers and visualization tools (Orthanc, PACS, 3D Slicer). It is also advantageous to have familiarity with medical AI and MLOps frameworks (PyTorch, MONAI, MLflow, Kubeflow), experience with CI\/CD and GitOps tools (ArgoCD, Ansible), and knowledge of security and authentication protocols (Keycloak, OIDC) for handling sensitive health data.\n\nAbout the Position\nThis is a full-time position of fixed duration for 5 months, with the possibility of extension (up to a total of 7\u20138 months depending on project funding). Stockholm University applies individual salary determination. Start date as soon as agreed upon.\n\nWhat We Offer\nWith us, you will experience the dynamic interplay between higher education and research that makes Stockholm University an exciting and creative environment. You will work in an international setting and receive favorable conditions. The university is located in the National City Park with good connections to the city center.\n\nStockholm University is committed to being a workplace free from discrimination that provides equal rights and opportunities for all.\n\nContact\nAdditional information is provided by University Lecturer Mehdi Astaraki, phone 08-5537 8618, mehdi.astaraki@fysik.su.se.\n\nApplication\nYou apply for the position through Stockholm University's recruitment system. As an applicant, you are responsible for ensuring that your application is complete and submitted to the university by the final application deadline.\n\nInstructions for applicants can be found on the website: How to apply for a position.\n\nStockholm University contributes to the development of a sustainable democratic society through knowledge, enlightenment, and the pursuit of truth.\n\nOpen to All\nWe focus on your competence, not your other circumstances. We are open to adapting the role or workplace according to your needs.","language":"sv","is_translated":true,"title_original":"Forskningsingenj\u00f6r inom medicinsk bildanalys och maskin inl\u00e4rning","description_original":"Fysikum \u00e4r en av de st\u00f6rsta institutionerna inom den Naturvetenskapliga fakulteten vid Stockholms universitet med en dynamisk och internationell forskningsmilj\u00f6. Denna anst\u00e4llning \u00e4r placerad vid Avdelningen f\u00f6r medicinsk str\u00e5lningsfysik, d\u00e4r vi bedriver ledande forskning inom medicinsk bildbehandling, str\u00e5lningsfysik och artificiell intelligens f\u00f6r onkologiska till\u00e4mpningar. Mer information om oss finns p\u00e5: \u00a0Fysikum - Stockholms universitet .\nArbetsuppgifter\nForskningsingenj\u00f6ren kommer att arkitektera, vidareutveckla och f\u00f6rvalta en h\u00f6gpresterande, containerbaserad ber\u00e4kningsplattform dedikerad till medicinsk dataanalys och arbetsfl\u00f6den inom artificiell intelligens. I denna roll ing\u00e5r att designa och drifts\u00e4tta skalbara MLOps-pipelines f\u00f6r automatiserad modelltr\u00e4ning, experimentsp\u00e5rning och klinisk inferens, samt att hantera orkestrering av Kubernetes-kluster, distribuerade lagringssystem och resursallokering av GPU:er i milj\u00f6er med flera samtidiga anv\u00e4ndare (multi-tenant). Centrala tekniska ansvarsomr\u00e5den innefattar integrering av infrastruktur f\u00f6r h\u00e4lsodata, s\u00e5som DICOM-servrar, PACS-gr\u00e4nssnitt och webbaserade visualiseringsverktyg, samt utveckling av pipelines f\u00f6r aktiv inl\u00e4rning (active learning) och interaktiva annoteringsgr\u00e4nssnitt f\u00f6r validering med m\u00e4nniskan i loopen (human-in-the-loop). Ingenj\u00f6ren kommer \u00e4ven att bygga s\u00e4kra RESTful API:er och mikrotj\u00e4nster i backend, implementera protokoll f\u00f6r identitets- och beh\u00f6righetshantering (IAM) i enlighet med dataskyddsstandarder inom h\u00e4lso- och sjukv\u00e5rden, samt uppr\u00e4tth\u00e5lla automatiserade CI\/CD-pipelines f\u00f6r testning och drifts\u00e4ttning f\u00f6r att s\u00e4kerst\u00e4lla plattformens drifts\u00e4kerhet och robusthet.\nI sk\u00e4rningspunkten mellan ber\u00e4kningsteknik och h\u00e4lso- och sjukv\u00e5rd kommer ingenj\u00f6ren att arbeta i n\u00e4ra samverkan med datavetare, medicintekniska ingenj\u00f6rer och kliniker. Rollen inneb\u00e4r att oms\u00e4tta komplexa kliniska behov och forskningskrav till robusta mjukvaruspecifikationer, vilket direkt m\u00f6jligg\u00f6r drifts\u00e4ttning och prospektiv utv\u00e4rdering av banbrytande AI-modeller i kliniska arbetsfl\u00f6den. D\u00e4rut\u00f6ver kommer ingenj\u00f6ren att \u00f6vervaka klusterprestanda, optimera ber\u00e4kningsbelastningar samt tillhandah\u00e5lla praktisk teknisk support och introduktion f\u00f6r forskare och kliniska anv\u00e4ndare.\nKvalifikationer\nKandidaten ska ha en examen p\u00e5 avancerad niv\u00e5 (master- eller civilingenj\u00f6rsexamen) inom datavetenskap, mjukvaruteknik eller ett n\u00e4rliggande kvantitativt \u00e4mnesomr\u00e5de. Grundl\u00e4ggande beh\u00f6righetskrav \u00e4r mycket goda kunskaper i Linux-milj\u00f6er och programmering i Python, dokumenterad praktisk erfarenhet av containerhantering och orkestrering med Docker och Kubernetes, backend- och API-utveckling (RESTful-tj\u00e4nster samt databasintegrering) och vedertagna arbetsfl\u00f6den f\u00f6r mjukvaruutveckling med Git. Mycket god kommunikationsf\u00f6rm\u00e5ga p\u00e5 engelska i b\u00e5de tal och skrift samt god f\u00f6rm\u00e5ga att samarbeta effektivt i en tv\u00e4rvetenskaplig milj\u00f6 tillsammans med ingenj\u00f6rer och kliniker \u00e4r ett krav.\nMeriterande kvalifikationer innefattar praktisk erfarenhet av elektroniska patientjournalsystem (EHR), standarder f\u00f6r medicinsk bildhantering (DICOM, NIfTI) samt bildservrar och visualiseringsverktyg (Orthanc, PACS, 3D Slicer). Det \u00e4r \u00e4ven meriterande med f\u00f6rtrogenhet med ramverk f\u00f6r medicinsk AI och MLOps-pipelines (PyTorch, MONAI, MLflow, Kubeflow), erfarenhet av CI\/CD- och GitOps-verktyg (ArgoCD, Ansible) samt kunskap om s\u00e4kerhets- och autentiseringsprotokoll (Keycloak, OIDC) f\u00f6r hantering av k\u00e4nsliga h\u00e4lsodata.\nOm anst\u00e4llningen\nAnst\u00e4llningen avser heltid och \u00e4r tidsbegr\u00e4nsad p\u00e5 5 m\u00e5nader, med m\u00f6jlighet till f\u00f6rl\u00e4ngning (upp till totalt 7\u20138 m\u00e5nader beroende p\u00e5 projektfinansiering). Stockholms universitet till\u00e4mpar individuell l\u00f6nes\u00e4ttning. Tilltr\u00e4de snarast enligt \u00f6verenskommelse.\nVi erbjuder\nHos oss f\u00e5r du dynamiken i samspelet mellan h\u00f6gre utbildning och forskning som g\u00f6r Stockholms universitet till en sp\u00e4nnande och kreativ milj\u00f6. Du arbetar i en internationell milj\u00f6 och f\u00e5r f\u00f6rm\u00e5nliga villkor. Universitetet ligger bel\u00e4get i Nationalstadsparken med goda f\u00f6rbindelser till city.\nStockholms universitet v\u00e4rnar om att vara en arbetsplats som \u00e4r fri fr\u00e5n diskriminering och ger lika r\u00e4ttigheter och m\u00f6jligheter f\u00f6r alla.\nKontakt\nYtterligare information l\u00e4mnas av universitetslektor Mehdi Astaraki, tfn 08-5537 8618, mehdi.astaraki@fysik.su.se.\nAns\u00f6kan\nDu s\u00f6ker anst\u00e4llningen via Stockholms universitets rekryteringssystem. Du som s\u00f6kande ansvarar f\u00f6r att ans\u00f6kan \u00e4r komplett och att den \u00e4r universitetet tillhanda senast sista ans\u00f6kningsdag.\nAnvisningar f\u00f6r s\u00f6kande finns p\u00e5 webbsidan: att s\u00f6ka en anst\u00e4llning.\nStockholms universitet bidrar till det h\u00e5llbara demokratiska samh\u00e4llets utveckling genom kunskap, upplysning och sanningss\u00f6kande.\n\n\u00d6ppen f\u00f6r alla\nVi fokuserar p\u00e5 din kompetens, inte dina \u00f6vriga f\u00f6ruts\u00e4ttningar. Vi \u00e4r \u00f6ppna f\u00f6r att anpassa rollen eller arbetsplatsen efter dina behov.","price":null,"currency":"SEK","status":"active","noindex":true,"location":{"address":"Fysikum","full_address":null,"city":"Stockholm","country":"SE","latitude":59.2877928,"longitude":18.0528391},"metadata":{"region":"Stockholms l\u00e4n","duration":"3 m\u00e5nader \u2013 upp till 6 m\u00e5nader","employer":"Stockholms Universitet","postcode":"10691","positions":1,"profession":"Standardiseringsingenj\u00f6r","salary_type":"Fast m\u00e5nads- vecko- eller timl\u00f6n","employer_url":"https:\/\/www.su.se\/","scope_of_work":"100\u2013100 %","working_hours":"Heltid","contact_person":"Saco-S Saco-S","employment_type":"full_time","occupation_field":"Yrken med teknisk inriktning","employer_workplace":"Fysikum","experience_required":true,"employment_type_label":"Vanlig anst\u00e4llning"},"user_id":null,"is_sponsored":false,"views_count":4,"ai_views_count":6,"bot_views_count":2,"ai_vendor_counts":{"meta":3,"other":2,"anthropic":1},"visibility":"public","submission_source":null,"submission_ai_name":null,"has_owner_email":true,"can_contact_owner":true,"phone":"08162000","owner_email":"saco@saco.su.se","images":[],"published_at":"2026-09-02T17:25:58+00:00","expires_at":"2026-10-04T23:59:59+00:00","created_at":"2026-09-03T03:18:29+00:00","updated_at":"2026-09-19T02:50:23+00:00"}}