Shaoxiong Ji

University of Turku and ELLIS Institute Finland are recruiting for two research openings in foundation health models and medical reasoning : a Doctoral Researcher and a Postdoctoral Researcher . The project is part of FINe-Health Foundry and focuses on training health foundation models using Finland’s nationwide health databases, structured longitudinal electronic health records, and clinical data. The research themes include pretraining foundation health models , medical reasoning and grounding , and agentic methods for virtual labs . The postdoctoral role also mentions advanced alignment methods such as RLHF , DPO , and GRPO . This is a strong fit for candidates interested in computer science , medical science , artificial intelligence , natural language processing , deep learning , and multimodal clinical data . Eligibility highlights: the doctoral position requires an MSc in Computer Science, Data Science, Machine Learning, or a closely related quantitative field, plus strong AI foundations, programming skills, and good English. The postdoctoral position requires a PhD in Machine Learning, NLP, Computer Science, or a related field, along with a strong publication record and experience training large language models or working with multimodal clinical data. Funding and conditions: both positions are full-time and come with a competitive salary under the University of Turku salary system, plus standard pension and social security benefits. The postdoctoral appointment is initially for 2 years; the doctoral appointment runs until 30 September 2029 with possible extension. The post highlights access to Roihu, Triton, and the LUMI supercomputer, and notes the collaborative research environment at University of Turku and ELLIS Institute Finland. Deadline: 17 August 2026 at 16:00 Helsinki time. How to apply: submit your application through the official university portal linked in the post. For informal enquiries, contact Shaoxiong Ji at [email protected] with the subject line [FINe-Health Application] Postdoc/PhD - <Your Name> . Prepare a cover letter and a detailed CV including publications or relevant projects.

The Department of Computing at the University of Turku and ELLIS Institute Finland are recruiting for two research positions in foundation health models and medical reasoning : a Doctoral Researcher and a Postdoctoral Researcher . The project, FINe-Health Foundry, focuses on training and aligning clinical foundation models using Finland’s nationwide health databases and structured longitudinal electronic health records. Research themes include: pretraining foundation health models, medical reasoning and grounding, and agentic methods for virtual labs. The doctoral role is aimed at candidates interested in building training pipelines and working on medical AI, NLP, and clinical data analysis. The postdoctoral role is for researchers with experience in large language models, multimodal clinical data, and alignment methods such as RLHF, DPO, and GRPO. The positions are hosted by the University of Turku (Faculty of Technology, Department of Computing) in collaboration with ELLIS Institute Finland, with work based in Espoo or Turku, Finland. Applicants will have access to local clusters (Roihu and Triton) and the LUMI Supercomputer. The post highlights a collaborative research environment, strong work-life balance, and competitive salary with standard pension and social security benefits. Eligibility highlights: Doctoral applicants should hold an MSc in Computer Science, Data Science, Machine Learning, or a closely related quantitative field, with strong programming and deep learning skills. Postdoctoral applicants should hold a PhD in Machine Learning, NLP, Computer Science, or a related field, with a strong publication record and experience training large language models or handling multimodal clinical data. Deadline: 2026-08-17 at 16:00 Helsinki time. How to apply: Submit your application through the official university portal linked in the post. For questions, contact Dr. Shaoxiong Ji at [email protected] and include the subject line specified in the announcement. Prepare a cover letter and CV with publications or relevant projects.