Arto Klami

This joint position brings together the Faculty of Science, the Finnish Institute for Molecular Medicine Finland (FIMM) at HiLIFE, and the University of Helsinki for research at the intersection of artificial intelligence, population health, and genomics. The appointed researcher will develop an independent research program within the Sustainable Wellbeing Across Lifespan (SWAN) research action, which aims to promote health span by identifying individual risks and susceptibilities, clarifying mechanisms of degeneration across the lifespan, and exploring new ways to detect, monitor, and treat remodeled metabolism associated with ageing. The role is centered on methodological innovation and the application of modern AI approaches to large-scale biomedical data. Potential research directions include foundation models for longitudinal electronic health records and genomics, multimodal learning that integrates health records with molecular data, causal representation learning, in-context learning, amortized inference for healthcare decision-making, and AI-assisted scientific discovery workflows. The researcher will work in close collaboration with the Ganna Lab at FIMM and the Probabilistic Machine Learning Lab at the Department of Computer Science, including groups led by Acerbi and Klami. The position also aligns with concurrent projects developing foundation models for healthcare and offers scope to contribute to activities within the ELLIS Institute Finland. Researchers in this environment have access to exceptionally rich data and computing resources, including nationwide longitudinal health records from Finland, FinnGen genomic data, extensive multi-omics datasets, and world-class computing infrastructure through CSC and LUMI. The position is split between the Faculty of Science and FIMM, creating a collaborative setting that connects AI methodology with biomedical research at scale.

Arto Klami at the University of Helsinki and ELLIS Institute Finland is recruiting two postdocs and one PhD student for research at the intersection of computer science , statistics , and medical science . One postdoc project focuses on prior elicitation and specification , with the goal of quantifying human and LLM knowledge in probabilistic terms and using that information to build better models. A second opportunity is tied to the FINe-Health Foundry consortium and centers on AI-assisted decision-making for healthcare . This project develops a nation-wide foundation model grounded on electronic health records and studies how experts can best use such models in concrete decision-making tasks. The post is especially relevant for candidates interested in machine learning , large language models , probabilistic modeling , foundation models , and healthcare decision support . The announcement explicitly mentions both postdoctoral and doctoral openings. Applications are submitted through the joint ELLIS Institute Finland Call . The deadline is September 21, 2026 . Interested applicants should review the detailed position information and apply via the linked call page.