Fully funded PhD – Generative Foundation Models for ICU data (ERC Starting Grant, Innsbruck, Austria)

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Patrick Rockenschaub

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Jan 9, 2026, 5:17:02 AMJan 9
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Hi all,

We’re recruiting a fully funded PhD student to work on generative foundation models for ICU event data in the ERC Starting Grant project GPT-MEDIC at the Medical University of Innsbruck.

Topic
ICU data are irregular, continuous, and shaped by clinical decision-making—making cross-hospital generalisation hard. This PhD will develop generative pre-training methods for clinical event streams with the goal of enabling models that transfer across settings and support many downstream prediction tasks.

Data & collaboration
You’ll have access to a large multicentre ICU resource (~1M patients, ~33B clinical events; ~half available from day one) and collaborate closely with clinical/data experts at Amsterdam UMC, UCL, and University of Cambridge.

Requirements

  • MSc in CS/stats/related quantitative field

  • Strong Python; experience with PyTorch / TensorFlow / JAX

  • Evidence of completing technical work (thesis/publication/GitHub)

  • Clinical data experience helpful but not required

Practicalities

  • Start: as soon as possible (flexible)

  • Duration: 3–4 years

  • Location: Innsbruck, Austria (English working language; German not required; relocation expected)

What’s offered

  • Fully funded position

  • Salary: €39k gross/year (30h/week; per university agreement)

  • Access to a modern GPU cluster

  • Conference travel + active publication support

Apply (deadline 25 Jan 2026)
Details on how to apply can be found at https://euraxess.ec.europa.eu/jobs/397624 

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