Hello all,
We are looking for PhD candidates to develop generative AI models for complex trait genomics. The position is part of a 5-year project, “An interpretable framework for complex trait genomics using deep generative models,” funded by the Estonian Research Council. The PhD candidate will be supervised by Dr. Burak Yelmen (University of Tartu, Institute of Genomics) and Dr. Flora Jay (Paris-Saclay University, CNRS, Inria, LISN). Ideal candidates should at least have:
- A basic understanding of statistics and/or machine learning theory
- Coding/scripting experience, preferably in Python
- MSc in computer science, machine learning, statistics, bioinformatics, computational biology or a related field
Background and experience with omics data is useful but not required.
Location and resourcesThe PhD candidate will be based at the University of Tartu, Institute of Genomics (starting from September 2026, regular duration for PhD studies is 4 years), with opportunities to visit Paris-Saclay University. The Estonian Biobank, hosted at the Institute of Genomics, is among the most comprehensive biobanks worldwide and includes genetic data linked to electronic health records for more than 200,000 participants (approximately 20% of Estonia’s adult population). More information about the institute and the biobank is available at
https://genomics.ut.ee/en. Details about the university’s high-performance computing (HPC) resources can be found at
https://hpc.ut.ee.
Tartu is Estonia’s second-largest city and home to the University of Tartu, the country’s oldest and largest university. General information about the city is available at
https://tartu.ee/en.
How to applyInterested candidates can email
burak....@ut.ee with:
- A CV
- A short motivation letter
- Names and email addresses of 1–3 referees
Please don’t hesitate to contact with any questions about the position.
Best,
--Burak Yelmen, PhD
Institute of Genomics, University of Tartu
Riia 23b/2 51010 Tartu, Estonia