University of Liege
3 months ago
Fully-Funded PhD Positions in Machine Learning, Genomics, and Explainable AI University of Liège in Belgium
Degree Level
PhD
Field of study
Computer Science
Funding
Full funding availableDeadline
December 31, 2026Country
Belgium
University
University of Liege

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About this position
Two fully-funded PhD positions are available at the University of Liège, Belgium, focusing on the development of interpretable deep learning techniques for plant and animal genomic data. This collaborative project brings together the Montefiore Institute (AI & ML), the Unit of Animal Genomics (livestock genomics), and the Translational Plant Biology Lab. Students will engage in cutting-edge research on explainable AI, knowledge-guided deep learning, and gene regulatory network inference, working with data from cattle and Chlamydomonas reinhardtii. The research is highly interdisciplinary, combining machine learning, genomics, and bioinformatics, and aims to advance understanding in both plant and animal systems. The project is ideal for candidates interested in the intersection of computer science, biology, and statistics, particularly those passionate about explainable AI and its applications in genomics. The positions are fully funded, though specific financial details are not provided. Applicants should have a strong interest in machine learning, AI, computer or data science, or genomics, and be motivated to work in a collaborative, international environment. The start date is October 2025. To apply, candidates should send a CV, motivation letter, and referees to the provided email addresses. This is an excellent opportunity to join a leading research institution and contribute to innovative research at the interface of AI and genomics.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
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