PhD in AI for Interpretable Genome Interpretation

Universite de Montpellier; France; Sur place; EUR 23 000 - 28 000; Plein temps

Résumé du poste

Universite de Montpellier invites applications for a PhD student position in the AI for Genome Interpretation program, embedded in the IGMM. The project investigates Vector Symbolic Architectures to predict phenotypes from genomic sequencing data, within an interdisciplinary and international environment.

The successful candidate will work at the interface of AI, ML, and genomics, building novel interpretable models and contributing to methodological and biological insights.

Qualifications

• Master's degree or equivalent in Computer Science, AI, ML, Bioinformatics, or related field.
• Strong Python programming skills and PyTorch experience.
• Good knowledge of machine learning and statistical learning.

Responsabilités

• Develop multi-scale Vector Symbolic Architectures representations for genomic data.
• Design supervised and self-supervised learning methods on genomic hypervectors.
• Benchmark VSAs against traditional ML and deep learning approaches.
• Develop interpretable decoding methods to quantify variant-, gene-, and pathway-level contributions.
• Apply methods to yeast and human genomic data and analyze biological relevance.

Connaissances

Python programming

PyTorch

Machine Learning

Bioinformatics

Formation

Master's degree or equivalent

Outils

Python

PyTorch

Description du poste

Universite de Montpellier invites applications for a PhD student position in the AI for Genome Interpretation program, embedded in the IGMM. The project investigates Vector Symbolic Architectures to predict phenotypes from genomic sequencing data, within an interdisciplinary and international environment.

The successful candidate will work at the interface of AI, ML, and genomics, building novel interpretable models and contributing to methodological and biological insights.