PhD Student Position in Machine Learning and Integrative Genomics at Institut Pasteur Institut Pasteur in France

The Institut Pasteur in France is offering a PhD student position in the Machine Learning for Integrative Genomics team, led by Laura Cantini. This research group operates at the intersection of machine learning and biology, focusing on the development of innovative computational methods for single-cell data analysis. The successful candidate will work on projects involving the integration of multi-omics data, with a particular emphasis on inferring trajectories from spatial transcriptomics data, modeling both gene expression and spatial evolution of cells.

Applicants should have a strong background in machine learning or statistics, and must be proficient in high-level programming languages such as Python. Experience with single-cell data and familiarity with existing single-cell analysis methods and software are highly desirable. The position requires excellent communication skills, the ability to work both independently and as part of a team, and fluency in English. Candidates must hold a Master's degree (M2) in data science, computer science, or applied mathematics.

The position is available starting from October, with salary provided according to Institut Pasteur guidelines. The application deadline is December 31, 2026. To apply, candidates should send their CV, motivation letter, and contact details of 2-3 references to [email protected]. More information about the research team and their work can be found at the provided academic page. This opportunity is ideal for students interested in machine learning, genomics, computational biology, and data science, and offers the chance to contribute to cutting-edge research in a leading international institute.