31 Jan 2026
Job Information
- Organisation/Company
CNRS- Department
Biologie du Développement et Cellules Souches- Research Field
Mathematics
History » History of science- Researcher Profile
First Stage Researcher (R1)- Application Deadline
20 Feb 2026 - 23:59 (UTC)- Country
France- Type of Contract
Temporary- Job Status
Full-time- Hours Per Week
35- Offer Starting Date
1 May 2026- Is the job funded through the EU Research Framework Programme?
Horizon Europe - ERC- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
The Machine Learning for Integrative Genomics team (https://research.pasteur.fr/en/team/machine-learning-for-integrative - genomics/) at Institut Pasteur, led by Laura Cantini, works at the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 9 people : 4PhD students, 3 post doc, 1 research engineer and 1 assistant. The team is associated with the Institut Pasteur's Computational Biology Department, UMR3738 and the PRAIRIE Artificial Intelligence Institute. The team recently won ERC StG funding, which is the subject of this recruitment.
MULTIview-CELL ERC StG :
https://www.ins2i.cnrs.fr/fr/cnrsinfo/laura-cantini-un-projet-erc-start…
https://research.pasteur.fr/en/project/multi-viewcell/
Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating exciting opportunities for machine learning to address outstanding biological questions. The PhD (M/F), to be recruited in the context of the ERC StG MULTI-viewCELL, will be working on the development of a new method combining machine learning and biophysical modelling to model embryo development from spatial transcriptomics data.
Activities :
- design of a new mathematical method
- monitoring and study of publications relevant to the field
- programming/coding in Python (Pytorch)
- presentation of results at conferences
- interaction with team members and international collaborators
Degree : Master of Physics, data science, computer science, applied mathematics
We expect a candidate with a strong background in physics and/or machine learning. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell data and experience with existing single-cell methods and software would represent a strong advantage. Excellent communication skills and team spirit, and an ability to work in autonomy are essential. Fluent English both spoken and written is required.
Where to apply
- Website
- https://emploi.cnrs.fr/Candidat/Offre/UMR3738-DEBPHI-006/Candidater.aspx
Requirements
- Research Field
- Mathematics
- Education Level
- Master Degree or equivalent
- Research Field
- History
- Education Level
- Master Degree or equivalent
- Languages
- FRENCH
- Level
- Basic
- Research Field
- Mathematics
- Years of Research Experience
- None
- Research Field
- History » History of science
- Years of Research Experience
- None
Additional Information
- Website for additional job details
https://emploi.cnrs.fr/Offres/Doctorant/UMR3738-DEBPHI-006/Default.aspx
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Biologie du Développement et Cellules Souches
- Country
- France
- City
- PARIS 15
- Geofield
Contact
- City
PARIS 15- Website
https://research.pasteur.fr/en/team/genetic-molecular-and-cellular-bases-of-development/
STATUS: EXPIRED
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