Two Postdoctoral (M/F) Positions in the Development of Machine Learning Methods for Single-Cell Multi-Omics Spatiotemporal Data
18 Jan 2026
Job Information
- Organisation/Company
CNRS- Department
Biologie du Développement et Cellules Souches- Research Field
Biological sciences
Computer science
Mathematics- Researcher Profile
First Stage Researcher (R1)- Application Deadline
7 Feb 2026 - 23:59 (UTC)- Country
France- Type of Contract
Temporary- Job Status
Full-time- Hours Per Week
35- Offer Starting Date
1 Mar 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
Single-cell high-throughput sequencing technologies generate unprecedented volumes of molecular data at cellular resolution, opening new avenues for the application of machine learning to fundamental biological problems. The postdoctoral researchers will be recruited to join the Machine Learning for Integrative genomics team at Institut Pasteur in the context of the ERC Starting Grant MULTI-viewCELL.
One position will focus on the development of multi-modal Foundation Models that integrate single-cell omics with spatiotemporal information. The second position will address the development of a virtual tissue model, exploiting spatial transcriptomics data and network-theoretic approaches.
- 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
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. The postdoctoral researchers recruited will be under Laura Cantini's hierarchical authority.
Where to apply
- Website
- https://emploi.cnrs.fr/Candidat/Offre/UMR3738-DEBPHI-004/Candidater.aspx
Requirements
- Research Field
- Biological sciences
- Education Level
- PhD or equivalent
- Research Field
- Computer science
- Education Level
- PhD or equivalent
- Research Field
- Mathematics
- Education Level
- PhD or equivalent
- Languages
- FRENCH
- Level
- Basic
- Research Field
- Biological sciences
- Years of Research Experience
- None
- Research Field
- Computer science
- Years of Research Experience
- None
- Research Field
- Mathematics
- Years of Research Experience
- None
Additional Information
Eligibility criteria
Degree : PhD in computer science, machine learning, or computational biology
We expect a candidate with a strong background in machine learning or statistics. The candidate must also be proficient in high-level languages like Python. Familiarity with single-cell date 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.
Additional comments
https://www.ins2i.cnrs.fr/fr/cnrsinfo/laura-cantini-un-projet-erc-start…
https://research.pasteur.fr/en/project/multi-viewcell/
- Website for additional job details
https://emploi.cnrs.fr/Offres/CDD/UMR3738-DEBPHI-004/Default.aspx
Work Location(s)
- Number of offers available
- 2
- 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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