Context

We are currently in search of a motivated individual with a background in Biophysics or System Biology or Data Science to contribute to our ongoing efforts in developing cellular models (doi:10.1038/s41467-023-40380-0). The candidate will participate in projects funded by the French funding research agency (ANR) and a European Project (BIOS) at the MICALIS institute.  MICALIS (INRAE & University of Paris Saclay, https://www.micalis.fr) is a research unit of more than 350 researchers developing multidisciplinary approaches and promoting the development of synthetic biology applications for health and biotechnology. Within MICALIS , the recruiting research team (~20 staff spread into wet and dry labs www.jfaulon.com) specializes in developing computer-aided design tools for biotechnology. The candidate will closely collaborate with software developers and interact with Research and Data Scientists, Engineers, and Ph.D. fellows.

Mission(s)

Embark on an exciting journey working with novel AI-driven whole-cell models designed to facilitate the study of transcription, translation, and metabolism. You will undertake the following tasks:

• Benchmark existing mechanistic methods to model the kinetics of transcription, translation and metabolism.
• Contribute to the development of hybrid neural-mechanistic models based on physics informed neural networks and/or graph neural networks.
• Benchmark the hybrid models with experimental measurements collected by project partners or generated in the hosting lab.
• Propose a strategy to use the hybrid models for cell engineering.

Profile

• Ph.D. degree in Physics or Biophysics or System Biology or Data Science with a background in Physics
• Prior knowledge in machine learning libraries (Scikit-learn, TensorFlow, PyTorch).
• Strong programming skills (Python, C++).
• Good knowledge of Unix-like OSs, testing practices, and Git versioning.
• Knowledge of continuous integration paradigms is a plus.

Contract and Salary

• Fixed-term contract of 12 months (renewable), in accordance with French legislation.
• Salary will be commensurate with qualifications and experience.

To apply

Applicants should send a detailed curriculum vitae, a letter of intent explaining their motivations for the position, and contact details of at least two references.

Send your queries/applications to; Jean-Loup Faulon <jean-loup.faulon@inrae.fr>