3-year postdoc offer in active particles / fluid mechanics / reinforcement learning in Marseille (France)

[Quantitative Life Sciences]

The IRPHE lab (Marseille, France) has an opening for a fully-funded, 
3-year postdoc position.
Topics of interest include the collective behavior of active particles 
in fluids and the optimization of such systems (in particular using 
reinforcement learning).

IRPHE is looking for a highly motivated researcher with strong numerical 
skills and prior experience in at least one relevant area (fluid 
mechanics/transport processes, active particles/collective 
behaviour/complex systems, reinforcement learning).
The application procedure is detailed below.

Contacts:

Aurore Loisy aurore.LOISY at univ-amu.fr
https://auroreloisy.github.io/

Postdoctoral Researcher Position
*Bio-inspired collective navigation in complex flows

*Type: Theoretical/Numerical
Location: IRPHÉ, Marseille, France
Contract duration: up to 3 years, funded by the French National Research 
Agency (ANR) Gross salary: between 3081 € and 4292 € per month, 
depending on experience
Starting date: flexible
Contact: Aurore Loisy (aurore.loisy at univ-amu.fr) 
https://auroreloisy.github.io/

*Project*. Inspired by the collective migration of numerous living 
organisms, this interdisciplinary project aims at uncovering the 
cooperation strategies that swarms can use to navigate and commu- nicate 
in complex flows. The goal is to understand how hydrodynamical and 
chemical signals can be exploited at the group level for various tasks 
(e.g., foraging, efficient migration, ...), with applic- ations to 
living systems and robotics. To this end, we will use a combination of 
theory, simulation and reinforcement learning. Depending on their 
background and preferences, the postdoctoral re- searcher will 
contribute to one or more of these aspects.

*Profile*. Candidates should have an outstanding track-record, some 
prior experience in either fluid mechanics (CFD simulations, 
transport/mixing in complex flows), active matter/biophysics or deep 
reinforcement learning, as well as a taste for interdisciplinary 
research and programming (Python).

*Environment*. The successful candidate will join the “Living and 
bio-inspired systems” group at the ‘Institut de recherche sur les 
phénomènes hors équilibre’ (IRPHÉ), a physics/mechanics lab loc- ated in 
Marseille. They will be part of an international team of researchers 
working on bio-inspired navigation, smart active particles and 
collective behaviour.

*Application*. Candidates are invited to contact Aurore Loisy by email. 
They should provide: (1) a detailed CV with publication list, (2) 
contact information of at least 2 academic references, and (3) a 
research statement (max 2 pages) describing past activities and research 
interests. Informal inquiries are also welcome.