Engineering, Natural Sciences, Computer Sciences
Funding. ERC Advanced Grant C0PEP0D
Gross salary. between 23,688 and 26,472€ depending on experience
Context. Copepods are millimetric crustaceans that live in all seas and oceans. Copepods are blind, yet they are able to detect preys, predators and mates by using highly-developed hydrodynamic and chemical sensing. How do copepods process this sensing information? How do they extract a meaningful signal from turbulence noise? Today, we do not know.
Objectives. The objective of the project is to decipher how copepods exploit hydrodynamic and chemical sensing to track targets in turbulent flows. We hypothesize that reinforcement learning can reverse-engineer the algorithms used by copepods. To test this hypothesis, we are building a virtual environment, where copepods are trained: virtual copepods sense flow velocity and chemical concentration and this sensing information is processed by a neural network trained by reinforcement learning. This theoretical and numerical approach is complemented by experiments on real copepods with the goal of measuring how copepods react in flows.
QUALIFICATIONS/SKILLS/EDUCATION & RESEARCH REQUIREMENTS
Candidates should hold a Master degree in fluid dynamics, applied mathematics, soft matter physics, biophysics, or machine learning, and have an outstanding track-record. Candidates with a taste for interdisciplinary research will receive a particular attention.
15 May 2021
1 Sep 2021
The ‘Institut de recherche sur les phénomènes hors équilibre’ (IRPHE) is located in Marseilles, France. IRPHE is one of the leading French laboratories in fluid mechanics, with a strong interdisciplinary history. The candidates will join the international research group of Christophe Eloy as PhD scholars. They will contribute to one aspect of the ERC-funded project C0PEP0D.
REQUESTED DOCUMENTS OF APPLICATION
Candidates should provide: (1) a detailed CV, (2) contact information of at least 2 academic references, (3) a motivation letter describing past activities and research interests, and (4) the grades of their most recent degrees.
CONTACT TO APPLY
|Titel||PhD in Fluid Mechanics: How do copepods track a target in turbulence without eyesight|
|Job location||Jardin du Pharo 58, bd Charles Livon, 13284 Marseille|
|Veröffentlicht||April 14, 2021|
|Bewerbungsschluss||Mai 15, 2021|
|Jobart||PhD/ Doktorand/in  |
|Fachbereiche||Algorithmen,   Biophysik,   Computergestützte Physik,   Strömungsphysik,   Maschinelles Lernen,   Strömungsmechanik  |