Job Description

Please find below a detailed annoucement for 1 PhD and 4 postdoctoral students in mathematical/statistical tools for machine learning and signal processing at the LANEAS group (Mérouane Debbah, Romain Couillet) of CentraleSupélec in Paris.

* 1 PhD student:
- 1 position in random matrix theory for machine learning/big data. The student must have a strong background in mathematics and in particular probability theory/statistics, and may have some basic knowledge about machine learning and signal processing.
Starting date: up to September 2015.


* 4 Postdoc positions:
- 1 position in random matrix theory for wireless communications. This position, attached to a contract with Huawei, requires a student knowledgeable of RMT and wireless communications. The work will be on several considerations of multi-user MIMO communications.
Starting date: as soon as possible

- 1 position at Supélec/Telecom ParisTech in random matrix theory in non Hermitian settings. This position is attached to an ANR program. Here a math expert in the domain is expected. No specific knowledge about application fields is required.
Starting date: as soon as possible but no later than September 2015.

- 2 positions in machine learning or large dimensional statistics/signal processing at large. These positions are open to students with large autonomy on the aforementioned topics. Their work will be to hold a leading position in the LANEAS group and will involve supervision of PhD students and interns in their dedicated fields. Strong mathematical background is demanded. Areas of expertise may cover, non exhaustively, distributed optimization, game theory, random matrix theory, compressive sensing, stochastic geometry, distributed caching, wireless networks, etc. The position is atatched to an ERC program.
Starting date: as soon as possible.


The advisors will be Prof. Romain COUILLET and Prof. Mérouane DEBBAH, at CentraleSupélec (and Prof. Walid HACHEM at Telecom ParisTech for postdoc position 2). Collaborations with Telecom ParisTech, University of Marne la Vallée, and ENS Ulm will be made in the course of the projects.

For more information and for applications, please email to Prof. Mérouane DEBBAH (merouane.debbah@supelec.fr) and Prof. Romain COUILLET (romain.couillet@supelec.fr).

Follow @eurasip