PostDoc in large scale inverse problems


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PostDoc in large scale inverse problems

University of Nice Sophia Antipolis
Country of Position: 
Contact Name: 
André Ferrari
Technical Area: 
Signal Processing Theory and Methods
Start Date: 
October 03, 2016
Expiration Date: 
June 29, 2018
Position Description: 

Applications are invited for a 2-year postdoctoral researcher position at  Lagrange Laboratory located in Nice (France). This position is available from october 2016.

Successful candidate will work in the signal processing group of Lagrange Laboratory to develop new theory and algorithms for large scale image reconstruction with application to radio astronomy. The group includes André Ferrari,  Prof., Chiara Ferrari, Ast. and David Mary, Prof.

Host institution and place of work

The advertised position is hosted by Observatoire de la Côte d'Azur. Observatoire de la Côte d'Azur is deeply involved in the preparatory work for the incoming and future radio telescopes. The successful candidate will be based at  Lagrange laboratory in the Fizeau building located on the Valrose Campus of the University of Nice Sophia-Antipolis. 

The Valrose Campus is located in the center of Nice.

Project Description

Keywords: inverse problems, radio astronomy, large scale problems, SKA.

MAGELLAN project focuses on data processing for very large interferometers for radioastronomy such as SKA (Square Kilometer Array). It addresses the design of efficient algorithms for image reconstruction. 

The reconstruction algorithms for SKA precursors must face simultaneously the reconstruction of a very wide field of view from hundreds of thousands of complex visibilities, a large variety of sources morphologies as well as an extremely high targeted sensitivity level. The challenging objective of the project is the reconstruction of ``spatio-spectral'' images,  where the spectral dimension critically blows up the size of the inverse problem, with targeted sizes reaching 80 TB for SKA cubes. More informations at

Applicant profile

Candidates should have a PhD in a relevant discipline (inverse problems, applied mathematics, radio astronomy or a related discipline). 
Strong skills in both algorithm development and analysis for signal/data processing is required.The successful candidate must demonstrate strong self-motivation, excellent written and spoken English communication skills as well as team spirit.

The annual take-home salary is approximately 25,800 €, which includes health insurance and other benefits, corresponding to a gross salary of 48,000 €.


Applications should include a detailed resume and the names and contact details of two referees. Applications and informal enquiries can be sent to Prof. André Ferrari at

Review of applications will begin october 1, 2016, and continue until the position is filled.

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