We are seeking candidates for a 1+1-year postdoctoral fellowship in the interface between statistical physics, biological physics and computational biology, in the team "Statistical Genomics and Biological Physics" at the Laboratoire de Genomique des Microorganismes, Universite Pierre et Marie Curie, Paris, France. 

The research will be done in tight collaboration with Alexander Schug (Karlsruhe Institue for Technology, Germany) and Olivier Tenaillon (INSERM, Paris, France), about integrating structural and co-evolutionary information in protein modeling. Applicants are expected to have a strong background in one or more of the following fields: Statistical physics, biological physics (in particular biomolecular simulation), statistical inference, bioinformatics, computational biology, (soft-)condensed matter theory, machine learning; they should have some programming knowledge and a general interest in molecular biology. Prior experience with biological systems and data analysis is welcome, but not required. Applicants must be interested in collaborating with researchers of different scientific background, ranging from theoretical physics via biomolecular simulation to experimental biology. 

For further information, please contact Martin Weigt (martin.weigt@upmc.fr). Applications including a CV, a list of publications, a research statement and addresses of at least two potential reviewers are to be sent before March 31, 2013, as one single pdf file to the same e-mail address. 

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Martin Weigt 

Laboratoire de Génomique des Microorganismes, 

UMR 7238 Université Pierre et Marie Curie 15, 

rue de l'école de Médecine 75006 Paris, FRANCE

 Tel: +33 (0)1.44.27.73.68 

Fax: +33 (0)1.44.27.73.36 

Email: martin.weigt@upmc.fr