2-year postdoc in Machine Learning and Reverse-Modeling of biological networks (Evry, near Paris, France)

A 2-YEAR POSTDOC POSITION AVAILABLE in MACHINE LEARNING and REVERSE-MODELING OF SIGNALING and GENE REGULATORY NETWORKS at IBISC (University of Evry – GENOPOLE, France)

The Machine Learning, Modeling and Data Integration Group group at laboratory IBISC at University of Evry – Genopole (30km Paris, France) is looking for postdoctoral candidates for a two-year position with a strong background in statistical learning (graphical models and kernel methods) and an interest for interdisciplinary research aimed towards reverse-modeling of biological networks.

The successful applicant will participate to an ANR project called ODESSA that began on December 1rst, 2009, in collaboration with the l’Institut de Génomique Fonctionnelle de Lyon (IGFL, Ecole Normale Supérieure de Lyon, France). He/she will investigate new algorithms for structure and module learning in nonlinear state-space models. A sound knowledge in graphical models (dynamical models, mixture models, latent variable models) and kernel-based approaches is asked. The targeted application is the identification of signaling and gene regulatory networks involved in the cellular response to retinoic acid from large scale data (next generation sequencers). Experience in large scale data-mining of post-genomic data will be appreciated but is not required.

The successful candidate will have a Ph.D. in Computer Science, Mathematics or Bioinformatics with a strong publication record.

Applications for this role should include a statement of research experience and interests, a CV, two reference letter(s) from appropriate academic sources and the two best publications.

Please send your applications in electronic form to Prof. Florence d’Alché-Buc : florence.dalche (at) ibisc.univ-evry.fr

The position can start in early 2010 and not later than June 2010.

Deadline for the first round of applications is Jan, 31 2010.

More details available at http://amisbio.ibisc.fr/opencms/opencms/amis/en/jobs/