Post-doctorate
position offer
From Sequences
to Fitness : Models and Measurements
of Protein Landscapes
Location: Ecole Normale Suprieure, Paris â Laboratories
of Statistical and Theoretical
Physics (LPS-ENS, LPT-ENS)
Fields: Statistical Physics, Genomics and Proteomics, Statistical Inference
Contacts:
Simona Cocco, email: cocco@lps.ens.fr, phone: (33) 1 44 32 34 73,
web page: http://www.phys.ens.fr/~cocco
Rmi Monasson, email: monasson@lpt.ens.fr, phone : (33) 1 44 32
25 89, web page: http://www.phys.ens.fr/~monasson
Starting date: Fall 2016
Duration: post-doc : 1 year (possibly
extensible to 2 years)
Description: We are looking
for interested and motivated
post-doctoral candidates to work
on a statistical inference/physics project to build generative models of proteins from sequence data. The post-doc researcher will be involved in a close
collaboration between the theory
group of Simona Cocco and Remi Monasson at Ecole
Normale Superieure in Paris, and the experimental
group of Clement Nizak at ESPCI, who will
assess the functionality of
protein sequences with microfluidics techniques.
Candidates are expected to have
a Ph.D. degree in statistical physics or computational biology and a strong experience in
computation/simulations. The candidates should also express a strong interest in interacting with experimentalists.
Applicants should send their curriculum vitae, list of
publications (for the post-doctorate position), two recommendation letters and a motivation letter
to cocco@lps.ens.fr or monasson@lpt.ens.fr. The deadline for
applications is April
30th, 2016.