We are seeking candidates for a postdoctoral research position at the
interface between statistical physics and computational biology. The
postdoc will work in collaboration with Martin Weigt (UPMC) and
Francesco Zamponi (ENS Paris), on statistical-physics inspired
data-driven modelling approaches to the evolution and coevolution of
proteins.

The scientific project concerns in particular the study of the impact
of phylogenetic effects on the Direct Coupling Analysis (DCA), both in
stylized toy models and in real protein sequence alignment data. We
will use methods from statistical physics and statistical inference.
Most of the work will likely be computational, although some analytic
calculations might also be performed.

A background in statistical or biological physics is required. The
candidate should have a general interest in working with biological
data, but no prior background in biology is needed.

Applications are welcome at any time, until the position is filled.
Please send an email to francesco.zamponi@lpt.ens.fr and
martin.weigt@upmc.fr, containing your CV and, if you wish, other
application material such as research statement, etc. Please use the
email subject "Application YOUR_NAME YOUR_SURNAME". Recommendation
letters (at least two and no more that four) should be sent to the
same addresses with the same subject. Alternatively, the complete
application package (including recommendation letters) can be sent
through AcademicJobsOnLine at this address:
https://academicjobsonline.org/ajo/edelivery/2361 

Applications from young candidates (for a first postdoc after the
PhD), women, and underrepresented minorities are especially welcome.