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 impactof 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 firstname.lastname@example.org email@example.com, 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”. Recommendatio nletters (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 thePhD), women, and underrepresented minorities are especially welcome.