Postdoctoral position (1 to 3 years) in LRI Paris-Saclay (France) - population genetics, paleogenomics, machine learning, statistics

Type de poste
Niveau d'étude minimal
Durée du poste
Contrat renouvelable
Contrat renouvelable
Détails de renouvellement
renouvelable jusqu'à 3 ans
can be renewed up to 3 years
Date de prise de fonction
Date de fin de validité de l'annonce
Nom de la structure d'accueil

Bât 650 Ada Lovelace Université Paris-Sud
rue Noetzlin
91405 Orsay

Flora Jay
Email du/des contacts

Postdoctoral position (1 to 3 years) in LRI Paris-Saclay (France) - population genetics, paleogenomics, machine learning, statistics

We are recruiting a postdoctoral researcher to work on the newly awarded Human Frontier Science Program (HFSP) project “Evolutionary changes in human hosts and their pathogens during first contact in the New World”

that brings together Emilia Huerta-Sanchez lab (Brown University, USA), Maria Avila-Arcos lab (UNAM, Mexico) and Flora Jay (LRI, France).

Candidates must hold a PhD at the time of recruitment and demonstrated expertise in at least one of the following:

* population genetics, paleogenomics, pathogen genomics, metagenomics, statistical inference, machine learning, deep learning, mathematical modeling. *

Candidates are expected to be proficient in oral and written English and have great communication skills. The selected candidates will have the opportunity to visit the three partner labs for short to mid-time periods and will work in tight collaboration with the 3 labs via regular skype meeting.

* Project description

In this project we will combine the latest paleogenomics techniques with novel population genetics, machine learning, and statistical methods to study the evolutionary dynamics at play in both humans and pathogens in response to epidemics caused by the European colonization of America.

* Role

The candidate will lead and perform statistical analyses of pathogen and human longitudinal genetic data newly sequenced for this project. He/She will develop new mathematical models and/or machine learning approaches to quantify jointly the changes in both pathogen and human diversity across time, identify the signatures of selective pressure, and help understanding the dynamics of adaptation in response to epidemic outbreaks and colonization.

* Location

The position will be based in LRI (Paris-Saclay, France, a computer science lab hosting leading experts in machine learning and bioinformatics, and the postoc will have the opportunity to gain research experience in the lab of Dr. Huerta-Sanchez (at Brown University in the US) and Dr. Maria Avila Arcos (at LIIGH in Mexico).

* Please email for any question or directly send your resume and cover letter detailing your interest and experience to,; and The evaluation of applications will begin immediately, and will continue until a suitable candidate has been found. The intended start date is October 1st, but it is flexible.

* Investigators

Flora Jay (CNRS/LRI, France) -

Emilia Huerta-Sanchez (Brown University) -
Maria Avila Arcos (UNAM, Mexico) -

Equipe adhérente personne morale SFBI
Equipe Non adhérente