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RA or Postdoc on modeling COVID-19 for applied public health: focus on mobility

We have several positions open, along the following directions on modeling for applied public health:

  1. screening (you’ll need experience with networks and mathematical modeling)
  2. space (you’ll need experience with metapopulation modeling and inference)
  3. epidemiological data (you’ll need experience with field data and statistical models)
  4. mobility (you'll need experience with different types of mobility data, and statistical models)

Overall, you want to have experience with mathematical and/or statistical modeling for infectious disease epidemics. And of course, experience in programming, numerical simulations, networks. You also love working with empirical data.
Please let us know in your cover letter what experience you'll bring to the lab. Positions are for 1 year, renewable. Starting date as soon as possible.

Project (1) is in collaboration with Alain Barrat (CNRS, Marseille). There is also a twin open position at Alain Barrat's lab in Marseille. Projects (2) and (4) are in collaboration with Stefania Rubrichi (Orange). Project (3) is in collaboration with local authorities in France.
All our work on COVID-19 is listed here:
We have been active since January 2020 to provide regular reports on the ongoing situation and to respond to specific needs/questions of public health agencies and health authorities, with whom we work in close collaboration. These projects continue this activity. Our scientific production on COVID-19 can be found in our publications page:

Our group is here: - vibrant, hard-working, enthusiastic.

To apply send a CV and a letter of motivation to epicx.lab @ specifying in the subject "APPLICATION JOB #X", with X corresponding to the numbered research direction above.

Paris is wonderful also under curfew and with museums closed.

INSERM (French National Institute of Health and Medical Research)
Closing date
April 30th, 2021
Posted on
February 12th, 2021 11:49
Last updated
February 12th, 2021 11:49