Postdoc in Paris [reposted]

The Fondation Sciences Mathématiques de Paris offers postdoctoral positions in Mathematics and in fundamental Computer Science for academic year 2023-2024. The positions are located in Paris. Schedule of deadlines below (at 11:59 p.m., Paris time).

FSMP Postdoctoral program: from Tuesday October 4 to Wednesday November 30 2022

Offer description: https://sciencesmaths-paris.fr/en/nos-programmes-en/postdocs

Application form: https://applications.sciencesmaths-paris.fr/en/2012-2013-postdoctoral-positions-380.htm

MathInGreaterParis Postdoctoral program: from Tuesday October 4 to Wednesday November 30 2022

Offer description: https://www.mathingp.fr

Application form: https://www.mathingp.fr/en/post-doc-72.htm

Parisian funding for the incoming academic year [FSMP]

The Paris Foundation for Mathematical Sciences [FSMP] is launching calls for

• senior excellence chairs [deadline 30 November]
• post-doctoral positions [deadline 30 November]
• Master grants [deadline 9 February for students studying abroad and 9 May for students studying in a Paris university]

Statistical Demography by Adrian Raftery [lectures]

Adrian Raftery’s course in Paris

UW Professor and U.S. National Academy of Sciences member Adrian Raftery has received the 2020 FSMP research chair and as a result will be visiting Paris this Fall 2021. He will be located at the MAP5 laboratory at the University of Paris. In particular, he will give a 20-hour Master course on statistical semography. This will be given over four successive Tuesdays, with 5 hours of lectures per week. The course is open to all. Attendance is free of charge but registration is mandatory. (To register, please fill the attached form. Lectures will be given in the salle du conseil, on the 7ft floor of the Saint-Germain-des-Prés campus, 45 rue des Saints-Pères, 75006 Paris.)

Demography aims to estimate and forecast population, fertility, mortality and migration. This is important for government policy-making, private sector planning, and research in the health and social sciences, and also critical for climate science and global health. It has traditionally been done using deterministic mathematical methods, but these ignore uncertainty and measurement error.  In the past decade, modern statistical methods were developed for this by our group at the University of Washington, and these were recently adopted by the  United Nations for their official population forecasts for all countries.  Statistical demography is expanding rapidly,  and this course will teach theory and practice of  methods and models of the field, with a focus on current and potential future research.

The topics will be:

1. Review of basic mathematical demographic methods.

2. Modeling age-specific rates, including model schedules and Lee-Carter method.

3. Statistical modeling and projection of fertility, mortality, migration and population.

4. Reconstructing population and vital rates from imperfect data.

graduate funding in Paris