postdoc positions for Berkely semester programs in Fall 2023

[Bettina Klaus]

Dear all,

Below, I am pasting information on two Fall semester 2023 programs in Berkeley, USA, that could be interesting for researchers subscribed to this list (postdoc and membership application deadline to fund the semester stay: December 1st, see https://www.msri.org/web/msri/scientific/member-application). Please spread the word among people you think might be interested.

 Best regards,

 Bettina.

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The Mathematical Sciences Research Institute (MSRI), now becoming the Simons Laufer Mathematical Sciences Institute (SLMath), is pleased to accept membership inquiries for our 2023-24 scientific research programs in Berkeley, California. For details of programs and applying via MathJobs.org, see below.

Algorithms, Fairness, and Equity August 21 - December 20, 2023

This program aims to bring together researchers working at the interface of fairness and computation. This interface has been the site of intensive research effort in mechanism design, in research on partitioning problems related to political districting problems, and in research on ways to address issues of fairness and equity in the context of machine learning algorithms. (Learn more)

 Organizers: Vincent Conitzer (Duke University), Moon Duchin (Tufts University), Bettina Klaus (Université de Lausanne), Jonathan Mattingly (Duke University), Wesley Pegden* (Carnegie Mellon University)

 

Mathematics and Computer Science of Market and Mechanism Design August 21 - December 20, 2023

In recent years, economists and computer scientists have collaborated with mathematicians, operations research experts, and practitioners to improve the design and operations of real-world marketplaces. Such work relies on robust feedback between theory and practice, inspiring new mathematics closely linked – and directly applicable – to market and mechanism design questions. (Learn more)

Organizers: Michal Feldman (Tel-Aviv University), Nicole Immorlica (Microsoft Research), Scott Kominers* (Harvard Business School), Shengwu Li (Harvard University), Paul Milgrom (Stanford University), Alvin Roth (Stanford University), Tim Roughgarden (Stanford University), Eva Tardos (Cornell University)