Postdocs

Postdocs Affiliated with DIMACS

Current Postdocs

Ariel Schvartzman Cohenca, Ph.D. in Computer Science, Princeton University, 2020

  • DIMACS Postdoc (2020-2022)

Troy McMahon, Ph.D. in Computer Science, Texas A&M University, 2016

  • DIMACS Postdoc (2020-2021)

Roy Tell, Ph.D. in Theoretical Computer Science, Weizmann Institute of Science, 2020

  • DIMACS Postdoc (2021-2022) IAS (2022-2023)

Cameron Thieme, Ph.D. in Mathematics, University of Minnesota, 2021

  • DIMACS Postdoc (2021-2022)

Ewerton Rocha Vieira, Ph.D. in Mathematics, Universidade de Campinas, 2015

  • DIMACS Postdoc (2020-2022)

Nicole Wein, Ph.D. in Computer Science, Massachusetts Institute of Technology, 2021

  • DIMACS Postdoc (2021-2023)

 View All Past Postdocs

Apply to become a DIMACS postdoc

DIMACS, the Center for Discrete Mathematics and Theoretical Computer Science, invites applications for postdoctoral associate positions beginning in 2021. Applicants should be recent Ph.D.'s with interest in DIMACS areas, such as computer science, discrete mathematics, statistics, physics, operations research, data science, AI, machine learning, ethics of algorithms, and their applications, and more.

We are currently seeking applications for a postdoc associated with the DATA-INSPIRE TRIPODS Institute:

DATA-INSPIRE is a transdisciplinary (TRIPODS) Institute based at DIMACS focusing on Data Science for INtelligent Systems and People Interaction. It involves faculty from Computer Science, Mathematics, and Statistics with a focus on data science principles and the emerging convergence of humans with machines. Applicants should be recent PhDs in computer science, math, or statistics, with a demonstrated interest in working across these disciplines.
 
TRIPODS (Transdisciplinary Research In Principles Of Data Science) is a National Science Foundation program that supports the development of collaborative Institutes that bring together the disciplines of mathematics, statistics, and theoretical computer science and emphasize the theoretical foundations of data science.
 
Experience: This position is intended for a person who has completed a Ph.D. in Mathematics, Computer Science, Statistics, Operations Research or a related field within the last three years.
 
Knowledge/Skills/Abilities: Selection is based primarily on demonstrated technical excellence within the relevant areas of mathematics, statistics, theoretical computer science, data science, AI, and related fields.
 
Special Instructions to Applicants: Applicants should provide a cover letter, a curriculum vitae, a research statement highlighting their current, past and planned future research, and the names/e-mail addresses of three references. We believe that research and society benefit from a diverse workplace, and strongly encourage applications from women, minorities, individuals with disabilities, veterans, and students with non-traditional backgrounds.
 
Applications are due April 5, 2021 for full consideration.
 
Go to Application Portal