Contact: jay.wadekar[AT]utexas.eduLocation: Austin, TX, USA
The Center for Gravitational Physics (CGP) within the Weinberg Institute at the University of Texas at Austin invites applicants for multiple Weinberg Institute Postdoctoral Fellowships starting in September 2026. These positions are open to candidates in gravitational-wave physics, astrophysics and data analysis, especially in (but not limited to) the areas of:
(1) Cosmological inference with gravitational-wave observations
(2) Applications of AI/ML techniques broadly to astrophysics, cosmology or gravitational wave data analysis
(3) Nuclear astrophysics with gravitational-wave observations
(4) Gravitational-wave multimessenger astrophysics
(5) Numerical simulations of compact binaries
One of the research opportunities will be to collaborate with incoming Prof. Jay Wadekar. This is open to candidates with a general background in data-driven analysis or AI/ML techniques in any domain, but who are interested in applying their skills to gravitational-waves, astrophysics or cosmology. UT Austin hosts the NSF-Simons Cosmic AI Institute and fellows will benefit from collaborations with its members.
https://cosmicai.org/team
Fellows will also generally have the opportunity to conduct independent research and to collaborate with all the faculty of the CGP (Hsin-Yu Chen, Jay Wadekar, Pablo Laguna, Richard Matzner, Deirdre Shoemaker and Aaron Zimmerman), and with researchers within the larger Weinberg Institute. Professors Chen, Shoemaker and Zimmerman are members of the LIGO Scientific Collaboration, and a successful candidate will have the opportunity to join or continue membership in these collaborations. Fellows will also benefit from interactions with members of the Weinberg Theory Group, the Department of Astronomy, Oden Institute for Computational Engineering and Sciences and use resources from the Texas Advanced Computing Center (TACC).
The application link and further details are below (deadline is 21st Nov, 2025)
academicjobsonline.org/ajo/fellowship/30583
Best,
Jay Wadekar (on behalf of the CGP)