The  CTCN is a multidisciplinary, collaborative center dedicated to understanding how the brain computes. Faculty members contribute expertise from the fields of Neuroscience, Mathematics, Computer Science, Psychology, Physics, and Engineering. Research at CTNC broadly aims at developing new theoretical approaches to better understand neural computation.

The University of Texas at Austin has excellent programs in Computer science, Engineering, Pure and Applied Mathematics, and the Biological Sciences, and CTCN members enjoy collaborative interactions with members from several of these departments. Austin is the 11th-largest and fastest-growing large city in the US. Austin was ranked as the #1 city to live in the US by the US News and World Reports and Forbes in 2017. It is home to a high density of technology and Fortune-500 companies. It is the founding home of Dell Computers and Whole Foods. Austin  supports a thriving live-music culture, extensive outdoor facilities for sports and a year-round climate conducive to their pursuit.


The CTCN invites applications for postdoctoral research positions in collaboration with a network of experimentalists from UT Austin, as well as national and international collaborators. Candidates with a Ph.D. in Physics, Mathematics, Computer Science, or other quantitative field; expertise in nonlinear dynamics, statistical physics, machine learning, or information theory; and a strong record of creativity in their past work are particularly encouraged to apply. It is desirable but not required, that candidates can demonstrate an investment in learning about Neuroscience.

Salary will be competitive and commensurate to the candidate qualifications. UT Austin is an equal opportunity employer and promotes academic strength through diversity. We are sensitive to the needs of dual-academic and dual-career families.

Applicants should submit a curriculum vitae, a list of publications, a brief description of research interests to to the CTCN website, and arrange for three letters of recommendation to be sent directly to

Inquiries may be addressed to or


  • Accepted file types: pdf.
  • Accepted file types: pdf.