Assistant / Associate Professor in Computational Neuroscience

University of Texas at Dallas-posted 11 months ago
Full-time • Entry Level
Richardson, TX
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The Department of Neuroscience in the School of Behavioral and Brain Sciences at The University of Texas at Dallas seeks to hire tenure-system faculty at the Assistant or Associate Professor ranks with expertise in neural coding, neural computation, and/or neural control as part of a newly funded University initiative. The goal of this cluster hiring initiative is to develop an internationally recognized computational neuroscience research and educational program at UT Dallas that leverages and extends existing University expertise in systems and cognitive neuroscience, neural device development, and machine learning. The ideal candidate would conduct highly collaborative dry lab research in areas of focus aligned with Department strengths in Learning & Memory, Decision Making, Motor Control, Sensory Perception and Pain, or Neurogenomics. Faculty will be expected to teach undergraduate and graduate courses related to their area of expertise. The appointment commences for the fall 2025 semester.

  • Demonstrate a commitment to teaching excellence.
  • Prepare and teach undergraduate and/or graduate classes.
  • Contribute assessment information and data as requested.
  • Mentor and/or advise undergraduate and/or graduate students.
  • Establish and/or continue an independent line of research.
  • Continue to expand professional influence in the academic discipline through research and/or publication.
  • Engage in service within the academic unit, the university, and the profession as appropriate based on teaching and research constraints.
  • Teach two or three (2 or 3) classes each academic year.
  • A PhD or equivalent in Neuroscience, Computer Science, Mathematics, or a related field is required prior to employment.
  • Candidates at the Assistant Professor rank should show evidence of an innovative and productive research program with clear potential for funding.
  • At the Associate Professor rank, candidates should have an established research program with a track record of productivity and external funding.
  • Demonstrate the ability to work effectively in a highly collaborative, engaging, and dynamic environment.
  • Ability to produce research and scholarly or creative achievements that enhance the program and the discipline.
  • Ability to deliver high quality teaching using evidence-based practices to effectively engage students from a range of backgrounds and experiences.
  • Postdoctoral Fellowship training.
  • Evidence of a dynamic and productive research program with clear potential for funding.
  • Physical and mental wellness resources.
  • LilyPad lactation facilities located throughout the campus.
  • Employee Resource Groups (ERGs) to help build community among UT Dallas faculty and staff.
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