The Department of Psychology at The University of Texas at Austin invites applications for a tenure-track Assistant Professor to begin Fall of academic year 2026-27.
We seek a productive scholar with expertise in the application of computational data-science and/or AI methods as applied to human data from one of many domains (e.g. memory attention emotion language social behavior). The ideal candidate will develop an active independent research program that generates rich behavioral and/or brain data and leverages sophisticated computational approaches to advance understanding of human behavior in healthy and/or clinical populations.
The department boasts a vibrant and interactive faculty with interests in applying an array of cutting-edge methods to understanding behavior across the lifespan. This critical mass of expertise is well-situated to provide early career mentorship and collaborative opportunities. Department faculty have access to the leading supercomputer center in the country (Texas Advanced Computing Center TACC) a Siemens Prisma 3T scanner and rich collaborative opportunities across Computer Science Neuroscience Psychiatry Neurology Neurosurgery and Engineering among other units. As well the Department recently launched a new college-wide major in Behavioral and Social Data Science (BSDS) the first undergraduate degree program in the country devoted to producing data-science-ready graduates with a solid understanding of human psychology.
Duties will include developing an independent sponsored research program collaborating with other faculty from a wide range of backgrounds mentoring and teaching graduate and undergraduate students and serving the department university and profession.
Applicants must have completed all the requirements for the PhD by time of appointment or they must expect to obtain the PhD within a year of joining the faculty as Instructor. Preferred qualifications include a record of postdoctoral research; a clearly defined research agenda directed at human behavior with expertise in the application of computational data-science and/or AI methods in any area of human psychology; and demonstrated commitment to teaching and mentoring excellence.
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