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Posting Number: S06369P

Department: Psychology

Salary Range: $61,008, DOQ

Pay Basis: Monthly

Position Status: Regular full-time

Job Description:

The Computational Neuropsychology and Affective Neuroscience Lab, directed by Dr. Stacie Warren, is seeking a Research Associate (Postdoctoral Fellow) eager to apply mathematical modeling to advance understanding of brain network representations, with a specific focus on the development and emergence of psychopathology. The successful candidate will contribute to the development and application of computational models that examine how brain and behavioral networks give rise to mental health disorders. This interdisciplinary research integrates approaches from network science, machine learning, and developmental neuroscience to uncover the patterns and mechanisms underlying psychopathology.

The Research Associate will be primarily responsible for planning, conducting, and overseeing a wide range of experimental research. In collaboration with Dr. Warren, the associate will play a key role in evaluating and interpreting research data. This position involves conducting experiments using advanced equipment and applying complex techniques, methods, and procedures. The associate will also plan and execute experimental details in accordance with established research protocols.

This position is housed in the Department of Psychology within the School of Behavioral and Brain Sciences at The University of Texas at Dallas ( UTD — bbs.utdallas.edu). UTD is the fastest-growing university in Texas and is ranked third in the nation among universities under 50 years old. The university supports a vibrant and collaborative research community. Located in the city of Dallas—an international economic hub—the area offers a rich cultural atmosphere, world-class sports and entertainment, and a temperate climate.

Salary for Postdoctoral Research Associates in BBS is based on years of experience according to current NIH ( NRSA ) stipend levels. Final compensation will be commensurate with experience and qualifications. This position is funded for one year, with the possibility of renewal contingent on performance and continued funding availability.

Minimum Qualifications:

Ph.D in a related field.

Preferred Education and Experience:

Preferred Education and Experience

+ Expertise in computational modeling and analysis of neuroimaging data, including proficiency with network science methodologies.

+ Demonstrated experience applying advanced statistical methods and machine learning techniques (e.g., network analysis, predictive modeling) to neuroscientific or psychological data.

+ Track record of peer-reviewed publications demonstrating interdisciplinary research, integrating computational neuroscience, psychopathology, or developmental perspectives.

Important Message:

1) All employees serve as a representative of the University and are expected to display respect, civility, professional courtesy, consideration of others and discretion in all interactions with members of the UT Dallas community and the general public.

2) The University of Texas at Dallas is committed to providing an educational, living, and working environment that is welcoming, respectful, and inclusive of all members of the university community. UT Dallas does not discriminate on the basis of race, color, religion, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, national origin, disability, genetic information, or veteran status in its services, programs, activities, employment, and education, including in admission and enrollment. The University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities. To request reasonable accommodation in the employment application and interview process, contact the ADA Coordinator ([email protected]) . For inquiries regarding nondiscrimination policies, contact the Title IX Coordinator ([email protected]) .