Post-Doctoral Research Associate

The University of Texas at Dallas; Richardson (TX); On-site; USD 70,000 - 81,000; Full time

Job summary

The University of Texas at Dallas seeks a Post-Doctoral Research Associate in the Computational Neuropsychology Lab. The role focuses on applying computational models to understand brain networks and psychopathology, involving experimental research and collaboration with interdisciplinary teams.

Benefits

Tuition Benefits

Medical Insurance

Dental Insurance

Vision Insurance

Paid Time Off

Paid Holidays

Qualifications

• Ph.D in a related field required.
• Expertise in computational modeling and neuroimaging data.

Responsibilities

• Conduct experiments using advanced equipment and techniques.
• Lead analyses using large-scale neuroimaging and behavioral datasets.

Skills

Computational Modeling

Statistical Methods

Machine Learning

Neuroimaging Data Analysis

Programming

Education

Ph.D in a related field

Tools

Python

MATLAB

R

Job description

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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 Education And Experience

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.
  
  

Essential Duties And Responsibilities

Duties & Responsibilities Research and Innovation

• Design and conduct empirical studies that integrate computational modeling, network science, and developmental neuroscience to investigate the emergence and progression of psychopathology.
• Develop novel computational tools, algorithms, and analytic pipelines to characterize brain network representations underlying mental health disorders.
  
  

Data Analysis and Modeling

• Lead analyses using large-scale neuroimaging, behavioral, and longitudinal datasets to examine brain-behavior relationships relevant to psychopathology.
• Apply advanced statistical techniques, computational modeling, network analysis, and machine learning to identify patterns and mechanisms linked to the onset and progression of mental health conditions.
  
  

Collaboration and Mentorship

• Collaborate closely with an interdisciplinary team of researchers, students, and external partners.
• Mentor graduate and undergraduate students in computational neuropsychology, promoting intellectual curiosity, methodological rigor, and interdisciplinary engagement.
  
  

Scholarly Dissemination

• Publish research findings in high-impact academic journals and present at national and international conferences.
• Communicate complex computational models and neuroscientific findings to audiences, bridging quantitative methods with theoretical frameworks in psychopathology research.
  
  

Essential Knowledge, Skills & Abilities

• Ability to work independently, collaborate within interdisciplinary teams, and mentor students in computational methods.
• Knowledge of psychopathology and developmental neuroscience.
• Proficiency in programming languages commonly used in computational neuroscience (e.g., Python, MATLAB, R).
  
  

Additional Information

Remote Work:

This position is on-site and in-person only.

Travel: This position may be subject to travel for training/development, conferences, or other project needs.

What We Can Offer

UT Dallas is an Equal Opportunity Employer. We offer an employee-friendly work environment with a comprehensive benefits package including:

Competitive Salary

Tuition Benefits

Internal Training

Medical insurance – including 100% paid employee medical coverage for full-time employees

Dental Insurance

Vision Insurance

Long and short-term disability

Retirement Plan Options

Paid time off

Paid Holidays All UT Dallas employees have access to various professional development opportunities, including a membership to Academic Impressions, LinkedIn Learning, and UT Dallas Bright Leaders Program.

Visit https://hr.utdallas.edu/employees/benefits/ for more information.

Important Message

• 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.
• 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. For inquiries regarding nondiscrimination policies, contact the Title IX Coordinator.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  Higher Education

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