Job Detail

4036
9/23/2025
10/12/2025
Assistant Professor
University of Colorado Boulder
Psychology and Neuroscience
Academic Positions: Assistant Professor
The Department of Psychology and Neuroscience at the University of Colorado Boulder (http://www.colorado.edu/psych-neuro/) invites applications for two tenure-track positions to begin Fall 2026. We seek faculty members with high level training, expertise, and teaching interest in undergraduate research methods and/or statistics courses as well as a proven track record of or high potential for the inclusion of undergraduate research assistants in their work.  
 
We prefer an individual whose substantive research area meaningfully engages with and contributes to the strengths of one of four graduate program areas: Social Psychology, Cognitive Psychology, Clinical Psychology, or Behavioral, Psychiatric, and Statistical Genetics (BPSG).  
 
The Social Psychology area seeks a faculty member whose research interests expand our strengths in social cognition, stereotyping and prejudice, health, social hierarchies, judgment and decision making, and/or person perception is preferred.  
 
The Cognitive Psychology and Cognitive Neuroscience area seeks a faculty member who adds to our strengths in language, executive functioning, learning and memory, and visual cognition. We particularly welcome applicants with expertise in cognitive modeling, statistical modeling, or computational modeling/neuroscience as applied to behavioral and/or neuroimaging (EEG, MRI, or fNIRS) data. 
 
The Clinical Area prefers a faculty member with expertise in neuropsychology and/or psychological assessment, especially as it applies to clinical psychology across the lifespan. Ideal candidates will conduct interdisciplinary research on clinically relevant neuropsychological topics and contribute to teaching in graduate psychological and intellectual assessment. 
 
The BPSG area seeks a faculty member specializing in quantitative genetics, which could include family-based or statistical genomic approaches. Ideal candidates will have expertise in neurodegeneration and aging; applicants with expertise outside these areas are still encouraged to apply. 
 
The teaching requirements for this position include our undergraduate research methods course and/or our undergraduate introductory statistics course, along with undergraduate and graduate content seminars, undergraduate lab and methods courses, or other classes in service to the department’s teaching mission. For this position, successful applicants should have an outstanding record of research achievement, evidence of or potential for extramural funding, and a strong commitment to undergraduate and graduate education. A Ph.D. in psychology, neuroscience, or cognitive science is strongly preferred.

 

Appointees will participate in the research and teaching missions of the Department and contribute service to the Department, University, and profession. This will include developing an externally funded, innovative, and impactful research program.  
 
The normal classroom teaching assignments will accord with Department policy. Faculty who are grant active typically teach two courses per academic year (one undergraduate and one graduate course). This position will specifically require teaching undergraduate statistics and/or research methods courses. Other specific courses and the course load will be determined in consultation with the Department Chair. The successful candidate will also be expected to supervise independent student research at both graduate and undergraduate levels.

 

To apply, please submit the following materials: 
  1. Cover Letter, which specifically addresses the job requirements and outlines qualifications
  2. Current Curriculum Vitae 
  3. Research Statement 
  4. Teaching Statement 
  5. Explicitly address the following in your materials: (1) your experience with or potential to teach undergraduate statistics and/or research methods classes, (2) your experience with or potential for the inclusion of undergraduate research assistants in your research, (3) how the content of your research would fit with the described interests of one of the graduate training programs, and (4) how your research, teaching, and/or service would contribute to the development of a diverse and inclusive learning community at the University of Colorado. Topic 4 can be integrated into your research and/or teaching statements as relevant. 
  6. 3 Sample Research Papers (There will be 3 file uploads listed below to upload each Research Paper individually). 
During the application process you will need to enter contact information for three references who may be contacted to provide letters of recommendation as the search progresses. 
 
All applications received by October 12, 2025 will receive full consideration; applications will be accepted until the position is filled. 
 
Note: Application materials will not be accepted via email. For consideration, please apply through CU Boulder Jobs.
 
If you have technical difficulties submitting application information, please contact recruiting@colorado.edu. All other job-related inquiries should be directed to Sadie Halnier at: 303-492-8708
 

In compliance with the Colorado Job Application Fairness Act, in any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
Tiffany Ito
303-492-5879
University of Colorado, Department of Psychology and Neuroscience
345 UCB
Boulder CO, 80309-0345
NOTE: The above information is provided by the employer. The Society for Personality and Social Psychology, Inc. does not verify the accuracy of these statements.