Assistant Professor in Quantitative Methods and Computational Psychology
Engineering Management Student Association (EMSA)
Los Angeles, CAFresher2h agovia LinkedIn
This job at a glance
- Who can apply
- New grads, no experience needed
- Must know
- Machine learning
- Work
- On-site in Los Angeles
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning43%of 99 similar entry-level jobs posted in the US this week
- Listed
- Oct 30, 2026 · still open
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About the Role
The Department of Psychology’s Quantitative Methods and Computational Psychology area within the Dornsife College of Letters, Arts and Sciences at the University of Southern California is seeking applicants for a tenure-track position at the rank of Assistant Professor. The appointment is expected to begin in August 2027.
Key Responsibilities
- Conduct research in quantitative and computational methods.
- Develop new quantitative approaches to address methodological challenges in psychological and behavioral research.
- Contribute to the department's diverse intellectual community.
Requirements & Tech Stack
- Strong research programs in quantitative and computational methods, broadly defined.
- Expertise in one or both of the following areas:
- Psychometrics / Measurement
- Machine Learning and Artificial Intelligence
- Broad application and expertise that complements other areas in the Psychology Department.
Qualifications
- Ph.D. completed.
- Excellent doctoral and/or post-doctoral record.
- Strong track record of publications.
- Potential to secure extramural funding.
- Ability to contribute to a diverse intellectual community.
Application Materials
- Cover letter
- Current CV
- Representative publications
- A list of three to five names who can provide letters of reference
- Separate statements describing research, teaching, and service.
Application Deadline
- Apply by December 1st for full consideration.
Contact Information
- For questions related to the search, please contact Richard John: [email protected]
Salary Range
- $115,000 - $139,125 (annual base salary)