UCB

Assistant/Associate Project Scientist - Computational Cognitive Neuroscience - Gallant Lab - Neuroscience Department

The University of California, Berkeley

College of Letters & Science - Biological SciencesPosted April 7, 2026Job ID: JPF05305

About this position

Position Overview

Salary range: The UC academic salary scales set the minimum pay determined by rank and step at appointment. See the following table(s) for the current salary scale(s) for this position: Table 37B. A reasonable full-time estimate for this position is $85,000–$102,500. Percent time: 100% Anticipated start: Spring 2026 Position duration: One year with the possibility of extension based on performance and availability of funding.

Application Window

Open date: March 14, 2026 Most recent review date:Sunday, Mar 29, 2026 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Wednesday, Apr 15, 2026 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Position Description

The Neuroscience Department at the University of California, Berkeley seeks applications for an Assistant/Associate Project Scientist in the Gallant Lab, in the area of computational cognitive neuroscience, with a focus on individual differences and clinical applications of neuroimaging methods. The Gallant Lab develops and applies computational models to understand how the human brain represents and processes complex perceptual and conceptual information. The lab’s ongoing research programs include investigation of individual differences in multimodal conceptual brain representations in both healthy individuals and patients. These projects involve large-scale neuroimaging data collection at 3T and 7T, computational modeling of brain responses using machine learning methods, and cross-institutional clinical collaborations. The successful candidate will contribute to these efforts, and will design and execute fMRI experiments, apply voxelwise encoding models, and develop novel computational methods to analyze the rich fMRI datasets collected in the lab. The position will contribute to four major areas: 1) designing, executing, and analyzing functional MRI experiments using naturalistic stimuli at both 3T and 7T; 2) developing and optimizing fMRI pulse sequences; 3) developing and applying computational methods and machine learning approaches to characterize individual differences in brain representations; 4) contributing to cross-institutional clinical neuroimaging research. Responsibilities also include authoring manuscripts for publication in peer-reviewed journals, presenting research at national and international conferences, contributing to grant proposals, mentoring graduate students and postdoctoral researchers in computational neuroimaging methods, developing and maintaining open-source scientific software for neuroimaging analysis, and coordinating multi-site data collection efforts. Lab: https://gallantlab.org/ Contract: https://ucnet.universityofcalifornia.edu/resources/employment-policies-contracts/bargaining-units/academic-researchers/contract/

Qualifications

Basic qualifications(required at time of application)PhD (or equivalent international degree) Additional qualifications(required at time of start)At least five years post PhD research experience Preferred qualifications-PhD in neuroscience, cognitive neuroscience, computational neuroscience, or a related quantitative field. -Demonstrated expertise in functional MRI data acquisition, preprocessing, and analysis, including experience with fMRI pulse sequence optimization. -Demonstrated expertise in machine learning methods. -Experience with clinical neuroimaging research, particularly in neurodegenerative diseases such as frontotemporal dementia or Alzheimer’s disease. -Strong publication record in peer-reviewed journals, including first-author publications in the areas of computational neuroscience, neuroimaging, or cognitive neuroscience. -Proficiency in Python programming for scientific computing, including experience developing and maintaining open-source neuroimaging software. -Experience mentoring graduate students or postdoctoral researchers in computational neuroimaging methods.

Application Requirements

Document requirementsCurriculum Vitae - Your most recently updated C.V. Cover Letter Reference requirements 3 required (contact information only) Apply link:https://aprecruit.berkeley.edu/JPF05305 Help contact:gallant@berkeley.edu

Job Location

Berkeley, CA Apply now to Assistant/Associate Project Scientist - Computational Cognitive Neuroscience - Gallant Lab - Neuroscience Department or Log in to your portfolio Need help? Contact the hiring department. The University of California, Berkeley is an Equal Opportunity/Affirmative Action Employer. You have the right to an equal employment opportunity. The University of California, Berkeley is committed to providing reasonable accommodations to applicants with disabilities. See our Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act Annual Security Reports Academic Personnel Recruit University of California, Berkeley Accessibility About California Consumer Privacy Act (CCPA) Opt-Out IconPrivacy Policy © 2007-2026 The Regents of the University of California. All rights reserved.