Assistant​/Associate​/Project Scientist - Neuroscience MR-Imaging - Feinberg Lab

Assistant/Associate/Full Project Scientist - Neuroscience MR‑Imaging – Feinberg Lab – Department of Neuroscience Position overview

Salary range: UC academic salary scales set the minimum pay determined by rank and step  current base salary range for this position is $89,000 – $145,700. Off‑scale salaries may be offered when necessary to meet competitive conditions.

Percent time: 100%
Anticipated start:
Fall 2025/Winter 2026
Position duration:
One year with the possibility of extension based on performance and availability of funding.

Open date:
December 19, 2025
Next review date:
Sunday, Jan 4, 2026 at 11:59 pm (Pacific Time)
Final date:
Tuesday, Jan 20, 2026 at 11:59 pm (Pacific Time)
Applications will be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Department of Neuroscience at the University of California, Berkeley seeks applications for Assistant/Associate/Full Project Scientists in brain MR imaging in the Feinberg Lab. The goal is to advance scientific discovery using the Next Generation (Nex Gen) 7T scanner, the most powerful 7T scanner in the world. The project supports the Nex Gen 7T scanner as a resource for the neuroscience research community to perform neuroimaging at the scale of cortical layers and columns.

Project Scientists will collaborate and assist in leading Nex Gen 7T research projects within a team that combines hardware, software and neuroscience expertise.

Project Scientists will be expected to collaborate with academic and industrial partners, mentor and train graduate and undergraduate students, and lead the development of novel imaging sequences and image reconstruction techniques to fully utilize the Nex Gen 7T scanner’s high performance impulse gradient system at 7T (200 mT/m, 900 slew rate), 64‑128 channel high‑density receiver arrays, dynamic shim array, and 16‑channel parallel transmit system.

• Support project‑related pulse sequences and update external users’ sequence code for the current Nex Gen 7T scanner platform.
• Manage quality assurance of the RF coils and scanner peripherals.
• Collaborate with industrial partners on maintenance of scanner components.
• Contribute to maintenance of lab SOPs and scan protocols.
• Data collection, storage management, processing, analysis, and image reconstruction.

• Prepare and submit manuscripts.
• Prepare and submit grants.
• Respond to reviewers.
• Present at conferences.
• Attend weekly lab meetings and give regular presentations at these meetings.

Basic qualifications (required at time of application)

PhD (or equivalent international degree)

Additional qualifications (required at time of start)

At least 5 years post‑PhD research experience

Preferred qualifications

• PhD (or equivalent international degree) in Neuroscience, Bioengineering, Electrical Engineering, Physics, Computer Science or a related field.
• Demonstrated experience in high‑resolution functional and structural MR‑imaging of the brain.
• Track record of peer‑reviewed publications and talks at conferences.
• Experience in MRI sequence programming, reconstruction and parameter mapping.
• Experience in high‑field MR‑imaging.
• Programming skills in C, C++, Python and MATLAB.
• Experience in MRI hardware engineering (e.g., RF systems & circuit design).
• Ability to communicate research to public and potential partners.
• Experience in MRI pulse sequence design, MRI parameter mapping, MRI image reconstruction or MRI RF system development.

Document requirements

• Curriculum Vitae – most recently updated C.V.
• Cover Letter – optional
• Statement of Research – optional

Reference requirements – 3 required (contact information only)

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1‑d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation and our deep commitment to contributing to a better…