Assistant/Associate/Full Project Scientist - Neuroscience MR-Imaging - Feinberg Lab - Department of
Apply by this date to ensure full consideration by the committee. Final date: Tuesday, Jan 20, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date. Position description The Department of Neuroscience at the University of California, Berkeley seeks applications for Assistant/Associate/Full Project Scientists in the area of brain MR Imaging in the Feinberg Lab. The goal of the project supporting this position is to advance scientific discovery using the Next Generation (NexGen) 7T scanner, the most powerful 7T scanner in the world. The project supports the NexGen 7T scanner as a resource for the neuroscience research community to perform neuroimaging at the scale of cortical layers and columns. Towards this effort, the Project Scientists will participate and assist in leading NexGen 7T research projects. The positions are part of a collaborative team-building effort in the Feinberg Lab, combining expert scientists in hardware, software and neuroscientists. The Project Scientists will be expected to collaborate with academic and industrial partners, as well as mentor and train graduate and undergraduate students. The Project Scientists will also be expected to lead the development of novel imaging sequences and image reconstruction techniques to fully utilize the NexGen 7T scanner's high performance Impulse gradient system at 7T (200mT/m, 900 slew rate), 64 - 128 channel high-density receiver arrays, dynamic shim array, and 16 channel parallel transmit system. In addition to experimental research, general support duties include:
- Supporting project related pulse sequences and updating external users' sequence code to operate on the current NexGen 7T scanner platform.
- Manage QA of the RF coils and scanner peripherals
- Collaborate with industrial partners on the maintenance of scanner components
- Contribute to the maintenance of lab SOPs and scan protocols
- Data collection and storage management
- Data processing, analysis, and image reconstruction
- Preparation and submission of manuscripts
- Preparation and submission of grants
- Response to reviewers
- Presentation at conferences
- Attend weekly lab meetings and give regular presentation at these meetings
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 the area of Neuroscience, Bioengineering, Electrical Engineering, Physics, Computer Science etc. or a related field
• Demonstrated experience in high resolution functional and structural MR-imaging of the brain
• A track record of peer-reviewed publications and talks at conferences
• Demonstrated experience in MRI sequence programming
• Demonstrated experience in MRI reconstruction and parameter mapping
• Demonstrated experience in high field MR-imaging
• Demonstrated programming skills in C, C++, Python and MATLAB
• Demonstrated experience in MRI hardware engineering (e.g., RF systems & circuit design)
• Ability to communicate research to public and potential partners
• Experience in any subset of: MRI pulse sequence design, MRI parameter mapping, MRI Image reconstruction, or MRI RF system development. This position will require experience in high field, high resolution functional and structural MR-imaging of the brain. Application Requirements Document requirements
- Curriculum Vitae - Your most recently updated C.V.
- Cover Letter (Optional)
- Statement of Research (Optional)
- 3 required (contact information only)
- "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
- UC Sexual Violence and Sexual Harassment Policy
- UC Anti-Discrimination Policy
- APM - 035: Affirmative Action and Nondiscrimination in Employment
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