Job Description
Postdoctoral Scholar - Neuro Imaging - Helen Wills Neuroscience Institute - Feinberg Lab Position overview Salary range: The UC postdoc salary scales set the minimum pay determined by experience level at appointment. See the following table(s) for the current salary scale(s) for this position: . The current minimum salary range for this position is $64,480 - $71,908 a year. Salaries above the minimum may be offered when necessary to meet competitive conditions.
Percent time: 100%
Anticipated start: 2023/2024
Position duration: Initial appointment is for 2 years with a possibility of renewal based on performance and availability of funding
Application Window Open date: November 6, 2023
Most recent review date: Monday, Nov 20, 2023 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: Friday, Dec 15, 2023 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 Helen Wills Neuroscience Institute at the University of California, Berkeley seeks applications for a Postdoctoral Scholar in the area of Neuro Imaging. The goal of the project supporting this position is to disseminate the Next Generation (NexGen) 7T scanner as a resource for the neuroscience research community and to facilitate neuroimaging at the scale of cortical layers and columns.
Responsibilities:
The Postdoctoral Scholar will work to develop new studies of brain circuitry are available at the Brain Imaging Center of University of California, Berkeley for a project funded by the prestigious NIH BRAIN Initiative. This project is to disseminate the Next Generation (NexGen) 7T scanner as a resource for the neuroscience research community, to facilitate neuroimaging at the scale of cortical layers and columns. The applicant will develop imaging techniques on the scanner to reach ultra-high spatial resolution in functional MRI, diffusion, and structural neuroimaging, and assist in porting new sequences to the scanner. Applicants should be highly motivated, with a desire to pioneer new areas of human neuroscience.
The applicant will work to develop novel pulse sequences and accelerated image reconstructions to achieve state-of-art, ultra-high-resolution imaging and speed for physiological and ultra-high-resolution fMRI with 2D and 3D EPI, GRASE and VASO sequences. They will be in all related meetings, and contribute to educational workshops, write papers and present results at national or international scientific meetings. They will assist with operating the scanner for users, and with training and educating users about the NexGen scanner, MRI safety, and use of associated peripherals (e.g. video projector or physiological recordings). The NexGen 7T MRI scanner is the most advanced technologically for developing advanced brain imaging pulse sequences. It has the Impulse head gradient (20 mT/m, 900 T/m/s), a 128 channel receiver system the highest on 7T scanner and a 16 channel receiver system.
Qualifications Basic qualifications (required at time of application)
- PhD (or equivalent international degree) or enrolled in a PhD degree program (or equivalent international degree) at the time of application. Additional qualifications (required at time of start)
- PhD (or equivalent international degree). The candidate should have no more than three years of post-degree research experience by start date Preferred qualifications
PhD (Physics, Bioengineering, Computer Science, or a related research field)
Two years of experience as a Research Scientist, Post-doctoral Researcher, or similar in the field of physics, computer science or a related research field
Demonstrated skills in MR pulse sequence programming, image computation, accelerated reconstruction, MATLAB and C/C++
Demonstrated experience writing papers for publication and presenting work at scientific conferences.
Exceptional written and oral English communication skills
Excellent analytical and problem-solving skills
A background in MR neuroimaging techniques, particularly at high-fields (7T and above). Application Requirements Document requirements - Curriculum Vitae - Your most recently updated C.V.
- Cover Letter
Reference requirements
- 2-4 required (contact information only)
Apply link: Help contact: KNICHOLS@BERKELEY.EDU About UC Berkeley UC Berkeley is committed to diversity, equity, inclusion, and belonging. The excellence of the institution requires an environment in which the diverse community of faculty, students, and staff are welcome and included. Successful candidates will demonstrate knowledge and skill related to ensuring equity and inclusion in the activities of their academic position (e.g., teaching, research, and service, as applicable). The University of California, Berkeley is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy see: In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter. As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. Job location
Berkeley, CA To apply, visit Copyright 2022 Jobelephant.com Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-d819cbc2015efb4fa45cd97a32b151ea
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