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Careers

Assistant Project Scientist – Goldman Lab

Assistant Project Scientist

The Department of Neurobiology, Physiology and Behavior, in the College of Biological Sciences, University of California, Davis, invites applications for an Assistant Project Scientist position (JPF04281) in the Goldman lab. 


POSITION DESCRIPTION:  

The Project Scientist makes significant and creative contributions to a research or creative project in her/his academic discipline. The appointee possesses the subject matter expertise and the creative energy necessary to function at a high level of competence. The appointee will participate in activities to increase, improve, or upgrade competency. Appointees with Project (e.g., Scientist) titles may engage in University and public service. They do not have teaching responsibilities. Although the Project Scientist is expected to work independently under the general guidance of an academic member with an independent research program (i.e., Professor, Professional Researcher, Specialist in Cooperative Extension, etc.), he/she is not required to develop an independent research program or reputation. He/she will carry out research or creative programs with supervision by an individual in an academic title that carries with it automatic Principal Investigator status. The Project Scientist does not usually serve as a Principal Investigator but may do so by exception.

I. RESEARCH IN SPECIALIZED AREAS (90% EFFORT)

 

Research activity

This position requires creative contributions and collaborative development of an active research program examining mechanisms underlying integration of inputs and maintenance of persistent neural activity. The primary goal of the research project is to develop and construct neural circuit models that help explain neural activity measured using optical imaging techniques along with synaptic connections identified using electron microscopy. The candidate will use advanced methods from statistics and machine learning to extract network features that are important to integration and use those features to construct models of oculomotor circuits. The candidate will simulate the models and will analyze them using analytical methods. Expertise with the literature on oculomotor circuits and functions is required.

The candidate is also required to devise new algorithms and statistical methods to analyze electrophysiological/optical neural recordings of biological preparations obtained from collaborators.

 

Publication

The candidate will present research results in conferences and publish research results in peer-reviewed journals, books, and other outlets either independently or in collaboration with the PIs or other members of the research team.

 

Grant Acquisition

The candidate will assist in acquiring proposals for funding from federal and state agencies and other funding organizations. The candidate will prepare and assist in the preparation of reports as required by granting agencies. The candidate will interact with funding agencies and prepare modifications of budgets and other grant components, as needed.

 

II. PROFESSIONAL COMPETENCE AND ACTIVITY (10% EFFORT)

The candidate will participate in professional societies and conferences appropriate to his/her specific field of neuroscience and may serve as a reviewer of research proposals and scientific publications as appropriate. The candidate will attend seminars to present research results and may give oral presentations to public and professional interest groups.

When appropriate, the candidate may coordinate and/or give presentations at seminars, laboratory meetings or educational functions.

 

 REQUIRED QUALIFICATIONS:  

Candidates must possess a PhD, have a research focus on computational neuroscience, and have 5 or more years of postdoctoral experience in computational modeling of neural circuits, Python/C++ programming and analytical calculations. Additional requirements include strong analytical and computational skills demonstrated by a strong publication record; ability to use advanced statistical or machine learning methods to extract network features for constructing models of oculomotor circuits; expertise with neural data analysis; and knowledge of the literature on oculomotor-related brain areas of the cerebellum and zebrafish. 

 
POSITION AVAILABLE/CLOSING DATE:

All application materials must be received by August 2, 2021 to be assured full consideration.

 
TO APPLY:

Applicants should submit materials online. Please include a curriculum vitae, a description of past research experience (up to 2 pages) and a personal statement including future research interests (if hired into this position) and career goals (up to 2 pages) and contact information for 3 references

 
QUESTIONS:

Please direct questions to Dr. Mark Goldman

The University of California 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. University of California nondiscrimination and affirmative action policy. Under Federal law, the University of California may employ only individuals who are legally able to work in the United States as established by providing documents as specified in the Immigration Reform and Control Act of 1986. Certain UCSC positions funded by federal contracts or sub-contracts require the selected candidate to pass an E-Verify check. More information is available USCIS E-Verify.  
 
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