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Assistant Professor Computational Neuroscience Jobs

University of Colorado

Assistant Professor

Aurora, CO · On-site

The Department of Physiology and Biophysics at the University of Colorado School of Medicine is seeking to hire a computational neuroscientist to fill an Assistant Professor-rank tenure-eligible ...

American Society for Experimental Neurotherapeutics

Recruitment is focused on exceptional investigators at the advanced assistant professor or ... Expertise in computational modeling, machine learning, predictive analytics, biomarker development ...

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Assistant Professor Computational Neuroscience information

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$42.5K

$80.1K

$135K

How much do assistant professor computational neuroscience jobs pay per year?

As of Sep 13, 2026, the average yearly pay for assistant professor computational neuroscience in the United States is $80,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $91,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Assistant Professor Computational Neuroscience jobs?

For Assistant Professor Computational Neuroscience jobs, the most frequently searched job titles are:

Infographic showing various Assistant Professor Computational Neuroscience job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $80,057 per year, or $38.5 per hour.

Assistant Professor - Computational Neuroscience - Department of Neuroscience

Berkeley, CA • On-site

University of California
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Posted 11 days ago

University Of California rating

8.7

Company rating: 8.7 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

Job description

The Department of Neuroscience at the University of California, Berkeley (UCB) invites applications for a tenure-track faculty position in Computational Neuroscience at the Assistant Professor level.

We seek applicants studying fundamental questions within the areas of Computational Neuroscience broadly defined. Example areas of interest include, but are not limited to, neural data analytics, neural circuit modeling, mathematical models of perception/memory/cognition/motor production, statistical modeling and machine learning approaches for neural data mining and brain modeling, theoretical neuroscience and biological intelligence. Track record of collaborations with experimental labs and synergy with research in our department will also be considered.

Neuroscience faculty at the assistant rank demonstrate excellence, originality, and productivity in research, the strong potential to obtain external funding, a capacity for excellence in teaching and mentoring of undergraduates, graduate students, and postdocs, and a commitment to service consistent with Berkeley's principles of community. Applicants are encouraged to visit (Home | Berkeley Neuroscience) to learn more about the Department and our mission.

The Department is committed to addressing the family needs of faculty, including dual career couples and single parents. We are also interested in candidates who have had non-traditional career paths or who have taken time off for family reasons, or who have achieved excellence in careers outside academia. For information about potential relocation to Berkeley, or career needs of accompanying partners and spouses, please visit: (New Senate Faculty | Office for Faculty Equity & Welfare)

PhD, MD or equivalent international degree

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