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Computational Neuroscience Jobs in Michigan (NOW HIRING)

Postdoctoral Fellow

Grand Rapids, MI · On-site

$47K - $63K/yr

D./Ph.D. in Neuroscience, Cell Biology, or a related field * Strong record of rigorous and ... Computational or bioinformatics approaches How to Apply Please submit a single PDF including:

Computational Neuroscience information

See Michigan salary details

$35

$47

$64

How much do computational neuroscience jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for computational neuroscience in Michigan is $47.87, according to ZipRecruiter salary data. Most workers in this role earn between $40.87 and $64.13 per hour, depending on experience, location, and employer.

What is computational neuroscience?

Computational neuroscience involves studying brain function through computer modeling and mathematical analysis. Computational neuroscientists perform research in which they collect data and create computer models based on the electrical patterns and biological functions of the brain. Researchers in this field may focus on making connections between brain functions and cognition, sensory experience, or the behavior of the central nervous system. They may use computer models and data to create theoretical models. Other scientists may test the models to see if they have biological or psychological applications.

What is computational neuroscience?

Computational neuroscience is an interdisciplinary field that uses mathematical models, computer simulations, and theoretical analysis to understand how the brain processes information. Researchers in this field aim to explain neural phenomena by modeling the functions of neurons, neural circuits, and overall brain systems. By combining principles from neuroscience, computer science, physics, and mathematics, computational neuroscience helps bridge the gap between biological data and theoretical understanding, ultimately advancing our knowledge of brain function and cognition.

What are the key skills and qualifications needed to thrive as a computational neuroscientist, and why are they important?

To thrive as a Computational Neuroscientist, you need a strong background in neuroscience, mathematics, and computer science, often supported by an advanced degree (PhD or MSc) in a related field. Proficiency with programming languages (such as Python or MATLAB), computational modeling software, and data analysis tools is typically required. Critical thinking, problem-solving, and effective collaboration are standout soft skills in this interdisciplinary field. These skills and qualities enable the development and interpretation of complex brain models, driving scientific discovery and innovation in neuroscience.

What are some common challenges faced by professionals in computational neuroscience, and how can they be addressed?

Professionals in computational neuroscience often encounter challenges such as integrating diverse data types (e.g., electrophysiological, imaging, and behavioral data) and keeping up with rapidly evolving computational tools and methods. Collaborating closely with experimental neuroscientists and computer scientists is essential to bridge knowledge gaps and ensure robust model development. Continuous learning through workshops, conferences, and online courses can help professionals stay current with new techniques and best practices in the field.

What is the difference between Computational Neuroscience vs Neuroscientist?

AspectComputational NeuroscienceNeuroscientist
Required CredentialsAdvanced degrees in neuroscience, computer science, or related fieldsTypically PhD in neuroscience or related disciplines
Work EnvironmentResearch labs, universities, tech companies focusing on modeling and data analysisResearch institutions, hospitals, universities studying brain function
Industry UsageDevelops models, algorithms, and simulations of neural systemsInvestigates brain mechanisms, conducts experiments, publishes research

Computational Neuroscience focuses on creating models and simulations of neural systems using computational methods, while Neuroscientists primarily conduct experimental research to understand brain function. Both roles often collaborate but differ in their approach and tools used.

How do you become a computational neuroscientist?

To become a computational neuroscientist, one typically earns a bachelor's degree in neuroscience, computer science, or a related field, followed by a master's or Ph.D. in computational neuroscience, neuroscience, or a quantitative discipline. Developing skills in programming, data analysis, and mathematical modeling, along with experience using tools like MATLAB or Python, is essential for research and analysis in this field.

What does computational neuroscience do?

Computational neuroscience is a field where professionals develop mathematical models and computer simulations to understand how the brain processes information, learns, and adapts. They often use programming skills and neurobiological data to analyze neural systems and contribute to advancements in neuroscience research and brain-inspired technologies.

What are the most commonly searched types of Computational Neuroscience jobs in Michigan?

The most popular types of Computational Neuroscience jobs in Michigan are:

What are popular job titles related to Computational Neuroscience jobs in Michigan?

For Computational Neuroscience jobs in Michigan, the most frequently searched job titles are:

What cities in Michigan are hiring for Computational Neuroscience jobs?

Cities in Michigan with the most Computational Neuroscience job openings:

Infographic showing various Computational Neuroscience job openings in Michigan as of August 2026, with employment types broken down into 1% Internship, 54% Full Time, 40% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 50% Physical, 2% Hybrid, and 48% Remote job distribution, with an average salary of $99,579 per year, or $47.9 per hour.

Tenure Track Faculty - Neuroscience 2026-2027

Michigan Medicine

Ann Arbor, MI • On-site

Full-time

Posted 4 days ago


Michigan Medicine rating

7.5

Company rating: 7.5 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

261st of 1,066 rated hospitals


Job description

Description
The Michigan Neuroscience Institute (MNI) at the University of Michigan invites applications for tenure-track faculty positions at the Assistant Professor rank; highly qualified applicants at other ranks will also be considered.
We seek outstanding neuroscientists who apply genome- or brain-wide experimental and/or computational methods to address the complexity of the brain at high spatial or temporal resolution in any model system. We are especially interested in candidates developing or applying artificial intelligence and/or experimentally addressing human brain function or disease. Depending on scientific focus, the successful candidate's research program may be housed within the state-of-the-art NeuroInnovation Center at the North Campus Research Complex (NCRC) or within other research units on the U-M campus.
About the Michigan Neuroscience Institute
The Michigan Neuroscience Institute is a newly expanded cross-campus institute that catalyzes interdisciplinary neuroscience research across 180 labs, 32 departments, and 7 schools at the University of Michigan. Our mission is to leverage advances across all fields of science and engineering to solve the mysteries of the brain and apply those discoveries to advance human health. MNI (https://medicine.umich.edu/dept/michigan-neuroscience-institute) is located in Ann Arbor, Michigan-a vibrant city consistently ranked among the best places to live in the United States, offering exceptional culture, schools, and quality of life.
Qualifications
Applicants must hold a PhD and/or MD degree and demonstrate a strong, sustained record of research accomplishment.
Application Instructions
To apply, please submit the following materials electronically via Interfolio at https://apply.interfolio.com/192977:
  • Cover Letter: Including contact information for three professional references.
  • Curriculum Vitae: Full listing of academic accomplishments.
  • Research Statement (3 pages max): Describing past, current, and future research plans, specifically highlighting potential interdisciplinary collaborations within MNI.

Teaching commitments will depend on the candidate's academic home department.
Applications received before November 1, 2026, will receive full consideration. Please direct questions to MNI.Neuroscience.Applications@med.umich.edu.
Background Screening
Michigan Medicine conducts background screening and pre-employment drug testing on job candidates upon acceptance of a contingent job offer in compliance with the Fair Credit Reporting Act. Pre-employment drug testing applies to all selected candidates, including new appointments and transfers from other U-M campuses.

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