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Assistant Professor Neuroscience Machine Learning Jobs

Animal Behavior Society

Assistant Professor

Amherst, MA · On-site

$79K - $124K/yr

... and/or machine learning to answer fundamental questions related to the mechanisms that drive ... neurobiology, and genetics. Faculty members in the biology department train graduate students ...

Voices for Voices

$72K - $77K/yr

Title Assistant Professor, Psychology (Neuroscience) Area College of Arts and Sciences Department ... learning environments for undergraduate students, and we are seeking a colleague who shares that ...

Istss

$72K - $77K/yr

Title Assistant Professor, Psychology (Neuroscience) Area College of Arts and Sciences Department ... learning environments for undergraduate students, and we are seeking a colleague who shares that ...

University of Colorado

Assistant Professor

Aurora, CO · On-site

Extra-departmental interactions within neuroscience and physiology, including basic science and ... a machine shop (medschool.cuanschutz.edu/neurotechnologycenter). Why work for the University? We ...

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Assistant Professor Neuroscience Machine Learning information

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$42.5K

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How much do assistant professor neuroscience machine learning jobs pay per year?

As of Sep 13, 2026, the average yearly pay for assistant professor neuroscience machine learning 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 does an assistant professor in neuroscience and machine learning do?

An Assistant Professor in Neuroscience and Machine Learning is a faculty member at a university who conducts research at the intersection of neuroscience and machine learning. Their work often involves developing computational models to understand brain function, analyzing neural data, and applying machine learning techniques to neuroscience problems. In addition to research, they typically teach undergraduate and graduate courses, mentor students, and contribute to academic service within their department. This role requires both expertise in neuroscience and advanced skills in data science or artificial intelligence.

What are the key skills and qualifications needed to thrive as an assistant professor in neuroscience and machine learning?

To excel as an Assistant Professor in Neuroscience and Machine Learning, you generally need a PhD in neuroscience, computer science, or a related field with a strong research record in computational neuroscience or machine learning. Familiarity with programming languages like Python or MATLAB, experience with neural data analysis tools, and knowledge of machine learning frameworks such as TensorFlow or PyTorch are typically required. Outstanding candidates also demonstrate strong communication, mentorship, and collaboration skills to engage students and foster productive research environments. These competencies are crucial for advancing research, securing funding, and providing high-quality teaching and mentorship in this interdisciplinary role.

What are some common challenges faced by assistant professors working at the intersection of neuroscience and machine learning?

Assistant Professors in neuroscience and machine learning often face the challenge of balancing research, teaching, and administrative responsibilities. Navigating interdisciplinary collaboration can be complex, as it requires fluency in both neuroscience principles and advanced computational methods. Additionally, securing funding for innovative, cross-disciplinary projects and staying current with rapidly evolving technologies are frequent hurdles. However, these challenges also present opportunities for impactful research and professional growth within a supportive academic environment.

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

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

Infographic showing various Assistant Professor Neuroscience Machine Learning job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $80,057 per year, or $38.5 per hour.

Faculty Professor

Albuquerque, NM • On-site

Lovelace Biomedical Research Institute
Pharmaceutical and Medicine Manufacturing • 501 - 1,000 employees
Learn more about Lovelace Biomedical Research Instituteexternal

Full-time

Re-posted yesterday

Lovelace Biomedical rating

8.7

Company rating: 8.7 out of 10

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Job description

Overview
The Mind Research Network (MRN), in partnership with Lovelace Biomedical Research Institute (LBRI), invites applications for a faculty position in translational neuroscience. The successful candidate will join a team of outstanding investigators who are eager to shape the future of translational neuroscience through collaborative, high-impact research that advances the understanding, diagnosis, prevention, and treatment of brain and behavioral disorders.
Recruitment is focused on exceptional investigators at the advanced assistant professor or associate professor level, although appointment and rank will be commensurate with qualifications and experience.
This recruitment coincides with the installation of a new MEGIN TRIUX™ neo magnetoencephalography (MEG) system, further expanding MRN's world-class neuroimaging capabilities. The TRIUX™ neo complements MRN's research-dedicated Siemens Prisma 3T MRI, research-dedicated mobile MRI program, and advanced neuro-informatics resources, creating an exceptional environment for innovative, multimodal translational neuroscience research.
We seek an innovative, collaborative investigator with an established or emerging independent research program who will leverage MRN's advanced neuroimaging infrastructure, multidisciplinary research community, and strategic partnerships to build a nationally recognized translational neuroscience program.
The successful candidate will join a highly collaborative scientific community where research spans advanced neuroimaging, computational neuroscience, biomarker discovery, mechanistic neuroscience, clinical investigation, and nonclinical model systems. Close collaborations across MRN, Lovelace Biomedical Research Institute, and the University of New Mexico create unique opportunities to integrate human neuroimaging with mechanistic studies, biomarker discovery, and clinical research while developing innovative, high-impact collaborative programs.
Research Areas of Interest
Candidates research should use multimodal neuroimaging-including MEG and/or MRI to investigate:
  • Neurodevelopment and brain maturation
  • Sleep, circadian rhythms, and brain health
  • Psychiatric and behavioral neuroscience
  • Translational neuroscience, including human neuroimaging, clinical investigation, and mechanistic or nonclinical model systems
  • Predictive biomarkers and precision neuroscience
  • Computational neuroscience, neuro-informatics, and machine learning

Researchers working in related areas that leverage advanced neuroimaging, computational methods, mobile MRI, or multidisciplinary collaborations are also encouraged to apply.
A Unique Research Setting
Albuquerque offers access to diverse urban, rural, tribal, and underserved populations, supporting innovative community-engaged, longitudinal, and translational neuroscience research while providing an exceptional quality of life.
Qualifications
  • Ph.D., M.D., or equivalent doctoral degree in Neuroscience, Psychology, Psychiatry, Neurology, Developmental Neurobiology, Biomedical Engineering, Cognitive Science, Public Health, or a related field and 12+ years of experience or an equivalent combination of education, training and/or experience from which comparable knowledge, skills and abilities have been attained. Must have 4 to 7 years of experience at the Associate Professor level as well as experience with external grant funding, publishing and national recognition.
  • Demonstrated success obtaining competitive extramural funding with a strong trajectory toward sustained federal support. Active federal funding is Required.

Preferred/Additional Qualifications
  • Experience conducting multimodal neuroimaging research utilizing MRI, MEG, EEG, or related methodologies
  • Experience with longitudinal cohorts, developmental or clinical populations, community-based research, or large-scale datasets
  • Expertise in computational modeling, machine learning, predictive analytics, biomarker development, or translational neuroscience

Physical Requirements
Work is performed in a dry laboratory environment. Will operate standard office equipment and will frequently stand, walk, sit, perform desk-based computer tasks, use a telephone, perform repetitive motions and occasionally lift objects that weigh up to 20 pounds. May interact with research participants.
The above is intended to describe the general requirements for the position and should not be interpreted as an exhaustive statement of physical requirements. The Institute will provide reasonable accommodation to any employee with a disability who requires an accommodation to perform the essential functions of the position.
Salary
Salary is commensurate with experience.
Lovelace Biomedical is an Equal Opportunity Employer

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