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Assistant Professor Neuroscience Machine Learning Jobs

The University of Massachusetts Amherst

$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 ...

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Assistant Professor Neuroscience Machine Learning information

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$42.5K

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$135K

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.

Assistant Professor in Technology

Bowie, MD • On-site

Bowie State University
Colleges, Universities, and Professional Schools • 11 - 50 employees
Learn more about Bowie State Universityexternal

Full-time

Re-posted 22 days ago

Job description

Posting Details
Job Posting Information
Posting Number
F164
Position Title
Assistant Professor in Technology
Rank
Assistant Professor 9115
Regular (PIN) or Long Term Contractual Faculty
Regular
Desired Start Date
Open Date
11/11/2022
Close Date
Open Until Filled
Yes
Duties and Responsibilities
The Department of Technology & Security is seeking excellent candidate for a tenure track position for the Assistant Professor Rank. The successful candidate will provide instruction to undergraduate and graduate level students in internet of Things and Internet Technology courses. Candidate must be ready to be an active participant in departmental. Our student-focused department requires a candidate with strong commitment to excellence in teaching and coordination, as well as a great appreciation for experiential learning to support our current models for high-impact practice in undergraduate STEM education. The candidate should:
  • Provide instruction in Cloud Computing, Artificial Intelligent, Blockchain, Data Analytics and Machine Learning for both undergraduate and graduate courses and related advanced level electives with a strong commitment to curriculum transformation and excellence in teaching.
  • Work with faculty to establish a productive, student-centered, undergraduate and graduate research program in the area of Internet of Things and Internet Technology. Incorporate experiential learning activities into research program.
  • Active participant in scholarly activities, serve as a mentor to students and provide departmental, university and community service.

Conditions of Employment
Offer of employment is contingent upon successful completion of due diligence background check and verification of credentials. Proof of US citizenship or eligibility for U.S. employment will be required prior to employment (Immigration Control Act of 1986).
Please be advised, COVID-19 vaccinations are not required but encouraged for all eligible students, faculty and staff returning to USM institutions. This protocol is subject to change.
Experience
For best consideration please apply by December 18, 2022.
Postdoctoral experience in Bioinformatics, and or Computational Genomics. Experience teaching Introductory as well as advanced Bioinformatics Programming (Python and R) courses in the field, is preferred.
Education
Terminal degree in Computer Science, Business or related field(s).
Knowledge Skills and Abilities
  • Strong research profile in Artificial Intelligence, Machine Learning, Data Analytics and Cloud computing, with a skills in AWS, various statistical packages and Big Data such as R, Python, Matlab, Hadoop, Map Reduce as shown by referred publications and articles.
  • Excellent communication and interpersonal skills, and demonstrated ability to work in teams.
  • Capable of establishing collaborative research programs involving undergraduate students. Evidence of experience spearheading or participating in experiential learning models a plus.
  • Experience working with various stakeholders, such as students, faculty, staff, and administrators.
  • Experience working with underrepresented minorities in STEM.

Minimum Qualifications
Posting Detail Information
Special Instructions to Applicant

Apply