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Machine Learning Neuroscience Jobs in Maryland (NOW HIRING)

... intelligence / machine learning, quantum science, and human-machine teaming. Researchers ... Master's or PhD in human factors psychology, experimental psychology, cognitive neuroscience, or ...

The Laboratory for MicroTechnologies and the Neurobiology Lab at the University of Maryland are ... machine learning to identify odorant signatures. The position provides the opportunity for ...

Machine Learning Neuroscience information

See Maryland salary details

$24.7K

$41.3K

$85.4K

How much do machine learning neuroscience jobs pay per year?

As of Aug 22, 2026, the average yearly pay for machine learning neuroscience in Maryland is $41,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,500.00 and $44,600.00 per year, depending on experience, location, and employer.

What is a machine learning neuroscience?

A Machine Learning Neuroscience job involves using machine learning techniques to analyze and model neural data, helping to understand brain function or improve neurotechnology. Professionals in this field work at the intersection of artificial intelligence, neuroscience, and data science, often developing algorithms to interpret neural signals or enhance brain-computer interfaces. Roles can be found in academia, healthcare, and tech industries, contributing to research, diagnosis, or neuroadaptive systems. Strong skills in programming, statistics, and neuroscience fundamentals are typically required.

What are the typical daily tasks and team dynamics for someone working in a machine learning neuroscience role?

In a Machine Learning Neuroscience position, your daily activities might include designing and running algorithms on neurological datasets, interpreting results, refining models, and collaborating with neuroscientists and clinicians. You’ll often work closely with cross-functional teams, contributing technical expertise to research studies or healthcare projects. Regular team meetings, data discussions, and collaborative problem-solving are a central part of the work environment. This collaborative structure fosters innovative ideas and ensures that machine learning approaches are well-suited to real-world neuroscience challenges.

What are the key skills and qualifications needed to thrive in the machine learning neuroscience position, and why are they important?

To thrive in a Machine Learning Neuroscience role, you need a solid background in neuroscience, advanced machine learning methods, statistical analysis, and preferably a graduate degree in a related field. Experience using programming languages such as Python or MATLAB, along with tools like TensorFlow, PyTorch, and neuroimaging platforms, is highly desirable. Strong analytical thinking, effective communication, and the ability to work collaboratively across interdisciplinary teams are vital soft skills. These competencies enable professionals to develop impactful models, interpret complex brain data, and drive innovative research or clinical applications in neuroscience.

Is machine learning used in neuroscience?

Machine learning neuroscience involves applying machine learning techniques to analyze neural data, model brain functions, and develop brain-computer interfaces. Professionals in this field use tools like neural networks, deep learning, and statistical models to interpret complex biological signals and advance understanding of the nervous system.

What are the most commonly searched types of Machine Learning Neuroscience jobs in Maryland?

The most popular types of Machine Learning Neuroscience jobs in Maryland are:

What job categories do people searching Machine Learning Neuroscience jobs in Maryland look for?

The top searched job categories for Machine Learning Neuroscience jobs in Maryland are:

Infographic showing various Machine Learning Neuroscience job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,329 per year, or $19.9 per hour.

Post doctoral researcher in Statistics

University of Maryland Baltimore County

Baltimore, MD • On-site

Full-time

Re-posted 9 days ago


Job description

Description
The Department of Mathematics and Statistics at the University of Maryland, Baltimore County (UMBC) has an opening for a postdoctoral scholar position, starting in fall 2025, preferably with an interest or focus on "Foundations of digital twins and uncertainty quantification, with applications to neuroscience problems."
The appointment is for a fixed term, but renewable upon satisfactory performance and funding availability. Candidates should have finished their Ph.D. in statistics, biostatistics, machine learning, or a related field before their appointment start date. Successful candidates are expected to conduct research, collaborate with faculty members, apply for external funding, and teach courses.
Qualifications
Candidates in all areas of statistics and data science may apply. Our interests include but are not limited to high-dimensional statistics; Bayesian statistics; resampling techniques; digital twins; uncertainty quantification; statistical process control; foundations of machine learning and artificial intelligence; optimization theory and numerical optimization with applications to data science; statistical applications to biomedical problems and precision medicine.
Application Instructions
Applicants should apply using: http://apply.interfolio.com/158801
Applicants should submit (a) a cover letter; (b) a curriculum vitae that includes publications; (c) a description of research interests and research plans; (d) a brief teaching statement; (e) a statement of commitment to inclusive excellence; and (e) have at least three letters of recommendation submitted on their behalf.
Equal Employment Opportunity Statement
UMBC is an Equal Opportunity/Affirmative Action Employer.