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Postdoctoral Machine Learning Jobs in Boston, MA

NorthEastern

Postdoctoral Research Fellow

Boston, MA

$60K - $85K/yr

This postdoctoral position will involve leading independent research, as well as conducting ... machine learning, and/or analyzing structural and functional neuroimaging data. Specific activities ...

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Postdoctoral Machine Learning information

See Boston, MA salary details

$27.2K

$64.1K

$90.7K

How much do postdoctoral machine learning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for postdoctoral machine learning in Boston, MA is $64,121.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,200.00 and $72,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Postdoctoral Machine Learning position, and why are they important?

To thrive as a Postdoctoral Machine Learning researcher, you need a strong background in machine learning theory, statistical analysis, and programming, typically supported by a Ph.D. in computer science, engineering, or a related quantitative field. Experience with Python, TensorFlow, PyTorch, and advanced data analytics tools is highly valued, as are relevant publications and experience with version control systems like Git. Strong problem-solving abilities, clear communication skills, and effective teamwork are crucial to excel in collaborative research settings. These skills and qualities are essential to drive innovative research, efficiently navigate complex datasets, and contribute to impactful scientific discoveries.

What is a Postdoctoral Machine Learning job?

A Postdoctoral Machine Learning job is a research-focused position for individuals who have recently earned a Ph.D. in machine learning, artificial intelligence, or a related field. It typically involves conducting advanced research, publishing papers, collaborating with academic or industry partners, and developing novel algorithms or models. These roles are often hosted by universities, research institutes, or tech companies. The position helps researchers gain additional expertise and contribute to cutting-edge advancements before transitioning to faculty, industry, or independent research roles.

What are the typical daily responsibilities of a Postdoctoral Machine Learning researcher?

A Postdoctoral Machine Learning researcher typically spends their day designing and implementing machine learning algorithms, analyzing experimental results, and preparing manuscripts for publication. They often collaborate with interdisciplinary teams of scientists and engineers, attend lab meetings, and contribute to grant writing or project proposals. Regular activities also include keeping up with recent scientific literature, mentoring graduate or undergraduate students, and presenting research findings at conferences or seminars. The blend of technical development and scientific communication makes each day dynamic and offers opportunities to influence both academia and industry.

What are popular job titles related to Postdoctoral Machine Learning jobs in Boston, MA? For Postdoctoral Machine Learning jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Postdoctoral Machine Learning jobs in Boston, MA look for? The top searched job categories for Postdoctoral Machine Learning jobs in Boston, MA are:
Postdoctoral Machine Learning jobs near you
Postdoctoral Research Fellow

Postdoctoral Research Fellow

NorthEastern

Boston, MA

$60K - $85K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago

Job description

About the Opportunity

This job description is intended to describe the general nature and level of work being performed by people assigned to this classification. It is not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified.

About the Opportunity:

The Department of Psychology and Center for Cognitive and Brain Health at Northeastern University invites applications for a Postdoctoral Research Associate or more senior position. The position is to begin Summer or Fall 2025 for a term of 2-3 years, with yearly renewals based upon funding and performance.

This position will be based in the Social Development and Wellbeing Lab led by Dr. Alexandra Rodman. The Lab and offices are the heart of Boston, in the new, state-of-the-art ISEC building, which includes a brand-new neuroimaging center. Our research examines the social lives of teens, including their social behavior and experiences, and how they process social information. We also examine how individual differences in these processes confer risk or resilience to mental health problems. As part of the Center for Cognitive and Brain Health, there is ample opportunity for collaboration with other faculty and researchers of the Center.

Responsibilities:

This postdoctoral position will involve leading independent research, as well as conducting analysis of existing data, which can range broadly from behavioral (e.g., computerized task) to neuroimaging (e.g., fMRI) data from studies examining neurodevelopmental mechanisms of social information processing (e.g., learning, emotion, or motivational processes). Applicants can explore basic characterization of adolescence and/or translational questions related to clinical risk and resilience factors. Though not required, we are particularly interested in applicants who use advanced quantitative methods, including computational modeling, machine learning, and/or analyzing structural and functional neuroimaging data.

Specific activities may include managing/preprocessing/analyzing behavioral and neuroimaging data, collecting new data (e.g., behavioral task, fMRI, digital phenotyping via mobile phone, wearables), presenting and disseminating research, formal supervision and mentoring of lab members at earlier career stages on independent research projects, grant writing, leading independent research and disseminating results via conferences, talks, and first-author manuscripts. Expertise in any or all of these skills is not required.

Qualifications:

Applicants should have a PhD degree (or expected by September 1, 2025) in Psychology or a related field (e.g., Neuroscience, Education, Sociology), with an interest in studying adolescent development and/or wellbeing.

Strong candidates will have a track record of research on psychopathology in children and adolescents and/or interest and expertise in complex social processes, the ability to effectively manage a research team, and experience using advanced quantitative methods, including computational modeling, machine learning, and analyzing structural and functional neuroimaging data.

Candidates can apply online at NU Careers: They must submit a CV and Cover Letter, along with the name and contact information of two referees who have worked with the applicant in a supervisory research role or related position. The Cover Letter should include the applicants' research interests (i.e., core research questions and projects completed, future directions and how they relate to the current position) and academic/technical training, including current skills and training goals. Please contact Dr. Rodman at a.rodman@northeastern.edu if you have further questions. Submissions will be reviewed on a rolling basis, with priority given to submissions received before February 18th, 2025. We especially encourage those from underrepresented groups in science to apply.

Position Type

Research

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Compensation Grade/Pay Type:

108S

Expected Hiring Range:

$60,315.00 - $85,192.50

With the pay range(s) shown above, the starting salary will depend on several factors, which may include your education, experience, location, knowledge and expertise, and skills as well as a pay comparison to similarly-situated employees already in the role. Salary ranges are reviewed regularly and are subject to change.

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