ZipRecruiter

Log In

1

Postdoctoral Machine Learning Jobs (NOW HIRING)

Tufts University

Postdoctoral Scholar

Medford, MA · On-site

$67K/yr

Overview Postdoctoral Scholar in Machine Learning for Physical Systems The Department of Electrical and Computer Engineering at Tufts University invites applications for a Postdoctoral Scholar in the ...

The Pennsylvania State University

POSITION SPECIFICS Join a Dynamic Team Focused on Foundation AI modeling and Physics-Informed Machine Learning as a Postdoctoral Researcher at The Pennsylvania State University. The Pennsylvania ...

New York University

POSTDOCTORAL ASSOCIATE

New York, NY · On-site

$62K - $67K/yr

Description POSTDOCTORAL ASSOCIATE New York University Tandon School of Engineering NYU Tandon ... Conducting advanced research in machine learning and data analytics for power system operation and ...

University of Idaho

Postdoctoral Researcher

Moscow, ID · On-site

$58K/yr

The postdoctoral researcher will conduct cutting-edge research in areas such as cyber-physical systems security, protection of critical infrastructure, and adversarial machine learning. The position ...

previous pagenext page

Showing results 21-40

All JobsPostdoctoral Machine Learning Jobs

Postdoctoral Machine Learning information

See salary details

$25K

$59K

$83.5K

How much do postdoctoral machine learning jobs pay per year?

As of Aug 4, 2026, the average yearly pay for postdoctoral machine learning in the United States is $59,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,000.00 and $66,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in a postdoctoral machine learning position?

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?

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.

More about Postdoctoral Machine Learning jobs
What cities are hiring for Postdoctoral Machine Learning jobs? Cities with the most Postdoctoral Machine Learning job openings:
What states have the most Postdoctoral Machine Learning jobs? States with the most job openings for Postdoctoral Machine Learning jobs include:
What job categories do people searching Postdoctoral Machine Learning jobs look for? The top searched job categories for Postdoctoral Machine Learning jobs are:
Postdoctoral Machine Learning jobs near you
Infographic showing various Postdoctoral Machine Learning job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 2% Part Time, and 2% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.

Postdoctoral Scholar

Tufts University

Medford, MA • On-site

$67K/yr

Full-time

Posted 21 days ago

Tufts University rating

8.4

Company rating: 8.4 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

95th of 614 rated colleges and universities

Job description

Overview
Postdoctoral Scholar in Machine Learning for Physical Systems
The Department of Electrical and Computer Engineering at Tufts University invites applications for a Postdoctoral Scholar in the research group of Prof. Peter Lu. The position focuses on machine learning methods for physical systems, including ML emulators or surrogate models for chaotic dynamics and materials modeling. The successful candidate will develop and analyze ML models for scientific problems and will have latitude to shape the research direction in collaboration with the PI
What You'll Do
Relevant application domains include high-dimensional PDEs, turbulence, and materials modeling. Methodological interests in the group span scientific generative modeling, representation learning, optimal transport, and neural operators. Candidates whose expertise connects to any of these areas, and who want to work at the interface of rigorous physical modeling and modern ML are encouraged to apply.
Responsibilities include conducting independent and collaborative research, developing and validating scientific ML models and code, disseminating results through publications and presentations, and contributing to grant activity and the mentoring of student researchers.
What We're Looking For
Required qualifications: a PhD (completed or expected before the start date) in electrical and computer engineering, physics, applied mathematics, computer science, or a closely related field; a strong record of research; and proficiency in scientific computing and modern ML frameworks.
Preferred qualifications: demonstrated experience in one or more of PDEs, dynamical systems, turbulence, materials modeling, or ML surrogate models; familiarity with differentiable programming; and a background spanning both physical modeling and machine learning.
The preferred start date is as soon as possible. The appointment is for up to two years: an initial one-year term with a second year contingent on performance and funding. Salary follows the Tufts compensation schedule for postdoctoral scholars and is commensurate with experience.
To apply, please submit a CV, a brief statement of research interests, and two confidential letters of reference. Review of applications will begin immediately and continue until the position is filled. Inquiries may be directed to Prof. Peter Lu (peter.lu@tufts.edu).
Pay Range
Minimum $67,500.00, Midpoint $67,500.00, Maximum $67,500.00
Salary is based on related experience, expertise, and internal equity; generally, new hires can expect pay between the minimum and midpoint of the range.

What Tufts University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply