ZipRecruiter

Log In

1

Postdoctoral Fellow Machine Learning Jobs (NOW HIRING)

Morehouse School of Medicine

Postdoctoral Fellow

Atlanta, GA · On-site

$47K - $63K/yr

Posting Number ACAD532 Job Title Postdoctoral Fellow Position Title Postdoctoral Fellow Position ... Perl); machine learning/AI applications. • Experience with CRISPR techniques; microbiome ...

State of South Carolina

Postdoctoral Fellow

Columbia, SC

$45K - $61K/yr

Job Responsibilities Postdoctoral Fellow Department: SOMC Neurology Part/Full Time: Full Time ... Demonstrated experience with computational modeling or machine learning applied to neural data;

next page

Showing results 1-20

People also search for

All JobsPostdoctoral Fellow Machine Learning Jobs

Postdoctoral Fellow Machine Learning information

See salary details

$25K

$59K

$83.5K

How much do postdoctoral fellow machine learning jobs pay per year?

As of Jun 4, 2026, the average yearly pay for postdoctoral fellow 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 as a Postdoctoral Fellow in Machine Learning, and why are they important?

To thrive as a Postdoctoral Fellow in Machine Learning, you need a strong background in computer science, mathematics, and statistics, typically supported by a PhD and relevant research experience. Familiarity with programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and experience in high-performance computing environments are commonly required. Strong analytical thinking, effective scientific communication, and collaboration skills help you contribute to research teams and disseminate findings. These skills and qualities are crucial for advancing research, developing innovative solutions, and building a successful academic or industry career in machine learning.

What are some common challenges faced by Postdoctoral Fellows in Machine Learning, and how can they be addressed?

Postdoctoral Fellows in Machine Learning often encounter challenges such as balancing independent research with collaborative projects, staying current with rapidly evolving technologies, and securing funding or publishing in top-tier journals. To address these, it's helpful to establish clear communication with mentors and collaborators, set aside dedicated time for reading recent literature, and actively seek feedback on research drafts. Building a professional network through conferences and seminars can also open opportunities for collaboration and career advancement.

What is a Postdoctoral Fellow in Machine Learning?

A Postdoctoral Fellow in Machine Learning is a researcher who has recently completed their PhD and is engaged in advanced research in the field of machine learning. This role typically involves conducting independent or collaborative research, publishing scientific papers, and sometimes mentoring students. Postdoctoral fellows often work at universities, research institutes, or industry labs, focusing on developing new algorithms, improving existing models, or applying machine learning techniques to specific problems. The position is usually temporary, lasting one to three years, and aims to prepare researchers for permanent academic or industry roles.

What is the difference between Postdoctoral Fellow Machine Learning vs Postdoctoral Research Scientist?

AspectPostdoctoral Fellow Machine LearningPostdoctoral Research Scientist
Required credentialsPhD in Computer Science, Data Science, or related fieldPhD in relevant field, often with specialized research experience
Work environmentAcademic labs, universities, research institutionsResearch labs, industry R&D departments, tech companies
Employer and industry usagePrimarily academia, government researchPrimarily industry, corporate research divisions
Common search and comparison intentUnderstanding academic research roles in machine learningExploring industry-focused research career paths

Postdoctoral Fellow Machine Learning roles typically focus on academic research, requiring a PhD and working in universities or research institutions. In contrast, Postdoctoral Research Scientist positions are often industry-based, emphasizing applied research within corporate R&D departments. Both roles involve advanced machine learning expertise but differ mainly in work environment and career trajectory.

More about Postdoctoral Fellow Machine Learning jobs
What cities are hiring for Postdoctoral Fellow Machine Learning jobs? Cities with the most Postdoctoral Fellow Machine Learning job openings:
What states have the most Postdoctoral Fellow Machine Learning jobs? States with the most job openings for Postdoctoral Fellow Machine Learning jobs include:
What job categories do people searching Postdoctoral Fellow Machine Learning jobs look for? The top searched job categories for Postdoctoral Fellow Machine Learning jobs are:
Postdoctoral Fellow Machine Learning jobs near you
Infographic showing various Postdoctoral Fellow Machine Learning job openings in the United States as of May 2026, with employment types broken down into 30% Full Time, and 70% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $59,022 per year, or $28.4 per hour.
POSTDOCTORAL FELLOW, EXPERIMENTAL ECONOMICS

POSTDOCTORAL FELLOW, EXPERIMENTAL ECONOMICS

Indiana University

Bloomington, IN • On-site

$45K - $61K/yr

Full-time

Posted 8 days ago

Job description

Posting Details
Position Details
Title
POSTDOCTORAL FELLOW, EXPERIMENTAL ECONOMICS
Appointment Status
Non-Tenure Track
Department
IU Bloomington Economics
Location
Bloomington
Position Summary
The Department of Economics at Indiana University, Bloomington, invites applications for a one-year postdoctoral fellowship in Behavioral and Experimental Economics, beginning in the fall of 2026. Experience or interest in the use of artificial intelligence, machine learning, or computational tools in behavioral and experimental economics is appreciated. Strong emphasis will be placed on demonstrated research potential and the ability to contribute to a vibrant research environment.
The postdoctoral fellow is expected to pursue an active research agenda and to participate in departmental seminars and other scholarly activities. Teaching responsibilities will be three courses over the academic year.
Basic Qualifications
Candidates must have a Ph.D. in Economics completed by the start date of the appointment, and the Ph.D. completion date may not be earlier than August 2022. H1-B sponsorship is not available for this position.
International candidates may be hired if they are eligible for Optional Practical Training (OPT) for the 2026/2027 Academic Year.
To receive full consideration, applications must be submitted online at
https://indiana.peopleadmin.com/postings/31961 by February 20, 2026. Application materials should include a cover letter, a curriculum vitae, evidence of teaching effectiveness (such as teaching evaluations or a teaching statement), and the names and contact information of three references. Upon submission, an electronic request for reference letters will be automatically sent to the provided references.
Department Contact for Questions
Questions regarding the position or application process may be directed to Erin Kirchhofer, Department of Economics, Wylie Hall 105, 100 S. Woodlawn Ave, Bloomington, IN 47405; (812) 855-0353; econadmn@indiana.edu.
Additional Qualifications
Indiana University is an equal opportunity employer and provider of ADA services and prohibits discrimination in hiring. See Indiana University Notice of Non-Discrimination here which includes contact information.
Salary and Rank
Special Instructions
For Best Consideration Date
02/20/2026
Expected Start Date
08/01/2026
Posting Number
IU-101474-2026

Apply