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Temporary Machine Learning Postdoc Jobs (NOW HIRING)

NY · On-site

$60 - $80/hr

Postdoctoral Fellow Application of Machine Learning and Robotics page is loaded## Postdoctoral Fellow Application of Machine Learning and Roboticslocations: Harbor Branch (HBOI)time type: Full ...

Job Summary We have an open position for a computer science/machine-learning postdoctoral fellow to work on machine-learning algorithms for automatic diagnosis of dystonia, prediction of the risk for ...

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Temporary Machine Learning Postdoc information

What is a temporary machine learning postdoc?

A Temporary Machine Learning Postdoc is a fixed-term research position, typically held at a university or research institution, focused on advancing knowledge and techniques in machine learning. Postdoctoral researchers in this role work on specific projects, often collaborating with faculty, graduate students, or industry partners. The position is designed to provide advanced training and research experience after earning a PhD, usually lasting from several months to a couple of years. Temporary postdocs may contribute to publishing academic papers, developing algorithms, and mentoring students, while preparing for longer-term academic or industry careers.

What skills and qualifications are needed to thrive as a temporary machine learning postdoc?

To thrive as a Temporary Machine Learning Postdoc, you need a PhD in a relevant field, a solid grasp of machine learning theory, and strong programming skills (often in Python or R). Experience with tools such as TensorFlow, PyTorch, and high-performance computing environments, as well as a record of peer-reviewed research, is typically required. Strong analytical thinking, collaboration, and effective communication help you stand out in this research-intensive role. These skills are essential for advancing cutting-edge research, publishing impactful findings, and contributing to interdisciplinary projects.

What types of projects and collaborations can a temporary machine learning postdoc expect to engage in?

A Temporary Machine Learning Postdoc typically works on cutting-edge research projects, often contributing to ongoing studies or initiating novel investigations within the field. Collaboration is common, both within their immediate research group and with interdisciplinary teams, such as data scientists, domain experts, or industry partners. Postdocs may also mentor graduate students, present findings at conferences, and publish papers, gaining valuable experience that can lead to academic or industry roles. The environment is fast-paced and research-driven, offering opportunities for professional growth and expanding one's research portfolio.

What is the difference between Temporary Machine Learning Postdoc vs Data Scientist?

AspectTemporary Machine Learning PostdocData Scientist
CredentialsPhD in Computer Science, Data Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often requires experience
Work EnvironmentAcademic or research institutions, labsCorporate, tech companies, startups
Employer & Industry UsageUniversities, research centersBusiness, technology, finance, healthcare
Search & Comparison IntentUnderstanding research-focused roles, academic opportunitiesIndustry roles, applied data analysis, business impact

The Temporary Machine Learning Postdoc is primarily research-oriented, often in academic or research settings, requiring a PhD. In contrast, a Data Scientist typically works in industry, applying data analysis and machine learning to solve business problems, often with a Bachelor's or Master's degree. Both roles involve machine learning skills but differ in environment, focus, and experience level.

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What are the most commonly searched types of Machine Learning Postdoc jobs?

The most popular types of Machine Learning Postdoc jobs are:

What states have the most Temporary Machine Learning Postdoc jobs?

States with the most job openings for Temporary Machine Learning Postdoc jobs include:

What are popular job titles related to Temporary Machine Learning Postdoc jobs?

For Temporary Machine Learning Postdoc jobs, the most frequently searched job titles are:

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Infographic showing various Temporary Machine Learning Postdoc job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution.

PostDoctoral Associate in Artificial Intelligence/Machine Learning and Data Science

Piscataway, NJ • On-site

Rutgers University
Education Programs Administration • 1 - 10 employees

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 7 days ago


Rutgers University rating

7.7

Company rating: 7.7 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

264th of 631 rated colleges and universities


Job description

Position Details
Position Information
Recruitment/Posting Title
PostDoctoral Associate in Artificial Intelligence/Machine Learning and Data Science
Department
Quantitative Biomedicine Inst
Salary Details
69,293
Offer Information
The final salary offer may be determined by several factors, including, but not limited to, the candidate's qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university's broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.
Benefits
Rutgers offers a comprehensive benefits package to eligible employees, based on position, which includes:
  • Medical, prescription drug, and dental coverage
  • Paid vacation, holidays, and various leave programs
  • Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
  • Employee and dependent educational benefits
  • Life insurance coverage
  • Employee discounts programs

For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview.
Posting Summary
The Rutgers Artificial Intelligence and Data Science (RAD) Collaboratory is seeking to appoint two highly motivated postdoctoral researchers with expertise in artificial intelligence/machine learning and data science. Applicants must have completed their Ph.D. studies within the past year. Prior to submitting an application, they must identify an existing RAD Collaboratory faculty member as their postdoctoral mentor and provide the Mentor's Letter of Nomination (on Rutgers Letterhead) with their application materials. Successful candidates will work under the supervision of the Nominating Mentor and contribute to interdisciplinary research projects focused on important problems in science and engineering. Eligible subject areas include computational biology and/or biomedicine, multi-modality fusion and inference (visual and NLP data), computationally efficient ML, environmental sciences, business applications, chemistry, and physics. The RAD Collaboratory offers a rich environment for collaboration with ample access to computational resources.
Position Status
Full Time
Posting Number
26FA0744
Posting Open Date
09/02/2026
Posting Close Date
Qualifications
Minimum Education and Experience
• PhD in Computer Science or related discipline.
• Has a proven track record of excellence in artificial intelligence/machine learning and/or data science
• Strong interpersonal, verbal, and written communication skills
• Good documentation habits
• Candidates in all-but-degree (ABD) status will also be considered (Degree Conferral in Process)
Certifications/Licenses
Required Knowledge, Skills, and Abilities
  • Experience in GPU programming
  • Experience working in interdisciplinary research teams
  • Experience working with large and complex scientific datasets
  • Self-motivation and independence
  • A track record of productive research and peer-reviewed publications

Preferred Qualifications
Equipment Utilized
Workstation/laptop
Physical Demands and Work Environment
Onsite in academic and collaborative working environment
Overview
Outstanding Benefits Package
The RAD Collaboratory is located at Rutgers, State University of New Jersey and provides a friendly and collaborative working environment with excellent professional development opportunities. At Rutgers, this academic position offers New Jersey state benefits. There are personal rewards including comprehensive health and retirement plan options. For more details about state and university benefits,
For more details about state and university benefits, see our employee benefits page.
About the RAD Collaboratory (RADCollaboratory.Rutgers.edu)
The RAD Collaboratory was established as a New Brunswick Chancellor-reporting Signature Initiative to serve as a hub that fosters Data Science and Artificial Intelligence/Machine Learning (AI/ML) research collaborations, student and postdoctoral programming, and community engagement in synergistic partnerships with related initiatives across the University.
Statement
Posting Details
Special Instructions to Applicants
Applicants should provide a cover letter relating their research and career interests to this position, a full curriculum vitae, Mentor's Letter of Nomination, and names and contact information for two references. Applications will be reviewed on a rolling basis until the position is filled. Start date flexible.
Quick Link to Posting
https://jobs.rutgers.edu/postings/280205
Campus
Rutgers University-New Brunswick
Home Location Campus
Busch (RU-New Brunswick)
City
Piscataway
State
NJ
Location Details
Pre-employment Screenings
All offers of employment are contingent upon successful completion of all pre-employment screenings.
Immunization Requirements
Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination.
Equal Employment Opportunity Statement
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement

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