1

Temporary Machine Learning Postdoc Jobs in New Jersey

Preferred 3+ years of professional or postdoctoral technical experience in the field of optical ... Machine Learning : Strong practical experience with state-of-the-art machine learning tools and ...

... as machine learning and multivariate decoding of neuroimaging data to predict subjective ... Postdoctoral Associate will collaborate with the Principal Investigator and team to design, conduct ...

... of machine learning algorithms for real-time signal analysis. The postdoc will collaborate in a multidisciplinary environment, managing laboratory resources and producing high-quality progress ...

Lab Assistant

Piscataway, NJ · On-site

$20.28/hr

Under the direction of the Principal Investigator, Senior Research Associate and Postdoctoral ... Apply statistical and machine-learning methods, including functional connectivity analysis, and ...

next page

Showing results 1-20

Temporary Machine Learning Postdoc information

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 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 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.

What are the most commonly searched types of Machine Learning Postdoc jobs in New Jersey? The most popular types of Machine Learning Postdoc jobs in New Jersey are:
What are popular job titles related to Temporary Machine Learning Postdoc jobs in New Jersey? For Temporary Machine Learning Postdoc jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Temporary Machine Learning Postdoc jobs in New Jersey look for? The top searched job categories for Temporary Machine Learning Postdoc jobs in New Jersey are:
What cities in New Jersey are hiring for Temporary Machine Learning Postdoc jobs? Cities in New Jersey with the most Temporary Machine Learning Postdoc job openings:
Infographic showing various Temporary Machine Learning Postdoc job openings in New Jersey as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Postdoctoral Associate

Rutgers University

Piscataway, NJ • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 13 days ago


Rutgers University rating

7.6

Company rating: 7.6 out of 10

Based on 67 frontline employees who took The Breakroom Quiz

284th of 614 rated colleges and universities


Job description

Position Details
Position Information
Recruitment/Posting Title
Postdoctoral Associate
Department
DIMACS
Salary Details
75,000
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
DIMACS, the Center for Discrete Mathematics and Theoretical Computer Science, invites applications for postdoctoral associate positions for 2026-2028. The postdoc will be mentored by a faculty member at Rutgers or a DIMACS partner institution, and able to participate in the wide variety of activities at DIMACS, while working on an original research program. Topics include but are not limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization, privacy, and security. Activities often address applications in wide-ranging areas, including biology, robotics, cyber & physical security, economics, voting, engineering, ecology, sociology, epidemiology, sustainability, and computational social choice. Applicants should be recent PhD graduates in computer science, mathematics, statistics, economics, information science, operations research, or a related field.
Positions provide salary, health benefits, and an allowance for travel. Applicants should provide a cover letter, a curriculum vitae, a research statement highlighting their current, past and planned future research, a teaching statement if intending to teach, and the names/e-mail addresses of three references.
DIMACS fosters research and education programs on topics that lie at the interface of discrete mathematics and theoretical computer science and their wide-ranging applications. It was founded as an NSF Science and Technology Center in 1989. DIMACS's partners include Rutgers University, AT&T Labs - Research, Columbia University, Georgia Tech, IBM Research, Microsoft Research, NEC Laboratories America, New Jersey Institute of Technology, Nokia Bell Labs, Peraton Labs, Princeton University, Rensselaer Polytechnic Institute, and Stevens Institute of Technology.
Research and education areas at DIMACS include algorithms, combinatorics, complexity, privacy and security, discrete and computational geometry, optimization, graph theory, data science, artificial intelligence, and machine learning, with applications in sustainability, epidemiology, genetics, networks, transportation, security, and economics. Many DIMACS activities relate to specific topics of current interest represented by the DIMACS Special Focus programs. Postdoctoral Associates at DIMACS are encouraged to collaborate with DIMACS members and visitors and to participate in all of the research and educational activities of DIMACS.
We are strongly committed to increasing the diversity of our Center. We believe that research and society benefit from a diverse workplace and strongly encourage applications from women, minorities, individuals with disabilities, veterans, and students with non-traditional backgrounds.
Position Status
Full Time
Posting Number
25FA1030
Posting Open Date
10/22/2025
Posting Close Date
Qualifications
Minimum Education and Experience
DIMACS postdoctoral positions are usually awarded to people who have completed a PhD in Mathematics, Computer Science, Statistics, Operations Research or a related field within the last three years.
Certifications/Licenses
Required Knowledge, Skills, and Abilities
Selection is based primarily on demonstrated technical excellence within the relevant areas of discrete mathematics, theoretical computer science, data science, AI, and others.
Preferred Qualifications
Equipment Utilized
Physical Demands and Work Environment
Overview
Statement
Posting Details
Special Instructions to Applicants
Applicants should provide a cover letter, curriculum vitae, a research statement highlighting their current, past and planned future research, a teaching statement if intending to teach, and the names/e-mail addresses of three references. Please note references will receive an email to upload letters of recommendation to the Rutgers University online recruitment system.
Quick Link to Posting
https://jobs.rutgers.edu/postings/261432
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

What Rutgers University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom