StratfordRecruiter Since 2001
the smart solution for Stratford jobs

Research Programmer

Company: Rutgers University
Location: Piscataway
Posted on: April 1, 2026

Job Description:

Posting Summary The Rutgers Artificial Intelligence and Data Science ( RAD ) Collaboratory is seeking one or more Research Programmers to support leveraging modern Machine Learning (ML) and Deep Learning (DL) techniques by Rutgers faculty, postdoctoral fellows, and students. The ideal candidate will have a strong ML/DL and cyberinfrastructure (CI) background and a willingness to contribute to interdisciplinary research across diverse basic and applied science and engineering domains. Responsibilities will include: ? Design, develop, and deploy ML/DL algorithms for domain science and engineering fields ? Support RAD Collaboratory research on national cyberinfrastructure (e.g., ACCESS , NAIRR , and DOE supercomputers) or cloud environments (e.g., AWS , GCP , and Azure) ? Support application of ML/DL/CI techniques across topics and domains ? Deliver training on ML/DL/CI techniques and best practices to a broad range of researchers ? Stay at the forefront of new ML/DL techniques and ML/DL systems that support science and engineering research ? Co-author peer-reviewed interdisciplinary research publications ? Contribute to funding applications from external sources (e.g., NSF , NIH ) Overview The RAD Collaboratory was recently launched by the Office of the Rutgers New Brunswick Chancellor as a Chancellor-reporting Signature Initiative ( CSI ) that aligns with Rutgers–New Brunswick Academic Master Plan. This initiative serves as a hub for data science, artificial intelligence, student programming, and community engagement.

Keywords: Rutgers University, Stratford , Research Programmer, IT / Software / Systems , Piscataway, Connecticut


Didn't find what you're looking for? Search again!

I'm looking for
in category
within


Log In or Create An Account

Get the latest Connecticut jobs by following @recnetCT on Twitter!

Stratford RSS job feeds