Research Programmer

Rutgers University; Piscataway Township (NJ); On-site; USD 75,000 - 120,000; Full time

Job summary

A prominent educational institution in New Jersey is looking for Research Programmers to advance Machine Learning and Deep Learning initiatives within interdisciplinary research environments. Candidates should have a strong background in ML/DL and cyberinfrastructure, contributing to various scientific and engineering applications. Key responsibilities include designing and deploying ML/DL algorithms, supporting national cyberinfrastructure research, and providing training on related techniques. This role offers the opportunity to engage with cutting-edge research and contribute to peer-reviewed publications.

Qualifications

• Strong background in Machine Learning and Deep Learning.
• Experience with cyberinfrastructure environments.
• Willingness to engage in interdisciplinary research.

Responsibilities

• Design, develop, and deploy ML/DL algorithms.
• Support research on national cyberinfrastructure.
• Deliver training on ML/DL/CI techniques.
• 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)

Skills

Machine Learning (ML)

Deep Learning (DL)

Cyberinfrastructure (CI)

Cloud environments (AWS, GCP, Azure)

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.

• 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.