The AI Department of Computational Data Science (CDS) directorate at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a student assistant position in Artificial Intelligence (AI). This position offers a unique opportunity to conduct both basic and applied research in concert with collaborators working on diverse scientific and security problems of interest to BNL and the Department of Energy (DOE). Topics of particular interest include: (i) Large scale foundation model for science and engineering; (ii) Causal inference and change point detection.

The position provides access to world-class computing resources, such as the BNL Institutional Cluster and DOE leadership computing facilities. Access to these platforms will allow computing at scale, and together with access to unique data sources, will ensure that the successful candidate has the necessary resources to solve challenging DOE problems of interest. The successful candidate will join a growing research group with diverse expertise and projects spanning the full breadth of BNL’s and the DOE’s missions. This student assistant position presents a unique chance to conduct interdisciplinary collaborative research in BNL programs with a highly competitive salary.

Essential Duties and Responsibilities:

• Conduct research and develop novel AI/ML algorithms and solutions.

• Disseminate research findings in publications, posters, project reports, presentations, and other related media.

• Work in interdisciplinary collaborations with subject matter experts.

• Communicate research progress, challenges and achievements, and engage within and beyond the group on new potential collaborations.

Position Requirements:

Required Knowledge, Skills, and Abilities:

• Candidates must be majoring in Computer Science or a related field: (e.g., engineering, applied mathematics, statistics, physics).

  The ideal candidate must be currently enrolled in a Bachelor Degree program and have maintained an overall GPA of at least 3.0.

• Strong understanding and practical knowledge in AI.

• Excellent programming skills and in-depth computer science knowledge.

Preferred Knowledge, Skills, and Abilities:

• Strong research experience (e.g. evidenced by publication record).

• Practical experience developing novel AI/ML algorithms and models.

• Knowledge about foundation models.

• Knowledge and experience with Large Language Models.

• Experience working in multidisciplinary collaborations.

• Effective communication skills.

Summer employment programs start on or about ~ July 7, 2025 and go on through August 22, 2025.  As business needs command, Student Assistant appointments may be extended through the academic year, pursuant to Student Assistant appointment policies.