What are the responsibilities and job description for the Student Assistant - Artificial Intelligence position at Brookhaven National Laboratory?
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 Language Model (LLM) and Reasoning Language Model (RLM) for science and engineering; (ii) Video Foundation Model and its scientific and security applications.
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:
- Current Ph.D. student in computer science or a related field (e.g., engineering, applied mathematics, statistics, physics).
- Strong understanding and practical knowledge in AI
- Excellent programming skills and in-depth computer science knowledge.
Preferred Knowledge, Skills, and Abilities:
- Practical experience developing novel AI/ML algorithms and models.
- Knowledge about foundation models and video foundation models.
- Knowledge and experience with LLM and RLM.
- Basic knowledge of integrated circuit design, digital simulation and logic synthesis.
- Familiarity working in multidisciplinary collaborations.
- Effective communication skills.
Other Information
- This Full-Time temporary (up to 89 days) position is targeted to start June 1, 2025, and end August 30, 2025
Brookhaven employees are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file
Equal Opportunity/Affirmative Action Employer Brookhaven Science Associates is an equal opportunity employer that values inclusion and diversity at our Lab. We are committed to ensuring that all qualified applicants receive consideration for employment and will not be discriminated against based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a veteran, disability, or any other federal, state, or local protected class. BSA takes affirmative action in support of its policy and to advance the employment of minorities, women, protected veterans, and individuals with disabilities. We ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment. Please contact us to request accommodation.
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