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The Artificial Intelligence Learning department of the Computing and Data Sciences (CDS) directorate at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a post-doctoral research associate position in machine learning (ML). 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) development of novel machine learning models and adaptation of existing approaches for scientific applications; (ii) Large Language Models (LLMs) and multimodal foundation models for cross-domain reasoning and knowledge integration; (iii) continuous learning and model adaptation in dynamic and evolving environments; and (iv) Agentic AI systems for autonomous discovery, planning, and decision-making.

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 post-doc position presents a unique chance to conduct interdisciplinary collaborative research in BNL programs.

Essential Duties and Responsibilities:

• Conduct research in ML, multimodal foundation models, continuous learning, and agentic AI systems for various problems relating to autonomous scientific discovery.

• Work in interdisciplinary collaborations with subject matter experts on various aspects of scientific data generation and processing and methods evaluation.

• Formulate high-quality research ideas and directions in collaboration with mentors in the department.

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

Position Requirements

Required Knowledge, Skills, and Abilities:

• Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics)

• Strong theoretical understanding and practical experience in machine learning, multimodal foundation models, continuous learning, and agentic AI techniques

• Demonstrated publication record in machine learning field

• Excellent programming and computer science skills

Preferred Knowledge, Skills, And Abilities:

• Practical experience developing novel ML, multimodal foundation models, continuous learning systems, or agentic AI models.

• Experience with state-of-the-art multimodal foundation models and agentic AI frameworks

• Experience in large-scale deep learning systems, large multimodal foundation model training and/or finetuning, and continuous learning pipelines.

• Experience in multi-modality data analysis (e.g., image, video, text).

• Experience working in multidisciplinary collaborations.

Other Information:

• Initial 2-year term appointment subject to renewal contingent on performance and funding

• Candidates must have received a Ph.D. by the commencement of employment.

• BNL policy requires that after obtaining a PhD, eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness, or other life-changing events

• This is a fully onsite position located at BNL in Upton, NY

Brookhaven National Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $74050 - $122550 / year. Salary offers will be commensurate with the final candidate's qualification, education and experience and considered with the internal peer group.

Brookhaven National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more information at BNL | Benefits Program

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About Us

Brookhaven National Laboratory (www.bnl.gov) delivers discovery science and transformative technology to power and secure the nation's future. Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. The Lab is primarily supported by the U.S. Department of Energy's (DOE) Office of Science. Brookhaven Science Associates (BSA) operates and manages the Laboratory for DOE. BSA is a partnership between Battelle and The Research Foundation for the State University of New York on behalf of Stony Brook University. BSA salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country, learn more at BNL | Opportunities for Veterans at Brookhaven National Laboratory.

Equal Opportunity/Affirmative Action Employer

Guided by our core values of integrity, responsibility, innovation, respect, and teamwork, Brookhaven Science Associates is an Equal Employment Opportunity Employer-Vets/Disabled. We are committed to fostering a respectful and collaborative environment that fuels scientific discovery. We consider all qualified applicants without regard to any characteristic protected by law. All qualified individuals are encouraged to apply. We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. *VEVRAA Federal Contractor

BSA 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