Postdoctoral Research Associate - Large Language Model/Foundational Model

Overview The Interdisciplinary Science (IS) Department at Brookhaven National Laboratory (BNL) is seeking a Postdoctoral Research Associate for a one-year appointment with an opportunity for renewal to perform research using artificial intelligence (AI) and machine learning (ML) with a focus on large language models (LLMs) and foundation models (FMs) relevant to electric power systems. Responsibilities Develop and implement artificial intelligence (AI) and machine learning (ML) techniques for power system planning, operation, control, and cybersecurity, with a focus on grid applications of LLMs and FMs to ensure the energy security and operational reliability of electric power systems. Required Knowledge, Skills, and Abilities Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field, with a strong foundation in artificial intelligence and machine learning, particularly in LLMs and FMs Demonstrated ability to leverage LLM and/or FM in advanced technical areas Experience with/knowledge of modeling complex engineering systems Strong written and verbal communication skills, with the ability to take direction effectively and collaborate within interdisciplinary project teams Preferred Knowledge, Skills, and Abilities Knowledge of/experience with modeling, simulation, dynamics, and control of complex systems such as power grids Knowledge of/experience in energy systems, including familiarity with commonly used tools, frameworks, cybersecurity, and best practices Additional Information 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. Candidates must have received a Ph.D. by the commencement of employment. Brookhaven Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $70,200 - $85,000. Salary offers will be commensurate with the final candidate's qualification, education and experience and considered with the internal peer group. Brookhaven National Laboratory and the Energy and Photon Sciences Directorate are committed to your success. We offer a supportive work environment and the resources necessary for you to succeed. About Us Brookhaven National Laboratory ( 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. Equal Opportunity Brookhaven National Laboratory is an Equal Employment Opportunity Employer. We consider all qualified applicants without regard to any characteristic protected by law. We are committed to fostering a respectful and collaborative environment that fuels scientific discovery. We encourage all qualified individuals to apply and 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. BNL | REAL-ID information: Brookhaven National Laboratory requires all non-badged personnel including visitors to produce REAL-ID or REAL-ID compliant documentation to access Brookhaven National Laboratory. View more information at Those not in possession of a REAL-ID compliant document will not be permitted to access the site. #J-18808-Ljbffr Brookhaven National Laboratory