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Postdoctoral Research Associate Large Language Model/Foundational Model

Brookhaven National Laboratory

UPTON, NYResearch$70–85K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$70–85K/yr
Location
UPTON, NY
Role Type
Research
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Doctorate

Job overview

Brookhaven National Laboratory seeks a Postdoctoral Research Associate for a one-year appointment, renewable, to conduct AI and machine learning research focused on large language and foundation models for electric power systems. The work applies these models to grid planning, operation, control, and cybersecurity, with the goal of supporting energy security and operational reliability. Candidates must hold a Ph.D. by the employment start date and meet the laboratory’s post-Ph.D. experience limit.

Skills & qualifications

RequiredNice to have

Skills

Artificial IntelligenceMachine LearningLarge Language ModelsFoundation ModelsModeling Complex Engineering SystemsWritten CommunicationVerbal CommunicationTaking DirectionInterdisciplinary CollaborationPower Grid ModelingSimulationDynamicsControl SystemsEnergy SystemsEnergy Systems ToolsEnergy Systems FrameworksCybersecurity

Qualifications

Ph.D. In Listed or Related FieldFive-Year Post-Ph.D. Experience Limit

Full job description

Job DescriptionThe 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. Essential Duties and Responsibilities: * Develop and implement artificial intelligence (AI) and machine learning (ML) techniques for power system planning, operation, control, and cybersecurity, with a particular focus on grid applications of large language models (LLMs) and foundation models (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 candidates 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.

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