The Energy and Photon Science Directorate advances basic science that underpins discoveries and breakthroughs for energy systems. The appointment will be for a one-year with an opportunity for a one-year renewal to perform research in the area of electric power grids based on funding and individual performance. The successful candidate will contribute to the development of next-generation AI foundation models and AI-enabled workflows for electric applications. In particular, the position focuses on advancing GridFM, a grid foundation model for power systems. The role offers unique opportunities to contribute to cutting-edge research while helping translate AI innovations into real-world utility applications that support grid modernization, resilience, and large-scale electrification.

Essential Duties and Responsibilities:

Extend current GridFM capabilities for distribution networks Develop scalable graph-based machine learning or related models Expand training data generation capabilities Create benchmarks and test developed models

Required Knowledge, Skills, and Abilities:

Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field. Strong background in machine learning and deep learning. Experience with PyTorch, JAX, TensorFlow, or similar frameworks. Some experience developing Graph Neural Networks (GNNs), Graph Transformers, or foundation-model architectures. Familiarity with model training, fine-tuning, evaluation, and deployment. Understanding of uncertainty quantification, model robustness, and physics-informed AI. Experience with GPU computing and large-scale model training. Demonstrated ability to conduct independent research.

Preferred Knowledge, Skills, and Abilities:

Familiarity with distributed computing, HPC environments, and cloud platforms. Experience building production-quality software and ML pipelines. Familiarity with Git, CI/CD, containerization (Docker), and reproducible workflows. Experience developing APIs and workflow orchestration systems. Experience optimizing AI workloads for performance and scalability. Basic knowledge of electric power systems, transmission/distribution networks, power flow, optimal power flow, contingency analysis, or grid planning. Familiarity with tools such as PowerModels, MATPOWER, PSS/E, GridLAB-D, OpenDSS, or similar. Experience with mathematical optimization, mixed-integer programming, stochastic optimization, or decision analytics. Familiarity with Gurobi, CPLEX, Pyomo, JuMP, or related tools. Experience with LLM-based workflows, tool-calling agents, MCP architectures, retrieval systems, or AI copilots. Familiarity with multi-agent systems and decision-support applications.

Other Information:

Candidates must have completed all degree requirements 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 and R D position, excluding time associated with family planning, military service, illness or other life-changing events. Brookhaven Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $70,200

• $85,000/ year.

You will be placed at the level and salary commensurate with your experience. 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 Brookhaven National Laboratory requires all non-badged personnel including visitors to produce a REAL-ID or REAL-ID compliant documentation to access Brookhaven National Laboratory

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bnl.gov/real-id. This is due to nationwide identification requirements for federal site access as required by the federal REAL ID Act. Those not in possession of a REAL ID-compliant document will not be permitted to access the site which includes access to the Laboratory for interviews. As a U.S. Department of Energy laboratory, Brookhaven National Laboratory requires employees to obtain and maintain a DOE Uncleared Personal Identity Verification (UPIV) credential in accordance with Homeland Security Presidential Directive 12 (HSPD-12) requirements. The credentialing process is completed as part of onboarding and enables access to DOE facilities and information systems. As a condition of employment, the selected candidate must be able to obtain and maintain a UPIV credential. These requirements are established under DOE Order 206.2 Chg. 2, Identity, Credential, and Access Management (ICAM

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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

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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 Welcome. If you are looking for your next career move—to a place where your skills and strengths contribute to groundbreaking discovery and innovation—Brookhaven National Laboratory may be where you belong. Here you can explore open positions and apply to the ones that suit you, your skills, and strengths. You can also keep track of your progress in the selection process and new postings that might interest you. Thanks for your interest in joining the Brookhaven Lab team. At Brookhaven Lab, everyone has a role in discovery science and transformative technology that's helping power and secure the nation's future. We are home to world-class scientists, engineers, technicians, and other professionals as well as unique facilities that attract thousands of researchers annually from across the country and around the globe. Our track record includes seven Nobel Prize-winning discoveries, 37 R D 100 Awards (the "Oscars of Innovation"), and countless other advances.