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Applied Artificial Intelligence & Autonomous Systems Postdoctoral Fellow

Job in Berkeley, Alameda County, California, 94709, USA
Listing for: Lawrence Berkeley National Laboratory
Full Time position
Listed on 2026-01-03
Job specializations:
  • Engineering
    Robotics, AI Engineer
Job Description & How to Apply Below

Applied Artificial Intelligence & Autonomous Systems Postdoctoral Fellow

Lawrence Berkeley National Laboratory is hiring an Applied Artificial Intelligence & Autonomous Systems Postdoctoral Fellow within the Energy Analysis division. This position resides in the Systems and Energy Technologies Analysis Department and will develop AI-driven autonomous systems for next-generation transportation and grid applications. The role focuses on advanced control, LLM-based agentic frameworks, and robust decision-making to improve the safety and reliability of transportation and grid simulations, with contributions to model development, software maintenance, and real‑world deployment.

You Will:

Develop fine‑tuning and/or Retrieval‑Augmented Generation (RAG) methods to augment LLMs with dedicated knowledge in transportation and electric grid domains. This involves designing methods to process input data and documents into appropriate structures for efficient training, establishing evaluation metrics to validate model performance, and improving the fine‑tuning process with additional reinforcement learning steps.

Integrate fine‑tuned LLMs into the existing agent‑based simulation framework in HEVI‑LOAD to enable agentic scenario planning and parameter tuning.

Design and develop novel multi‑agent reinforcement learning algorithms with safety guarantees for connected autonomous vehicles/trucks, robotic and vehicle‑grid integration systems, incorporating robust control methods and uncertainty quantification.

Implement and validate safe and/or model‑predictive control frameworks for real‑time path planning and tracking of autonomous trucking and warehouse management systems.

Conduct data analysis on pilot‑scale deployments of vehicle‑grid integration and develop control systems for smart charging/discharging within the context of both transportation and electric grid systems.

Publish research findings in high‑impact peer‑reviewed conferences and journals, and present findings to prospective collaborators and funders.

Assist the PI and other researchers in developing the funding proposals.

We are looking for:

Ph.D. in Computer Science, Electrical Engineering, Mechanical Engineering, Robotics, or a closely related field, with a strong research background in AI, reinforcement learning, and multi‑agent systems.

Demonstrated expertise in agent‑based approaches and decision‑making algorithms, such as safe and robust control methods, evidenced by publications in top‑tier conferences or journals.

Strong hands‑on programming skills in Python and deep learning frameworks (PyTorch or Tensor Flow), with experience in implementing and training complex neural network architectures.

Ability to work as an independent researcher with a high level of scientific judgment and initiative, as well as effectively as part of a diverse collaborative team.

Strong publication record in reinforcement learning, autonomous systems, robotics, or related fields.

Desired skills/knowledge:

Hands‑on experience with robotics platforms and sim2real transfer (ROS, Carla, Meta Drive, or similar).

Experience in vehicle‑grid integration, autonomous vehicles, smart grid systems, or energy storage applications.

Experience with vision‑language models, large language models, or multi‑modal learning systems.

For consideration, please apply by Feb. 2, 2026 with the following application materials:

  • Cover Letter – Describe your interest in this position and the relevance of your background.
  • Curriculum Vitae (CV) or Resume.

Additional information:

Application date: Priority consideration will be given to candidates who apply by Feb 2, 2026. Applications will be accepted until the job posting is removed.

Appointment type: This is a full‑time 2 year, postdoctoral appointment with the possibility of renewal based upon satisfactory job performance, continuing availability of funds and ongoing operational needs. You must have less than 3 years of paid postdoctoral experience. Salary for Postdoctoral positions depends on years of experience post‑degree.

Salary range: The monthly salary range for this position is $6,891 / mo – $7,609.00 / mo and is expected to start at $6,891 / mo or…

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