Postdoctoral Scholar, Energy Systems

Lawrence Berkeley National Laboratory is hiring a Postdoctoral Scholar, Energy Systems within the Building and Industrial Energy Systems division. In this role, you will develop, implement, and evaluate software tools for the design and control of thermal energy systems, particularly HVAC equipment, central heating and cooling plants, and/or data center cooling systems. These tools will be developed using Modelica, Python, and AI-based tools. You will also participate in laboratory and/or field demonstrations to validate and evaluate the developed technologies. Successful candidates will have a strong background in thermo-fluid systems and software development, deployment, and distribution. You will work under the guidance of scientists and collaborate with multidisciplinary research teams, including researchers and industry partners within and outside LBNL.

We’re here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!

Why join Berkeley Lab?
We invest in our postdoctoral scholars by offering benefits and resources designed to support your well-being, professional growth, and life outside of work:

• Comprehensive health benefits, including medical, dental, and vision coverage

• Retirement savings through the UC Defined Contribution Safe Harbor Plan, with additional voluntary UC retirement savings options available

• 24 days of Personal Time Off (PTO) per fiscal year, plus sick leave and paid holidays

• Eight weeks of Postdoctoral Paid Family Leave for qualifying family and parental needs

• Opportunities to connect, network, and grow through the Berkeley Lab Postdoc Association, including social events, professional development, and scientific exchange

• A collaborative and inclusive culture where you can grow your research career and belong

You will:

• Develop Python- and/or Modelica-based software for design and control of HVAC equipment, central heating and cooling plants and/or data centers.

• Investigate cutting edge algorithms and tools in the fields of AI, machine learning and optimization.

• Deploy, implement and evaluate software tools at laboratory environments and field sites.

• Publish research results in journals, present findings at national and international conferences, and work with industry on testing and deploying the research.

We are looking for:

• Ph.D. degree in mechanical engineering, architectural engineering, electrical engineering, and computer science or related fields.

• Strong knowledge of HVAC equipment, central heating and cooling plants and/or data center cooling systems.

• Demonstrated experience in applying modern AI technologies, computational methods, and data analysis tools

• Strong knowledge of modeling and simulation of thermo-fluid systems

• Hands-on experience with thermo-fluid systems, including experimental testing, system design, and operation.

• Strong analytical and communications skills, both oral and written, and able to communicate clearly the goals, parameters, objectives and outcomes of their research.

Desired skills/knowledge:

• Knowledge in testing standards of thermal systems

• Capable of working on multiple tasks and projects

For consideration, please apply 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 December 30, 2026. Applications will be accepted until the job posting is removed.