Computational Research Scientist

Lawrence Berkeley National Laboratory • Berkeley, CA

3h • Hybrid

About The Position

Lawrence Berkeley National Laboratory is hiring a Computational Research Scientist within the Building and Industrial Energy Systems Division. The Computational Research Scientist will conduct research, develop and apply AI technologies to support design, operation, and retrofit of buildings for optimal performance of energy efficiency, demand flexibility, and occupant comfort.
Current research in LBNL’s Building and Industrial Energy Systems Division includes the development and application of building energy simulation, research on building controls, performance monitoring, window systems, high performance facades, management of peak electricity demand, and benchmarking of building energy performance. The incumbent will focus on research and application of advanced AI methods and tools to automate building energy modeling, develop digital twins of buildings, prototype robotic technologies for HVAC systems in buildings, as well as collaborate with BIES staff on related projects. The incumbent will serve as technical lead for projects focusing on AI technologies for buildings.
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 employees by offering a total rewards package you can count on:
Exceptional health and retirement benefits, including pension or 401K-style plans
Opportunities to grow in your career - check out our Tuition Assistance Program
A culture where you’ll belong - we are invested in our teams!
In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year.
Parental bonding leave (for both mothers and fathers)
Pet insurance

Requirements

• An Advanced degree in mechanical engineering, architectural engineering, building science or a closely related field with up to five years’ experience in HVAC or Building Science and Technology, or equivalent work experience.
• Hands-on experience in developing web-based applications for building energy simulation and analysis
• Strong experience in curating AI-ready datasets
• Strong experience in developing digital twins of buildings using EnergyPlus as the simulation engine
• Strong experience in using machine learning models for load forecasting
• Strong experience in AI technologies (e.g., MCP, agentic AI) for workflow integration and automation
• Hands-on experience using data tools (e.g., XML, JSON, YAML, Brick)
• Strong knowledge of building science and HVAC system operation
• Strong knowledge of data and computing science
• Practical knowledge of a wide set of AI technologies
• Proficiency programming using Python, Python libraries, and AI code packages
• Strong development skill of web applications
• Strong skills in using generative AI, large language models
• Ability to work on multiple tasks and projects
• Ability to work collaboratively and lead in a team environment
• Excellent communication skills both oral and written
• Participate and contribute to research proposal developments
• Demonstrated ability to publish journal articles
• Excellent time management skills

Nice To Haves

• PhD in mechanical engineering, architectural engineering, building science or a closely related field
• Track records of publication of journal articles
• General knowledge of project management

Responsibilities

• Conduct independent research, develop and apply advanced AI technologies to curate and integrate data in buildings to be AI-ready
• Develop and validate digital twins of buildings and HVAC systems
• Develop and validate machine learning models for load forecasting
• Conduct independent research and apply AI technologies (e.g., MCP, agentic AI) to automate building energy modeling and simulation workflow
• Design and prototype robots for HVAC refrigerant leak detection
• Provide complex troubleshooting and contribute to further development of the LBNL building energy analysis tools: BETTER and CityBES
• Work effectively both independently and with a team on multi-disciplinary R&D projects
• Collaborate with project team and PIs on project progress and issues
• Present projects and research outcomes at conferences and to stakeholders or funders
• Write technical reports and publish research outcomes as journal articles as lead author
• Actively contribute to research proposal development, including as lead PI.
• Successfully build and manage a funded research portfolio.
• Manage projects
• Supervise technical staff

Benefits

• Exceptional health and retirement benefits, including pension or 401K-style plans
• Opportunities to grow in your career - check out our Tuition Assistance Program
• A culture where you’ll belong - we are invested in our teams!
• In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year.
• Parental bonding leave (for both mothers and fathers)
• Pet insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level