Postdoc, Energy Systems: AI + Modelica for HVAC & Data Centers

Lawrence Berkeley National Laboratory

San Francisco (CA)

Híbrido

USD 92.000 - 100.000

Tempo integral

Há 9 dias

Uma candidatura completa em um minuto

Currículo e carta de apresentação personalizados, prontos para serem enviados.

Passe pelos filtros ATS

Benefícios oferecidos por esta vaga

PTO 24 days per year
Paid holidays
Postdoc Association

Resumo da vaga

Lawrence Berkeley National Laboratory is seeking a Postdoctoral Scholar in Energy Systems to develop software tools for design and control of HVAC and data center cooling systems using Python, Modelica, and AI-based methods. You will deploy tools in lab and field settings and collaborate across multidisciplinary teams.

Applicants should have a PhD in a relevant field, strong HVAC knowledge, and hands-on experience with thermo-fluid modeling, simulation, and data analysis.

Qualificações

  • PhD in mechanical, architectural, electrical engineering or CS.
  • Strong knowledge of HVAC equipment and data center cooling.
  • Experience applying AI technologies and data analysis tools.
  • Experience with modeling and simulation of thermo-fluid systems.
  • Hands-on testing and system design/operation.

Responsabilidades

  • Develop Python- and Modelica-based software for HVAC/system design.
  • Investigate AI, ML, optimization algorithms for control tasks.
  • Deploy software at lab and field sites.
  • Publish results and collaborate with industry partners.

Conhecimentos

Python
Modelica
AI/ML
Thermo-fluid analysis
Data analysis
Communication skills

Formação

PhD in mechanical/architectural/electrical engineering or CS

Ferramentas

Modelica
Python

Descrição da vaga

Lawrence Berkeley National Laboratory is seeking a Postdoctoral Scholar in Energy Systems to develop software tools for design and control of HVAC and data center cooling systems using Python, Modelica, and AI-based methods. You will deploy tools in lab and field settings and collaborate across multidisciplinary teams.

Applicants should have a PhD in a relevant field, strong HVAC knowledge, and hands-on experience with thermo-fluid modeling, simulation, and data analysis.

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