Lawrence Berkeley National Laboratory Looking for Postdoctoral Scholar at Berkeley, CA  Full Time

Lawrence Berkeley National Lab’s (LBNL) Building Technology and Urban Systems Division has an opening for a Postdoctoral Scholar to join the team.

In this exciting role, you will develop, implement, and evaluate control software tools (Modelica-, FMI- and python-based) for building HVAC and district energy systems, and perform field demonstrations. You will be familiar with software development and distribution, and HVAC systems. You are expected to work under the guidance of scientists and collaborate effectively with multi-disciplinary research and development teams including researchers within and outside LBNL.

What You Will Do:

• Develop Modelica and Python-based software.
• Investigate cutting edge algorithms and tools in the fields of machine learning and optimization.
• Deploy, implement and evaluate MPC tools at laboratory environment 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.
• Contribute to securing funding for the development of new control technologies for buildings.
• Conduct research, develop and deploy new generation modeling tools for building design and operation based on the Modelica and FMI standards.

What is Required:

• Ph.D. degree in mechanical engineering, electrical engineering, architectural engineering and computer science or related fields.
• Strong interest in combining modern computing technologies for modeling and simulation of HVAC and control systems, integrating these technologies in large software packages and working with teams that deploy them to the buildings industry.
• Basic knowledge of data engineering, including HTTP/REST API communication and database.
• Strong knowledge of programming languages, Python in particular, and version control (git).
• Solid background in software development and distribution, and thermo-fluid systems (with application to energy systems in buildings).
• Strong analytical and communications skills, both oral and written, and able to communicate clearly the goals, parameters, objectives and outcomes of their research.

Desired Qualifications:

• Background in the computational graph, automatic differentiation and symbolic manipulation.
• Experience with machine learning and data analysis tools such as tensorflow.
• Capable of working on multiple tasks and projects.

Want to learn more about Berkeley Lab’s Culture, Benefits and answers to FAQs? Please visit: https://recruiting.lbl.gov/

Notes:

• 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.
• This position is represented by a union for collective bargaining purposes.
• Salary will be predetermined based on postdoctoral step rates.
• This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
• Work will be primarily performed at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.

Based on University of California Policy – SARS-CoV-2 (COVID-19) Vaccination Program and U.S Federal Government requirements, Berkeley Lab requires that all members of our community obtain the COVID-19 vaccine as soon as they are eligible. As a condition of employment at Berkeley Lab, all Covered Individuals must Participate in the COVID-19 Vaccination Program by providing proof that vaccination requirements have been met or submitting a request for Exception or Deferral. Visit covid.lbl.gov for more information.

Berkeley Lab is committed to Inclusion, Diversity, Equity and Accountability (IDEA) and strives to continue building community with these shared values and commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action Employer. We heartily welcome applications from women, minorities, veterans, and all who would contribute to the Lab’s mission of leading scientific discovery, inclusion, and professionalism. In support of our diverse global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

Equal Opportunity and IDEA Information Links:

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