Computational Research Scientist (Building Technology & Urban Systems)

Berkeley Lab - California - Berkeley Lab’s Building Technology and Urban Systems (BTUS) Division is looking for a Computational Research Scientist to conduct research, implement and deploy Modelica- and FMI-based new generation computing tools for building and district energy system design and operation. In this role, you will participate in projects such BOPTEST, MPCPy, Spawn of EnergyPlus, the Modelica Buildings and IBPSA libraries and OpenBuildingControl, as well as assist with leading national and international collaborations related to these projects. What You Will Do: Use fundamental principles, theories, and concepts to conduct research, develop and deploy a new generation computing tools for building and district energy system design and Model Predictive Control based on the Modelica and FMI standards. Conduct research, implementation and distribution of computing tools for building and district energy systems, including their controls, based on Modelica, FMI and mathematical programming packages, for design and real-time operation. Link domain-specific simulation programs to each other to support rapid prototyping, integrated whole-system level analysis and model-use during operations. Contribute to national and international collaborations to advance Model Predictive Control for building and district energy systems. Contribute to or co-author research results in leading journals, present findings at conferences and work with industry on testing and deploying the research. Assist with leading research projects, contribute to writing proposals, and securing funding. What We Are Looking For: At a minimum, a Bachelor’s Degree in Mechanical Engineering, Controls, Computer Science, Architectural Engineering; or equivalent combination of education and minimum 5 years of relevant research experience beyond the highest customary degree. Demonstrated expertise in system simulation, building sciences and controls, including Model Predictive Control, through journal and conference publications. A minimum of 2 years of experience developing mathematical models for building energy simulation. Demonstrated strong skills in developing models in languages and simulators for systems of differential algebraic equations (such as Modelica or Simulink) in the domain of building energy and control systems. Strong knowledge of building science, numerical methods for simulation, and nonlinear optimization. Strong knowledge of programming languages, such as Modelica, C/C++, Python, Java, and JavaScript. Good knowledge of HVAC systems and building controls. Excellent verbal and written communication skills including demonstrated presentational skills including the ability to apply and interpret advanced research principals, theories, and concepts. Demonstrated track record of publications in peer-reviewed literature. Ability to conduct independent research while working on multiple tasks and projects. What We Prefer: Advanced Degree in Mechanical Engineering, Controls, Computer Science, Architectural Engineering. Demonstrated research experience in system simulation, building sciences and controls. Experience in writing proposals. For full consideration, please apply by July 6, 2021 with the following application materials: Cover Letter - Describe your interest in this position and the relevance of your background. Curriculum Vitae (CV) or Resume. Notes: This is a full time, exempt from overtime pay (monthly paid), 1 year, Career Track-Term appointment with the possibility of renewal up to a maximum of 5 years total or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs. Salary is commensurate with experience. 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. Due to COVID-19, this position will initially be performed remotely but limited to individuals who can reside in the United States. Once the Bay Area shelter-in-place restrictions are lifted, work may resume onsite at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Learn About Us: (LBNL) addresses the world’s most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab’s scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy’s Office of Science. The Building Technology and Urban Systems ( ) Division advances energy efficiency and demand response in the built environment—one of the world's most critical energy and environmental challenges. Through research, partnership programs, and software tools, we promote energy and cost savings while improving comfort, health, and safety. Working at Berkeley Lab has many rewards including a competitive compensation program, excellent health and welfare programs, a retirement program that is second to none, and outstanding development opportunities. To view information about the many rewards that are offered at Berkeley Lab- . Berkeley Lab is committed to Inclusion, Diversity, Equity, and Accountability and strives to hire individuals who share these same values and commitments. Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Click to view the poster and supplement: "Equal Employment Opportunity is the Law."... - Permanent - Full-time

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