Research Scientist Full-time - San Francisco, CA, United States - Lawrence Berkeley National Laboratory

Description

The Building Technology & Urban Systems (BTUS) Division at Lawrence Berkeley National Laboratory advances energy efficiency 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 both in the U.BTUS is seeking a Career-Track Research Scientist to conduct creative work in demand-side research to advance international building and urban decarbonization, collaborate with scientific staff, and work on projects.

In this exciting role, you will specifically focus on research for several international programs pertaining to demand-side energy system modeling, techno-economic analysis, decision science, and just transition.

The successful candidates will have a broad interdisciplinary expertise and working experiences in these topical areas in both the U.They will work with a diverse group of researchers across the Lab and beyond.

Conduct research within energy demand-side research to advance methodology, data, metrics, and pilot projects to provide policy, technological, and behavioral insights for global building and urban decarbonization.

Collaborate with Lab Scientific staff on Net-Zero Energy/Carbon Buildings, Industrialized Construction, Climate-Smart Cities, Just Transition, Material Transition, and Net-Zero World.

Collaborate with LBNL scientists and researchers across different disciplines, and may interact with external partners including industry, academic researchers, and IPCC experts.

Actively works to build a network of contacts and collaborators within their field of research and at funding agencies.

Report research progress to funders including government agencies and philanthropies.
Supervises and provides scientific direction to technical staff and students.
Applies expertise in decision science and energy system modeling.

Advanced degree or equivalent in Engineering and Public Policy or a related field and 3-5 years of relevant professional experience.

Prior international experiences in energy and climate policy, in particular in East Asia and Southeast Asia.

Demonstrated experience using advanced principles, theories, and concepts to R&D problems in a field of energy demand-side research in international context.

Excellent academic record and evaluations.
Demonstrated experience planning and completing projects.

Significant experience using Energy-System Modeling such as Low-Emissions Analysis Platform (LEAP), Python, other demand-side system modeling tools, and social science methodologies.

Experience in presenting findings at seminars and/or conferences to various stakeholders including academics, policy makers, and industry.
Supervises and provides scientific direction to technical staff and students.
Experience with successful research grant applications.
Ability to work successfully in an interdisciplinary environment and collaborate successfully with colleagues and others from diverse fields.
Ability to apply advanced principles, theories, and concepts to R&D problems in energy demand-side research.
General knowledge of energy system analysis and decision science.
Familiar with various demand-side sector including building, industry, and transport.
Proven communication and writing skills as author or co-author of technical papers, reports, and refereed journal articles.
Proficiency developing presentations, presenting research results and representing the team at meetings, workshops, and conferences.
Advanced Excel and Microsoft and Google Suites applications.
PhD in Engineering and Public Policy, in particular relevant to energy and environmental system analysis and innovation economics.
Experience with stakeholder engagement, especially with various government officials at the international level and in developing countries.
S. and international government agency working procedures and etiquette.

Experience with various research methods, including demand-side system modeling tools, discrete choice analysis, cost-benefit analysis, python, and other social science methodologies such as survey and interviews.

Familiar with the economics of emerging energy technologies and manufacturing processes.
Fluency in English and one more language (i.e., Mandarin or another language widely spoken in Asia) preferred.


Requested Application Materials:
Statement of research experience and interests.

This is a full time, 1 year, career-track term appointment that may be renewed to a maximum of five years and that may be converted to career based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.

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.

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.

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.

The Lawrence Berkeley National Laboratory provides accommodation to otherwise qualified internal and external applicants who are disabled or become disabled and need assistance with the application process.

Internal and external applicants that need such assistance may contact the Lawrence Berkeley National Laboratory to request accommodation by telephone at , by email to .S.

mail at EEO/AA Office, One Cyclotron Road, MS90R-2121, Berkeley, CA 94720.