Postdoctoral Scholar

Lawrence Berkeley National Lab’s (LBNL) Energy Analysis & Environmental Impacts Division has an opening for a Postdoctoral Scholar to join the team.

The Electricity Markets & Policy (EMP) Department informs public and private decision making through technical, economic, and policy analysis of energy-related topics. Staff at EMP employ a range of interdisciplinary methods and tools appropriate to the topic at hand, including primary data, economic, and statistical analyses; modeling; and survey and interview-based research. We are conducting cost-effectiveness analysis and modeling to understand the potential growth in non-CO2 GHGs and climate super pollutants.

The current initiative seeks to 1) conduct deeper techno-economic analysis of methane and other non-CO2 GHG mitigation measures and evaluate their cost-effectiveness under China-specific context, 2) develop a deep mitigation and policy constraints scenario to understand the potential and benefits for additional reductions beyond current mitigation measures, and 3) develop a roadmap in reducing methane emissions in China before 2030.

What You Will Do:

• Conduct research and use quantitative methodologies to analyze the cost-effectiveness of mitigation measures and policies for climate super pollutant emissions (including specifically methane, F-gases, N2O, and black carbon) in various sectors and relevant mitigation measures.

• Help conduct literature review and data collection to support the development of modeling parameters and inputs for emission mitigation scenarios, conduct cost-effectiveness and marginal cost of abatement analyses.

• Prepare scientific reports.

• Conduct related technology and policy research.   

What is Required:

• Ph.D. degree in Environmental Sciences, Environmental Engineering, Energy and Resources, or equivalent relevant qualification with demonstrated work or research experience of a minimum of 2 years in the area of emissions modeling.

• Coursework related to environmental economics.

• Experience working with cost-effectiveness and abatement cost analysis, energy and GHG emissions modeling.

• Experience working with public entities and policymaking bodies.

• Ability to work independently according to technical guidelines, and collaboratively as part of a team.

• Excellent written and oral communication skills.

• Ability to read Chinese source material.

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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.

• The monthly salary range for this position is $4,636.00 / mo - $7,103.00 / mo and is expected to start at $6,433.00 / mo or above. Postdoctoral positions are paid on a step schedule per union contract and salaries will be predetermined based on postdoctoral step rates. Each step represents one full year of completed post-Ph.D. postdoctoral and/or related research 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.

• 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.

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