Postdoctoral Fellow (Electricity Markets and Policy Group)

Lawrence Berkeley National Laboratory
Closing Date: 
Sat, 12/07/2019

Postdoctoral Fellow (Electricity Markets and Policy Group) - 88734

EA-Energy Analysis Env Impacts

 

Berkeley Lab’s Energy Analysis and Environment Impacts (EAEI, https://energyanalysis.lbl.gov/) Division has an opening for a Postdoctoral Fellow to join their Electricity Markets and Policy (EMP, https://emp.lbl.gov/) Group!

 

In this role, you will lead and contribute to research projects that investigate the opportunities for flexible and efficient building loads to support the electrical grid through energy efficiency (EE) and demand response (DR).  Specifically, you will play a central role in research efforts involving data-driven analyses and modeling approaches using time-series data on building and system-level loads to assess the need for and availability of EE and DR resources as electric utility power systems change to accommodate storage, renewable energy, and electric vehicles. Research outputs will be directly relevant to decision makers and stakeholders in regulatory and other policymaking contexts.

 

The EMP Group conducts data driven, public interest research on a variety of issues associated with electricity markets, such electric system reliability, the role of energy efficiency, demand response, renewable energy and distributed generation resources, and retail energy markets.

 

What You Will Do:

• Apply your expertise in building science, power systems analysis, data analysis, and computer modeling to complex research questions.

• Participate actively in developing and refining research questions and priorities and in developing conceptual frameworks for addressing them.

• Develop and implement innovative analysis and modeling approaches to address questions related to building loads and power system operations.

• Exercise independent judgement in developing, maintaining, and improving analytical tools, algorithms, and code related to assigned research projects.

• Write journal and conference papers.

• Prepare reports and presentations.

 

What is Required:

• A PhD in Engineering, Computer Science, Physics, Economics or a related technical field.

• A self-starter who can plan and implement projects with minimal guidance and supervision.

• Experience conducting original research with a significant modeling or data analysis component.

• Familiarity with the technological and regulatory landscape related to EE and DR in one or more US regions.

• Significant expertise in analysis or modeling with Python.

• Demonstrated experience performing complex analysis on large (multi-GB) datasets.

• Basic familiarity with relational databases and SQL.

• Excellent written and verbal communication skills.

• Established record of academic publication.

 

What We Desire:

• Demonstrated experience performing research using (simulated or real-world) time-series data on building load shapes.

• Experience or familiarity with power systems modeling frameworks (capacity-expansion or production-cost modeling).

• Experience or familiarity with standard building simulation tools (e.g., Energy Plus).

• Demonstrated interest in best practices for software development and design.

• Interest in applied research to support policy and regulatory decision-makers.

 

The posting shall remain open until the position is filled, however for full consideration, please apply by close of business on November 22, 2019.

 

Notes:

• This is a full time, M-F, exempt from overtime pay (monthly paid), 1 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 4 years 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.

 

How To Apply

Apply directly online at http://50.73.55.13/counter.php?id=172734 and follow the on-line instructions to complete the application process. 

 

Berkeley Lab (LBNL, http://www.lbl.gov/) 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.

 

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- Click Here (https://commons.lbl.gov/display/hr/Benefits).

 

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. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision (https://www.dol.gov/ofccp/PayTransparencyNondiscrimination.html) under 41 CFR 60-1.4.  Click here (https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm) to view the poster and supplement: "Equal Employment Opportunity is the Law."

 

Lawrence Berkeley National Laboratory encourages applications from women, minorities, veterans, and other underrepresented groups presently considering scientific research careers.