Post-doctoral Research Associate

Position Information

Recruitment/Posting Title Post-doctoral Research Associate

Department Rutgers Center Green Building

Salary Details A salary range of $70,000-$90,000 annually.

Offer Information The final salary offer may be determined by several factors, including, but not limited to, the candidate’s qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university’s broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.

Benefits Rutgers provides a comprehensive benefits package to eligible employees. The specific benefits vary based on the position and may include:

• Medical, prescription drug, and dental coverage
• Paid vacation, holidays, and various leave programs
• Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
• Employee and dependent educational benefits (when applicable)
• Life insurance coverage
• Employee discount programs

The Center for Urban Policy Research (CUPR) seeks Postdoctoral Associates to support externally funded projects aimed at accelerating building and grid decarbonization for a sustainable energy transition. CUPR has multiple ongoing projects funded by the New Jersey Board of Public Utilities, the US Department of Energy, the US Environmental Protection Agency, the National Science Foundation, and others that include a mix of research design, fieldwork, data science, simulation modeling, writing, and presentations.

The overarching goal of the Postdoctoral Associate will be to systematically investigate, evaluate, and address both technical and non-technical (political, behavioral, social) obstacles to building a grid decarbonization. The successful candidate will work with a team of approximately 20 researchers in the built environment group at CUPR and will contribute research skills and training at the intersection of engineering, economics, and public policy with knowledge and experience of buildings and energy systems.

Specific postdoc duties will depend on the successful candidate’s skills and interests, matched to project needs, with time allocated to pursue independent, discretionary work.

• Use advanced energy modeling to analyze energy efficiency, demand flexibility, and electrification measures in the building stock.
• Use advanced community-scale energy models to analyze high-performance buildings and geothermal energy systems.
• Assess technical and non-technical barriers to the adoption of clean energy technologies.
• Conduct analyses of existing codes, standards, and policies related to building decarbonization, including econometric analyses of economic impacts.
• Conduct analyses of utility rates and rate impacts on households and other populations with emphasis on low- and moderate-income populations and affordable housing settings.
• Author peer-reviewed publications and public reports on research findings.
• Maintain a database of research materials, datasets, and codebooks.

Full Time

26FA0701

Candidates shall have completed all requirements for a PhD in building sciences, engineering, architecture, urban planning, energy or regulatory economics, public informatics, or a related field prior to being hired.

• Professional knowledge in mechanical engineering, electrical engineering, civil engineering, architecture, urban planning, regulatory economics, or other fields, as related to building sciences and energy and infrastructure systems
• Advanced experience with whole building energy modeling tools such as Energy Plus, Open Studio, or Design Builder, and community-scale building energy tools such as Urban Opt; advanced experience with regulatory economics modeling software may be substituted
• Strong quantitative skills, with the ability to leverage these for decarbonization strategies
• Fluency in task…