Assistant Research Scientist; PREP

Assistant Research Scientist (PREP
0004224)

This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas.

Employees in this position will perform technical work that underpins the scientific research of the collaboration. This position requires US Citizenship.

The position will collaborate with NIST researchers and NIST's external collaborators in a variety of topics relevant to their work including social scientists, engineers, and scientists - connecting economics to fundamental research, multi-disciplinary analysis, and decision support tools related to activities across a range of research topic areas, building and infrastructure, circular economy, resilience, and decision science.

The position is in the Applied Economics Office (AEO), a part of the Engineering Laboratory (EL) at NIST, provides economic products and services through research and consulting to industry and government agencies in support of productivity enhancement, economic growth, and international competitiveness, with a focus on improving the life-cycle quality and economy of constructed facilities and manufacturing processes that support social and economic functions.

The AEO is integrated within EL's major research thrusts: energy conservation, community resilience planning, manufacturing, fire, smart grid, building construction, and safety. The AEO delivers high quality research and tool development that informs and assists stakeholders in their decision‑making processes.

• Reviewing relevant literature
• Assist in designing data collection instruments
• Writing reports and research articles
• Assist in publishing within refereed journals and technical research series
• Communicating research at professional conferences

• A master's in economics, social science, psychology, policy, or related field.
• Background in econometrics or statistics and at least two of the following areas:
  • Applied microeconomics
  • Decision‑science or behavioral‑science
  • Geography
  • Non‑market valuation
  • Policy
  • Regional studies or planning
  • Regional economics
  • Risk and uncertainty
  • Social science
• Strong oral and written communication skills.
• Logical thinking and problem solving.
• Patience and attention to detail.
• Excellent writing and communication skills.

The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.

Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: (Use the "Apply for this Job" box below)..

The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved.