Job Summary:

The successful candidate will be able to independently design and execute research projects, including reviewing literature to understand the availability of evidence for a given approach or assumption, collaborating with research teams (including RTI staff, clients, and academic collaborators) to define common objectives, designing and executing technical approaches that are fit for purpose, and clearly articulating findings to a wide range of audiences. Successful candidates will have a demonstrated interest in the topic areas described above and extensive training in economics, environmental science, and/or related engineering disciplines. However, we are also eager to hear compelling cases for how experience from other disciplines may support our growth in these areas.

Responsibilities

Responsibilities will include:

· Leading and supporting quantitative analyses, including optimization-based modeling, using mathematical programming packages (e.g., GAMS, GEMPACK, AMPL, Python, Julia-JuMP).

· Managing project implementation, ensuring completion of high-quality deliverables on time and on budget.

· Liaise with clients and collaborators to understand needs, design research plans, and communicate plans, progress, and results.

· Collaborating with internal teams and external researchers.

· Integrating data from a range of sources and in a range of formats, including earth observation data, field surveys, and government statistics, into models and analyses.

· Conducting literature reviews to identify best available data and/or best practices for data processing and analysis.

· Communicating research methods and findings via technical reports, journal articles, and presentations, including clear and compelling data visuals and summaries for a broad audience.

Qualifications

Required qualifications:

· Ph.D. degree in a relevant field such as economics, environmental science, geography, energy engineering, or similar discipline.

· Demonstrated experience in conducting quantitative analysis of environmental and climate policy.

· Excellent verbal and written communication skills, including ability to communicate complex issues to a wide range of audiences, and a track-record of publications and/or quantitative analytical outputs. If selected to interview for the position, writing samples may be requested.

· Experience fostering effective and efficient team dynamics.

Desirable, but not required:

· Experience developing and applying optimization-based models for general equilibrium or partial equilibrium modeling in GAMS, Python, Julia or related programs.

· Prior experience with major U.S. government agencies (e.g., EPA, DOE, USAID, NASA, NOAA, BEA), foundations, and development banks.

Level of Education: Postgraduate Degree

Work Hours: 8

Experience in Months: No requirements