Temporary Research Scientist​/Engineer

The Civil and Environmental Engineering department has an outstanding opportunity for a temporary Research Scientist/Engineer 3 to join their team.

Reporting to Professor Julian Marshall, this position will hold the title of Research Scientist and will conduct research on high-resolution air pollution measurement, modeling, and source characterization.

• Develop, implement, evaluate, and advance computational approaches for estimating spatially and temporally resolved air‑pollutant emissions and exposures from observational data.
• Work may include statistical or Bayesian inverse modeling, data assimilation, optimization, uncertainty quantification, numerical methods, and related approaches.
• Develop methods for integrating observed pollutant concentrations with prior emissions information, meteorological information, and representations of atmospheric transport.
• Investigate alternative model formulations, identify methodological limitations, develop solutions to technical problems, and improve model accuracy, robustness, scalability, and interpretability.
• Develop and maintain reproducible scientific software and computational workflows.

• Analyze high‑resolution environmental datasets, including mobile‑monitoring and possibly fixed‑site air‑quality observations.
• Develop and apply methods for combining measurements that differ in spatial and temporal coverage, sampling frequency, and uncertainty.
• Evaluate spatial and temporal patterns in pollutant concentrations, elevated‑concentration locations, source influences, and variability across locations and time.
• Develop approaches for translating heterogeneous monitoring observations into inputs or observational constraints suitable for quantitative modeling and inference.

• Contribute to the design of high‑resolution mobile‑monitoring studies.
• Evaluate tradeoffs among spatial and temporal coverage, repeat sampling, route length, driving time, platform availability, seasonal and time‑of‑day coverage, and other practical constraints.
• Develop and evaluate quantitative approaches for route design, allocation of monitoring effort, sampling representativeness, and optimization of monitoring resources.
• Assess how alternative sampling designs affect the information that can be obtained about pollution concentrations, sources, emissions, and exposures.

• Design and conduct numerical experiments, sensitivity analyses, and validation studies.
• Evaluate model performance, robustness, identifiability, sensitivity to prior assumptions, observational requirements, and uncertainty.
• Develop cross‑validation, out‑of‑sample evaluation, or other performance‑assessment approaches.
• Assess how monitoring density, measurement frequency, spatial coverage, and combinations of observational datasets affect model performance and inference.

• Collaborate with faculty investigators, research staff, students, government‑agency scientists, and external technical partners.
• Interpret research findings and communicate methodological choices, assumptions, limitations, and results.
• Contribute to peer‑reviewed manuscripts, technical reports, presentations, research proposals, project documentation, and meetings.
• Participate in research planning and recommend methodological or analytical directions within assigned areas of responsibility.

To be considered for this opportunity,your application mustdemonstrateyou met both the…