[Met-jobs] EPRI Project Engineer - dispersion modeling and data analysis
Please see below for a new job posting in the Air Quality group in the Environment Sector at the Electric Power Research Institute
Project Engineer/Scientist - Environment & Renewables
Palo Alto, CA|
Location: Palo Alto, CA
This position will fulfill a key technical role in the EPRI Air Quality Program Area. Specifically, the candidate will be responsible for performing air quality modeling applications (in-house) primarily with air dispersion models, as well as conducting air quality data analysis.
The candidate will be responsible for running various air dispersion models and analyzing the results. The candidate will also manage large air quality databases held in house or obtained from other sources and conduct a variety of data analysis. As part of the position responsibilities, the candidate will also assist other project managers in processing and analyzing air quality data, literature reviews, and preparing reports. As time permits, the candidate may be required to get training on advanced air quality models and assist senior project managers in running those models. The candidate will also be responsible for communicating research results internally and externally. Travel (~ 10% time) domestically is an essential part of this position.
The Ideal Candidate:
The ideal candidate will have superior technical skills in engineering or environmental sciences, with a strong foundation in numerical analysis. The candidate must be a strong communicator, both verbally and written. The candidate should have solid experience in software and database development. Willingness to work in a dynamic, multi-disciplinary setting is a plus. Proficiency with analytical tools available for both Windows and Linux operating systems is desired and knowledge of computer architecture and programming languages is a strong plus.
Education Level and Years of Experience:
- A minimum of Bachelor’s degree in Engineering or Environmental Sciences with experience in numerical modeling and data analysis
- Prior experience with running air dispersion models is a plus, although not a must if the candidate has a strong interest in numerical modeling and demonstrated ability to learn new tools.
- Excellent teaming abilities so as to work successfully with technical and non-technical staff, and clients.
- Ability to communicate research issues, approaches, and findings with non-specialistsAdvertising at university/academic venues and trade journals (e.g., EM)
Note: To ensure compliance with U.S. export controls, please indicate your U.S. citizenship or (or foreign citizens) your U.S. visa/immigration status in your resume or cover letter.
EPRI is an equal opportunity employer.
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