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Active Jobs
EPA’s Office of Transportation and Air Quality
<DEADLINE EXTENDED ONE MORE WEEK>
The Environmental Protection Agency’s Office of Transportation and Air Quality has posted a new vacancy for a GS-13 Physical Scientist position to be located in Ann Arbor OR Washington, D.C. This position is open to U.S. citizens, and the job posting closes on Monday, October 24th. The announcement number for the posting is RTP-LA-ODH-2022-0025.
Anyone who is interested can view the announcement and apply at the following link: https://www.usajobs.gov/job/682004900.
As described in the posting, the responsibilities for this position are:
– Advise on the national regulatory framework supporting state implementation plans (SIPs) and Clean Air Act mobile source programs
– Develop guidance, methods, and policies for state and local mobile source programs that reduce emissions and inventories of criteria pollutants and greenhouse gases
– Support evaluations of state and local mobile source programs and emission reduction strategies considered for future investment
– Deliver technical support and training to internal and external stakeholders and junior scientists
– Communicate environmental programs, policies, data, and technical analyses to a variety of technical and non-technical audiences
University of California Riverside – CECERT
Postdoctoral Scholar in Sustainable Freight Transportation Technologies
https://www.cert.ucr.edu/about/employment
The College of Engineering – Center for Environmental Research and Technology (CE-CERT) at the University of California, Riverside, is seeking a highly motivated postdoctoral scholar to join our Transportation Systems Research (TSR) group in conducting research related to sustainable freight transportation technologies. Candidates with knowledge and research experience in freight travel demand modeling, vehicle scheduling and routing, vehicle energy and emissions modeling, geospatial data analysis, advanced optimization, machine learning, and high performance computing, are encouraged to apply.
The TSR group consists of a multidisciplinary team of more than 20 faculty members, graduate and undergraduate students, and staff engineers. We conduct research in the areas of advanced vehicles and intelligent transportation systems with a focus on developing and evaluating technologies that improve the travel and energy efficiencies as well as reduce the environmental impact of transportation activities. Recent and current research projects involve the development of novel sustainable freight transportation technologies, all the way from conceptualization to design, simulation, prototyping, and real-world demonstration.
Specific activities of the successful candidate may include:
Develop new vehicle scheduling and routing techniques and evaluate their effectiveness
Model energy, emissions, and air quality impacts of freight movement
Conduct field testing of new transportation technologies
Perform mining, analysis, visualization, and interpretation of vehicle telematics data
Assist in producing high-quality publications, reports, and research proposals
Support additional related research projects as needed
Required Qualifications:
Ph.D. in relevant fields of science and engineering
Programming skills in MATLAB, Python, C/C++, R, and/or JavaScript, and demonstrated versatility working with various tools and programming languages
Excellent written and verbal communication skills, along with the ability to work effectively and cooperatively in a team as well as independently
Ability to multitask with strong time management skills
Desired Qualifications:
Familiarity with freight travel demand modeling tools and procedures, and vehicle scheduling and routing techniques
Experience with vehicle energy and emissions modeling, air dispersion modeling, and human exposure assessment a plus
Expertise in geospatial data analysis and database management using relevant software tools and scripting languages (such as ArcGIS, SQL)
Experience working with large datasets, leveraging high-performance computing or cloud computing resources, and performing Big Data analysis and visualization
Knowledge of advanced optimization methods and machine/deep learning techniques, and interest in applying them to solve transportation problems
Strong publication record
Those interested should send their curriculum vitae and a cover letter to [email protected] with the subject “TSR Postdoc Position”. In the cover letter, please provide a statement of research interests and experience.