[ES_JOBS_NET] Next Generation Emission Measurement Researcher Opportunity with EPA - US Citizens only -

[Hecobian Najjari,Arsineh]

 ORISE researcher training opportunity with EPA's Office of Research and Development for a recent graduate in the next generation emissions measurement (NGEM) space.  Please see description below and the following link that outlines the ORISE program and how to apply for this training opportunity.  Please note, there is no relocation reimbursement.



https://www.zintellect.com/Opportunity/Details/EPA-ORD-NRMRL-AEMD-2018-06



Next Generation Emission Measurement Researcher

Traditional sources of air pollution with known emission points (e.g. facility stacks and vehicles) are well-studied and possess mature regulatory frameworks. Comparatively, industrial non-point and fugitive sources are less understood as emissions can be difficult to locate, measure, and model.  Energy production operations, refineries, chemical plants, and other industries and waste facilities can emit air pollutants and odorous compounds from equipment leaks, process malfunctions, and area sources. Occurring over extended areas, the location, or even existence of these stochastic industrial sources (SISs) can be unknown, making them difficult to efficiently monitor and manage.

>From the shared perspective of industries, regulators, and communities, improved understanding of SISs can yield many benefits such as safer working environments, cost savings through reduced product loss, lower airshed impacts, and improved community relations.  The emergence of lower-cost sensors and inverse modeling approaches, is enabling new cost-effective ways to detect and analyze SIS emissions. Under its next generation emissions measurement (NGEM) program, EPA is working with a range of partners to develop and test NGEM tools that can assist facilities in detection and management of SIS emissions.

EPA has the following ORISE researcher opportunity in the NGEM topic area.  The ORISE researcher will explore a focused aspect NGEM related to practical realization of fugitive leak detection inside and near complex industrial facilities. The ORISE researcher will develop unique experience interfacing both with EPA scientists and industry partners to help implement and document a specific sensor network leak detection approach for use in large facilities.  The researcher will gain valuable experience by interfacing with multiple parts of EPA to help develop formal methods and quality assurance procedures for this NGEM system. The researcher will interact frequently with members of the research team representing both the industrial sites and the sensor technology development company as part of this position.  The researcher will be stationed at EPA's National Risk Management Research Laboratory in Durham, NC but will travel (cost reimbursed) to multiple locations in the U.S. to visit industrial and research sites of the industry partners.  The researcher will expand on their current skills in complex data analysis and dispersion modeling and appropriately contribute as a member of the team that will document and methodize this research into a transferable form.  The researcher will participate in publication and communication of results in journal articles, reports, and at scientific conferences.  The researcher will be required to sign non-disclosure agreement with EPA's industrial partners regarding business confidential aspects of the project.  Approximately 20% of the researcher's time will be spent interfacing with EPA scientists on directly related NGEM projects (other field and technology efforts) that provide direct cross-training opportunities to strengthen/broaden the researcher's technical skills.



The successful candidate will possess some or all the following:

  *   A Bachelors, Masters, or Ph.D. in Environmental Science, Physics, or Engineering
  *   Strong academic record and references
  *   Demonstrated experience in undergraduate or graduate research
  *   Demonstrated capability in statistical data analysis with programs such as "R"
  *   Some exposure to atmospheric dispersion modeling or micrometeorology
  *   Strong oral and written communication skills
  *   Desire to contribute to a fast paced, leading edge environmental technology project


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