*Applications may be reviewed on a rolling-basis and this posting could close before the deadline. Click here for information about the selection process.
EPA Office/Lab and Location: A research opportunity is currently available at the Environmental Protection Agency (EPA), Office of Research and Development (ORD), Center for Environmental Solutions and Emergency Response (CESER), Land Remediation and Technology Division (LRTD) located in Cincinnati, Ohio.
Research Project: The advancement of methods for predicting a chemical’s physicochemical properties, emissions associated with its manufacture, and its potential environmental fate and eco-toxicity is a continually emerging field. With the continued development of computational approaches to fill in missing data needed for assessment of a chemical’s impact, there still exist a need for novel methods. Currently, the US EPA is advancing the use of read-across approaches to supply this missing data throughout the life cycle of a chemical which includes manufacturing, processing, transportation, use and end-of-life cycle activities, as a part of the Agency’s high-throughput chemical risk assessment and management research program.
This research opportunity involves obtaining data from online resources, to extracting and document the appropriate data in a multitude of databases. Data collected will be curated and used to generate models and regression analysis for prediction of physicochemical properties and chemical emissions from manufacturing. Curation of the data requires evaluation and preprocessing, according to big data principles with an emphasis on data quality. Modeling will involve the use of engineering knowledge to fill the gaps in the chemical properties or the emissions. Machine learning will be applied to classify the data based on the similarities in specific data descriptors such as physical properties, chemical quantities and the nature of the activities involving the chemicals. Machine learning will also be used to automate the development of predictive models and chemical emissions/properties estimation.
Learning Objectives: Under the guidance of EPA scientists, the research participant will learn innovative approaches to apply read-across methods and machine learning approaches in developing the predictive models within the chemical risk assessment program to support the next generation of high-throughput modeling approaches. The research participant will also gain experience in the application of machine learning processes to develop predictive models and in the generation and management of high-quality scientific data. Additionally, the research participant will have opportunities to learn about other research projects in chemical risk assessment through interactions with other EPA scientists, chemical and environmental engineers and chemists to gain considerable experience in the development of computational methods and to publish the developed innovative models and methods. This ORISE training opportunity will provide the research participant with state-of-the-art knowledge and networking opportunities within and external to the Agency.
Mentor(s): The mentor for this opportunity is Michael Gonzalez (Gonzalez.email@example.com). If you have questions about the nature of the research please contact the mentor(s).
Anticipated Appointment Start Date: January 2022. All start dates are flexible and vary depending on numerous factors. Click here for detailed information about start dates.
Appointment Length: The appointment will initially be for one year and may be renewed up to three or four additional years upon EPA recommendation and subject to availability of funding.
Level of Participation: The appointment is full-time.
Participant Stipend: The participant will receive a monthly stipend commensurate with educational level and experience. Click here for detailed information about full-time stipends.
EPA Security Clearance: Completion of a successful background investigation by the Office of Personnel Management (OPM) is required for an applicant to be on-boarded at EPA.
ORISE Information: This program, administered by ORAU through its contract with the U.S. Department of Energy (DOE) to manage the Oak Ridge Institute for Science and Education (ORISE), was established through an interagency agreement between DOE and EPA. Participants do not become employees of EPA, DOE or the program administrator, and there are no employment-related benefits. Proof of health insurance is required for participation in this program. Health insurance can be obtained through ORISE.
Questions: Please see the FAQ section of our website. After reading, if you have additional questions about the application process please email ORISE.EPA.ORD@orau.org and include the reference code for this opportunity.