Superfund Research Program/IDSS: Postdoctoral Associate

POSTDOCTORAL ASSOCIATE, Institute for Data, Systems, and Society (IDSS), to join a multidisciplinary research team working with the MIT Superfund Research Program using data science techniques to integrate environmental modeling and data on biological responses to mixtures of contaminants. The project aims to better understand how modeling data can be used to better understand both exposure to and biological responses from polycyclic aromatic hydrocarbons (PAHs), as well as the pathways of exposure to multiple substances including PFASs in the Northeast U.S. using multiple methods. Will work with Professor Noelle Selin together with collaborating groups in both engineering and biological sciences to analyze data and to ensure that outputs are findable, accessible, interoperable, and reusable (FAIR). Potential analysis techniques include data driven modeling and machine learning algorithms. Through the Superfund Research Program, engagement with stakeholder communities will also be a core part of the research process.

Job Requirements
REQUIRED: Ph.D. in an area of relevance to environmental modeling or data science applied to environmental science or health; strong analytical skills and experience with data science and open data; oral and written communication skills; ability to work effectively in an interdisciplinary environment; and commitment to participating in collaborative Superfund Center activities. Job #18153

This will be a one-year appointment beginning on December 1, 2019, or a later mutually agreed upon date, renewable based upon satisfactory performance and funding.

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