The Johns Hopkins University's Department of Environmental Health & Engineering, in cooperation with the new Johns Hopkins Data Science and Artificial Intelligence (DS/AI) Institute, seeks applicants for tenured or tenure-track faculty positions focused on leveraging and developing DS and AI tools for environmental engineering, science, and public health applications. Candidates should have demonstrated excellence in research harnessing and creating new DS/AI/deep learning/machine learning/big data tools, and strong fundamental training in environmental engineering/science, hydrology, atmospheric science, environmental chemistry/microbiology, or related discipline.
Although we will consider candidates who work in any environmental topical area, we specifically seek candidates in three thrust areas:
Applications are particularly welcome from candidates who have demonstrated expertise in developing new DS/AI methods that would be of potential utility in other engineering and science fields, and who would be qualified for joint appointments in one of the three core departments of the new JHU DS and AI Institute.
The Department of Environmental Health and Engineering, a cross-divisional department spanning the Whiting School of Engineering and the Bloomberg School of Public Health, has approximately 50 tenured/tenure-track and 40 non-tenure-track faculty members. We embrace the vision outlined in the National Academy report Environmental Engineering for the 21st Century: Addressing Grand Challenges. We strive to make JHU the world leader in understanding how environmental change affects human health and welfare, and in finding solutions that improve the health of the planet, communities, and people. We invite candidates who share our vision to apply for this position.
Tagged as: Life Sciences
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