APPLICATION DEADLINE: Search will be open until filled. First consideration will be given to applications received by December 3, 2018. Second consideration may be given to applications received by January 15, 2019. Applications received subsequent to the second consideration date (January 15, 2019) may not be given full consideration.
The position will be an academic year appointment with an expected start date of September 2019.
The Department of Environmental and Natural Resource Economics at the University of Rhode Island invites applications for a tenure-track Assistant Professor. We seek applicants addressing high impact topics across the spectrum of environmental and natural resource management issues with focus on the development of innovative approaches to big data analysis, machine learning, and other high performance computing applications. The successful candidate will have the unique opportunity to interact with the active Big Data Initiative and High Performance Computing community at URI.
We invite individuals with a strong commitment to research, teaching, experiential learning and mentorship at the undergraduate and graduate levels. The successful candidate will generate an internationally recognized program of research and scholarship at the intersection of science, human behavior, and the environment. The candidate is expected to contribute to teaching and experiential learning, exposing graduate and undergraduate students to the latest methods and technological advances, with the potential for interdisciplinary course offerings at the cutting edge of modern computer-assisted research. The successful candidate will be expected to contribute to undergraduate (B.S.) and graduate program (M.S. and Ph.D.) in Environmental and Natural Resource Economics.
Develop an externally funded research program, teach graduate and undergraduate classes, and support public engagement.
1. A Ph.D. or equivalent in economics, applied economics, public policy, or a closely related field with training in PhD level economics (at time of appointment date).
2. Demonstrated record of applying or developing innovative approaches to big data analysis, machine learning, or other high performance computing applications as demonstrated by publications, presentations at scientific meetings, dissertation, or ongoing research.
3. Demonstrated ability to develop independent research program as shown, for example, by research statement, lead author publications, funded grants or awards.
4. Demonstrated proficiency in oral communication skills.
5. Demonstrated proficiency in written communication skills.
6. Demonstrated research strengths and teaching ability that complement existing programs in the College of Environmental and Life Sciences and the Big Data Initiative.
7. Demonstrated ability to work with diverse groups/populations.
1. Demonstrated experience in interdisciplinary collaborations.
2. Demonstrated teaching and/or mentoring experience.
3. Demonstrated previous success with research funding.
ALL REQUIREMENTS ARE SUBJECT TO POSSIBLE MODIFICATION TO REASONABLY ACCOMMODATE INDIVIDUALS WITH DISABILITIES
Union AAUP - American Assoc of Univ Professors
Status Academic Year, Full-time, Tenure-track, Permanent