[ES_JOBS_NET] Ph.D. position in global carbon cycling and environmental data sciences

[Tao Wen]

The Hydrogeochemistry And eNvironmental Data Sciences (HANDS) Research Group (http://jaywen.com/ <http://jaywen.com/>) at the Department of Earth and Environmental Sciences, Syracuse University (https://thecollege.syr.edu/earth-sciences-department/ <https://thecollege.syr.edu/earth-sciences-department/>) is seeking Ph.D. applicants interested in assessing the carbon and water fluxes from the land water systems using machine learning techniques, hydrological modeling, and Earth system modeling. The graduate student will be fully funded and would have access to computing facilities at NCSA/SDSC.

Required/preferred qualifications:
B.S. in geology/geochemistry/hydrology/hydrogeology or relevant fields; M.S. degree is preferred.
Knowledge about earth surface processes, low-temperature geochemistry, and critical zone sciences (e.g., rock weathering and water-rock interactions).
Excellent written and oral communication skills.
Programming skills in R or Python are preferred.
If you are interested or have questions, please contact Dr. Tao Wen as soon as possible (twen08 at syr.edu <mailto:twen08 at syr.edu>). Please include a copy of CV, a brief description of any prior research activities (note: prior research experience is not required for admission!), and your current research and educational interests. The expected starting date is Spring/Fall 2023 with Spring 2023 as the preferred starting date. Application instructions are available here (https://thecollege.syr.edu/earth-sciences-department/graduate-programs-earth-sciences/application-information/).


Dr. Tao Wen is a hydrogeochemist with additional expertise in environmental data sciences, driven by a research interest at the interface between humankind and water cycle. Wen’s group uses field-based and laboratory-based approaches (e.g., noble gases, stable isotopes, and water chemistry) to shed light on the environmental implications of human activities on water resources. Data mining and machine learning algorithms are also extensively used by Wen’s group to explore the spatiotemporal patterns of water quantity and quality in the coupled natural and human system.


Tao Wen (he/him/his)
Assistant Professor
Department of Earth and Environmental Sciences
Heroy Geology Laboratory, Room 319B
141 Crouse Drive, Syracuse, NY 13244
M 734.730.8814      E-mail twen08 at syr.edu <mailto:twen08 at syr.edu>
Twitter @jaywt <https://twitter.com/jaywt>       Website jaywen.com <http://jaywen.com/>
Syracuse University    


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