Professor, Dept. of Environmental Resources Engineering, SUNY ESF

Ph.D. Fellowship on Deep Learning in Remote Sensing

Ph.D. Fellowship on Deep Learning in Remote Sensing

The Intelligent Geocomputing Lab at State University of New York College of Environmental Science and Forestry (SUNY ESF) is looking for a Ph.D. student to advance remote sensing analysis through the use of deep learning methods. The position will offer a stipend with health benefits along with a tuition waiver. Experience in machine learning methods and strong programming skills are expected. While familiarity with remote sensing analysis is preferable, candidates with technical backgrounds from other fields and interest in geospatial applications are encouraged to apply.

Expected qualifications:
– a master’s degree in engineering, computer science, physics, geography or related disciplines
– strong statistical and programming background
– experience with machine learning methods
– excellent English verbal and writing communication skills
– ability to collaborate and lead in a group environment

Preferred qualifications:
Experience with image analysis, deep learning methods and a relevant journal publication

Appointment details:
The position includes an annual stipend of $21,000-$24,000 (depending on qualifications), health insurance and a tuition waiver. This is a four-year position, renewed annually based on satisfactory performance. Expected start date is Summer 2022. The position is based at SUNY ESF’s campus in Syracuse, NY, and the selected candidate is expected to be physically present. The position is open to domestic and international students, although preference will be given to US citizens/green card holders.

Application Procedure:
Interested candidates should apply in one of the two programs below requesting Dr. Giorgos Mountrakis as their advisor:
Environmental Resource Engineering – Option Area: Geospatial Information Science and Engineering
Graduate Program in Environmental Science – Study Area: Ecosystems: Land, Water and Air
Candidate’s statements should specify how they meet each of the required and preferred qualifications. Please submit applications by Jan. 15, 2022.
Begin the formal application process with ESF’s graduate school at https://apply.esf.edu/apply/. All questions regarding this process should be directed to esfgrad@esf.edu. Inquiries specific to the position details should be addressed to Dr. Mountrakis at gmountrakis@esf.edu. Please include your CV and GRE scores in the email correspondence.