Description
This MS-level assistantship at the University of Illinois Springfield offers students the chance to apply Geographic Artificial Intelligence (GeoAI) to critical ecological research and environmental monitoring projects.
Target Audience
Level: Postgraduate (Master of Science)
Funding Coverage Breakdown
Successful candidates will receive a comprehensive support package for two years, including:
- Tuition Waiver: Full coverage of tuition fees.
- Stipends: Financial support provided during the fall and spring semesters.
- Summer Income: Guaranteed earnings working as a field technician during the summer.
- Additional Support: Funding for research activities and professional development opportunities.
Key Research Areas
Students will be co-advised by Dr. Yun Zhao and Dr. Tih-Fen Ting. Potential thesis topics include:
- Wildlife conservation applications
- Monitoring invasive species
- Habitat restoration and management
Eligibility Criteria
To be considered, applicants must meet the following requirements:
- Educational Background: A degree in Ecology, Environmental Science, Conservation, or Computer Science.
- Academic Excellence: A proven track record of high academic performance.
- Technical Skills: Experience with GIS (Geographic Information Systems) and statistics is essential.
- Soft Skills: Strong quantitative abilities, excellent writing skills, and a high level of attention to detail.
- Physical Requirements: Ability to perform field work for extended periods.
Application Process
Interested students should email the following documents to Dr. Tih-Fen Ting at tting1@uis.edu:
- Cover Letter: Detail your background, specific research interests, and why you are qualified.
- Resume/CV: Include contact details for three professional or academic references.
- Transcripts: Unofficial or scanned copies are currently accepted.
Note: Shortlisted candidates will be invited to submit a formal application to the university's Graduate Assistantships program.
Important Deadlines
Application Deadline: April 12, 2026 (Applications are reviewed on a rolling basis, so early submission is encouraged).
Program Start Date: August 16, 2026.
