The University of Illinois Springfield (UIS) is offering a fully funded M.S. Graduate Research Assistantship in GeoAI and Environmental Monitoring. This opportunity is open to both domestic and international students with a strong background in relevant fields.
This two-year position focuses on using GeoAI (Geospatial Artificial Intelligence) for ecological research and environmental monitoring. It provides valuable hands-on experience in combining GIS, remote sensing, AI techniques, and fieldwork for real-world conservation challenges.
Key Details
- Position: M.S. Graduate Research Assistantship (GeoAI for Ecological Research / Environmental Monitoring)
- Department: School of Integrated Sciences, Sustainability, and Public Health, College of Health, Science, and Technology
- Location: Springfield, Illinois, United States
- Start Date: 16 August 2026 (fall semester)
- Duration: Two years
- Advisors: Co-advised by Dr Yun Zhao (GIS Lab Director, expertise in geospatial techniques, remote sensing, AI integration for environmental monitoring) and Dr Tih-Fen Ting (Associate Professor, environmental studies focus)
Research Focus
The selected student will apply GeoAI tools to projects in ecological and environmental applications. Potential thesis topics include:
- Habitat management and restoration
- Invasive species monitoring
- Wildlife conservation applications
This role combines quantitative analysis, GIS/statistics, and field-based data collection.
Benefits and Funding
The assistantship is fully funded and includes:
- Full tuition waiver
- Annual stipend of $20,250 (for spring and fall semesters; note: some sources list starting at $20,025 – confirm with advisor)
- Additional summer income as a field technician
- Research support (e.g., equipment, travel)
- Professional development opportunities
The position typically requires 20–40 hours per week.
Eligibility and Requirements
Applicants must have:
- A bachelor’s degree in ecology, conservation biology, environmental science, computer science, or a closely related field
- Strong writing and quantitative skills
- Coursework and substantial practical experience with GIS and statistics
- Proven high academic performance
- Ability to conduct extended fieldwork (outdoor endurance required)
- Strong work ethic and excellent attention to detail
A background in relevant software/tools (e.g., remote sensing, programming for AI/GIS) is advantageous, though not strictly listed as required.
Required Application Documents
Prepare and submit the following:
- Cover letter – Address your background, qualifications, and specific research interests (align with GeoAI/ecological applications)
- CV/résumé – Include contact details for three professional/academic references
- Transcripts – Unofficial or scanned copies are acceptable
How to Apply – Step-by-Step Guide
- Prepare your documents – Compile your cover letter, CV (with three references), and transcripts into clear, professional files (PDF recommended).
- Email your application – Send all materials directly to Dr Tih-Fen Ting at [email protected] as soon as possible. Use a clear subject line, e.g., “Application: M.S. Graduate Research Assistantship – GeoAI Environmental Monitoring”.
- Apply early – The deadline is no later than 12 April 2026, but review begins immediately and continues until the position is filled. Early submission is strongly encouraged.
- Follow up if selected – Suitable candidates will be invited to submit a formal application to the UIS Graduate Assistantships programme (and potentially to a relevant master’s programme, such as Environmental Studies).
- Contact for questions – Email Dr Tih-Fen Ting at [email protected] (preferred) or phone (217) 206-7876. For more on the lab, visit the Ting Lab website.