Quantitative Ecology Grad Fellow (MS/PhD) with Stipend

Conservation Opportunity; Durham (NH); On-site; USD 28,000 - 35,000; Full time

Job summary

The Quantitative Marine Ecology Lab at the University of New Hampshire is seeking 1-2 motivated graduate students (MS or PhD) to begin in Fall 2026. Students will work with secondary datasets such as eBird and BioTime to study optimal designs for long-term ecological monitoring programs.

Salary includes a yearly stipend of $31,520, plus tuition and health insurance coverage. Applicants should have a strong background in data science or mathematical modeling and be prepared to expand skills in R

Qualifications

• Strong background in data science or mathematical modeling.
• Experience with or willingness to expand skills in: R programming and quantitative methods (statistics, mathematical modeling, decision science).
• Commitment to collaborative research in ecology.

Responsibilities

• Use secondary datasets (e.g., eBird, BioTime) to investigate questions about optimal design of long-term ecological monitoring programs.
• Collaborate with the lab to design, implement, and communicate research findings.

Skills

Data science background

Mathematical modeling

R programming

Education

MS or PhD candidate in a relevant field

Tools

R

Job description

The Quantitative Marine Ecology Lab at the University of New Hampshire is seeking 1-2 motivated graduate students (MS or PhD) to begin in Fall 2026. Students will work with secondary datasets such as eBird and BioTime to study optimal designs for long-term ecological monitoring programs.

Salary includes a yearly stipend of $31,520, plus tuition and health insurance coverage. Applicants should have a strong background in data science or mathematical modeling and be prepared to expand skills in R