MS Position in Hydrological & Biogeochemical Modeling at Auburn University (Summer 2026) Auburn University in United States

Auburn University is offering a fully funded MS position in Hydrological & Biogeochemical Modeling, starting in Summer 2026. The research will focus on regional-scale hydrological and biogeochemical processes, utilizing large environmental datasets and advanced modeling techniques, including Bayesian estimation methods. The successful candidate will join the Singh Environmental Systems Lab, which is dedicated to advancing the understanding of hydrological and biogeochemical processes in response to climate change and environmental disturbances. The lab integrates empirical observations from both lab and field with process-based and statistical models, working across scales from watersheds to continental levels.

Applicants should have a strong background in hydrology, biogeochemistry, or environmental science, and be proficient in programming languages such as Python, R, or MATLAB. The position offers a competitive stipend, full tuition coverage, and health insurance. The advisor for this position is Dr. Nitin Singh, whose research group is actively engaged in water quality and hydrological modeling projects. The lab environment is collaborative and research-driven, providing opportunities to work on cutting-edge environmental science topics.

To apply, candidates should prepare a single PDF titled 'Graduate Student Application' that includes a CV, a 1-page cover letter, and GRE and TOEFL scores. Applications should be sent directly to Dr. Nitin Singh at [email protected]. The deadline for applications is Summer 2026, so early submission is encouraged. For more information about the lab and ongoing research, visit the Singh Environmental Systems Lab website.

Key research areas include hydrology, biogeochemistry, environmental modeling, Bayesian estimation, and the use of large datasets. This opportunity is ideal for students interested in environmental science, earth science, and quantitative modeling, and who are seeking to contribute to impactful research on water quality and ecosystem processes.