Post Doc Fellow, Department of Chemical and Environmental Engineering

Job Overview

The Terrestrial Hydrology Lab in the Department of Chemical and Environmental Engineering at the University of Cincinnati invites applications for a post-doctoral researcher. This role is central to a NASA-funded project dedicated to developing an advanced early warning system for river water quality management.

The research focuses on the hindcast and forecast of riverine turbidity and harmful algal blooms (HABs) by leveraging satellite observations and machine learning. By collaborating with end-user partners and developing user-centered data and tools, this project will bridge the gap between Earth observation data and actionable water quality management.

The initial appointment is for one (1) year, with potential renewal for an additional two (2) years contingent upon performance and funding. The start date is flexible between June 2026 and August 2026.

Essential Functions

The successful candidate will be expected to:

• Develop and implement a machine learning/deep learning model to systematically integrate multi-source Earth observations for predicting river turbidity and HABs.
• Work closely with the science team and end-user partners to develop user-centered tools and implementation protocols that improve water quality decision-making.
• Lead peer-reviewed publications and present research findings at major conferences.

Required Education

A Ph.D. in Hydrology, Geosciences, Environmental Engineering, Water Resources, Computer Science, Statistics, or a related field (must be conferred by the start date).

Required Experience

• In-depth knowledge of specialized field, process or discipline.
• May require experience with specialized software programs.

Additional Qualifications Considered

• Strong background in satellite remote sensing and surface water quality processes.
• Experiences in machine learning/deep learning, surface water quality modeling, and high-performance computing.
• Demonstrated written and verbal communication skills, with a track record of leading high-quality scientific publications.
• Experience in data visualization and the development of decision-support tools.

Physical Requirements/Work Environment

Office environment/no specific unusual physical or environmental demands.