Postdoctoral Researcher

Summary of Job Duties

As a member of a multidisciplinary research team, the Postdoctoral Researcher will conduct research to advance novel machine learning and data harmonization approaches for water quality monitoring and assessment. Responsibilities include:

• Developing and validating computational methods to standardize and infer nutrient and sediment observations from existing datasets.
• Evaluating impacts of expanded datasets on watershed-scale assessments.
• Developing and maintaining open-source software tools and R packages.
• Disseminating findings through publications and presentations.
• Collaborating with university and federal partners to improve national water quality science and decision support.

Qualifications

• Ph.D. in Biological Engineering, Agricultural Engineering, Environmental Engineering, Civil Engineering, Environmental Science, Hydrology, Data Science, Computer Science, Statistics, Geography, Water Resources, or a closely related field from an accredited institution of higher education.
• Preferred qualifications include:
• Experience applying machine learning or artificial intelligence methods to environmental, hydrologic, or water quality datasets.
• Strong computational background in statistical modeling, reproducible workflows, and large-scale data processing.
• Experience with water quality, nutrient, sediment, watershed, or hydrologic datasets.
• Experience developing, maintaining, and documenting open-source software tools or R packages.
• Demonstrated record of peer-reviewed publications.
• Experience collaborating with interdisciplinary teams and/or federal agencies (e.g., USGS).
• Familiarity with version control systems (Git/GitHub) and open science practices.

Additional Information

• This position is renewable annually based on continued need for the position, availability of funding, and satisfactory job performance.

Special Instructions to Applicants

• To apply, upload cover letter, resume, statement of research philosophy, and other required documents to the University of Arkansas System Career Site.
• Pre-employment screening requirements include a criminal background check, sex offender registry check, and possibly financial, MVR, and drug screening.

Benefits Eligibility

Yes