Research Associate (Hydrologist/Geomorphologist)
To lead and conduct interdisciplinary research to understand, in various geological settings, environmental processes from remotely-sensed and ground-based monitoring, geological hazards (including floods, droughts, fires), and water resources based on monitoring and modeling analyses (including regional and land surface models). Research tools could include digital soil mapping, numerical modeling using different computing platforms, including high performance computing, and field measurements.
- Perform fundamental research in the areas of environmental processes relating to water resources and associated geological hazards including floods, droughts, and fires.
- Obtain research funding in water resources and related geologic hazards.
- Develop new programs in landscape research.
- Present project results to funding agencies.
- Publicize research findings in reports, peer-reviewed journals and books.
- Present research results at professional meetings, and national and international technical conferences.
- Participate in outreach with state agencies and/or companies.
- Provide service to professional societies, the Bureau of Economic Geology and the Jackson School of Geosciences. Serve on committees as needed.
Ph.D degree, or Master's degree with five years of experience, related to water resources, geological sciences, environmental geology, and/or landscape geomorphology. Experience in monitoring and modeling water resources and landscape processes including recharge, surface runoff, soil moisture, etc. Proven record of scientific publication commensurate with experience. Proven ability to develop funding for new projects. Excellent written and verbal communication skills. Demonstrated ability to meet deadlines and deliverables.
Relevant education and experience may be substituted as appropriate.
Ph.D. degree, with experience in research conducted in various environments from warm deserts to cold regions. Numerical modeling experience in HPC environments; working knowledge in and ability to develop machine learning algorithms in various programming languages. Broad and diverse research interests, skills, and experiences. Willingness to adapt to changing research programs and project needs. Professional demeanor and good interpersonal skills.