• Perform complex scientific analyses
• Adjust experimental designs as necessary based on experimental data analysis
• Direct the development of recommendations for project solutions
• Perform peer review of scientific projects, studies, or applications and making recommendations
• Prepare peer reviewed publications or presentations
• Resolve complex project specific technical and regulatory issues
• Establish work priorities and performance standards, hiring, training, evaluating staff, assigning, and reviewing work
• May be responsible for technical project management to include developing the scope of work, budgeting, scheduling, reporting, implementing field projects, and approving scientific documents
• Participate in the development of grant proposals as named project contributor
• Other duties as assigned

Required Experience:

• Three years of research experience related to the domain of this position

Required Education:

• Doctoral Degree in Hydrology, Engineering, Hydrogeology, Environmental Science, or other related discipline. A Master’s Degree plus an additional two years of research experience (Five years total) may be substituted for a Ph.D.

Additional Preferred:

• Experience with experimental design and complex data analysis
• Demonstrating ability to work independently
• Demonstrated expertise in one or more of the following areas: big data analytics, hydrologic modeling, remote sensing, machine learning
• Technical proficiency with quantitative data analytics and workflows (e.g. R, Python, GIS, GitHub)
• Experience with machine learning, Google Earth Engine, remote sensing data
• Geovisualization of hydrologic data
• Experience conducting interdisciplinary or community-engaged research and demonstrated success in working collaboratively across disciplines with a range of stakeholders
• Strong written and oral communication skills including peer-reviewed journals and experience communicating with non-academic audiences
• Record of two or more lead-author publications in peer reviewed journals