Watershed Modeling Jobs (NOW HIRING)

Research Scientist - Hydroinformatics, Adaptive AI, and Watershed Modeling
Job no: 536699
Work type: Research Faculty
Senior management: College of Engineering
Department: Civil & Environmental Engineering
Location: Blacksburg, Virginia
Categories: Engineering, Research / Scientific
Job Description
The Department of Civil and Environmental Engineering at Virginia Tech invites applications for a Research Scientist in Hydroinformatics, Adaptive AI, and Watershed Modeling. The successful candidate will join Dr. Siddharth Saksena's research group (the "FLOODGEEKS") to lead the technical execution and expansion of advanced watershed management frameworks. The primary research mission is to develop next-generation forecasting and nutrient loading estimation engines.
Required Qualifications
• Ph.D. in Civil or Environmental Engineering, Hydrology, Data Science, Geosciences, Computer Science, or a related quantitative field.
• Demonstrated expertise in process-based watershed modeling, hydroinformatics, or water quality simulation.
• Advanced programming skills in Python (specifically for model automation, machine learning pipelines, or geospatial big data processing) and/or R.
• Proven track record of grant writing and contributing to competitive research proposals for federal or state funding agencies.
• Strong peer-reviewed publication record in reputable hydrology, water resources, or environmental modeling journals.
• Excellent communication skills, with a demonstrated ability to present complex computational workflows to engineering and non-engineering audiences alike.
Preferred Qualifications
• Familiarity with physics-informed machine learning (PIML), deep learning architectures for time-series forecasting (e.g., LSTMs, Transformers), or adaptive AI agents.
• Experience working with large-scale meteorological forcing datasets (e.g., MRMS, HRRR, climate reanalyses) and satellite-derived surface observations.
• Experience building, documenting, and maintaining open-source toolkits or Python APIs for environmental model automation.
• Demonstrated experience working in collaborative, interdisciplinary teams that directly interface with water resource managers, utilities, or environmental stakeholders.
Overtime Status
Exempt: Not eligible for overtime
Appointment Type
Restricted
Salary Information
Starting at $79,000; commensurate with experience
Hours per week
40
Review Date
6/29/2026
Additional Information
The successful candidate will be required to have a criminal conviction check.
About Virginia Tech
Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.
Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
If you are an individual with a disability and desire an accommodation, please contact Dr. Siddharth Saksena at siddha1@vt.edu during regular business hours at least 10 business days prior to the event.
Advertised: June 15, 2026
Applications close:
Whatsapp Facebook LinkedIn Email App