Description

Job Description

The Department of Civil and Environmental Engineering at Virginia Tech invites applications for a Postdoctoral Associate in the area of AI for hydrologic forecasting. The successful candidate will join Dr. Siddharth Saksena's research group, which focuses on advancing hydrologic modeling, flood forecasting, and hydroinformatics through the integration of artificial intelligence, physics-based models, and remote sensing technologies.

Required Qualifications

• Ph.D. in Civil or Environmental Engineering, Hydrology, Data Science, Geosciences, Computer Science, or a related field. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
• Demonstrated expertise in hydrologic/hydraulic modeling, machine learning, or hydroinformatics.
• Strong programming skills (e.g., Python, R, MATLAB, TensorFlow, PyTorch, or similar).
• Excellent communication skills.
• Strong publication record in relevant fields.

Preferred Qualifications

• Experience with deep learning architectures applied to geophysical or environmental data.
• Familiarity with physics-informed machine learning or hybrid modeling approaches.
• Experience working with large-scale hydroclimatic or remote sensing datasets.
• Experience with operational AI applications, including transitioning research models into deployable forecasting or decision-support systems.
• Demonstrated ability to work in collaborative, interdisciplinary research teams.
• At least three first-author peer-reviewed publications in a relevant journal

Overtime Status

Exempt: Not eligible for overtime

Appointment Type

Restricted

Salary Information

Commensurate with experience

Hours per week

40

Review Date

09/26/2025

Additional Information

Application to include at least three publications.

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 [email protected] during regular business hours at least 10 business days prior to the event.

Advertised: September 8, 2025
Applications close: