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 Saksenas 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 mottoUt 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 aninclusive communitydedicated to knowledge discovery and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36000 undergraduate graduate and professional students in eightundergraduate colleges aschool of medicine aveterinary medicinecollegeGraduate School andHonors 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 numerousExtension officesandresearch 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 during regular business hours at least 10 business days prior to the event.
Required Experience:
IC
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