A researcher with a strong background in hydrology, numerical/analytical modeling, programming, and data management/analytics is needed to support existing and forthcoming projects in the Bureau of Economic Geology hydro group.
We are seeking highly motivated candidates for postdoctoral fellow positions within the Bureau's hydrology research group. These fellows will be key members of an expanding research program focused on assessing Texas water resources and systems in service to our mission as the state geological survey. The current research program objectives are: (a) synthesize a full suite of Texas water resource and system data into a common spatiotemporal framework, (b) develop a web-based product to deliver accessible and actionable water resource and system information to stakeholders, (c) assess the historical impact of drought and flood on water resources and systems, and (d) evaluate drought and flood risk and resilience. This research program is anticipated to yield significant insights for Texas water resource management and planning processes as well as to provide a strong foundation for further research projects.
Each position term is subject to performance as well as research program needs and funding. Multiple postdoctoral fellow positions are initially available, and candidates are strongly encouraged to review Preferred Qualifications to determine which position is best aligned with their skills and experience.
Responsibilities include:
Ph.D. acquired within the last three years in Earth Science (e.g. Hydrology, Hydrogeology, Geology, Geography), Civil Engineering, or closely related field. Demonstrated experience and aptitude in a hydrology context with: (a) data analytics, wrangling, management, and synthesis, (b) numerical and analytical modeling environments (e.g. Python), (c) geoprocessing and GIS analytics, and (d) data-driven model development. Demonstrated ability to meet deadlines and effectively disseminate research project results to professional peers. Excellent written and oral communication skills. Professional demeanor and strong interpersonal skills.
Aptitude and experience with: (a) predictive machine and deep learning techniques, (b) statistical analysis, (c) hands-on experience using models such as convolutional neural networks (CNNs), generative AI methods such as diffusion models, and interpretability techniques commonly applied in hydrology including SHAP or LIME for explaining outputs of forecasting models, (d) experience in using high performance computing systems with multiple nodes and GPUs and (e) drought metrics. Familiarity with Texas water resources and management practices. Experience working within an integrated team of scientists, engineers, and economists in a dynamic environment.
$65,000+ depending on qualifications.
Tagged as: Life Sciences
The Shiyu Xia Lab in the Department of Chemical and Biomolecular Engineering, College of Chemistry at University of California, Berkeley...
ApplyPostdoctoral Fellow, Center for Water and the Environment Hiring Department: Fariborz Maseeh Department of Civil, Architectural and Environmental Engineering Position...
ApplyPost-Doctoral Fellowship in Interventional MRI The primary work for this fellowship will be in the area of bariatric interventions in...
ApplyPost Doc – Data Analytics & Computational Sciences Our expertise in Innovative Medicine is informed and inspired by patients, whose...
ApplyThe Xin Cai Lab at UT Southwestern Medical Center, Dallas, TX (www.xincailab.com or https://labs.utsouthwestern.edu/cai-xin-lab) is recruiting postdoc candidates with an...
ApplyPostdoctoral Position in Infectious Diseases-Allan-Blitz (PI) 2025-2026 The Division of Infectious Diseases in the Department of Medicine, David Geffen School...
ApplyPlease visit utaustin.wd1.myworkdayjobs.com.
Don't forget to mention that you found the position on jobRxiv!
