Post Doctoral Research Fellow - Geosciences

Hiring Department

The University of Texas Permian Basin's Department of Geosciences welcomes applications for the position of Post Doctoral Research Fellow

Salary Range

$60,000.00 depending on qualifications

Essential Functions

Reporting to the Pl and CO-ls of the Permian Regional Carbon Sequestration Hub team at UTPB, the postdoctoral research associate will serve as a key member of a multidisciplinary research team. The successful candidate will develop and refine subsurface geological and geophysical models to support safe and effective CO2 storage operations. This role is critical for assessing reservoir characteristics and guiding CCUS strategies in the Permian Basin. This position is located on the UTPB Main campus in Odessa, TX (Hybrid or Remote employment is not possible).

1. Conduct original, independent research on subsurface geological models tailored to CO2 storage applications.
2. Analyze seismic, well log, and core data to build accurate 3D geomodels.
3. Integrate geophysical and geological datasets to evaluate reservoir quality and storage capacity.
4. Present research findings in technical reports, internal meetings, and at professional conferences.
5. Participate in fieldwork as required to collect and verify data as necessary.

Required Qualifications

1. PhD in Geosciences or a related discipline with a focus on subsurface modeling.
2. A strong record of scientific publication and research performance in subsurface geomodeling or related fields.
3. Proficiency with advanced geophysical and geological modeling software (., Petrel, Techlog, Kingdom, .
4. Excellent analytical, quantitative, and communication skills with the ability to work independently and collaboratively.

Preferred Qualifications

1. Hands-on experience with CCUS or CO2 storage research projects.
2. Proficiency in industry-standard software for well log analysis and quantitative seismic interpretation.
3. Experience integrating multi-source geoscience data into comprehensive 3D models.
4. Familiarity with statistical analysis and machine learning techniques applied to geoscience data.
5. Demonstrated ability to work with industry partners.