Post Doctoral Fellow - INFO SCI TECHNOLOGY - (496974 )

University of Houston; Houston (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

The University of Houston is seeking a highly qualified researcher to advance subsurface imaging, data analytics, and computational science. The candidate will contribute to cross-disciplinary projects at the Sugar Land campus, leading analyses and developing reproducible software for complex datasets.

The role emphasizes strong programming in Python/MATLAB/C/C++ or Julia, collaboration, and clear scholarly communication across teams.

Qualifications

• PhD in Geophysics or closely related field is required.
• Experience with subsurface datasets and seismic data is desirable.
• Strong programming and scientific computing skills in Python, MATLAB, C/C++, or Julia.
• Ability to communicate scholarly research and collaborate across disciplines.

Responsibilities

• Reviews progress and evaluates results of experiments or projects under supervision.
• Recommends changes in research, testing or experimental procedures.
• May be responsible for a highly technical and complex research instrument.
• Reviews and evaluates the effectiveness of personnel.
• Plans for and assigns personnel to projects under control.
• Operates with latitude for unreviewed action.
• Receives general supervision with direction from higher levels when needed.
• Performs other job-related duties as required.

Skills

Geophysics

Subsurface imaging

Data analytics

Computational methods

Physics-informed ML

Statistical learning

Uncertainty quantification

Multimodal data integration

Scientific visualization

High-performance computing

Education

PhD in Geophysics

PhD in Earth Science

PhD in Electrical Engineering

PhD in Applied Mathematics

PhD in Computer Science

PhD in Computational Science

Tools

Python

MATLAB

C/C++

Julia

Job description

Department: INFO SCITECHNOLOGY Salary: Commensurate with experience & education

Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops understanding and skills to allow for completion of assignments that cross fields of specialization. Develops leadership and management skills.

1. Receives/Reviews progress and evaluates results of experiments or projects under control or supervisory responsibility.
2. Recommends changes in research, testing or experimental procedures.
3. May be responsible for a single highly technical and complex piece of research equipment.
4. May review and evaluate the effectiveness of personnel.
5. May plan for and assign personnel to projects under control.
6. Operates with latitude for unreviewed action.
7. May receive general supervision conferring with higher levels only in unusual situations.
8. Performs other job-related duties as required.

We seek a candidate with strong research experience in subsurface imaging, data analytics, scientific computing, and computational methods for complex scientific data. A Ph.D. in Geophysics, Earth Science, Electrical Engineering, Applied Mathematics, Computer Science, Computational Science, or a closely related field is required. The ideal candidate will have demonstrated expertise in several of the following areas: image reconstruction, inverse problems, data analytics, numerical optimization, physics-informed machine learning, statistical learning, uncertainty quantification, multimodal data integration, scientific visualization, high-performance computing, and reproducible research software.

Experience working with seismic, acoustic, borehole, geological, or other subsurface datasets is desirable. Strong programming skills in Python, MATLAB, C/C++, Julia, or similar languages; experience with modern scientific-computing environments; and strong technical communication, scholarly writing, and collaborative research skills are also preferred. Primary worklocation will be University of Houston, Sugar Land campus.

MQ: Requires singular knowledge of a specialized advanced professional discipline or the highest level of general business knowledge, normally acquired through attainment of a directly job-related terminal degree or equivalent formal training in a recognized field of specialization that is directly related to the type of work being performed.

No experience is required.

All positions at the University of Houston-System are security sensitive and will require a criminal history check.

The University of Houston System and its universities are Equal Opportunity Institutions. Everyone is encouraged to apply.