Postdoctoral Research Fellow - Subsurface Imaging & ML

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

Job summary

University of Houston invites applications for a research-focused position in subsurface imaging and data analytics at its Sugar Land campus. The role emphasizes advanced computational methods, high-performance computing, and reproducible research practices within a collaborative academic environment.

Qualified candidates will hold a PhD in Geophysics, Earth Science, EE, Applied Mathematics, CS, Computational Science, or related fields and demonstrate strong coding skills (Python, MATLAB, C/C++,

Qualifications

• PhD in Geophysics, Earth Science, Electrical Engineering, Applied Mathematics, Computer Science, Computational Science, or related field.
• Strong research experience in subsurface imaging, data analytics, scientific computing and computational methods.
• Proficiency with Python, MATLAB, C/C++, Julia or similar languages; experience with scientific computing environments.

Responsibilities

• Receives and reviews progress and evaluates results of experiments or projects under control or supervisory responsibility.
• Recommends changes in research, testing or experimental procedures.
• May oversee a highly technical and complex piece of research equipment.
• May plan for and assign personnel to projects under control.
• Operates with latitude for independent action.
• Performs other job-related duties as required.

Skills

Subsurface imaging

Data analytics

Scientific computing

Computational methods

High-performance computing

Education

PhD in Geophysics / Earth Science / EE / Applied Mathematics / CS / Computational Science or related field

Tools

Python

MATLAB

C/C++

Julia

Job description

University of Houston invites applications for a research-focused position in subsurface imaging and data analytics at its Sugar Land campus. The role emphasizes advanced computational methods, high-performance computing, and reproducible research practices within a collaborative academic environment.

Qualified candidates will hold a PhD in Geophysics, Earth Science, EE, Applied Mathematics, CS, Computational Science, or related fields and demonstrate strong coding skills (Python, MATLAB, C/C++,