Post Doctoral Fellow - INFO SCI TECHNOLOGY

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

Department: INFO SCI TECHNOLOGY Salary: Commensurate with experience & education

Description

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.

• Receives/Reviews progress and evaluates results of experiments or projects under control or supervisory responsibility.
• Recommends changes in research, testing or experimental procedures.
• May be responsible for a single highly technical and complex piece of research equipment.
• May review and evaluate the effectiveness of personnel.
• May plan for and assign personnel to projects under control.
• Operates with latitude for unreviewed action.
• May receive general supervision conferring with higher levels only in unusual situations.
• 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 work location 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.