Post Doctoral Fellow - INFO SCI TECHNOLOGY

Post Doctoral Fellow - INFO SCI TECHNOLOGY

• 496974
• Full-Time
• INFO SCI TECHNOLOGY

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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.

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 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.