Post Doctoral Fellow - Earth & Atmospheric Sciences

Department :Earth & Atmospheric Sciences 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.

Position Description The successful candidate will conduct research at the intersection of artificial intelligence (AI), process-based modeling, and extreme-event science. The postdoctoral researcher will develop and apply advanced modeling approaches to investigate extreme events, such as flooding and wildfires, and assess their impacts on ecosystems, environmental systems, and human communities. The postdoctoral researcher will be expected to contribute to model development and evaluation, data analysis, manuscript preparation, presentation of research results at scientific conferences, and collaboration with interdisciplinary research teams. Preferred Qualifications -Ph.D. in Hydrology, Atmospheric Science, Remote Sensing, Environmental Science, Computer Science, Geographic Information Science, -Earth Science, or a closely related field.

• Strong quantitative and modeling skills, with experience in one or more of the following areas:
• -Machine learning or deep learning
• -Process-based environmental modeling
• -Remote sensing and geospatial data analysis
• Strong programming skills, particularly in Python or related scientific computing environments.
• Strong written and oral communication skills.

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. #J-18808-Ljbffr University of Houston