Position Description

Occupational Summary

Assists Dr. Brinnae Bent on a project titled Advancing Ecological Monitoring Through Explainable AI in Drone and Satellite-Based Marine Wildlife Surveys by participating in the research directly or in organizing a program under which the research is carried out. This classification is administered on Campus through the Office of the Provost and in the Medical Center through the Office of the Chancellor for Health Affairs. It is not subject to the Wage and Salary system.

Work Performed

Major responsibilities will include:

• Develop and train state-of-the-art object detection models (e.g., YOLOv9) to identify wildlife, including seabirds, humpback whales, harbor seals, sea otters, and oyster reefs, from drone imagery of natural habitats.

• Apply post hoc explainability techniques (e.g. Grad-CAM, LIME, example-based explanations) to existing drone and satellite-based wildlife detection models.

• Contribute to ecological research and conservation policy through more transparent and accurate explainable AI systems.

• Contribute to both model development and the application of explainability frameworks 

Required Qualifications at this Level

Education/Training:           An individual with academic credentials but without a doctorate and not a degree candidate

Experience:                       See job description for requirements. 

Skills:                               Exceptional analytic skills and synthetic judgment

                                           Solid research skills Exceptional written communication skills

                                           Self-starter; Can work with high autonomy

                                           High Emotional Intelligence Intrinsic interest in management, leadership, motivation and organizational performance