Postdoc: AI-Driven Flow Estimation & Control

University of Virginia; Charlottesville (VA); On-site; USD 53,000 - 58,000; Full time

Job summary

The Autonomous Flow Interaction (AFI) Laboratory in the Department of Mechanical and Aerospace Engineering at University of Virginia is seeking a Postdoctoral Research Associate to advance estimation and control of aero- and hydrodynamic flows for autonomous flight and underwater propulsion.

The successful candidate will develop and implement efficient numerical methods for flow modeling, estimation, and control, contributing to both model-based and model-free adaptive approaches, within a

Qualifications

• PhD required by start date; within 5 years post-PhD.
• Research experience in AI/ML for fluid dynamics, reduced-order modeling, or flow control.
• Experience with numerical methods for flow modeling and estimation is a plus.

Responsibilities

• Develop, implement, and analyze efficient numerical methods for flow modeling, estimation, and control.
• Work as an algorithm developer within the AFI Lab on model-based and model-free adaptive approaches.

Skills

AI/ML for fluid dynamics

Low-order modeling

Linear Robust Control

Nonlinear Adaptive Control

Experimental flow measurement

Education

PhD in Mechanical or Aerospace Engineering, Mathematics or related field

Job description

The Autonomous Flow Interaction (AFI) Laboratory in the Department of Mechanical and Aerospace Engineering at University of Virginia is seeking a Postdoctoral Research Associate to advance estimation and control of aero- and hydrodynamic flows for autonomous flight and underwater propulsion.

The successful candidate will develop and implement efficient numerical methods for flow modeling, estimation, and control, contributing to both model-based and model-free adaptive approaches, within a