Postdoctoral Researcher - Physics- Engineering Modeling and Validation Drone Swarm App

Postdoctoral Researcher – Physics-Based Engineering Modeling and Validation for Drone Swarm Applications

Location: Boulder, CO (Flatirons Campus)

Position Type: Postdoctoral (Fixed Term)

Hours: 40 per week

We are seeking a postdoctoral researcher to develop and validate physics-based engineering models for drone swarm applications using existing tools such as OpenFAST and FAST.Farm. The role involves theory development, software implementation, model verification and validation, and collaboration with researchers and partners. The successful candidate will contribute to publications and support grant proposal development.

• Extend physics‑based modeling tools (e.g., OpenFAST, FAST.Farm) to drone swarm contexts, including individual drone aero‑servo‑elastic dynamics and wake/downwash interactions.
• Develop theory and implement software improvements in Python, MATLAB, Fortran, or C++ within high‑performance computing environments.
• Perform systematic verification and validation of models through comparisons with fidelity‑first results (e.g., Kynema) and measurement data to assess accuracy and limitations.
• Collaborate with interdisciplinary teams on drone fidelity‑first modeling, swarm control, and application development.
• Write technical reports, publish in peer‑reviewed journals, and present findings at conferences and meetings.
• Support preparation of new research proposals and project reviews.

• Ph.D. in aerospace, mechanical, or related engineering completed within the last three years.
• Strong background in physics-based modeling of aerodynamics, structural dynamics, and/or control systems.
• Proficiency in Python and/or MATLAB, and familiarity with Fortran or C++.
• Experience with high-performance computing workflows.
• Excellent written and oral communication skills.
• Ability to publish and present research results.

• Experience with wind turbine modeling tools (Fast, OpenFAST, Bladed, HAWC2) and wind‑farm tools (FLORIS, FAST.Farm, DWM).
• Familiarity with open-source software workflows on Git Hub.
• Knowledge of uncertainty quantification, machine‑learning principles, CFD, and measurement data processing.

Competitive salary ($76,600–$126,400) and benefits including medical, dental, vision, short-term disability, pension, 403(b) plan with employer match, life and AD&D insurance, paid time off, sick leave, and paid holidays.

We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, gender, disability, and other protected categories.