Graduation Internship: Prediction and Analysis of Interaction Noise in Lift-Plus-Cruise Small UAS
Quick Summary
Background Aeroacoustic noise generated by aerodynamic interaction effects is a dominant contributor to the noise signature of lift-plus-cruise small unmanned aerial systems (sUAS), particularly in the mid-frequency range.
Nice to Have
~1 min readIdentify and characterize dominant tonal and broadband noise mechanisms arising from rotor–airframe and rotor–rotor aerodynamic interactions in lift-plus-cruise sUAS configurations.
Analyze tonal noise signatures in the mid-frequency range, with emphasis on blade-passing frequencies and harmonic content.
Apply comprehensive rotorcraft analysis methods (FLAT) to model unsteady aerodynamic loading and interaction effects.
Apply and assess the LOPNOR noise prediction tool developed at TU Delft for the same configurations and operating conditions.
Benchmark and compare FLAT- and LOPNOR-based tonal- and broadband noise predictions against available wind-tunnel aeroacoustic measurements.
Quantify prediction accuracy, identify dominant sources of discrepancy, and assess the modeling fidelity required for reliable noise prediction.
Review literature on tonal and broadband noise generation mechanisms related to rotor–airframe and rotor–rotor interaction effects.
Analyze wind-tunnel aeroacoustic measurements of a representative lift-plus-cruise sUAS to extract dominant tonal and broadband features and interaction-related signatures.
Perform comprehensive rotorcraft simulations using FLAT to obtain unsteady aerodynamic loading in relevant flight and transition conditions.
Use aerodynamic and operational inputs to generate noise predictions using the LOPNOR model.
Compare predicted and measured tonal spectra, focusing on mid-frequency content, blade-passing tones, and harmonic structure.
Conduct sensitivity studies to assess the influence of modeling assumptions, interaction fidelity, and operating conditions on tonal noise predictions.
Advancements in the understanding and prediction of the aero-acoustic interactions occurring on lift-plus-cruise aircraft configurations in hover, transition and forward flight.
Insights into mid-frequency range far-field tonal and broadband noise contributions of a lift-plus-cruise aircraft in various flight configurations.
Minimum 6 months, starting as soon as possible.
Master student Aerospace Engineering, preferably background in aerodynamics
Experience with aeroacoustics and unsteady aerodynamics, MATLAB/Python programming (experience with Fortran, C, or C++ is a plus), and frequency-domain signal processing
Familiarity with comprehensive rotorcraft analysis tools (e.g., FLIGHTLAB/FLAT), noise prediction models (e.g., LOPNOR), and wind-tunnel aeroacoustic measurements is highly desirable.
Prior exposure to CFD or rotorcraft aerodynamics is an advantage.
Assertive & self-motivated, able to be part of the project team and also proceed individually
What We Offer
~1 min readRoyal NLR has been the ambitious research organisation with the will to keep innovating for over 100 years. With that drive, we make the world of transportation safer, more sustainable, more efficient and more effective. We are on the threshold of breakthrough innovations. Plans and ideas start to move when these are fed with the right energy. Over 800 driven professionals work on research and innovation. From aircraft engineers to psychologists and from mathematicians to application experts.
Our colleagues are happy to tell you what it’s like to work at NLR.
This assignment will be managed by the Aeroacoustics & Experimental Aerodynamics group within the Aerospace Vehicles Vertical Flight and Aeroacoustics (AVVA) department.
Interested?
Contact us for more information or send your application, together with your motivation letter and CV, to Dr. Ir. Remco Habing at Remco.Habing@nlr.nl and Dr. Furkat Yunus at f.yunus@tudelft.nl and we will contact you as soon as possible.
Location & Eligibility
Listing Details
- First seen
- May 6, 2026
- Last seen
- May 10, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 51%
- Scored at
- May 6, 2026
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