The main goal of the internship is to develop and evaluate a system for the automatic recognition of airplanes by their sounds. Given any sound recording, the system should be able to distinguish between aircraft and non-aircraft events. An additional goal is to recognize the different phases of flight and the detection of anomalous sounds (which may indicate malfunction).
The internship consists of the following five phases: (1) reading the existing literature with respect to the problem statement, (2) discussing the research with an auditory expert of the NLR, (3) the writing of a project plan, (4) developing a program for reading the available data (provided by NLR), (5) developing deep-learning algorithms for intelligent signal processing, and (6) evaluating and testing the algorithms on the data (e.g., accuracy, confusion table).
The NLR can provide sound features or descriptors for the segmentation and the selection of airplane data. It is important to note that phases (4) and (5) start early in the internship to ensure timely completion of the experimental study.
The deliverables of the internship is a thesis (according to the requirements of the educational program) and the source code. The source code remains the property of NLR.
Duration of the internship
TBD, in consultation with the educational program.
- Educational level: academic.
- Expertise: signal processing, neural networks, experience with python or matlab.
- A challenging internship in a high-tech environment;
- An informal culture which allows for individual initiative, is focussed on results and commitment.
- An internship allowance.
Your new internship in aerospace
NLR, dedicated to innovation in aerospace, is the key knowledge enterprise for aerospace technology in The Netherlands. NLR employs around 650 people; varying from aerospace engineers to psychologists, and from mathematicians to application experts.
The department Aircraft Operations Environment and Policy (AOEP) is engaged in research on noise, emissions and external safety of aircraft. This research supports (national and international) clients and governments in implementing and making policies. In addition, this department performs similar studies in European projects.
For more information about the assignment, contact drs. T.A. van Veen, 088-511 3436, Theo.van.Veen@nlr.nl. Also visit our NLR media channel to discover what makes NLR great for students and graduates.
How to apply
Apply for this internship by sending your motivation letter and CV to Drs. T.A. van Veen, Theo.van.Veen@nlr.nl.
Datum : 22/09/2017
Locatie : Amsterdam
Opleidingsniveau : HBO/WO
Werkniveau : M.Sc. internship
Achtergrond : Data science, neural networks