The MSc thesis assignment focuses on implementing the Meteo Particle Model (MPM) to construct a 3D time-varying wind field using wind speed and direction measurements taken by a network of drones. The developed model will be flight tested using a network of 4 drones at the NLR Drone Center.
Wind field nowcast based on drone measurements. Dashed arrows are MPM estimates and solid arrows are drone measurements.
Taken en resultaten / Tasks and results:
- Perform a literature review on the Meteo Particle Model (MPM) and other relevant assimilation approaches
- Extend MPM to take into account the vertical motion of wind near the ground and to cope with obstacle laden urban environments
- Develop a data acquisition and display system to visualize the wind field measured and estimated during the flight test
- Aid with the execution of the flight test
- Test and validate the model using simulation and real data from the flight test
- Recommend improvements and report results
Duur van de opdracht / Duration
The MSc assignment is expected to start in September 2020, with a maximum duration of 12 months.
Wij vragen / We are looking for:
- Experienced in Python programming and data analysis
- Willing to engage in exploring new methods
- Independent and self-motivated
Wij bieden / We offer:
- A challenging internship in a high-tech working environment
- Informal culture with room for own initiative, in which result orientation and involvement are important pillars
- An internship allowance
Jouw nieuwe stageomgeving / Your environment
Royal NLR is an ambitious knowledge institute for the last 100 years and has NLR has the will to continue innovating. Based on this motivation, we try to make the world of transport safer, more sustainable, more efficient and more effective. We are on the threshold of pioneering innovations. More than 600 passionate professionals work on research and innovation at NLR, ranging from aircraft engineers to psychologists and from mathematicians to application experts. Our location in Amsterdam has recently been renovated and a beautiful new building has been realized in Marknesse.
The MSc thesis will be mainly performed within the ATM and Airports department (AOAP). This department mainly focuses on researching methods to increase the safety, efficiency and profitability of aircraft and drone operations. AOAP is extremely experienced with ATM and UTM simulation studies, and has developed the well-known NLR ATM Research Simulator (NARSIM).
Informatie / Information
For more information, please contact Dr.ir. Emmanuel Sunil (internship supervisor), 088-511-3453, firstname.lastname@example.org. Visit the NLR Youtube channel to gain a wider impression on the organization.
Solliciteren / Apply
To apply, please send your CV and motivation letter to Dr.ir. Emmanuel Sunil, email@example.com.
Datum : 05/06/2020
Locatie : Amsterdam
Uren : 40
Opleidingsniveau : University (WO)
Werkniveau : MSc
Achtergrond : Aerospace Engineering or Computer Science