Thank you for your interest in applying to VSRP internships at KAUST.
We are happy to share that our in-person internship program has restarted!
However, due to the pandemic, all VSRP applicants applying for in-person internship, must obtain and show proof of full vaccination (vaccine certificates for COVID 19) with one of the following vaccines to be processed as VSRP interns: 2 doses of Pfizer BioNTech, 2 doses of Oxford AstraZeneca, 2 doses of Moderna, or 1 dose of Johnson and Johnson’s Janssen.
We are continuing to offer Remote/Virtual internship. If you are interested in a Remote VSRP internship, please check our “Internship page” and apply to the project of your choice. You may upload a blank page in lieu of vaccination proof in your application form, and mention that you are applying for a Remote internship in your Statement of Purpose.
GNSS attitude determination and precise positioning
The goal of this project is to develop new techniques for accurate GPS/GNSS positioning and attitude determination for mobile platforms (vehicles, etc.). The main application area is vehicle control and vehicle autonomy. The project focuses on instantaneous methods that are capable of delivering real-time results in semi-occluded environments such as urban areas. This requires extending existing techniques of phase ambiguity resolution, or developing new methods. Methods that leverage multiple GNSS signals (from GPS, GLONASS, etc.) will be given more consideration. A GNSS testbed is available in lab that will be used to carry out the experimental part of this project.This project consists of different activities: 1. Review relevant and most recent publications in the area.2. Develop the precise positioning and/or attitude determination techniques from first principles or by extending existing methods. 3. Study the performance of the developed methods using simulations.4. Carry out experimental tests using the existing GNSS testbed.5. Analyze the results and derive conclusions. Write final report.6. Write publications and attend relevant conferences/events to gain more knowledge in the area.
Program -Electrical Engineering
Division - Computer, Electrical and Mathematical Sciences and Engineering
Field of Study -Electrical Engineering
About the Researcher
Professor, Electrical and Computer Engineering
Professor Al-Naffouri's research interests lie in the areas of adaptive, sparse and statistical signal processing and their applications. These applications include communications, ultrawideband and ultrasound-based localization and tracking. His research also extends to the design and analysis of wireless networks.
Desired Project Deliverables
1. A complete assembled system (hardware + software).2. Final design, algorithms and system parameters.
3. Experimental results.
4. Final report summarizing and explaining the whole project with results and future recommendations.