PhD in Embedded AI on Raw Camera Images
|Published||December 12, 2022|
EAVISE is a multidisciplinary KU Leuven research group based at Campus De Nayer in Sint-Katelijne-Waver. We focus on applications of advanced computer vision and artificial intelligence.
The research goal of EAVISE is to apply state-of-the-art AI, computer vision and image processing techniques as a solution for industry-specific vision problems. To meet stringent execution speed, energy footprint, cost and price requirements, the developed algorithms are often implemented and optimized on embedded systems, such as GPUs, DSPs and FPGAs. Application areas include industrial automation, product inspection, traffic monitoring, e-health, agriculture, eye-tracking, microscopic imaging, surveillance and land surveying.
From our smartphones, over surveillance systems to drones and industrial inspection, cameras are everywhere around us. Often, they operate in low-power conditions on embedded devices. In many cases, artificial intelligence is used to analyze and interpret the captured images.
The aim of this Ph.D. project is to apply AI-based computer vision algorithms directly on the raw data coming from camera sensors. This will require an adaptation of the algorithms to process the raw pixel data, as well as efficient implementation of such algorithms on real-time embedded hardware.
- Candidates must hold a master’s degree in electrical or computer engineering (or equivalent), and have taken specialized courses in machine learning, computer vision and/or image processing.
- Programming experience (C/C++/Python/...) is necessary.
- Research experience in computer vision and/or embedded implementations (FPGA, MCU) is considered a strong asset (e.g. through Master thesis work or research internships).
- Excellent proficiency in the English language is required, as well as good communication skills, both oral and written.
- A high-level and exciting international research environment.
- A Ph.D. title from one of Europe's top universities (after approximately 4 years of successful research).
- A thorough scientific education in the frame of a doctoral training program.
- A competitive salary or tax-free PhD grant.
- The possibility to participate in local as well as international courses, workshops and conferences.
- A one-year position with the possibility of extension for a second, third, and fourth year.
For more information please contact Mr. Kristof Van Beeck, tel.: +32 15 68 81 67, mail: firstname.lastname@example.org or Prof. dr. Patrick Vandewalle, tel.: +32 15 68 82 37, mail: email@example.com.
You can apply for this job no later than January 31, 2023 via the online application tool
KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at diversiteit.HR@kuleuven.be.