Job Information
- Organisation/Company
- KU Leuven
- Research Field
- Computer science » Other
- Researcher Profile
- First Stage Researcher (R1)
- Country
- Belgium
- Application Deadline
- Type of Contract
- Temporary
- Job Status
- Full-time
- Hours Per Week
- 38 hours/week
- Is the job funded through the EU Research Framework Programme?
- Not funded by an EU programme
- Reference Number
- BAP-2024-77
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
Sensing, understanding, and modelling human visual attention is a core research challenge not only in HCI but across disciplines. Recent advancements in machine learning and deep learning have made it possible to estimate a person’s gaze direction or to detect eye contact using regular, off-the-shelf cameras. However, despite significant progress, there is a research gap that requires further advancements both on the algorithmic side of gaze estimation but also on its usability to deploy such technologies in the wild and empower non-technical users.
The PhD position will allow you to work at the intersection of machine learning/deep learning by developing computational methods with applications in HCI. You will have the opportunity to dive deep and work on the core algorithms for gaze estimation to make them more accurate and robust. For example, one challenge is the difficulty of collecting large-scale annotated datasets. Can we use self-supervised learning to overcome this limitation? Or can generative Artificial Intelligence help with data augmentation? Besides working on the algorithms, you will also have the opportunity to use such methods and develop novel applications and use cases across domains such as intelligent user interfaces, education, or pervasive health.
Requirements
- Research Field
- Computer science
- Education Level
- Master Degree or equivalent
- Languages
- ENGLISH
- Level
- Excellent
Additional Information
- A full time PhD scholarship at the Faculty of Engineering Technology, KU Leuven initially for 1 year, extendible to max. 4 years
- An attractive salary package, complemented with multiple benefits (health insurance, access to university infrastructure and sports facilities, etc.)
- An inclusive research environment at one of Europes’ top universities with ample opportunities for further development
- Opportunity to contribute to teaching
- The position is embedded in an international and multicultural working environment at the department of Computer Science of KU Leuven, Campus Group T.
- The position can start immediately (flexible start date) and will be filled as soon as a suitable candidate is found
- A master’s degree in computer science, artificial intelligence, engineering, or related disciplines
- Solid background in machine learning or deep learning. Prior experience in computer vision is a plus.
- Strong programming skills (preferably python)
- Excellent oral and written communication skills in English
- Critical thinking and the ability to work independently
Application documents should include:
- CV
- Transcript of records from bachelor and master studies
- A motivation/cover letter (max 2 pages). This letter should highlight your research interests, the interest in the offered project as well as any relevant past experience.
- The contact information for 2 referees
For more information please contact Prof. dr. Mihai Bace, tel.: +32 16 19 31 60, mail: mihai.bace@kuleuven.be.
You can apply for this job no later than 08/03/2024 via the online application tool
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- KU Leuven
- Country
- Belgium
- State/Province
- Vlaams Brabant
- City
- Leuven
- Postal Code
- 3000
- Street
- Leuven
- Geofield
Where to apply
- Website
Contact
- State/Province
- Leuven
- City
- Vlaams Brabant
- Street
- Leuven
- Postal Code
- 3000