Applications are invited for 07 Fully Funded PhD Scholarships in Computer Vision and Machine Learning at The University of Amsterdam (UvA), Netherlands.
The University of Amsterdam (UvA) is hiring seven PhD students in computer vision and machine learning for the QUVA Lab, a research collaboration between UvA and Qualcomm AI research. We will be working on fundamental aspects of computer vision and machine learning, deep learning models, and algorithms. In particular, we are looking for PhD candidates on the following projects:
- Project A: Video action recognition
- Project B: Multi-task multi-modal learning
- Project C: Video representation and efficiency
- Project D: Hardware-aware learning
- Project E: Federated learning
- Project F: Combinatorial optimization
- Project G: Unsupervised learning for source compression
More details on the individual projects can be found on the QUVA lab website.
Successful applicant will receive the following benefits:
- The salary will be €2,395 to €3,061 (scale P) gross per month, based on a full-time contract of 38 hours a week
- A temporary contract for 38 hours per week for the duration of 4 years (initial contract will be for a period of 18 months and after satisfactory evaluation it will be extended for a total duration of 4 years)
To be eligible for PhD Scholarships in Computer Vision and Machine Learning, applicant must have:
- A Master’s degree in Artificial Intelligence, Computer Science, or a related field
- A strong background in computer vision and/or machine learning;
- Excellent programming skills, preferably in Python
- solid mathematics foundations, especially statistics, calculus and linear algebra
- Are highly motivated and creative;
- Strong communication, presentation and writing skills and excellent command of English
Prior publications in relevant vision and machine learning venues will be advantageous for your application.
For PhD Scholarships in Computer Vision and Machine Learning, applicants are required to submit:
- a motivation letter that motivates your choice for this position, and in particular, for which of the research project(s) you are applying
- curriculum vitae, including your list of publications if applicable
- a research statement on how to approach the project of your choice. Solid and creative ideas will be greatly appreciated. (max 2 pages)
- a link to your Master’s thesis
- a complete record of Bachelor and Master courses (including grades and explanation of grading system)
- a list of projects and publications you have worked on, with brief descriptions of your contributions, max 2 pages
- the names and contact addresses of at least two academic references (please do not include any recommendation letters)
All these items should be grouped into a single PDF file.