The Faculty of Science, Informatics Institute at the University of Amsterdam (UvA) is hiring seven PhD students in computer vision and machine learning for the QUVA Lab.
- 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
Tasks and Responsibilities:
- develop new computer vision and/or machine learning methods within the context of one of the seven research projects;
- collaborate with other researchers within the lab and Qualcomm AI Research;
- complete and defend a PhD thesis within the official appointment duration of four years;
- regularly present internally on your progress and help Qualcomm write patent applications to protect inventions from the lab when requested;
- regularly present intermediate research results at international conferences and workshops and publish them in proceedings and journals;
- assist in relevant teaching activities
- Applicant must hold 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;
- Applicant to be highly motivated and creative.
- Strong communication, presentation and writing skills and excellent command of English.
Apply online and applications in pdf should include the following:
- A motivation letter that motivates the choice for this position, and in particular, for which of the research project(s) candidate is applying.
- Curriculum vitae, including list of publications (if applicable)
- A research statement on how to approach the project of his/her choice. Solid and creative ideas will be greatly appreciated. (max 2 pages).
- A link to Master’s thesis.
- A complete record of Bachelor and Master courses (including grades and explanation of grading system);
- A list of projects and publications with brief descriptions of contributions, max 2 pages.
- The names and contact addresses of at least two academic references (do not include any recommendation letters).
|Organization||University of Amsterdam (UvA)|
|Subject areas||Artificial Intelligence, Computer Science|
|Eligibility||Open to all nationalities|
|Deadline||1 December 2020|