7 PhD positions in Computer Vision and Machine Learning 1189 views

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.

Available 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

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

Requirements:

• 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.

Applications:

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).