The University of Amsterdam is hiring an Assistant Professor in Temporal Geometric Computer Vision and Machine Learning, who is also interested in extending research to medical data.
The position is associated with the POP-AART Lab (Partnership for Online Personalized AI-driven Adaptive Radiation Therapy), a research ICAI collaboration with the Netherlands Cancer Institute (NKI), and Elekta. candidates are expected to work on fundamental aspects of temporality and geometry in computer vision and machine learning, with practical applications on medical spatiotemporal and geometric data with CT and MRI imaging.
Nevertheless, the successful candidate will be appointed as the Scientific Manager of the POP-AART Lab and will be responsible for executing the daily activities in the lab and co-supervising the lab’s six PhD. The PhD projects cover:
- Deep Generative Learning for Cone Beam Computed Tomography,
- Learning Inverse Models for Cone Beam Computed Tomography Reconstruction,
- Deep Learning Geometry for 3D Medical Image Registration,
- Interactive Deep Learning for Medical Segmentation,
- Learning to Forecast for Adaptive Radiation Therapy,
- Reinforcement Learning for Radiation Treatment Plan optimization.
Assistant Professor in Computer Vision & Machine Learning offers;
- a competitive gross salary of between €2,846 to €5,230,- for a full-time working week of 38 hours;
- a complete educational program for PhD students;
- multiple courses on topics such as leadership for academic staff;
- multiple courses on topics such as time management, handling stress, and an online learning platform with 100+ different courses;
- 7 weeks birth leave (partner leave) with 100% salary;
- partly paid parental leave;
- the possibility to set up a workplace at home;
- a pension at ABP for which UvA pays two-third part of the contribution;
- the possibility to follow courses to learn Dutch;
- help with housing for a studio or small apartment when moving from abroad.
The Assistant Professor position in Computer Vision & Machine Learning seek candidates with
- a PhD in a relevant discipline (AI, Applied Mathematics, Computer Science, Medical Imaging, Electrical Engineering,) and a proven record of high quality and diverse academic teaching, preferably at the Bachelor’s-, Master’s- and PhD-levels;
- a solid publication record in fields related to computer vision, deep learning, and machine learning, including top-tier international conferences (CVPR, ICCV, ICLR, NeurIPS, MIDL, MICCAI, MEDIA, etc.) and/or journals published by the internationally recognized press;
- the ability to obtain research funding in a competitive environment;
- management skills required for general academic administration, organization, and coordination tasks;
- demonstrated or academic leadership;
- you excel in teaching and have a clear vision of education, as well as the ability to supervise MSc and PhD candidates;
- in possession of the Dutch Basic Teaching Qualification (or foreign equivalent), or willingness to acquire such qualification within two years.
Applications for the Assistant Professor in Computer Vision & Machine Learning should include the following information:
- CV (max. 2 pages)- including the months (not just years) when referring to education and work experience;
- a list of publications (if applicable) and preferred starting date;
- a letter of motivation (max 1 page) – motivating applicants choice for this position;
- research statement (max 2 pages) – describing their thoughts/ ideas about the project;
- teaching statement (max one page);
- names and email addresses of three references from different institutes who can provide letters of recommendation (no letters needed yet).
Application Deadline: July 31, 2022.
For more information and application as Assistant Professor in Computer Vision & Machine Learning, visit the official site.