When a computer can intelligently see and perform visual tasks that are repetitive or require expert knowledge such as medical diagnosis, industrial inspection, autonomous vehicles, etc., our world will no longer be the same.

We are looking for an assistant professor to strengthen the computer vision team at Delft University of Technology. We give preference to candidates that link to the university’s theme of responsible computing, where examples in the field of computer vision include 'Green AI', adversarial attacks, synthesizing images, synthesizing images, explainability and interpretability, data set bias, deep fakes, human-in-the-loop, etc.

You will be responsible for:

• Conducting high quality research and publish in reputed computer vision conferences and journals
• Acquiring, coordinating and collaborating in computer vision research projects;
• Building your own group, collaborating with colleagues, supervising PhD students, MSc and BSc theses;
• Developing and teaching courses in the field of Computer Vision and Image Processing;
• Valorization, company collaboration, communicating science to a wide audience.

You are enthusiastic, ambitious, can mix fundamental research with real world application. You have:

• A PhD degree in computer vision or related area;
• A solid background and demonstratable experience in computer vision;
• Publications in top computer vision or related venues
• Excellent communication skills and team spirit;
• Good didactic qualities, enthusiastic for teaching and working with students;       

Fixed-term contract: 6 years.

The Department of Intelligent Systems conducts research on processing and interpretation of data to enable man and machine to deal with the increasing volume and complexity of data and communication. We have a strong focus on medical and health sciences. One of our research labs is the Computer Vision Lab (visionlab.tudelft.nl).     

The Computer Vision Lab performs research and educates students in the field of computer vision, image analysis and video analysis. We stand out in analysing and interpreting multidimensional data (image sequences, multiple cameras, 3D/4D medical data like MRI and CT). We are inspired by using machine learning approaches to accomplish the vision task. We actively apply it to social/human signal processing, 3D imaging, (bio)medical imaging, and surveillance. We play a prominent role within the national advanced school for computing and imaging and we take pride in bringing solutions either to actual applications with companies or to further other scientific domains.

Technische Universiteit Delft

Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

Faculty Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) is known worldwide for its high academic quality and the social relevance of its research programmes. The faculty’s excellent facilities accentuate its international position in teaching and research. Within this interdisciplinary and international setting the faculty employs more than 1100 employees, including about 400 graduate students and about 2100 students. Together they work on a broad range of technical innovations in the fields of sustainable energy, telecommunications, microelectronics, embedded systems, computer and software engineering, interactive multimedia and applied mathematics.

https://www.tudelft.nl/en/eemcs/the-faculty/

  The Department of Intelligent Systems conducts research on processing and interpretation of data to enable man and machine to deal with the increasing volume and complexity of data and communication. We have a strong focus on medical and health sciences. One of our research labs is the Computer Vision Lab (visionlab.tudelft.nl).     

The Computer Vision Lab performs research and educates students in the field of computer vision, image analysis and video analysis. We stand out in analysing and interpreting multidimensional data (image sequences, multiple cameras, 3D/4D medical data like MRI and CT). We are inspired by using machine learning approaches to accomplish the vision task. We actively apply it to social/human signal processing, 3D imaging, (bio)medical imaging, and surveillance. We play a prominent role within the national advanced school for computing and imaging and we take pride in bringing solutions either to actual applications with companies or to further other scientific domains.