Perceptual User Interfaces

Our goal is to develop next-generation human-machine interfaces that offer human-like interactive capabilities. To this end, we research fundamental computational methods as well as ambient and on-body systems to sense, model, and analyse everyday social and interactive non-verbal human behaviour.

We are currently looking for 5 excellent PhD students and 2 PostDocs with a strong background in either human-computer interaction or 1) machine learning, particularly deep-learning, generative models, reinforcement learning, or related areas or 2) computer vision or graphics, particularly gaze estimation, egocentric vision, scene understanding, or object detection/recognition. A strong interest in applying these methods to problems in HCI, e.g. intelligent user interfaces, is expected.

Very good programming skills in C++ or other high-level programming languages are expected and experience with Phython, MATLAB, or CUDA is beneficial. Fluent English written and presentation skills are essential.

Positions are fully funded, in part by an ERC Starting Grant and are available to applicants of any nationality.

Please see jobs for how to apply.