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 excellent PhD students and 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 graphical (face, hand, body) modelling, egocentric vision, scene understanding, or object detection/recognition. A strong interest in applying these methods to problems in HCI, e.g. intelligent user interfaces and social signal processing, 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 for up to four years, in part by an ERC Starting Grant and a grant within the DFG Excellence Cluster Initiative, allow to focus on fundamental research with only light teaching load, and are available to applicants of any nationality.

Please see jobs for how to apply.