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 non-verbal human behavior and cognition.
We have a PostDoc opening in the area of “Bayesian Intent Prediction for Human-Machine Collaboration”. The PostDoc will contribute to the development of a new generation of human-computer interfaces that pro-actively adapt to users’ future actions by predicting their interaction intentions. Specifically, the PostDoc will formulate and study intent prediction in a fully Bayesian framework. This approach will not only enable future interfaces to quantify and adapt to the inherent uncertainty of the intent predictions themselves, but will also leverage this information to improve subsequent predictions of users’ actions.
The position is fully funded (100%) and is available to applicants of any nationality. You will contribute to the leadership of ongoing projects, will have the opportunity to advise undergraduate and graduate students, and contribute to the teaching activities of the group.
You can find more information about this position here.
If you are highly motivated and capable of addressing and solving scientifically challenging problems, and if you are interested in doing research in an internationally oriented and highly successful team, you should apply as indicated at the link above. Please submit your complete application by e-mail with one pdf attachment comprising a cover letter, academic CV, research statement, a full publication list, names and contact addresses of two referees, as well as academic certificates and transcript of records.
If you have any questions regarding this position please informally contact Prof. Andreas Bulling.