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The Knowledge Technology Research Group has open positions for 2 PhD Studentships (Neural Multimodal Integrationand Neural Speech Localisation).
The Knowledge Technology Research Group is looking to fill two fulltime PhD studentships funded by the DFG in the context of the International Research Training Group CINACS. This project offers a 3-year doctoral programme based at the University of Hamburg and at Tsinghua University, Beijing. The dissertation projects will be carried out at the University of Hamburg. A part of the studies (a few months) can be performed at Tsinghua University. The interdisciplinary programme provides exciting research opportunities in multisensory perception and cross-modal information processing.
Responsibilities:
The candidate is expected to conduct research in the area of Knowledge Technology and Neural Network Robotics. In these two projects we are particularly focused on working to-wards a) neural multimodal integration based on the superior colliculus and b) neural sound localisation for speech processing based on the inferior colliculus. We use an attractive humanoid robot scenario where humanoid robots interact with humans based on multimodal information. This includes the integration of an ambient environment with new cognitive humanoid robots.
The PhD stipend is for three years (2 plus 1) and fulltime.
The
university intends to increase the number of women amongst its academic
personnel and encourages qualified women to apply. In compliance with
the Hamburg Equal Opportunity Law, if applicants are equally qualified,
preference will be given to qualified female applicants or qualified
disabled applicants.
For
queries or more information please contact Prof. Dr. Stefan Wermter,
Head of Knowledge Technology or see
http://www.informatik.uni-hamburg.de/WTM/. Application dossiers
(application letter, curriculum vitae, degree certificate(s), etc.) are
to be submitted electronically in a single pdf file to wermter at informatik dot uni-hamburg dot de and will be accepted until the positions are filled.