Neural Ego-Noise Reduction for Interactive Robots

The Faculty of Mathematics, Informatics and Natural Sciences / Department of Informatics invites applications for a

RESEARCH ASSOCIATE
Ego-Noise Reduction for Interactive Robots
– SALARY LEVEL 13 TV-L –

The position in accordance with Section 28 subsection 1 of the Hamburg higher education act (Hamburgisches Hochschulgesetz, HmbHG) commences on the earliest possible date.

This is a fixed term contract in accordance with Section 2 of the academic fixed-term labor contract act (Wissenschaftszeitvertragsgesetz, WissZeitVG). The initial fixed term is three years. The position calls for 75% of standard work hours per week. (Full-time positions currently comprise 39 hours per week.)

Responsibilities:
Research associates will be expected primarily to teach and conduct research. The research associate will also have the opportunity to pursue further academic qualifications, in particular a doctoral dissertation. At least one-third of set working hours will be made available for the research associate’s own academic work.

Specific Duties:
The candidate will work in the Signal Processing and the Knowledge Technology groups and will do research on modern methods for single and multichannel speech enhancement for human-robot interfaces. The particular task is to take the specific ego-noise of an interactive robot into account, such as the sound of the motors and the cooling systems of specific robotic platforms. Teaching duties are expected to be 3 hours/week at the BSc Informatics level.

Requirements:
A university degree in a relevant field. Examples are Computer Science, Artificial Intelligence, Robotics or Electrical Engineering. We require the candidate to have excellent knowledge in signal processing and neural network learning as well as good programming skills in Python and neural network frameworks. Experience in speech processing is helpful. Fluent English, spoken and written, and good communications skills are mandatory. Knowledge of German is desired; we expect the willingness to learn German for non-native German speakers.

The University aims to increase the number of women in research and teaching and explicitly encourages women to apply. Equally qualified female applicants will receive preference in accordance with the Hamburg act on gender equality (Hamburgisches Gleichstellungsgesetz, HmbGleiG).

Qualified disabled candidates or applicants with equivalent status receive preference in the application process.

For further information, please contact Stefan Wermter (stefan.wermter@informatik.uni-hamburg.de) or Timo Gerkmann (timo.gerkmann@uni-hamburg.de) or
consult our website athttp://www.informatik.uni-hamburg.de/WTM/  orhttp://uhh.de/inf-sp.

Applications should include a cover letter, a tabular curriculum vitae, and copies of degree certificate(s). Please send applications by 25.08.2019 to:sp-office@informatik.uni-hamburg.de  in a single PDF document. Please start the subject of your Email with [Application Kooperationspromotion].

Please do not submit original documents as we are not able to return them.

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Professor Dr. Stefan Wermter Director of Knowledge Technology Department of Informatics
University of Hamburg Vogt-Koelln-Str. 30 22527 Hamburg, Germany Email:
wermter AT informatik.uni-hamburg.de
http://www.informatik.uni-hamburg.de/WTM/
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