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wissenschaftlicher Mitarbeiter / Research Associate / PhD candidate

The Signal Processing Group at the Universität Hamburg, Germany is hiring a research associate (wissenschaftlicher Mitarbeiter). The associate will have the opportunity to pursue further academic qualifications, in particular a doctoral dissertation.

Universität Hamburg invites applications for a Research Associate in accordance with Section 28 subsection 1 of the Hamburg Higher Education Act (Hamburgisches Hochschulgesetz, HmbHG). The position commences as soon as possible. It is remunerated at the salary level TV-L 13 and calls for 100% of standard work hours per week, currently 39 hours per week.

The fixed-term nature of this contract is based upon Section 2 of the Academic Fixed-Term Labor Contract Act (Wissenschaftszeitvertragsgesetz, WissZeitVG). The initial fixed term is three years.
The University aims to increase the number of women in research and teaching and explicitly encourages qualified women to apply. Equally qualified female applicants will receive preference in accordance with the Hamburg Equality Act (Hamburgisches Gleichstellungsgesetz, HmbGleiG).

Associates will be expected primarily to conduct and teach research. The associate will 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 associate's own academic work.

Specific Duties:
The candidate will work in the newly founded Signal Processing group and will do exciting research on modern methods for speech and audio processing. The focus of the group is on algorithms for processing speech and audio signals with applications in hearing aids, communication devices, and human-machine interfaces. In this context, possible PhD topics include single- and multichannel speech enhancement (reducing the impact of noise and reverberance), computational auditory scene analysis (localizing, classifying, and separating source signals), sensor and information fusion (combine information from different sensors and modalities, such as audio, vision, EEG, ...). Typical methods include Bayesian estimation, statistical and physical modeling, as well as modern machine learning methods. The typical tasks of a PhD student include developing and implementing new algorithms, performing experiments to test the methods, writing scientific publications, and traveling to conferences and workshops to present the work. Furthermore, the position includes the responsibility to teach 4 hours/week in the computer science department. We are interested in a highly  motivated person who is interested in participating to form and develop the newly established research group and in working with us on cutting edge research in a pleasant working atmosphere.

A university degree in a relevant field. Examples are Computer Science, Electrical Engineering, Physics, Mathematics, etc. Good knowledge in signal processing is required as well as good programming skills in Matlab, Python, and/or C++. Knowledge of speech and audio processing, machine learning, and statistics is helpful. Fluent English, spoken and written, and good communication skills are mandatory. Knowledge of German is helpful; we expect the willingness to learn German for non-native German speakers.
Severely disabled applicants will receive preference over equally qualified non-disabled applicants.

Further information can also be found on our webpages


Contact detail

How to apply:
Applications should include a cover letter, curriculum vitae, and copies of degree certificate(s).

The application deadline is 23 rd Oct. 2016. Please send applications to: timo.gerkmann@uni-hamburg.de in a single PDF document. Please start the subject of your Email with [APPLICATION].
Send application to
Prof. Dr.-Ing. Timo Gerkmann

Professor of Signal Processing
Department of Informatics
University of Hamburg, Germany

Email: timo.gerkmann@uni-hamburg.de
Web: http://www.inf.uni-hamburg.de/sp

Job profile

Working hours
Contract duration
Type of job
PhD Project
Work experience
job experience is not required
Germany (Hamburg)
Working place
22527 Hamburg
Area of expertise
Computer Sciences, Electrical Engineering