Germany Job Openings
Universität Hamburg
Research Associate Data Science and AI for Speech and Audio Signal Processing
Hamburg
FULL TIME & PART TIME
October 16, 2024
Duties primarily include teaching and research. Research associates may also pursue independent research and further academic qualifications.
The Signal Processing (SP) research group of the University of Hamburg, http://uhh.de/inf-sp is known for cutting-edge research on Statistical Signal Processing and Machine Learning for speech signals. Applications include assistive listening devices (earbuds, hearing aids, cochlear implants), voice-controlled assistants (smart speakers, smart phones, robots), and virtual meetings. The specific duties of the research associate are
- research on novel data science and artificial intelligence methods applied to speech signals
- the participation in the acquisition and scientific supervision of third-party funded projects
- publication and dissemination of scientific results
- support and assistance with organizational and administrative tasks during the start-up phase of the new study program “Data Science and Artificial Intelligence”
- the position includes the responsibility to teach 4 hours/week (4 LVS) in the computer science department
A university degree in a relevant field.
A doctoral degree is required to be completed or at least in is final state. An academic degree like a master's degree is required. Examples are Computer Science, Data Science, Machine Learning, and Electrical Engineering. Good knowledge of and experience with modern machine learning techniques is required as well as good programming skills in Python or similar. Knowledge of speech processing and statistics is strongly requested. 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.
- Reliable remuneration based on wage agreements
- Continuing education opportunities
- University pensions
- Attractive location
- Flexible working hours
- Work-life balance opportunities
- Health management, EGYM Wellpass
- Educational leave
- 30 days of vacation per annum
timo.gerkmann@uni-hamburg.de
+49 40 42883-2438
stephanie.schulte.hemming@uni-hamburg.de
+49 40 42883-2014
Vogt-Kölln-Straße 30
22527 Hamburg
Application deadline
- cover letter
- CV
- copies of degree certificate(s)
- transcript of records
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