Research Associate Data Science and AI for Speech and Audio Signal Processing

Germany Job Openings

Universität Hamburg

Hamburg

FULL TIME & PART TIME

October 16, 2024

Research Associate Data Science and AI for Speech and Audio Signal Processing § 28 Subsection 3 Hmb HG

Institution Faculty of Mathematics, Informatics and Natural Sciences, Department of Informatics, Working Group Signal Processing (SP)

Salary level EGR. 13 TV-L / EGR. 14 TV-L

Start dateas soon as possible, fixed for a period of 14 months (This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act [Wissenschaftszeitvertragsgesetz, Wiss Zeit VG]).

Application deadline13.11.2024

Scope of workfull-time position suitable for part-time

Your responsibilities
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

Your profile
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.

We offer

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

Universität Hamburg—University of Excellence is one of the strongest research educational institutions in Germany. Our work in research, teaching, educational and knowledge exchange activities is fostering the next generation of responsible global citizens ready to tackle the global challenges facing us. Our guiding principle “Innovating and Cooperating for a Sustainable Future” drives collaboration with academic and nonacademic partner institutions in the Hamburg Metropolitan Region and around the world. We would like to invite you to be part of our community to work with us in creating sustainable and digital change for a dynamic and pluralist society.

The Free and Hanseatic City of Hamburg promotes equal opportunity. As women are currently underrepresented in this job category at University of Hamburg according to the evaluation , Hamb Glei G), we encourage women to apply for this position. Equally qualified and suitable female applicants will receive preference.

Severely disabled and disabled applicants with the same status will receive preference over equally qualified non-disabled applicants.

Instructions for applying

Contact

Prof. Timo Gerkmann
timo.gerkmann@uni-hamburg.de
+49 40 42883-2438

Stephanie Schulte-Hemming
stephanie.schulte.hemming@uni-hamburg.de
+49 40 42883-2014

Reference number

321

Location
Vogt-Kölln-Straße 30
22527 Hamburg

Application deadline

13.11.2024

Use only the online application form to submit your application with the following documents:

cover letter
CV
copies of degree certificate(s)
transcript of records

If you experience technical problems, send an email to bewerbungen@uni-hamburg.de.

PDF Download

We regret to inform you that this job opportunity is no longer available as it has expired

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