Expert Recruiting
Stellenangebote Berufsfelder Arbeitgeber für Arbeitgeber Impressum
Universität Hamburg

Universität Hamburg
Vollzeit, Teilzeit
Hamburg
Jetzt bewerben

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

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 date: as soon as possible, fixed for a period of 12 months (This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act [Wissenschaftszeitvertragsgesetz, WissZeitVG]).

Application deadline: 2026-03-15

Scope of work: full-time position suitable for part-time

Your responsibilities

Duties primarily include teaching and research. Research associates may also pursue further academic qualifications outside of their work responsibilities.

The Signal Processing (SP) research group of the Universität Hamburg, 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 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 its 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 in a digital age” 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 University of Hamburg is committed to equity. Diversity enriches our university life, whether in our studies, research, teaching, education, or workplace. We therefore welcome all applications, regardless of gender, gender identity, sexual orientation, ethnic or social background, age, religion or belief, disability, or chronic illness.

The University of Hamburg strives to increase the number of women in academia, and encourages qualified female academics to apply. 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

Stephanie Schulte-Hemming

Location

Vogt-Kölln-Straße 30
22527 Hamburg

Reference number

42

Application deadline

2026-03-15

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

  • cover letter
  • CV
  • copies of degree certificate(s)
  • copies of degree certificate(s) for the bachelor´s degree, master´s degree, and doctorate if applicable
  • transcript of records of bachelor and master programs

If you experience technical problems, send an email to .

More information on in selection procedures.