Research Associate for the Project „Diffusion-Based Deep Generative Models for Speech Signal Processing“ § 28 Abs. 3 HmbHG

Your responsibilities

Duties include academic services in the project named above. Research associates may also pursue independent research and further academic qualifications.

The primary focus of the Signal Processing (SP) research group is to develop innovative machine learning methods for speech signal processing. Our applications range across speech communication devices including but not limited to teleconferencing systems, assistive listening devices, and voice-controlled assistants. In this specific project, we will explore the use of score-based diffusion models to enhance speech using the capabilities of generative AI. Typical responsibilities for a Research Associate include authoring scientific publications and traveling to conferences and workshops to present the findings. We are seeking a highly motivated individual who is passionate about engaging in cutting-edge research within a supportive and pleasant working atmosphere.

Your profile

A university degree in a relevant field.

Examples are Computer Science, Electrical Engineering, Physics, and Mathematics. Very good knowledge of statistical signal processing and machine learning is required as well as proficient programming skills in Python along with experience in using machine learning libraries. Fluent English proficiency is required, both spoken and written, coupled with strong communication skills. The candidates should bring a strong interest to work in highly interdisciplinary topics and should be team-oriented.

We offer

Reliable remuneration based on wage agreements
Continuing education opportunities
University pensions
Attractive location
Flexible working hours
Work-life balance opportunities
Health management

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 Universität Hamburg according to the evaluation conducted under the Hamburg act on gender equality (Hamburgisches Gleichstellungsgesetz, HambGleiG), 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.

Back to overview Online application