Research Associate

Research Associate (Postdoc or PhD Student) for SPEECH AND AUDIO SIGNAL PROCESSING - 28 Subsection 1 HmbHG (PhD) or - 28 Subsection 2 HmbHG
- InstitutionFaculty of Mathematics, Informatics and Natural Sciences, Department of Informatics, Signal Processing (SP)
Salary levelEGR. 13 TV-L
Application deadline08.10.2024
Scope of workfull-time position suitable for part-time**Responsibilities**:
Research associates will be expected primarily to teach and conduct research. The research associate will also have the opportunity to pursue further academic qualifications, in particular a doctoral dissertation or a habilitation (postdoctoral qualification). Therefore, at least one-third of set working hours will be made available for the associate’s own academic work.
- Source Separation: innovating techniques to isolate individual audio sources from complex environments
- Speech Enhancement: developing advanced methods to improve speech clarity and intelligibility in noisy settings
- Emotional Speech Synthesis: creating models that generate emotionally rich and natural-sounding speech
- Multimodal Signal Processing: leveraging modern machine learning to seamlessly integrate speech, language, and text processing, thereby enhancing overall system capabilities

The typical tasks of a PhD student or a post-doctoral researcher include developing new concepts, implementing new solutions, designing, and performing experiments to test these methods, writing scientific publications, and traveling to conferences and workshops to present the work. In addition, a post-doc is expected to support the scientific guidance of team members. The position includes the responsibility to teach 4 hours per week in the computer science department. We are looking for a highly motivated individual who is eager to engage in cutting-edge research within a collaborative and supportive working environment.

**Profile**:
PhD position:

- a university degree in a relevant field

Postdoc position:

- a university degree in a relevant field plus doctorate

Examples of a university degree in a relevant field include Computer Science, Data Science, and Electrical Engineering. Excellent knowledge in signal processing and machine learning is required, along with good programming skills in Python and experience with modern machine learning libraries. Knowledge of speech processing, audio processing, and statistics is advantageous. Fluent English, both spoken and written, and good communication skills are mandatory. Knowledge of German is helpful; for non-native German speakers, we expect a willingness to learn German.

The advertised position is aimed at both suitable master’s degree graduates looking to undertake doctoral studies, as well as suitable applicants who have already completed their doctoral studies. The opportunity to pursue further qualifications is also available to doctoral graduates.

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.

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

Instructions for applying

Contact

Prof. Dr. Timo Gerkmann

+49 40 42883-2438

Stephanie Schulte Hemming

+49 40 42883-2014

Reference number
- 302Location

Vogt-Kölln-Str. 30
22527 Hamburg

Application deadline
- 08.10.2024- cover letter
- CV
- copies of degree certificate(s)
- transcript of records

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