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Research Associate for the Project „Diffusion-Based Deep Generative Models for Speech Signal Pr[...]

TN Germany

Hamburg

Vor Ort

EUR 50.000 - 65.000

Vollzeit

Vor 8 Tagen

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Zusammenfassung

A leading research institution in Hamburg seeks a Research Associate for a project focused on deep generative models for speech signal processing. The role involves academic services, independent research, and the development of innovative machine learning methods. Candidates should possess a relevant university degree and strong programming skills in Python, along with a passion for interdisciplinary topics. The position offers reliable remuneration, continuing education opportunities, and a supportive work environment.

Leistungen

Reliable remuneration based on wage agreements
Continuing education opportunities
University pensions
Work-life balance opportunities
Health management
Educational leave
30 days of vacation per year

Qualifikationen

  • University degree in relevant field required.
  • Proficient programming skills in Python.
  • Experience with machine learning libraries.

Aufgaben

  • Conduct academic services in the project.
  • Develop innovative machine learning methods for speech signal processing.
  • Author scientific publications and present findings.

Kenntnisse

Statistical Signal Processing
Machine Learning
Python
Communication

Ausbildung

University Degree in Computer Science
University Degree in Electrical Engineering
University Degree in Physics
University Degree in Mathematics

Jobbeschreibung

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

Hamburg, Germany

Job Category:

Other

EU work permit required:

Yes

Job Reference:

193957b2ec36

Job Views:

1

Posted:

11.05.2025

Expiry Date:

25.06.2025

Job Description:

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

Institution: Faculty of Mathematics, Informatics and Natural Sciences, Department of Informatics, Research Group Signal Processing

Salary level

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

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

Your responsibilities

Duties include academic services in the project. 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. Applications include teleconferencing, assistive listening devices, and voice-controlled assistants. In this project, we will explore score-based diffusion models to enhance speech using generative AI. Responsibilities include authoring scientific publications and presenting findings at conferences and workshops. We seek a highly motivated individual passionate about cutting-edge research in a supportive environment.

Your profile

A university degree in a relevant field such as Computer Science, Electrical Engineering, Physics, or Mathematics. Very good knowledge of statistical signal processing and machine learning, proficient programming skills in Python, and experience with machine learning libraries are required. Fluent English, both spoken and written, and strong communication skills are essential. Candidates should have a strong interest in interdisciplinary topics and be team-oriented.

We offer

  • Reliable remuneration based on wage agreements
  • Continuing education opportunities
  • University pensions
  • Work-life balance opportunities
  • Health management
  • Educational leave
  • 30 days of vacation per year

Universität Hamburg—University of Excellence is a leading research institution in Germany. Our work in research, teaching, and knowledge exchange fosters the next generation of responsible global citizens. Our guiding principle “Innovating and Cooperating for a Sustainable Future” drives collaboration locally and globally. We invite you to join our community to create sustainable and digital change for society.

The Free and Hanseatic City of Hamburg promotes equal opportunity. Women are encouraged to apply, and qualified female applicants will receive preference. Severely disabled applicants will also be given preference if equally qualified.

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