[Stellenangebote] Research Associate for the Project “Diffusion Based Deep Generative Models for Speech Signal Processing”, Universität Hamburg

Fr Okt 11 15:09:52 CEST 2024

Liebes Team,

ich bitte um Kenntnisnahme.

Vielen Dank im Voraus.

Mit freundlichen Grüßen

Sera Renée Zentiks

Freie Universität Berlin

FB Mathematik/Informatik

- dezentrale Frauen- und Gleichstellungsbeauftragte -

Arnimallee 14

14195 Berlin

+4930/838-75453

Von: Frauen-inform <frauen-inform-bounces at informatik.uni-hamburg.de> Im Auftrag von Inf, SP-Office via Frauen-inform
Gesendet: Dienstag, 8. Oktober 2024 15:39
An: frauen-inform at informatik.uni-hamburg.de; Frauen-inform <frauen-inform-bounces at informatik.uni-hamburg.de>
Cc: Scharfenberg, Tim <tim.scharfenberg at uni-hamburg.de>; Inf, SP-Office <sp-office.inf at uni-hamburg.de>; Gerkmann, Prof. Dr. Timo Florian <timo.gerkmann at uni-hamburg.de>
Betreff: [Frauen-inform] FW: Stellenangebot der Universität Hamburg/ Fachbereich Informatik/ Arbeitsbereich Signal Processing/ Prof. Timo Gerkmann

Liebe Interessierte, 

wir möchten Sie informieren, dass die Bewerbungsfrist für die unten bekanntgegebene Stellenausschreibung 291 bis zum 22.10.2024 verlängert worden ist. Dies ist der Link zum aktualisierten Stellenangebot: Link <https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=3f7d17583e862f68e70c92dd58d04d01ee215849> . Wir bitten um Beachtung. 

Mit freundlichen Grüßen

i.A. Stephanie Schulte Hemming

Von: "Inf, SP-Office" <sp-office.inf at uni-hamburg.de <mailto:sp-office.inf at uni-hamburg.de> >
Datum: Donnerstag, 19. September 2024 um 15:42
An: "frauen-inform at informatik.uni-hamburg.de <mailto:frauen-inform at informatik.uni-hamburg.de> " <frauen-inform at informatik.uni-hamburg.de <mailto:frauen-inform at informatik.uni-hamburg.de> >, Frauen-inform <frauen-inform-bounces at informatik.uni-hamburg.de <mailto:frauen-inform-bounces at informatik.uni-hamburg.de> >
Cc: "Inf, SP-Office" <sp-office.inf at uni-hamburg.de <mailto:sp-office.inf at uni-hamburg.de> >, "Gerkmann, Prof. Dr. Timo Florian" <timo.gerkmann at uni-hamburg.de <mailto:timo.gerkmann at uni-hamburg.de> >, Tim Scharfenberg <tim.scharfenberg at uni-hamburg.de <mailto:tim.scharfenberg at uni-hamburg.de> >
Betreff: Stellenangebot der Universität Hamburg/ Fachbereich Informatik/ Arbeitsbereich Signal Processing/ Prof. Timo Gerkmann

Liebe Interessierte, 

anliegend senden wir Ihnen ein Stellenangebot der Universität Hamburg aus dem Fachbereich Informatik, Arbeitsbereich Signal Processing bei Prof. Timo Gerkmann, mit der Bitte um Beachtung.

Mit freundlichen Grüßen

i.A. Stephanie Schulte-Hemming

Arbeitsbereich Signal Processing

Prof. Timo Gerkmann

Link <https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=3f7d17583e862f68e70c92dd58d04d01ee215849>  zur Ausschreibung

___________________________

Research Associate for the Project “Diffusion Based Deep Generative Models for Speech Signal Processing” § 28 Subsection 3 HmbHG

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

Salary level:  <https://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2023&matrix=1> EGR. 13 TV-L

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]).

Application deadline: 17.10.2024

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

Your responsibilities

Duties include academic services in the project named above. Research associates may also pursue independent research and further academic qualifications. They may also pursue doctoral studies outside of working duties.

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.

The advertised position is aimed at a Master’s degree graduate looking to undertake doctoral studies to complete a dissertation on the topic of the project named above.

Your profile

A university degree in a relevant field.

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

Interested candidates must have obtained a Master's degree prior to the commencement of employment. Interested candidates are requested to attach a copy of their degree certificates and a transcript of records to their online application.

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 , 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.

Instructions for applying

Contact

Prof. Dr.-Ing. Timo Gerkmann

 <mailto:timo.gerkmann at uni-hamburg.de> timo.gerkmann at uni-hamburg.de

 <tel:4940428832438> +49 40 42883-2438

Stephanie Schulte-Hemming

 <mailto:stephanie.schulte.hemming at uni-hamburg.de> stephanie.schulte.hemming at uni-hamburg.de

 <tel:4940428832014> +49 40 42883-2014

Reference number

291

Location

Vogt-Kölln-Str. 30
22527 Hamburg
Zu Google Maps <https://maps.google.de/maps/place/Vogt-Kölln-Str.+30,+22527+Hamburg> 

Application deadline

17.10.2024

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

*	cover letter
*	CV
*	copies of degree certificate(s)

If you experience technical problems, send an email to  <mailto:bewerbungen at uni-hamburg.de> bewerbungen at uni-hamburg.de.

More information on  <https://www.uni-hamburg.de/en/stellenangebote/datenschutz.html> data protection in selection procedures.