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

Do Aug 8 10:12:28 CEST 2024

Liebes Team,

ich bitte um Kenntnisnahme.

Vielen Dank im Voraus.

Mit freundlichen Grüßen

Sera Renée Zentiks

(Pronomen: sie/she)

Freie Universität Berlin

FB Mathematik/Informatik

- dezentrale Frauen- und Gleichstellungsbeauftragte -

Arnimallee 14

14195 Berlin

+4930/838-75453

Die Geschlechtsidentität von Menschen ist weder aus dem Aussehen noch aus dem Namen verlässlich abzuleiten. Gerne können Sie mir in Ihren E-Mails mitteilen, wie ich Sie ansprechen darf.

Von: Frauen-inform <frauen-inform-bounces at informatik.uni-hamburg.de> Im Auftrag von Inf, SP-Office via Frauen-inform
Gesendet: Dienstag, 6. August 2024 14:17
An: frauen-inform.inf at uni-hamburg.de; frauen-inform at informatik.uni-hamburg.de
Cc: Inf, SP-Office <sp-office.inf at uni-hamburg.de>
Betreff: [Frauen-inform] FW: Stellenangebot der Universität Hamburg

Liebe Interessierte, 

wir möchten Sie informieren, dass die Bewerbungsfrist für das untenstehende Stellenangebot bis zum 11.8.2024 verlängert wurde. Der Link zur offiziellen Bekanntmachung ist unverändert geblieben. 

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, 6. Juni 2024 um 17:33
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.inf at uni-hamburg.de <mailto:frauen-inform.inf at uni-hamburg.de> " <frauen-inform.inf at uni-hamburg.de <mailto:frauen-inform.inf at uni-hamburg.de> >
Cc: Tim Scharfenberg <tim.scharfenberg at uni-hamburg.de <mailto:tim.scharfenberg at uni-hamburg.de> >, "Gerkmann, Prof. Dr. Timo Florian" <timo.gerkmann at uni-hamburg.de <mailto:timo.gerkmann at uni-hamburg.de> >, "Inf, SP-Office" <sp-office.inf at uni-hamburg.de <mailto:sp-office.inf at uni-hamburg.de> >
Betreff: Stellenangebot der Universität Hamburg

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

Link <https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=0192950c5c863d6aa84c4a5fa69c328cfcefa30a>  zur Ausschreibung

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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:  <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: 17.07.2024

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.

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.

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

175

Location

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

Application deadline

17.07.2024

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.