[Stellenangebote] Research Associate for SPEECH AND AUDIO SIGNAL PROCESSING, Universität Hamburg

Fr Dez 8 15:50:01 CET 2023

Liebes Team,

ich bitte um Kenntnisnahme.

Viele Grüße,

Sera Renée 

Von: Frauen-inform <frauen-inform-bounces at informatik.uni-hamburg.de> Im Auftrag von Inf, SP-Office
Gesendet: Donnerstag, 7. Dezember 2023 13:14
An: frauen-inform at informatik.uni-hamburg.de
Cc: Inf, SP-Office <sp-office.inf at uni-hamburg.de>; Scharfenberg, Tim <tim.scharfenberg at uni-hamburg.de>
Betreff: [Frauen-inform] Stellenausschreibung am Fachbereich Informatik der Universität Hamburg

Liebe Interessierte,

untenstehend finden Sie eine aktuelle Stellenausschreibung des Arbeitsbereichs „Signal Processing“ (SP)

aus dem Fachbereich Informatik der Universität Hamburg mit der Bitte um Beachtung. 

Unter diesem Link finden Sie die Ausschreibung auf der Webseite der Universität: https://www.uni-hamburg.de/en/stellenangebote/ausschreibung.html?jobID=94262d7f3ce61b7777ca8449a09f82ce00a13ed3

Mit freundlichen Grüßen

Stephanie Schulte Hemming

Arbeitsbereich Signal Processing

Research Associate for SPEECH AND AUDIO SIGNAL PROCESSING § 28 Subsection 1 HmbHG (PhD) or § 28 Subsection 2 HmbHG (Postdoc)

Institution: Faculty of Mathematics, Informatics and Natural Sciences, Department of Informatics

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

Start date: 16.03.2024, the initial fixed term is three years. For the postdoc position (§ 28 Abs. 2 HmbHG) the contract provides for a maximum extension of up to three years depending on the associate’s achievements during the first stage. Providing that a position is available and that requirements have been fulfilled, the associate may apply for temporary civil servant status in accordance with Section 28 subsection 2 HmbHG.

Application deadline: 06.01.2024

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

Your 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.

The general focus of the Signal Processing (SP) research group is on developing novel methods for processing speech and audio signals with applications in speech communication devices such as hearing aids, mobile telephony, and voice-controlled assistants. Typically, the performance of these devices drops drastically when interfering sources, noise, and/or reverberation are present, e.g. in a noisy restaurant or in traffic. The goal of the candidate is to develop novel methods to enable or facilitate speech communication and voice control in such acoustically challenging scenarios. In this context, possible PhD topics include source separation, source localization, speech enhancement and multimodal signal processing using modern methods of machine learning and artificial intelligence.

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 the 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/week in the computer science department. We are interested in a highly motivated person who is interested in working with us on cutting edge research in a pleasant working atmosphere.

Your profile

PhD position:

*	a university degree in a relevant field

Postdoc position:

*	a university degree in a relevant field plus doctorate

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

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
*	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

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

 <tel:4940428832438> +49 40 42883-2438

Stephanie Schulte Hemming

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

 <tel:4940428832014> +49 40 42883-2014

Reference number

479

Location

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

Application deadline

06.01.2024

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

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

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.