[Stellenangebote] Research Associate for the Project “Multimodal Social Signal Processing of Dyadic and Group Interactions”, Uni Hamburg

Di Jun 13 12:32:12 CEST 2023

Liebes Team,

ich bitte um Kenntnisnahme.

Vielen Dank im Voraus.

Mit freundlichen Grüßen

Sera Renée Zentiks

(Pronomen: sie/ihr)

Freie Universität Berlin

FB Mathematik/Informatik

- dezentrale Frauenbeauftragte -

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 Schulte-Hemming, Stephanie
Gesendet: Dienstag, 13. Juni 2023 10:49
An: frauen-inform at informatik.uni-hamburg.de; frauen-inform.inf at uni-hamburg.de
Cc: Gerkmann, Prof. Dr. Timo Florian <timo.gerkmann at uni-hamburg.de>; Scharfenberg, Tim <tim.scharfenberg at uni-hamburg.de>
Betreff: [Frauen-inform] Stellenangebot der Universität Hamburg im FB Informatik, Arbeitsbereich SP - im Projekt CDL

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 das Stellenangebot auch auf der Webseite der UHH: 

 <https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=087c3fa918f949e4282ab746478171e4f7c68334> https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=087c3fa918f949e4282ab746478171e4f7c68334

Beste Grüße

Stephanie Schulte Hemming

i.A. des Arbeitsbereiches Signal Processing

Research Associate for the Project “Multimodal Social Signal Processing of Dyadic and Group Interactions” § 28 Subsection 3 HmbHG

InstitutionFaculty of Mathematics, Informatics and Natural Sciences, Department of Informatics, Signal Processing

Salary level <https://t1p.de/lpes3> EGR. 13 TV-L

Start date01.10.2023, fixed until 30.09.2025 (This is a fixed-term contract in accordance with Section 2 of the academic fixed-term labor contract act [Wissenschaftszeitvertragsgesetz, WissZeitVG]).

Application deadline27.06.2023

Scope of workfull-time position suitable for part-time

Responsibilities

Duties primarily include teaching and research. Research associates may also pursue independent research and further academic qualifications.

Specific Duties

The goal of the successful candidate is to design signal processing and machine learning algorithms to analyze and evaluate existing tools for processing social signals in face-to-face (F2F) situations for their performance in immersive virtual group meetings.

This project is part of the interdisciplinary research group "Computational Human Dynamics – Multimodal Social Signal Processing of Dyadic and Group Interactions”, which integrates fundamental science, innovative methods, and applications in psychology and computer science.

This Cross-Disciplinary Lab (CDL) is funded by the central funds of the University of Excellence and is running in the House of Computing and Data Science (HCDS). All involved researchers will actively contribute to the group, e.g. via research colloquia, presentations, and interactive workshops.

The position includes 4 LVS teaching hours.

Requirements

A university degree in a relevant field.

A degree in Computer Science is perferred. Very good knowledge of and experience with social signal processing and machine learning is required, preferrably applied to speech emotion recognition. 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 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

As a University of Excellence, Universität Hamburg is one of the strongest research universities in Germany. As a flagship university in the greater Hamburg region, it nurtures innovative, cooperative contacts to partners within and outside academia. It also provides and promotes sustainable education, knowledge, and knowledge exchange locally, nationally, and internationally.

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

Stephanie Schulte Hemming

sp-office.inf at uni-hamburg.de <mailto:sp-office.inf at uni-hamburg.de> 

Reference number

257

Location

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

Application deadline

27.06.2023

Send us your complete application documents (cover letter, curriculum vitae, copies of degree certificate[s] and if necessary ID attesting to your disability or proof of equivalent status) via the online application form only.

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.