33.1677, Support: Cognitive Science; Computational Linguistics; Phonetics; Phonology: PhD, University of Cologne

[The LINGUIST List]

LINGUIST List: Vol-33-1677. Wed May 11 2022. ISSN: 1069 - 4875.

Subject: 33.1677, Support: Cognitive Science; Computational Linguistics; Phonetics; Phonology: PhD, University of Cologne

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Date: Wed, 11 May 2022 11:08:44
From: Britt Krukau [bkrukau1 at uni-koeln.de]
Subject: Cognitive Science; Computational Linguistics; Phonetics; Phonology: PhD, University of Cologne, Cologne, Germany

 Institution/Organization: University of Cologne 
Department: CRC 1252 "Prominence in Language" 
Web Address: https://sfb1252.uni-koeln.de/en/ 

Level: PhD 

Duties: Research
 
Specialty Areas: Cognitive Science; Computational Linguistics; Phonetics; Phonology 
 

Description:

PhD Position (f/m/d): Dynamic modelling of prosodic prominence

The Collaborative Research Centre (CRC) 1252 on “Prominence in Language”
investigates prominence with respect to prosody, morphosyntax and semantics as
well as discourse structure in a large variety of languages from more than a
dozen major language families and linguistic areas worldwide. It uses
different experimental techniques in the area of communication and cognition.
All members take full benefit of the Centre’s joint research and training
facilities. Within the framework of the CRC 1252, the project A04 “Dynamic
modelling of prosodic prominence” searches for a doctoral candidate. The
project uses a 3D Electromagnetic Articulograph (3D-EMA twin system) and
acoustic recordings to develop a multidimensional dynamical model of prosodic
prominence.

Your Tasks: 
 - designing, conducting and evaluating articulographic and acoustic
experiments (EMA twin system to record dialogues)
 - statistical modeling of experimental data
 - modeling of speech data in a dynamical framework (task dynamics)
 - collaborating with project scientists in the project and the CRC
 - presenting the results of the work in international conferences and
publications

Your Profile: 
 - you have a Master degree in a linguistics, phonetics, cognitive science,
computer science or a related field
 - you have experience with acoustic and/or articulatory data analysis
 - you are highly proficient in English (proficiency in German is an
advantage)
 - you have basic programming skills (e.g., R, Python, MATLAB) and the
motivation to strengthen your skills in the first few months of the contract
 - you have experience with statistical data analysis
 - you are interested in research experience on an international level 

We Offer You: 
 - an exciting, interactive and supportive research environment 
 - continuous training in the field of speech production and dynamical
modeling of speech data
 - a diverse and fair working environment
 - support in reconciling work and family life
 - flexible working time models
 - extensive advanced training opportunities
 - occupational health management offers
 - local transport ticket at a discount for UoC employees 
 - opportunity for remote work

The positions are available from July 1, 2022 on a part-time basis with 25,89
working hours. The position is to be filled for a fixed term until June 30,
2025. If the necessary prerequisites required by tariff regulations as well as
the sought-after personal qualifications are met, the salary will correspond
to the pay grade 13 as specified in the States‘ Tariff Agreement (TV-L).
The University of Cologne is committed to equal opportunities and diversity.
Women are especially encouraged to apply and will be considered preferentially
in accordance with the Equal Opportunities Act of North Rhine-Westphalia
(Landesgleichstellungsgesetz – LGG NRW). We also expressly welcome
applications from people with disabilities / special needs or of equal status.

Please send your convincing application with proof of the sought
qualifications by email (in one pdf-file) with the reference number
Wiss2204-16 to doris.muecke at uni-koeln.de. The application deadline is May 22,
2022.

If you have any questions, please contact Doris Mücke
(doris.muecke at uni-koeln.de).
 

Application Deadline: 22-May-2022 

Contact Information: 
	Krukau 
	bkrukau1 at uni-koeln.de  


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