32.1179, Support: Computational Linguistics; Phonetics: PhD, University Groningen

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LINGUIST List: Vol-32-1179. Fri Apr 02 2021. ISSN: 1069 - 4875.

Subject: 32.1179, Support: Computational Linguistics; Phonetics: PhD, University Groningen

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Date: Fri, 02 Apr 2021 13:22:23
From: Matt Coler [m.coler at rug.nl]
Subject: Computational Linguistics; Phonetics: PhD, University Groningen, Netherlands

 Institution/Organization: University Groningen 
Department: Campus Frylsan 
Web Address: https://www.rug.nl/cf/ 

Level: PhD 

Specialty Areas: Computational Linguistics; Phonetics 
 

Description:

The University of Groningen offers a four-year PhD student scholarship to
complete a dissertation on a topic related to “voice and speech technology”.
The PhD candidate will be supervised by Dr Matt Coler alongside other relevant
experts (depending on the topic) and will be a member of the “Culture,
Language and Technology” Flagship team which is composed of a diverse team of
PhD students, postdoctoral researchers and visiting scholars.

The PhD candidate will be enrolled in the Graduate School Campus Fryslân
(GSCF) and can benefit from affiliations at other faculties at the University
of Groningen (Linguistics, A.I., Computer Sciences, among others). The PhD
candidate could also have a role to play in the new Master’s program in Voice
Technology.

Topics of interest for the doctoral research include (but are not limited to):
- Automatic speech recognition: Language and speaker identification (incl.
language and dialect verification and diarization, etc.), speaker-state
recognition (incl. speaker states and traits identification, intoxication
detection, etc), recognition of atypical/pathological speech, multilingual
issues relating to speech recognition, and similar.
- Speech synthesis: Voice modification and conversion, increasing naturalness,
etc.
- Paralinguistic, suprasegmental, and/or acoustic-related issues: Techniques
to analyze other aspects relating to voice including e.g. vocal fry,
laryngealization, coughs, filled pauses, laughter, etc. and/or
acoustic-related issues (acoustic event detection, acoustic scene
classification, etc.).
- Voice technology for multilingual and lesser-resourced languages: Alongside
the aforementioned topics, of particular interest are proposals that involve
multilingual or lesser-resourced languages.

Interdisciplinary proposals that involve expertise from social sciences
(linguistics, psychology, anthropology) and physical / data sciences (A.I.,
data science, acoustics, physiology) and/or which could connect to initiatives
outside of academia, including those in the private sector (serious games,
speech and language pathology) or the public sector (education, healthcare)
are very welcome.

Qualifications:
The candidate should have the following qualifications:
- Master’s degree in a relevant academic field, e.g. Computer Science, AI,
Linguistics, Speech processing, etc.
- demonstrable affinity with qualitative and quantitative research methods
- programming skills and basic knowledge in machine learning are an advantage
- research experience is an asset
- highly developed conceptual capacity and analytical skills
- very good record of undergraduate and graduate studies
- very good command of spoken and written English. Dutch proficiency is an
asset
- very good individual and collaborative working skills
- excellent presentation skills
- demonstrable planning and organizational skills
- strong motivation to complete a PhD dissertation in four years.

Conditions:
The position is offered within the UG PhD Scholarship Programme. This
programme is issued by the Dutch Ministry of Education, Culture, and Science
(OCW) within the framework of the national PhD Scholarship Experiment. PhD
Scholarship students receive a scholarship (stipend) of € 2,207 per month
(gross) from the University of Groningen. PhD Scholarship students are not
employed by the university. 
 

Web Address for Applications: https://www.rug.nl/phd-scholarships?details=00347-02S00086MP 

Contact Information: 
	Matt Coler
	m.coler at rug.nl  


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