Humanist Discussion Group, Vol. 37, No. 519.
Department of Digital Humanities, University of Cologne
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Date: 2024-03-29 18:31:41+00:00
From: Stefania Degaetano-Ortlieb <s.degaetano@mx.uni-saarland.de>
Subject: PhD position - Deadline April 15th - CASCADE EU Horizon MSCA - Modeling context for the analysis of language variation and change
New deadline April 15th!
Exciting EU Horizon Doctoral Network Opportunity!
Network: HORIZON Marie Skłodowska-Curie Actions (MSCA) Doctoral Network on
Computational Analysis of Semantic Change Across Different Environments
(CASCADE)
Job Title: PhD Candidate in Computational Linguistics/Digital
Humanities/Computational Humanities/Data Science (AI/NLP)
Project Title: Modeling context for the analysis of language variation and
change
Please share with interested students!
Important: see eligibility requirements below!!
Full official advert available here:
https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaft
ler/W2439.pdf
Workplace
Computational Analysis of Semantic Change Across Different Environments
(CASCADE) is a HORIZON Marie Skłodowska-Curie Actions (MSCA) Doctoral
Networks scheme which will bring together researchers from a variety of
backgrounds, including literary studies, historical text analysis, semantics,
corpus linguistics, machine learning and natural language processing. The
project will emphasise the importance of computational linguistics and
humanities scholarship as skills that bring value and competitive edge to
organisations concerned with semantically aware information retrieval and
text analytics. CASCADE is a partnership between University College Cork,
the University of Sheffield, KU Leuven, the University of Helsinki, and Saarland
University.
Location
This position is to be filled at Saarland University, seeking applications
for a PhD project entitled Diachronic development of text types in the English
Language, which will be one of ten funded projects to emerge out of
CASCADE's doctoral network. The successful candidate will be appointed
as Marie Curie Early Career Researchers at Saarland University, enrolled in a
fully-funded three-year PhD programme.
The successful candidate will be supervised by PD Dr. Stefania
Degaetano-Ortlieb. The position will be located within the Department of
Language Science and Technology. The successful applicant will have the
opportunity to collaborate with researchers affiliated with the DFG-funded
Collaborative Research Center (CRC) 1102 on Information Density and Linguistic
Encoding at Saarland University. CRC 1102 is a thriving research environment
with over 30 PhD students and postdocs from many subfields of Linguistics,
Computational Linguistics and Psycholinguistics. The Department of
Language Science and Technology consists of about 100 research staff in nine
research groups in the fields of Computational Linguistics, Psycholinguistics,
Speech Processing, and Corpus Linguistics. It is part of Saarland Informatics
Campus, which brings together computer science research at the
university with world-class research institutions on campus.
Project description
The project Modeling context for the analysis of language variation and
change will use computational approaches to mode linguistic and
extra-linguistic context for the analysis of language variation and change.
Context has a major impact on how we process language. However, the notion
of context is very broad ranging from broadly conceived pragmatic
conditions, i.e. the extra-linguistic context (e.g. socio-cultural factors,
genres, time), to the relationship among linguistic elements that can
substitute for each other in a given context, i.e. the paradigmatic context,
up to the local linguistic context of linguistic elements, i.e. the
syntagmatic context. While studies on language variation and change do
encompass the notion of context, the coverage of contextual factors is often
relatively limited. This project will apply and further develop
computational modeling techniques to integrate contextual factors among the
types of context described above to arrive at more comprehensive accounts of
effects of contextual factors on language variation and change.
Eligibility: This is important!
The vacancy is open to applicants of all nationalities who comply with the
mobility requirement and the degree requirement:
* applicants must not have resided in the country of the CASCADE
university that will host them (university of the main supervisor, Germany
in this case) for more than 12 months in the 36 months preceding appointment
* applicants must not hold a doctoral degree in any other field or
have failed a corresponding doctoral examination at another higher education
institution.
More information about the Network
CASCADE is committed to creating an environment in which all talents can
develop to their maximum potential, regardless of gender, age, cultural origin,
nationality or disability. We particularly encourage candidates from
traditionally underrepresented groups to apply.
CASCADE is advertising positions for 10 candidates within its network, who
will be housed across the five participating universities. While applications
are welcome to apply for more than one project, applications for each
position must be submitted separately. In the event an applicant does apply
for more than one position and has a particular preference, this should be
indicated by email to PD Dr. Stefania Degaetano-Ortlieb. Applicants are
encouraged to only apply for projects for which they are ideally qualified
and suitable. The recruitment process will be done centrally by the CASCADE
selection committee.
Job requirements and responsibilities
* Participation in the general training programme of the doctoral
network (kick-off, monthly online research meetings, annual workshops and
schools, and final conference)
* Collaboration with a multidisciplinary research group focused on
the intersection of Computational Linguistics, Linguistics, and Digital
Humanities.
* Creation of a computational approach to model contextual factors.
* Large-scale analysis of effects of contextual factors on modeling
language variation and change.
* Participation in joint publications and engagement in academic
service.
* The successful candidate will be expected to participate in a
series of international conferences and workshops, as well as undertake
secondments in Germany and abroad.
Your academic qualifications
* Completed university studies in Digital Humanities, Computational
Linguistics, Data Science, AI/NLP, Information Science, or related fields,
held by time of appointment
* Language skills (according to GER): English - B2
The successful candidate will also be expected to:
* Demonstrated experience in applying computational methods to textual
data (essential);
* Familiarity with eighteenth-century English data sources (desirable)
* Capability to bridge the gap between data science and the humanities
(essential);
* Enthusiasm for inter- and multidisciplinary research and ability to
work independently and collaboratively
* (essential);
* Strong research, analytical, and organizational skills (essential);
* Excellent written and verbal communication skills (essential);
* A good command of English is mandatory;
* Language skills (according to GER): English B2
What we can offer you:
* A flexible work schedule allowing you to balance work and family
* Interdisciplinary supervision and structured PhD training
* An occupational health management model with numerous attractive
options, such as our university sports program
* A broad range or further education and professional development
programmes (e.g. language courses)
Applicants are requested to enclose the following documents in English with
their application:
1. A curriculum vitae, including any publications (max. 10 pages);
2. A cover statement outlining the applicant's ambitions for Diachronic
development of text types in the English Language and the wider CASCADE
network (max. 2 pages);
3. A single-authored writing sample from your previous studies (any
length).
We look forward to receiving your meaningful online application (in a PDF
file) by 15.4.2024 (extension is planned) to s.degaetano@mx.uni-saarland.de .
Please include the reference number W2440 in the subject line of the e-mail.
If you have any questions, please contact us for assistance.
Your contact:
PD Dr. Stefania Degaetano-Ortlieb
Assistant Professor (Akademische Rätin)
Department of Language Science and Technology
Saarland University
Campus A2.2
66123 Saarbrücken
s.degaetano@mx.uni-saarland.de
www.stefaniadegaetano.com
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