33.2834, Support: English; Applied Linguistics; Computational Linguistics; Language Acquisition; Text/Corpus Linguistics: PhD, University of Tübingen
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LINGUIST List: Vol-33-2834. Mon Sep 19 2022. ISSN: 1069 - 4875.
Subject: 33.2834, Support: English; Applied Linguistics; Computational Linguistics; Language Acquisition; Text/Corpus Linguistics: PhD, University of Tübingen
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Date: Mon, 19 Sep 2022 20:09:42
From: Xiaobin Chen [xiaobin.chen at uni-tuebingen.de]
Subject: English; Applied Linguistics; Computational Linguistics; Language Acquisition; Text/Corpus Linguistics: PhD, University of Tübingen, Germany
Institution/Organization: University of Tübingen
Department: Faculty of Economics and Social Sciences
Web Address: https://uni-tuebingen.de/en/faculties/faculty-of-economics-and-social-sciences/subjects/
Level: PhD
Specialty Areas: Applied Linguistics; Computational Linguistics; Language Acquisition; Text/Corpus Linguistics
Intelligent Computer Assisted Language Learning, NLP, Intelligent Tutoring Systems
Required Language(s): English (eng)
Description:
The Hector Research Institute of Education Sciences and Psychology is
currently inviting applications for the following positions: two 3-year
doctoral positions in intelligent tutoring systems (m/f/d, 75%, E 13 TV-L1)
Our institute is a nationally and internationally leading research centre for
research on education. We are looking for two excellent doctoral candidates
who are motivated to work on the interdisciplinary field of Artificial
Intelligence in Education (AIED), more specifically focusing on Intelligent
Tutoring Systems (ITSs). The positions are part of a new AI research group
funded by the Federal Ministry of Education and Research (BMBF) and led by Dr.
Xiaobin Chen, who will also act as the primary supervisor of the doctoral
candidates. The research focuses of the positions will be on adaptive learning
input selection, adaptive feedback generation, and adaptive pedagogical
decision making. Applicants with backgrounds in any of the following or
related fields are encouraged to apply: computational linguistics, natural
language processing, second language acquisition, TESOL, applied linguistics,
intelligent tutoring systems, artificial intelligence in education, computer
science, software engineering.
The positions come with 3-year contracts and candidates are expected to start
as soon as possible. However, individual starting dates are negotiable to
accommodate the candidates’ individual circumstances.
Benefits:
The doctoral candidates will benefit from unique opportunities, including:
- Close collaboration, mentoring, and professional development from a
supervisory team
- Work with an inspiring, multidisciplinary, and international team that
includes many other talented PhD candidates
- Supportive environment to enable presentations at national and
international conferences and publications in highly ranked journals to
advance an (international) academic career
- Opportunities for interdisciplinary and international exchange programs
(e.g., lab visits)
- Membership in the LEAD Graduate School & Research Network
(https://www.lead.uni-tuebingen.de)
Requirements:
Graduates (and applicants about to graduate) with a master’s degree in
computational linguistics, natural language processing, second language
acquisition, TESOL, applied linguistics, intelligent tutoring systems,
artificial intelligence in education, computer science, or software
engineering with excellent grades and a strong interest in interdisciplinary
research are encouraged to apply. Experience and interest in quantitative
research methodologies (using R, SPSS, Stata, Mplus, etc.) are desirable.
Knowledge of AI technologies, programming skills, and educational research
experience are preferred but not necessary.
For further inquiries about the position, please reach out to Dr. Xiaobin Chen
(xiaobin.chen at uni-tuebingen.de).
How to apply:
Send the following documents in a single PDF file via email with the subject
line “Position Ref. No.: Polke-AP2” to jobs at hib.uni-tuebingen.de by Oct. 14,
2022:
- a cover letter detailing (1) your motivation to pursue a doctoral degree in
Tübingen, and (2) your past experience related to the position
- a CV
- degree(s) and other certificates with transcripts
- reference letters (optional)
Disabled candidates will be given preference over other equally qualified
applicants. The University seeks to raise the number of women in research and
teaching and therefore urges qualified women to apply for these positions.
Employment will be conducted by the central university administration.
Application Deadline: 14-Oct-2022
Contact Information:
Xiaobin Chen
xiaobin.chen at uni-tuebingen.de
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