33.2835, Support: English; Computational Linguistics: PhD, University of Tübingen
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LINGUIST List: Vol-33-2835. Mon Sep 19 2022. ISSN: 1069 - 4875.
Subject: 33.2835, Support: English; Computational Linguistics: PhD, University of Tübingen
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Date: Mon, 19 Sep 2022 20:12:50
From: Xiaobin Chen [xiaobin.chen at uni-tuebingen.de]
Subject: English; Computational 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: Computational Linguistics
Required Language(s): English (eng)
Description:
The Hector Research Institute of Education Sciences and Psychology is
currently inviting applications for the following position: 3-year doctoral
position in natural language generation (m/f/d, 75%, E 13 TV-L1)
Our institute is a nationally and internationally leading research centre for
research on education. The institute consists of a group of around 80
scientists tackling questions related to educational processes and educational
attainment with a uniquely interdisciplinary approach combining knowledge from
the fields of psychology, educational sciences, and many more (e.g.,
computational linguistics, neuroscience, sociology, artificial intelligence,
etc.). More information about the institute can be found at
https://www.hib.uni-tuebingen.de.
We are looking for an excellent doctoral candidate who is motivated to work on
the interdisciplinary field of Artificial Intelligence in Education (AIED),
more specifically focusing on Controllable Natural Language Generation. The
position is 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 candidate. The research focuses of
the positions will be on developing a readability controllable natural
language generation technology. Applicants with backgrounds in any of the
following or related fields are encouraged to apply: computational
linguistics, natural language processing, computer science, machine learning,
artificial intelligence, deep learning.
The position comes with a 3-year contract and the candidate is expected to
start as soon as possible. However, the specific starting date is negotiable
to accommodate the candidate’s individual circumstance.
Benefits:
The doctoral candidate 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, computer science,
machine learning, artificial intelligence, deep learning with excellent grades
and a strong interest in interdisciplinary research are encouraged to apply.
Experience with natural language processing and skills in computer programming
with popular languages such as Python, Java, Node are desirable. Knowledge of
AI in education 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-AP3” 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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