LINGUIST List 33.2835
Mon Sep 19 2022
Support: English; Computational Linguistics: PhD, University of Tübingen
Editor for this issue: Lauren Perkins <laurenlinguistlist.org>
Date: 19-Sep-2022
From: Xiaobin Chen <xiaobin.chen
uni-tuebingen.de>
Subject: English; Computational Linguistics: PhD, University of Tübingen, Germany
E-mail this message to a friend Department: Faculty of Economics and Social Sciences
Web Address:
https://uni-tuebingen.de/en/faculties/faculty-of-economics-and-social-sciences/subjects/ Level: PhD
Institution/Organization: University of Tübingen
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
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
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.
Applications Deadline: 14-Oct-2022
Contact Information:
Xiaobin Chen
xiaobin.chen
uni-tuebingen.de
Page Updated: 19-Sep-2022