8 June: FYI -- computational linguistics PhD funding, Darmstadt & Heidelberg
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The Research Training Group „Adaptive Information Preparation from
Heterogeneous Sources“ (AIPHES) at the Technische Universität Darmstadt
and at the Ruprecht‑Karls‑University Heidelberg is filling a position
for three years, starting as soon as possible:
Doctoral Researcher in Natural Language Processing
The position provides the opportunity to obtain a doctoral degree with
an emphasis on the guiding theme D1: Multi-level models of information
quality, under the leadership of Prof. Dr. Iryna Gurevych (UKP Lab, TU
Darmstadt). A possible research focus of the position is an automatic
claim checking with its applications in the domain of computational
journalism. However, other suitable topics may be proposed as well. The
funding follows the guidelines of the DFG, and the positions are paid
according to the E13 public service pay scale.
The goal of AIPHES is to conduct innovative research in a
cross-disciplinary context. To that end, methods in computational
linguistics, natural language processing, machine learning, network
analysis, and automated quality assessment are being developed. AIPHES
investigates a novel scenario for information preparation from
heterogeneous sources, within the application context of multi-document
summarization. There exists close interaction with end users who prepare
textual documents in an online editorial office and therefore profit
from the results of AIPHES.
Participating research groups at the Technische Universität Darmstadt
are Knowledge Engineering (Prof. Fürnkranz), Ubiquitous Knowledge
Processing (Prof. Gurevych, Dr. Eckle-Kohler, Dr. Meyer), Algorithmics
(Prof. Weihe), Language Technology (Prof. Biemann). Participants at the
Ruprecht‑Karls‑University Heidelberg are the Institute for Computational
Linguistics (Prof. Frank) and the Natural Language Processing Group
(Prof. Strube) of Heidelberg Institute for Theoretical Studies (HITS).
Cooperating partners are the Institute for Communication and Media of
the University of Applied Sciences Darmstadt and other partners in the
area of online media.
AIPHES emphasizes close contact between students and their advisors, has
regular joint meetings, a co-supervision by professors and younger
scientists in the research groups, and an intensive exchange as part of
the research and qualification program. The training group has the goal
of publishing its results at leading scientific conferences and actively
supports its doctoral researchers in this endeavor. The software that
will be developed in the course of AIPHES should be put under the open
source Apache Software License 2.0 if possible. Moreover, the research
papers and datasets should be published with open access models.
Prerequisites
We are looking for exceptionally qualified candidates with a degree in
Computer Science, Computational Linguistics, or a related study program.
We expect ability to work independently, personal commitment, team and
communication abilities, as well as the willingness to cooperate in a
multi-disciplinary team. Desirable is experience in scientific work.
Applicants should be able to work with German-language texts, and, if
necessary, to acquire German language skills during the training
program. We specifically invite applications of women. Among those
equally qualified, handicapped applicants will receive preferential
consideration. International applications are particularly encouraged.
The Department of Computer Science of TU Darmstadt is regularly ranked
among the top ones in respective rankings of German universities. Its
unique research initiative "Knowledge Discovery in the Web” emphasizes
natural language processing, text mining, machine learning, as well as
scalable infrastructures for assessment and aggregation of knowledge.
The Institute for Computational Linguistics (ICL) of the
Ruprecht‑Karls‑University Heidelberg is one of the large centers for
computational linguistics both in Germany and internationally.
Applications should include:
- a motivational letter explaining the applicant’s possible contribution
to the guiding theme D1,
- a CV with information about the applicant’s scientific work,
- certifications of study and work experience,
- as well as a thesis or other publications in electronic form.
They should be submitted until June 30th, 2016 to the spokesperson of
the research training group, Prof. Dr. Iryna Gurevych (Fachbereich
Informatik, Hochschulstr. 10, 64289 Darmstadt) using the e-mail address
jobs(a-t)ukp.informatik.tu-darmstadt.de.
--
Tristan Miller, Research Scientist
Ubiquitous Knowledge Processing Lab (UKP-TUDA)
Department of Computer Science, Technische Universität Darmstadt
Tel: +49 6151 162 5296 | Web: https://www.ukp.tu-darmstadt.de/
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