The newly established Research Training Group „Adaptive Information Preparation from Heterogeneous Sources“ (AIPHES) at the Technische Universität Darmstadt and at the Ruprecht-Karls-University Heidelberg is filling several positions for three years, starting as soon as possible:

PhD-level Researchers in Language Technology or Computational Linguistics

The positions provide the opportunity to obtain a doctoral degree with an emphasis within one of the following guiding themes:
- A3: Opinion and Sentiment - extrapropositional aspects of discourse (Univ. of Heidelberg)
- B1: Structured summaries of complex contents (TU Darmstadt)
- B2: Content selection based on linked lexical resources (TU Darmstadt)
- D1: Multi-level models of information quality in online scenarios (TU Darmstadt)
- D2: Manual and Automatic Quality Assessment of Summaries from Heterogeneous Sources (TU Darmstadt)

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 on multi-document summarization in a cross-disciplinary context. To that end, methods in computational linguistics, natural language processing, machine learning, network analysis, and automated quality assessment will be developed. AIPHES will investigate a novel summarization scenario for information preparation from heterogeneous sources. There will be close interaction with end users who prepare textual documents in an online editorial office, and who should therefore profit from the results of AIPHES. In-depth knowledge in one of the above areas is desirable but not a prerequisite.

Further details:
http://www.aiphes.tu-darmstadt.de