Independent Research Group Leader “Natural Language Processing for the Humanities”

The Department of Computer Science of Technische Universität Darmstadt seeks to fill an Independent Research Group (IRG) Leader position for the initial duration of four years. The program allows young scientists to found their own research group. It is similar in spirit to DFG's Emmy Noether Program. The focus of the Independent Research Group will be on cutting-edge Natural Language Processing research with its novel applications to support humanities research, e.g. mining scientific literature, automatic discourse analysis, or multimodal content classification to identify bias or tone computationally. The goal of the position is to strengthen the rapidly growing profile of the Department in Data Analytics at the intersection of Natural Language Processing, Computer Vision, and Machine Learning on the one side, and to further develop the connection between Computer Science and the Humanities on the other side.

The IRG Leader will receive an opportunity to conduct independent research and teaching, and the funding to hire a PhD student (similar to assistant professors). Candidates must have completed their PhD in Computer Science or related area, have an outstanding publication record and demonstrate experience in working with the international research community. Ideally they have held at least one postdoc position at a university other than the one they obtained their PhD degree from. The program offers competitive personal compensation and access to resources. The IRG Leaders are employed by TU Darmstadt on its own pay scale TV-TU Darmstadt. Applicants are selected based on their credentials, references, and participation in a scientific colloquium. We expect the ability to work independently, personal commitment, team and communication abilities, as well as the willingness to cooperate in a multi-disciplinary team. We specifically invite applications of women. Among those equally qualified, handicapped applicants will receive preferential consideration. International applications are particularly encouraged.

The successful candidate will be given the opportunity to join the PI team of the graduate school “Adaptive Preparation of Information from Heterogeneous Sources” (AIPHES). The project conducts 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 developed. AIPHES investigates a novel scenario for information preparation from heterogeneous sources, within the application context of multi-document summarization. There is close interaction with end users who prepare textual documents in an online editorial office, and who should therefore benefit from the results of AIPHES. In-depth knowledge in one of the above areas is required.

The Department of Computer Science of TU Darmstadt is regularly ranked among the top ones in respective rankings of German universities. Its unique “Centre for the Digital Foundation of Research in the Humanities, Social, and Educational Sciences” (CEDIFOR) emphasizes natural language processing, text mining, machine learning, as well as scalable infrastructures for assessment and aggregation of knowledge applied to novel research problems from the Humanities domain.

Applications should be submitted to by November 24, 2017 and include a research and teaching statement along with the CV, publication list, name of three academic references, and further supporting documents. In case of questions, please contact Prof. Dr. Iryna Gurevych: gurevych(a-t) The position is open until filled.

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