PhD Position in Computational Literary Studies and Network Science
The Social Networks Lab at ETH Zürich invites applications for a doctoral researcher position as part of a collaborative project with the Digital Literary Studies Group at TU Darmstadt within the DFG Research Priority Computational Literary Studies (SPP 2207).
We use data science, and network science in particular, to study groups and positions of texts such as those written by female authors within literary corpora.
Our main subject is a carefully curated corpus of German and English-language novels and narratives of the 18th Century and Goethezeit.
Our project offers the opportunity to develop new methods for the digital humanities. Using text processing and machine learning tools, problems are tackled using novel network science approaches. The Social Networks Lab is a dynamic research environment with wide-ranging and interdisciplinary collaborations. The successful candidate will collaborate directly with literary scholars within the project, and participate in a larger initiative of researchers at the forefront of computational literary studies. The position is funded by the Swiss National Science Foundation (SNSF) and is available from January 2020 for 3+ years.
The deadline for applications is November 30, 2019.
An excellent university degree in computer science, data science, or similar, and prior knowledge in one or more of the following topics: natural language processing, clustering, network analysis, graph algorithms. A background in digital humanities or other fields is suitable as well if comprehensive project-relevant expertise can be demonstrated.
We look forward to receiving your online application with the following documents: CV, motivation letter, transcript of records. Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.
Further information about the Social Networks Lab can be found on our website sn.ethz.ch. For specific information, please contact Prof. Dr. Ulrik Brandes at email@example.com (no applications).