The below job will be of interest to readers of this blog.
Via Matteo Romanello:
The DHLAB at EPFL in association with the Institut d’archéologie et des sciences de l’antiquité of the University of Lausanne invites applications for one full-time, fully-funded PhD position within the , working at the intersection between Computer Science and Classics.The successful candidate will develop their own research project around the following topics: semantic information extraction by combining text-based and image-based methods; alignment and document analysis of scholarly publications (19c – 21c) characterised by complex layouts and rich visual grammars; and the development of a representation model for texts with a complex textual tradition.The PhD thesis will be part of the research project , funded by the Swiss National Science Foundation (SNSF) and led by Matteo Romanello (University of Lausanne).Profile:
- Applicants should hold a master’s degree in Computer Science or Digital Humanities.
- Experience with natural language processing/information extraction (including machine learning approaches to it) is mandatory. Some familiarity with textual criticism is desirable. PhD candidates will further develop their analytical and methodological skills by attending the .
- Fluent English; French and/or Ancient Greek/Latin is an asset. The dissertation can be written in English or French.
- Interest in working in a collaborative, interdisciplinary and international environment.
- Candidates of all nationalities are invited to apply; applications from women are especially welcome.What we offer:
- workplace: EPFL/UNIL campusStarting date: 1st October 2020Duration: 4 yearsSupervisors: Matteo Romanello (UNIL) and Frederic Kaplan (EPFL)Terms of employment: Fixed-term at 100% work rate. EPFL offers internationally competitive salaries and generous research support.Deadline for applications: April 30, 2020Contact: For questions and/or expressions of interest, contact Matteo RomanelloHow to apply: via EPFL (please note that only completed applications will be reviewed). For further information about applying for a PhD at EPFL see .[Online at https://go.epfl.ch/phd-dhlab-ambizione]