Print

Print


If you know MA/MS students with an interest in DH for Classics, this would be an interesting position. 

---------- Forwarded message ---------
From: Romanello Matteo <[log in to unmask]>
Date: Tue, Feb 25, 2020 at 9:51 AM
Subject: Fully-funded PhD position in document analysis and digital humanities/digital classics at École Polytechnique Fédérale de Lausanne, Switzerland
To: David Smith <[log in to unmask]>


Dear David,
I hope you are doing well!
May I ask you some help in spreading the word about this fully-funded PhD opportunity in the context of my SNF-funded project on commentaries? Especially if you have any master students who may be interested in a DH PhD on applied CS/NLP topics, or also if you could post this to internal or more US-focussed mailing lists, that would be highly appreciated.
Many thanks in advance and all the best,
matteo
================
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 full-time, fully-funded PhD position within the EPFL PhD program in Digital Humanities, 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 "How does a classical hero die in the digital age? Using Sophocles’ Ajax to create a commentary on commentaries", 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 EDDH doctoral school.
  • 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 campus
Starting date: 1st October 2020
Duration: 4 years
Supervisors: 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, 2020
Contact: For questions and/or expressions of interest, contact Matteo Romanello [log in to unmask]
How to apply: via EPFL doctoral school online application (please note that only completed applications will be reviewed). For further information about applying for a PhD at EPFL see PhD admission criteria & application.
[Online at https://go.epfl.ch/phd-dhlab-ambizione]


To unsubscribe from the BOSTONDH list, click the following link:
https://listserv.neu.edu/cgi-bin/wa?SUBED1=BOSTONDH