Job Information
- Organisation/Company
- University of Crete
- Department
- Research Commitee (ELKE)
- Research Field
- Literature » Greek literature
- Researcher Profile
- First Stage Researcher (R1)
- Country
- Greece
- Application Deadline
- Type of Contract
- Temporary
- Job Status
- Full-time
- Is the job funded through the EU Research Framework Programme?
- HE
- Reference Number
- 101087269
- Is the Job related to staff position within a Research Infrastructure?
- No
Offer Description
About TALOS-Project The objective of the Talos ERA Chair Project funded by the European Union is to create a new centre of excellence in Artificial Intelligence for SSH (Social Sciences and Humanities) that will interconnect several departments of UoC departments at Rethymnon (the Schools of Philosophy, Education and Social Sciences, coordinating department: Department of Philology) under a common research and teaching agenda. TALOS will combine the strengths of neural networks with symbolic reasoning to create a scalable, sustainable and explainable representation of knowledge in the Humanities and the Social Sciences. In order to reach this general objective, six related Research Topics (RT) will be pursued. This call is part of the Research Topic 1: Semantic Annotation of texts (Digital Classics). Position Description: The offered job position will concern the study and creation of openly accessible digital resources for Classical Studies/Ancient Greek Philology, through Artificial Intelligence methods such as Knowledge Representation (CR), Machine Learning (ML) and Natural Language Processing (NLP). The thesis will include the following: 1) Creation of ontologies/knowledge graphs in order to create a tagged corpus of texts of Ancient Greek Literature (prose and/or poetry) and a set of open linked data (LOD), widely-accessible-interoperable-interoperable-reusable (FAIR) in open access. 2) Semantic annotation of the following, individually or in combination (indicative): (a) named entities (b) events (c) geo-location (d) sentiment, emotion The aim of the research is to create ontologies and knowledge graphs for the field of Classical Studies, aiming at the semantic annotation of a corpus of texts of Ancient Greek Literature. For this purpose, the contribution of Artificial Intelligence, Knowledge Representation, Natural Language Processing, and the international standards ISO & W3C will be studied. The research will include ontologies and knowledge graphs used with significant positive results in Digital Humanities and Digital Classics in particular. The end result will allow the user to pose queries e.g. as to events, persons and other named entities (e.g. geographical entities etc.) that occur in the ancient texts under study, which the system will be able to answer, also retrieving the relevant passages. Expected results: 1. doctoral thesis (first completed version) Title: Semantic Annotation and Knowledge Graphs for Classics/Ancient Greek 2. one presentation at a conference 3. one article in scientific journal
Requirements
- Research Field
- Literature
- Education Level
- Bachelor Degree or equivalent
- Research Field
- Computer science
- Education Level
- Bachelor Degree or equivalent
Master Degree in Philology, and/or in Computer Science and/or Digital Humanities Excellent Knowledge of English Two (2) reference letters Additional qualifications Second Master Degree in Philology and/or in Computer Science and/or Digital Humanities Proven experience (research and/or professional) in a field that combines humanities/social sciences with Computer Science.
- Languages
- ENGLISH
- Level
- Excellent
Additional Information
Contract Duration: 36 months Total budget: 72.000, depending on experience and qualifications
Required qualifications: Master Degree Philology and/or in Computer Science and/or Digital Humanities Excellent Knowledge of English Two (2) reference letters Additional qualifications Second Master Degree in Philology and/or in Computer Science and/or Digital Humanities (1 point X degree grade, up to 10 points) Proven experience (research and/or professional) in a field that combines humanities/social sciences with Computer Science. (5 points per year-up to 25). Candidates who meet at least the requested qualifications of the call, will be in invited to an interview, which will take place upon notification by the Evaluation Committee. The interview will assess the knowledge background, the exact reasons why the candidate chose to apply for a specific position, the candidate’s ability to focus primarily on the position being instead of other occupations, his general scientific and organizational profile, his personality and fluency in task organization, teamwork and initiative.
Interested candidates can submit their applications via email: calls.elke-reth@uoc.gr
Applications must include:
1. Curriculum Vitae
2. Supporting documents proving the qualifications (e.g. basic degree, other degrees, proof of working and/or research experience, contracts etc.).
3. Two (2) reference letters
4. Letter of motivation (up to 1000 words)
5. Description of research plan (up to 3000 words)
6. Application form
Contact information:
For information and questions about the advertised position, please contact Dr. Eleni Tamiolaki (tamiolaki@uoc.gr) and Dr. Maria Papadopoulou (maria.papadopoulou@uoc.gr).
Selection procedure: Applications will be evaluated by a 3-member committee headed by ERA Chair, Prof. Christophe Roche. In the case candidates are invited for an interview, they will either be invited to participate in person or via teleconference.
The results of the selection will be announced on the website of ELKE-UOC (https://www.elke.uoc.gr/). Applicants have the right to appeal to the selection decision, by addressing their written objection to the ELKE-UOC secretariat within five days since the results announcement on the web. Objections are submitted in one of the following ways: in person, by an authorized person, by post, by courier, by email (kopanaki@uoc.gr).
- Website for additional job details
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- UNIVERISTY OF CRETE
- Country
- Greece
- State/Province
- CRETE
- City
- RETHYMNO
- Postal Code
- 74150
- Geofield
Where to apply
- calls.elke-reth@uoc.gr
Contact
- State/Province
- Crete
- City
- Rethymno
- Website
- Street
- University Campus, Voutes
- Postal Code
- 74150
- calls.elke-reth@uoc.gr