Scientific Project Staff with PhD (m/f/d)

Universität Graz; Graz; Vor Ort; EUR 69 000 - 80 000; Vollzeit

Zusammenfassung

An established institution is seeking a dedicated researcher to join an innovative project exploring early medieval language contact. This role involves participation in a European Research Council project, focusing on digital editions and the analysis of glossed manuscripts using advanced methodologies like Natural Language Processing and network analysis. The successful candidate will contribute to significant scholarly work, engage in publication activities, and present findings at conferences. Join a collaborative environment that values diversity and offers meaningful work for the future.

Leistungen

Zugang zu Gesundheitsdiensten

Fortbildungsprogramme

Interdisziplinäre Zusammenarbeit

Flexible Arbeitszeiten

Vielfalt am Arbeitsplatz

Qualifikationen

• Abgeschlossenes Doktorat/PhD in Digital Humanities oder Data Analytics.
• Erfahrung mit digitalen Ausgaben und linguistischen Projekten.

Aufgaben

• Teilnahme am ERC-Projekt zur Analyse von Glossierungen und deren Bedeutung.
• Erstellung eines TEI/XML-Datenmodells für glossierte Manuskripte.

Kenntnisse

Digital Humanities

Data Analytics

Natural Language Processing

Network Analysis

XML/TEI

Python

Teamwork

Organizational Skills

Ausbildung

Doktorat/PhD in Digital Humanities oder Data Analytics

Tools

HTR-supported transcription tools

Jobbeschreibung

Your Responsibilities

• Participation in the European Research Council (ERC) Consolidator Grant project "Celtic and Latin glossing traditions: uncovering early medieval language contact and knowledge transfer (GlossIT)" (https://glossit.uni-graz.at/en/)
• Digital editions (https://gams.uni-graz.at)
• Establishing a TEI/XML data model for glossed manuscripts
• HTR-supported transcriptions
• Analysing the corpus of glosses (Natural Language Processing, Text Reuse, Network Analysis, etc.)
• Synthesising the project findings
• Publication activities and conference/workshop presentations in the specialised context of GlossIT

Your Profile

• Completed doctorate/PhD in the field of Digital Humanities or Data Analytics (or similar qualification)
• Excellent knowledge of written and spoken English
• Experience with digital editions, linguistic/philological projects, network analysis, and Natural Language Processing
• Required IT-knowledge: XML/TEI, Python, Natural Language Processing tools
• High level of commitment and motivation for scientific work, especially in the fields of Digital Humanities, (Historical) Linguistics, and Philology
• Independent working style and high level of initiative
• Strong teamwork and organizational skills

We Offer

• Meaning: We offer meaningful work for the world of tomorrow.
• Our internal continuing education program is as colorful as the university itself.
• Collaboration: With us, you'll find interdisciplinary, cross-professional opportunities to work together.
• Benefits: Of course, there are all the usual benefits, from A "access to healthcare services" to Z "Zero emission goal".
• Diversity: Besides our various scientific fields and their related issues, we offer a working environment in which diversity is lived.
• Flexibility: We demonstrate flexibility not only with the various working time models but also through the offers for the compatibility of family and career.

We offer an annual gross salary of at least € 69,060.59 for a fulltime position. An overpayment based on qualification and experience is possible.

Equality Principle

The University of Graz strives to increase the proportion of women in particular in management and faculty positions and therefore encourages qualified women to apply. In the event of underrepresentation, women with equal qualifications are generally given priority for admission. We welcome applications from persons with disabilities who meet the requirements of the advertised position.

Please note that in order to comply with the applicable data protection regulations, we can only accept applications via our web-based applicant tool for this vacant position.

Organisational Unit

Glosses are fingerprints of the society in which texts were composed, copied, and read. Most importantly, they play a much more significant role than previous research has acknowledged and offer insights about the multilingual and multi-ethnic environment of medieval manuscript and text production the principal texts cannot: they are first-hand testimonies of the close linguistic and cultural connections between Insular Celtic (Old Breton, Old Irish, Old Welsh) and Latin speakers. The ERC-CoG-Project GLOSSIT researches these contacts combining methods of comparative philology and historical linguistics, digital humanities (handwritten text recognition, network analysis, natural language processing), (cultural) history, and biological computation (applying DNA-sequence alignment methods to glosses).

About Us

At the University of Graz, 4700 employees work together on future questions and solutions for the world of tomorrow. Our students and researchers take on the major challenges of society and share their knowledge. We work for tomorrow. Be part of it!

Contact

Bernhard Bauer I [e-mail]