Scientific Project Staff with PhD: Join the University of Graz’s European Research Council-Consolidator Grant project “Celtic and Latin glossing traditions: uncovering early medieval language contact and knowledge transfer (GlossIT)” as Scientific Project Staff. This role involves training and setting up Handwritten Text Recognition for early medieval glossed manuscripts, creating digital editions of glossed Beda and Priscian manuscripts, analyzing and synthesizing gloss corpora, and engaging in publication activities and presentations. Candidates with a completed PhD in Digital Humanities or a related field, proficiency in English, and experience in Handwritten Text Recognition, network analysis, and digital editions creation are encouraged to apply.
Summary Table:
- Designation: Scientific Project Staff
- Research Area: Digital Humanities
- Location: University of Graz
- Eligibility/Qualification: Completed PhD in Digital Humanities or similar qualification
- Employment Start: As soon as possible
- Duration of Contract: 4 Years (Temporary employment)
- Hours per week: 30 h/w
- Salary Category: B1 with PhD
- Salary per Year (Full Time): € 66,532.20
Job Description: As Scientific Project Staff, your responsibilities include participating in the ERC-Consolidator Grant project “Celtic and Latin glossing traditions: uncovering early medieval language contact and knowledge transfer (GlossIT)” at the University of Graz. This involves training and setting up Handwritten Text Recognition for early medieval glossed manuscripts, creating digital editions of glossed Beda and Priscian manuscripts, analyzing and synthesizing gloss corpora using network analysis and Natural Language Processing, and engaging in publication activities and presentations within the specialized context of GlossIT.
Your Profile:
- Completed doctorate/PhD in Digital Humanities or similar qualification
- Excellent written and spoken English skills
- Experience with Handwritten Text Recognition, network analysis, and creation of digital editions and philological projects
- Proficiency in XML/TEI, Python, HTR, and Natural Language Processing tools
- High level of commitment, motivation, and ability to conduct independent research
- Strong teamwork and organizational skills
How to Apply: To apply, please send your CV, cover letter, and any relevant documents to Bernhard Bauer at bernhard.bauer@uni-graz.at.
Last Date for Apply: 12.06.2024
About Us: At the University of Graz, we are a team of 4700 employees working together on future solutions for tomorrow’s world. Join us in facing society’s challenges and advancing knowledge. We offer a vibrant interdisciplinary environment where diversity is celebrated, and flexibility is key to work-life balance.
Contact: For further inquiries, please contact Bernhard Bauer at bernhard.bauer@uni-graz.at. Apply now and become part of our meaningful and collaborative community!
