Informationen zur Anzeige:
Wissenschaftlicher Mitarbeiter/Wissenschaftliche Mitarbeiterin am Lehrstuhl für Multilinguale Computerlinguistik - englische Fassung
Passau
Aktualität: 19.12.2024
Anzeigeninhalt:
19.12.2024, Universität Passau
Passau
As part of the research project “The Evolution of Visual Information Encoding (EVINE)” (https://www.erc-evine.de), funded by the European Research Council in the form of a Starting Grant and led by Dr Christian Bentz, we are seeking a
For specific questions on the position, please send an e-mail to the same address, writing “Question on the EVINE Doctoral Position” in the subject line. E-mailed applications are kept on file for up to six months after the conclusion of the appointment procedure, whereupon they are deleted from our systems. Please visit www.uni-passau.de/en/university/current-vacancies for our data privacy statement.
Graduate Research Assistant (Doctoral Candidate)
to be employed (pro rata at 65%) from 1 April 2025 on a three-year fixed-term contract at the Chair of Multilingual Computational Linguistics led by Professor Johann-Mattis List. Remuneration is in accordance with pay grade E13 of the German public-sector collective agreement, TV-L. To be considered for this position, applicants must have a university master’s degree in general linguistics, comparative linguistics, computational linguistics or cognitive science. The doctoral candidate will be given the opportunity to write a doctoral thesis while employed by the chairDuties and Responsibilities
- Contribute to the building of a database on intentional and non-utilitarian paleolithic signs (https://www.signbase.org) from the Lower Paleolithic of c. 400 kya to the late Upper Paleolithic c. 15 kya.
- Carry out computational, statistical and experimental analyses comparing sign sequences of the paleolithic with ancient and modern-day writing systems.
- Conceptualise and conduct your own research projects within the context of the EVINE project and/or the Chair of Multilingual Computational Linguistics.
Person Specification
- Must have a university master’s degree in general linguistics, comparative linguistics, computational linguistics or cognitive science.
- Knowledge of programming with R or Python.
- Knowledge of statistical programming and/or machine learning would be advantageous.
- You have demonstrated the drive to push your own research projects as a bachelor’s and master’s student.
- You are a resilient and reliable team-player.
- Excellent spoken and written English language skills.
- German language skills would be an advantage.
Über uns
The University of Passau owes its strong visibility and good repute to excellent research, innovative teaching and its tight-knit international academic networks. Some 11,000 students and more than 1,300 staff study and work on our university campus, which is located a stone’s throw from the historical Old Town of Passau and combines state-of-the-art technical infrastructure with award-winning architecture. Internationally successful high-tech companies and a vibrant start-up scene, coupled with a rich culture and Lower Bavarian traditions, give Passau and the surrounding area a special appeal that makes it a great place to live and work.So bewerben Sie sich
The application deadline is 17 January 2025. To apply, please send your full application (including a motivation letter of up to two pages relating to the job profile, curriculum vitae, certifications and optionally two published articles or research papers), attached as a single PDF file, by e-mail to Dr Christian Bentz at evine@uni-passau.de. Please write “Application for the EVINE Doctoral Position” in the subject line of the e-mail.For specific questions on the position, please send an e-mail to the same address, writing “Question on the EVINE Doctoral Position” in the subject line. E-mailed applications are kept on file for up to six months after the conclusion of the appointment procedure, whereupon they are deleted from our systems. Please visit www.uni-passau.de/en/university/current-vacancies for our data privacy statement.
Berufsfeld
Öffentlicher Dienst, Verwaltung
Forschung, Lehre
Consulting, Training, Ausbildung
Bildung, Schulung, Training
Informationstechnologie, TK
IT/TK Softwareentwicklung
Bundesland
Standorte
