Stellendetails zu: Academic research assistant (m/f/x)
Academic research assistant (m/f/x)
Kopfbereich
Besondere Merkmale
Arbeitsort
SaarbrückenAnstellungsart
VollzeitBefristung
befristet für 24 MonateBeginn
ab sofortBerufsbezeichnung
- Wissenschaftliche/r Mitarbeiter/in
- Informatiker/in
- Computerlinguist/in
Stellenbeschreibung
Saarland University is a campus university with an international reputation for research excellence, particularly incomputer science and in the life sciences and nanosciences. The university is also distinguished by its close ties toFrance and its strong European focus. Around 17,000 students, studying over one hundred different academicdisciplines, are currently enrolled at Saarland University. Saarland University is officially recognized as one of Germany’s family-friendly higher-education institutions and with a combined workforce of more than 4000 it is one of the largest employers in the region.
The department for Spoken Language Systems is inviting applications for the following position commencing at the earliest opportunity:
Academic research assistant (m/f/x)
Reference number W2880, salary in accordance with the German TV-L salary scale1, pay grade: E13 TV- L, duration of employment: Two years with a possible extention, volume of employment: 100 % of standard.
Workplace/Department:
Spoken Language Systems
Job requirements and responsibilities:
In recent years a new field has emerged: AI for Science. Our group has a long and strong tradition in language modelling (several best paper awards at major NLP conferences) and is building on top of this. Our research is done in very close collaboration with the Helmholtz Institute for Pharmaceutical Research as well as the University Hospital, giving us access to exciting unique data.
Your academic qualifications:
- Doctoral degree / PhD in Computer Science, Computational Linguistics, Bioinformatics, Physics, Mathematics or similar
- Language skills (according to GER): Excellent English on C1 level
The successful candidate will also be expected to:
- Have excellent knowledge of machine learning
- deep learning, excellent programming skills
- have successfully worked both independently and as part of a small team
- Language skills (according to GER): English on C1 level 1
What we can offer you:
- A flexible work schedule allowing you to balance work and family, among other things the possibility of teleworking
- Secure and future-oriented employment with attractive conditions
- A broad range of further education and professional development programmes (for example language courses)
- An occupational health management model with numerous attractive options, such as our university sports programme
- Supplementary pension scheme (RZVK)
- Discounted tickets on local public transport services (‘Job-Ticket‘ of the saarVV)
- Job bike leasing (JobRad)
We look forward to receiving your meaningful online application (in a PDF file) by 10.07.2026 to dietrich.klakow@uni-saarland.de. Please include the reference number W2880 in the subject line of the e-mail.
If you have any questions, please contact us for assistance. Your contact:
Herr Prof. Dr. Dietrich Klakow
dietrich.klakow@lsv.uni-saarland.de
Tel.: 0049 681 58122
Arbeitsorte
Unternehmensdarstellung: Universität des Saarlandes Dezernat Personal
Universität des Saarlandes Dezernat Personal
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