Stellendetails zu: Wissenschaftlicher Mitarbeiter/Wissenschaftliche Mitarbeiterin (m/w/d)
Wissenschaftlicher Mitarbeiter/Wissenschaftliche Mitarbeiterin (m/w/d)
Kopfbereich
Besondere Merkmale
Arbeitsort
SaarbrückenAnstellungsart
Vollzeit, Teilzeit (Vormittag, Nachmittag, Abend)Befristung
befristet für 48 MonateBeginn
ab sofortBerufsbezeichnung
- Wissenschaftliche/r Mitarbeiter/in
- Computerlinguist/in
- Informatiker/in
Stellenbeschreibung
Saarland University is a campus university with an international reputation for research excellence, particularly in computer science and in the life sciences and nanosciences. The university is also distinguished by its close ties to France and its strong European focus. Around 17,000 students, studying over one hundred different academic disciplines, 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 of Computer Science at Saarland University is inviting applications for one PhD positions commencing at the earliest possible date.
Academic research assistant (m/f/x)
Reference number W2867, salary in accordance with the German TV-L salary scale1, pay grade: E13; duration: until September 2029; further extension is possible up to a total duration of 4 years; volume of employment: between 75% and 100% of standard working time.
Workplace/Department:
The Chair of Language, Computation, and Cognition (LaCoCo Lab), led by Prof. Michael Hahn, invites excellentstudents holding a Master’s degree for a PhD student position.The PhD position is part of Saarland university research groups of the Konrad Zuse School of Excellence in Learning and Intelligent Systems (ELIZA)2 and will be located in Saarbrücken.
ELIZA is a graduate school in Artificial Intelligence funded by the German Academic Exchange Service (DAAD).
Research and academic training within ELIZA focus on four key areas: (1) the foundations of Machine Learning (ML)— including ML-driven fields such as Computer Vision, Natural Language Processing (NLP), or Robot Learning —, (2)machine learning systems, (3) applications in autonomous systems, and (4) transdisciplinary applications of ML in other scientific domains, ranging from the life sciences to physics.
Saarland University is one of the leading centers for computational linguistics and computer science in Europe and offers a dynamic and stimulating research environment. It is famous for its interdisciplinary research in language,translation, computation and cognition. The group is affiliated with both the Department of Computer Science and with the Department of Language Science and Technology.
The Department of Language Science and Technology organizes about 100 research staff in ten research groups inthe fields of computational linguistics, psycholinguistics, speech processing, and both departments are part of the Saarland Informatics Campus, which brings together 800 researchers and 2000 students from 81 countries. We collaborate closely with the university's Department of Computer Science, the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, and the German Research Center for Artificial Intelligence (DFKI).
Our researchers and students come from all over the world, and our primary working language is English.
Possible topics include, but are not limited to:
abilities & limitations of transformers and other LLM architectures,
LLM interpretability,
foundations of LLM reasoning,
foundations of AI safety.
Job requirements and responsibilities:
The position is intended to begin at the earliest possible date (start-date is negotiable in both directions, i.e., earlier start as soon as August 2026 or a later start are possible).
Prior experience with research in Machine Learning or a related field
Outstanding programming skills and algorithmic understanding
Strong grades from a top degree program in a relevant field (e.g., Computer Science)
Strong spoken and written communication skills in English
Strong understanding of machine learning and language models
Strong motivation for scientific research
Strong interest in the research topics studied by the group
Please also see the ELIZA PhD Program Requirements and Arrangements for ELIZA-funded PhD students here:
https://eliza.school/opportunities/eliza-phd-program-fully-funded-positions/
Your academic qualifications:
Completed university studies in : A master's degree in computer science, computational linguistics, or a related discipline.
The successful candidate will also be expected to:
Applicants are requested to submit their application, including a cover letter that specifies what qualifies you for the position, an academic CV, a list of academic publications, your MSc thesis (or a current draft, or a comparablepiece of scientific writing), copies of academic degree certificates and names of two potential references. Pleasealso include a statement (up to 2 pages) in your application which outlines your motivation for applying to this position (please specifically refer to one or more recent publications from our group).
What we can offer you:
A flexible work schedule allowing you to balance work and family
A broad range of further education and professional development programmes
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 (‘Jobticket‘ of the SaarVV)
Job bike leasing (JobRad)
We look forward to receiving your meaningful online application. Please quote reference number W2867 when
applying. Applications must be received by no later than 18. June 2026 and should be sent via email to Prof.
Michael Hahn at: mhahn@lst.uni-saarland.de
Prof. Michael Hahn
Saarland University
Chair of Language, Computation, and Cognition
Campus C7 4, room 3.19
66123 Saarbrücken
If you have any questions, please contact us for assistance. Your contact: Prof. Michael Hahn (mhahn@lst.unisaarland.de).
Arbeitsorte
Unternehmensdarstellung: Universität des Saarlandes Dezernat Personal
Universität des Saarlandes Dezernat Personal
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