Erstellt am 24. Juni 2026
PhD opening at Intelligent Language Systems E13 (100%)
Zentrale Universitätsverwaltung
Erlangen 91058, Germany
Vollzeit
Reference: 447942786
Intelligentesprachsysteme / Intelligent Language Systems / Informatics
Benefits: We Have a Lot To Offer
Your Tasks
The key research areas include reasoning, interpretability, neuro-symbolic methods, and memory. The position offers a degree of research freedom, however the overall goal is to advance LLM/VLMs for the long-tail of the distribution, i.e., unseen tasks, domains or languages by developing novel ML/NLP/RL methods. Your job is to conduct excellent research, publish at top-tier conferences. You are expected to contribute to the lab's teaching curriculum, student supervision and perform other organizational duties when necessary. Traveling and presenting at conferences for dissemination is expected.
Your Profile
Additional Information
About the Lab
The lab is led by Gözde Gül Sahin. We regularly publish at top-tier *CL venues. Our lab has been partially funded by Wikimedia Research Fund, Google (Gemini) Academic Program and Scientific and Technological Research Council of Türkiye via International Fellowship for Outstanding Researchers program. Website: https://gglab-ku.github.io/
Application
Please include the following in your application and feel free to send a copy of your application to goezde.sahin [at] fau.de
Benefits: We Have a Lot To Offer
- Regular promotion to the next level and increase in salary pursuant to the collective bargaining agreement for the public service of the German Länder (TV-L) or remuneration pursuant to the Bavarian Public Servants Remuneration Act (BayBesG) plus an additional annual bonus
- 30 days annual leave at five working days per week with additional free days on December 24 and 31
- Occupational pension scheme and asset accumulation savings scheme
- Excellent support during the academic qualification phase
- Structured doctoral degree programs
- Systematic career development in collaboration with the Graduate Center
- Thorough onboarding process with a dedicated team
- Joint team activities
- Subsidized food and drinks in our student restaurants
- Place of work within comfortable walking distance of public transport
- Family-friendly environment with childcare options, also during school holidays
- Flexible working hours
- A wide range of training courses and opportunities for professional development
- Active health management
- FAU offers broad opportunities for interdisciplinary collaboration across Informatik and beyond. There is strong potential for joint research with other computer science chairs, for example in areas intersecting with speech processing, as well as, security, and reliable systems. Natural connections also exist with the Humanities, particularly linguistics and digitally supported humanities research, as well as with application-oriented fields such as medicine. The chair is embedded in the vibrant Erlangen-Nuremberg research ecosystem, with close proximity to major industrial and applied research actors such as Siemens, adidas, and Fraunhofer IIS, providing an excellent environment for collaborative, impact-oriented PhD and postdoctoral research.
- Computational Resources: FAU Erlangen-Nürnberg HPC Center offers access to powerful, well-maintained GPU clusters ( https://doc.nhr.fau.de/clusters/overview/ ).
Your Tasks
The key research areas include reasoning, interpretability, neuro-symbolic methods, and memory. The position offers a degree of research freedom, however the overall goal is to advance LLM/VLMs for the long-tail of the distribution, i.e., unseen tasks, domains or languages by developing novel ML/NLP/RL methods. Your job is to conduct excellent research, publish at top-tier conferences. You are expected to contribute to the lab's teaching curriculum, student supervision and perform other organizational duties when necessary. Traveling and presenting at conferences for dissemination is expected.
Your Profile
- Master of Science in computer science, computational linguistics or a related field before the PhD starting date
- Bachelor in Computer Science or a related field
- Strong background in Natural Language Processing and Machine Learning
- Excellent programming skills
- Proficiency in English
- Ability to work independently and as part of an interdisciplinary team
- Positive attitude, enjoyment of research, and finding new solutions
Additional Information
About the Lab
The lab is led by Gözde Gül Sahin. We regularly publish at top-tier *CL venues. Our lab has been partially funded by Wikimedia Research Fund, Google (Gemini) Academic Program and Scientific and Technological Research Council of Türkiye via International Fellowship for Outstanding Researchers program. Website: https://gglab-ku.github.io/
Application
Please include the following in your application and feel free to send a copy of your application to goezde.sahin [at] fau.de
- Cover letter, including your motivation for application (max. one page)
- A research statement outlining your research interests within the scope of the advertised position. It should propose a concrete research agenda you plan to develop during your PhD (up to two pages including references).
- Curriculum vitae (including your publication list (if available))
- Bachelors and Masters diplomas
- Transcripts
- Name and contact details of 2 referees
