The Chair of Natural Language Generation and Dialogue Systems at the Otto-Friedrich-University Bamberg (BamDial research group) aims to fill, starting on the next possible date, one position as
Student Assistant (Studentische Hilfskraft) (m/f/d) (20 – 25 h / month)
The position is available for an initial term of 12 months.
The group’s research focusses on methods and technology to realise conversational agents and how to render the spoken or written interaction with such AI systems as natural as possible. Research on controllability and reliability of large language models is paired with research on reinforcement learning for natural dialogue interaction. The group is a member of the Bamberg Center for Artificial Intelligence (BaCAI).
Your role:
We are looking for a flexible and reliable student to support us with the general research and administrative tasks at the group. The required skills and experience will vary depending on the tasks assigned, which may include:
- Assist with the preparation of teaching materials
- Support ongoing research activities and projects
- Assist with administrative and organisational tasks
Your profile:
- Enrolled student in a computer science or related bachelor or master programme
- Good proficiency in Python programming language
- Basic knowledge in deep learning frameworks like pytorch, tensorflow, keras
- Knowledge in unix-based server administration and GPU servers
- Ability to work independently
- Good German and English skills are desired
General:
The Otto-Friedrich-University Bamberg aims to increase the ratio of women in research and teaching and therefore strongly encourages qualified women to apply. Applicants with disability (m/f/d) will be given preferential consideration where their suitability and qualifications are otherwise essentially equal. The University of Bamberg was certified as being a family friendly university by the Hertie foundation. The university focusses on the compatibility of family and career.
Application:
Please send your CV and transcripts as a single pdf file to applications.ds@uni-bamberg.de stating the earliest possible starting date.
Contact: Prof. Dr Stefan Ultes (stefan.ultes@uni-bamberg.de)
Um dich für diesen Job zu bewerben, besuche bitte www.uni-bamberg.de.