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Main tasks

The goal of Prof. Milica Gasic' DFG project “Curriculum learning in natural language generation” is to better understand the origins of hallucinations and eventually
reduce their magnitude and severity in the output of NLG models and in particular examine relations to theory of mind and uncertainty modelling. The teaching
duties are within the courses relevant to machine learning and natural language processing.

Your Profile

The candidate must hold or be close to obtaining a master’s degree in Computer Science, Mathematics, Engineering, Computational Linguistics or a related field.
Some exposure to Natural Language Processing or Machine Learning is desirable. Excellent programming skills are essential. The candidate should be fluent in
English with good writing skills. Knowledge of German is not required.

Our Offer

The position is partly funded by Prof. Milica Gasic' DFG project “Curriculum learning in natural language generation” and comes with a competitive salary (EG 13
TV-L), is full-time and carries a modest teaching duty (2 SWS).
The position is initially a one-year fixed-term contract, with the option of extension based on satisfactory performance. It is a qualification position in the sense of
the Act of Academic Fixed-Term Contract (Wissenschaftsvertragsgesetz-WissZeitVG), which is to promote the scientific qualification of the employee. The start
date is negotiable, but the preferred start would be on 1st October 2026.

Our Benefits

Company pension grant; Good transport connection; Free parking; Working from home; International work; Bonus payments; Union rates; Payment of capitalforming
benefits

About Us

The Dialog System and Machine Learning Group conducts fundamental research in natural language processing and related areas of machine learning, with a
view towards the development of the next generation of intelligent conversational agents.

Heinrich Heine University upholds the principle of "Excellence through Diversity". It has signed the "Diversity Charter" and successfully participated in the
Stifterverband's audit "Shaping Diversity". It is certified as a family-friendly university and has set itself the goal of promoting diversity among its staff. Applications
from people of all genders are expressly welcome. Applications from women will be given preferential consideration in accordance with the State Equal
Opportunities Act. The application of severely disabled persons and persons with equivalent disabilities is also welcome. In order for a severe disability or equality
to be taken into account, please provide evidence of this with suitable documents.