Postdoctoral Researcher in Trustworthy Large Language Models (m/w/d)

University of Düsseldorf; Düsseldorf; On-site; EUR 65,000 - 75,000; Full time

Benefits offered by this job

Company pension

Grant

International work bonus payments

Union rates

Capital-forming benefits

Good transport connection

Free parking

Job summary

Heinrich Heine University Düsseldorf invites a Postdoctoral Researcher to join the Dialog Systems and Machine Learning Group. The role centers on advancing NLP and ML for trustworthy human–computer interaction with LLMs, under Prof. Milica Gašić's Lamarr Fellow project.

The candidate should have a PhD or near completion in a relevant field, strong research publication history, and excellent English communication skills. German knowledge is not required.

Qualifications

• PhD near completion or awarded in a relevant field.
• Strong background in NLP and/or ML with excellent programming skills.
• Curious researcher able to explore fundamental questions independently.

Responsibilities

• Contribute to the Lamarr Fellow project on trustworthy integration of LLMs into HCI.
• Engage in research and publication work in top-tier conferences.
• Collaborate with a team to advance interactive systems and AI safety.

Skills

NLP

Machine Learning

Programming

Education

PhD in CS/Math/Engineering/Computational Linguistics or related

Job description

The Department of Computer Science (Dialog Systems and Machine Learning) at Heinrich Heine University Düsseldorf is seeking a Postdoctoral Researcher. 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.

Main tasks

The Lamarr Fellow project of Prof. Milica Gašić, “Trustworthy Integration of Large Language Models in Human-Computer Interactive Systems”, explores how we can harness the capabilities of large language models while ensuring that their use remains reliable and safe. At its core is a fundamental question: How and when can we safely integrate an LLM into a human-computer interactive system?

The Project Investigates

• when LLMs should be used
• when their outputs should be validated
• how uncertainty can be estimated and used to inform system decisions

An emerging direction of the project is to explore Theory of Mind and human-inspired approaches to reasoning about the beliefs, intentions, and perspectives of users and other agents, with the aim of developing more reliable and adaptive interactive systems.

Your profile

• The candidate should hold, or be close to completing, a PhD in Computer Science, Mathematics, Engineering, Computational Linguistics, or a related field.
• A strong background in Natural Language Processing and/or Machine Learning, together with excellent programming skills, is essential.
• We are looking for a curious and motivated researcher who is eager to explore fundamental questions around the trustworthy use of LLMs and to develop new ideas independently.
• Experience with research and publications in top-tier conferences is desirable.
• The candidate should be fluent in English and have excellent written and communication skills.
• Knowledge of German is not required.

Our offer

The position is funded through Prof. Milica Gašić’s Lamarr Fellow project, “Trustworthy Integration of Large Language Models in Human-Computer Interactive Systems.” It is a full-time position with a competitive salary (EG 13 TV-L), offering the opportunity to contribute to cutting‑edge research on trustworthy AI and human‑computer interaction. The position is initially fixed‑term until 31 March 2028, with the possibility of extension subject to satisfactory performance. It is a qualification position under the Act on Temporary Scientific Contracts (Wissenschaftszeitvertragsgesetz, WissZeitVG), intended to support the employee’s further scientific qualification. The start date is negotiable, with 1 January 2027 or earlier preferred.

Our Benefits

• company pension
• grant
• international work bonus payments
• union rates
• payment of capital‑forming benefits
• good transport connection
• free parking

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.