Iryna Gurevych
2 months ago
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Postdoctoral or PhD Researcher in Verification-First AI and Evaluation of Agentic Systems at TU Darmstadt Technische Universität Darmstadt in Germany
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
Full-time position under TV-TU E13, initially for 2 years with possible extension. The post is salaried; no stipend amount is stated.
Deadline
Jul 24, 2026
Country
Germany
University
Technische Universität Darmstadt

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About this position
UKP Lab at Technische Universität Darmstadt is hiring a Postdoctoral or Doctoral (PhD) Researcher in verification-first AI and evaluation of agentic systems. The role is led by Prof. Iryna Gurevych, a leading researcher in NLP and AI.
The research focus is on making AI agents and large language models more trustworthy through rigorous evaluation and safety methods. Topics include reference-free evaluation, expert-preference-based evaluation, trajectory-level reliability, failure detection for tool-using agents, calibration, and meta-evaluation of LLM-as-judge methods.
This opportunity is especially relevant for candidates interested in natural language processing, machine learning, computer science, large language models, agentic systems, and AI safety. The post is full-time under TV-TU E13, initially for 2 years with extension possible, and starts as soon as possible.
Eligibility highlights: applicants should have a PhD or Master's degree in NLP / ML / CS, experience with LLM evaluation, agents, or RL/optimisation, a strong publication record (e.g. ACL, NeurIPS, ICML, ICLR, EMNLP), and solid engineering skills.
Deadline: 24 July 2026. Applications are reviewed on a rolling basis, so early submission is recommended.
How to apply: submit your application via the UKP portal, quote the reference to this post, and include a motivation letter, CV, transcripts/certificates, and relevant publications or recommendation letters.
Funding details
Full-time position under TV-TU E13, initially for 2 years with possible extension. The post is salaried; no stipend amount is stated.
What's required
Applicants should have a PhD or Master's degree in NLP, machine learning, or computer science. Experience with LLM evaluation, agents, or reinforcement learning/optimisation is required, along with a strong publication record in venues such as ACL, NeurIPS, ICML, ICLR, or EMNLP. Solid engineering skills are also expected.
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