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Thomas Troels Hildebrandt

Professor

University of Copenhagen

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Denmark

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Research Interests

Mathematical Logic

10%

Law

20%

Large Language Models

20%

Computer Science

20%

Information Technology

20%

Linguistics

20%

Natural Language Processing

20%

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Positions2

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source

Daniel Hershcovich

University Name
.

University of Copenhagen

Postdoc in Natural Language Processing and Conversational AI for Computational Law at University of Copenhagen

Postdoc in Natural Language Processing and Conversational AI for Computational Law at the Department of Computer Science, University of Copenhagen . This 12-month postdoctoral position is part of XHAILe: Explainable Hybrid AI for Computational Law and Accurate Legal Chatbots , an interdisciplinary project focused on trustworthy AI for legal and administrative processes. The work sits at the intersection of natural language processing , conversational AI , large language models , dialogue systems , semantic parsing , information extraction , and computational law . The postdoc will develop methods for integrating LLMs with symbolic rule-based systems, build conversational interfaces for legal and administrative workflows, support structured fact elicitation from user input, and create faithful explanations grounded in executable symbolic models, including DCR graphs. The role also includes prototype development and evaluation on real-world public-sector use cases, with collaboration across computer science, law, language technology, and industry/government partners. Eligibility: a PhD in computer science, computational linguistics, AI, or a related field is required. Strong experience in NLP and/or machine learning is expected, along with programming skills, excellent English, and the ability to work in an interdisciplinary team. Experience with LLMs, tool-augmented AI, structured prediction, semantic parsing, information extraction, evaluation, human-centered AI, symbolic AI, or legal/high-stakes applications is an advantage. Funding and duration: the position is funded by Innovation Fund Denmark through the XHAILe project and runs for 12 months on a full-time basis. No stipend amount is stated in the post. Deadline: 2 August 2026, 23:59 GMT+2. Start date: 1 October 2026 or soon thereafter. How to apply: submit the application electronically via the official University of Copenhagen job ad. Include a motivated letter, CV, diplomas and transcripts, publication list, and reference letters if available.

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source

Thomas Hildebrandt

University Name
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University of Copenhagen

Postdoc and Assistant Professor Openings in Logic, Symbolic AI, NLP, and Conversational AI for Computational Law at University of Copenhagen

University of Copenhagen (Department of Computer Science, DIKU) is advertising several openings linked to the XHAILe project, an interdisciplinary research effort on computational law , logic , symbolic AI , natural language processing , and conversational AI . The project title is Explainable Hybrid AI for Computational Law and Accurate Legal Chatbots (XHAILe) . It brings together researchers from computer science, law, and language technology, with collaboration from DTU Compute, the Faculty of Law, the Department of Nordic Studies and Linguistics, and industrial/governmental partners including DCR Solutions, KL (Local Government Denmark), and TietoEvry. The project is funded by Innovation Fund Denmark and focuses on explainable hybrid AI systems for legal and administrative processes. Openings mentioned in the post include a postdoc in logic and symbolic AI for computational law and declarative business process management, a postdoc in NLP and conversational AI for computational law, and an assistant professor position in logic and symbolic AI for computational law and declarative business process management. The positions are based at the Department of Computer Science, University of Copenhagen, in research environments connected to Software, Data, People & Society and the NLP section. Research topics include executable symbolic models, DCR Graphs, legal reasoning, structured fact elicitation, dialogue systems, large language models, rule-based systems, and trustworthy AI for public-sector use cases. The project aims to build accurate and explainable tools for e-government and legal chatbots, with real-world evaluation in collaboration with public institutions. Eligibility highlights: applicants should hold a PhD in a relevant field. For the symbolic AI role, experience in logic, symbolic AI, declarative process modelling, or computational law is expected. For the NLP role, experience in NLP, machine learning, LLMs, dialogue systems, or related AI methods is required. Strong English skills and the ability to work across disciplines are important; Danish is not required. Deadline: 2 August 2026 at 23:59 GMT+2. Start date: 1 October 2026 or as soon as possible thereafter. Applications must be submitted through the University of Copenhagen recruitment portal with the required documents.

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