Iryna Gurevych

The Ubiquitous Knowledge Processing (UKP) Lab at the Technical University of Darmstadt, in collaboration with Goethe University Frankfurt, is offering fully funded PhD and Postdoc positions in the interdisciplinary HAICC project: Human-AI Collaboration for Cybersecurity. This initiative, funded by the National Research Center for Applied Cybersecurity ATHENE, aims to redefine how humans and AI agents cooperate to address complex cybersecurity challenges. The project focuses on agentic architectures, HCI-based interaction protocols, learning expert preferences from natural language feedback, multimodal adaptation, and AI agent integrity and accountability. Successful candidates will join a diverse team of leading researchers, including Prof. Iryna Gurevych (Natural Language Processing), Prof. Kristian Kersting (Machine Learning), Prof. Carsten Binnig (Multimodal AI), Subhabrata Dutta, PhD (NLP), Prof. Mira Mezini (Software Engineering), Prof. Florian Müller (Human-Computer Interaction), Prof. Christian Reuter (Cybersecurity), Prof. Haya Schulmann (Cybersecurity), Prof. Anna Rohrbach (Multimodal AI), Prof. Markus Rohrbach (Multimodal AI), Prof. Stefan Roth (Computer Vision), Prof. Michael Waidner (Cybersecurity), and Prof. Hinrich Schütze (NLP, LMU Munich). Each PhD student will be co-supervised by at least two faculty members, ensuring interdisciplinary guidance and support. Research areas include investigating real-world cybersecurity workflows using empirical HCI methods, developing collaborative AI agent capabilities (natural-language understanding, preference learning, domain-aware reasoning), multimodal adaptation (tabular data, images, code), formalizing explainability and trustworthiness in AI agents, and applying the HAICC framework to practical cybersecurity use cases. The project benefits from access to state-of-the-art infrastructure, including TU Darmstadt’s GPU clusters and a strong AI and cybersecurity ecosystem. Applicants for PhD positions must hold a Master’s degree in computer science, AI, cybersecurity, human–computer interaction, or related fields. Postdoc applicants require a PhD in these areas. Candidates should demonstrate expertise in large language models, NLP and AI agents, cybersecurity or security analytics, machine learning and preference learning, human–AI interaction or explainable AI, along with excellent programming, analytical, and communication skills. English proficiency is required; German is advantageous but not mandatory. Funding is fully provided, with remuneration according to the TV – TU Darmstadt collective agreement. Benefits include 30 days annual leave, educational leave, free public transport in Hesse, remote work options, preventive medical check-ups, subsidised sports programmes, flexible working models, pension scheme, university bicycle, and family-friendly services. The university encourages applications from female candidates and those with disabilities. To apply, visit the official portal at https://careers.ukp.informatik.tu-darmstadt.de/ , complete the online form, and select the 'ATHENE-HAICC' position. Submit a motivation letter, CV, degree documents, transcripts, project proposal, work area and supervisor preferences, and recommendation letters. The application deadline is December 14, 2025, but positions remain open until filled.

Postdoctoral Researcher opportunity at the Ubiquitous Knowledge Processing (UKP) Lab, Technical University of Darmstadt, within the ERC Advanced Grant InterText . The position is led by Prof. Iryna Gurevych and focuses on AI/ML with an emphasis on Natural Language Processing . The research agenda centers on multi-document reasoning , long-context modeling with LLMs , retrieval-augmented generation, evidence aggregation, cross-document inference, and faithful grounding. Strong application areas include AI for Science (scientific literature understanding, claim verification, hypothesis generation, researcher support) and misinformation detection (fact-checking, claim decomposition, source assessment, intertextual evidence retrieval). Human-centric and agentic approaches, including LLM agents, tool use, multi-agent collaboration, and interactive systems, are also welcome. Applicants should have a PhD completed or near completion in NLP, Machine Learning, Computer Science, or a related field, plus a strong publication record in top-tier ML/NLP venues, intellectual independence, and fluency in English. The role includes co-advising Master's and PhD students and contributing to NLP teaching. The deadline is 31 May 2026 . Applications must be submitted via the UKP recruitment form. The position is reviewed on a rolling basis and remains open until filled.

PhD/Postdoc opportunity in trustworthy NLP at the UKP Lab, Technische Universität Darmstadt , Germany, led by Prof. Iryna Gurevych . The position focuses on research at the intersection of computer science , natural language processing , and AI security , with applications in high-stakes domains such as misinformation detection, fact-checking, content and AI-text provenance, privacy-preserving clinical and mental-health NLP, and secure LLMs. Research topics mentioned include claim verification, misinformation and provenance, privacy-preserving NLP for sensitive health data, prompt-injection defenses, vulnerability analysis, and AI-text detection. The lab is also collaborating with ATHENE , described as Europe’s largest applied-cybersecurity centre. Eligibility: the post states that applicants should have a PhD or Master’s degree in NLP, machine learning, computer science, or a related field, plus interest in one of the listed directions, a strong publication record, solid engineering skills, and awareness of ethics and data protection. Funding/conditions: this is a full-time TV-TU E13 position, initially for 2 years with possible extension, starting as soon as possible. The post is an employment opening rather than a scholarship. Deadline: 24 July 2026 . Applications are reviewed on a rolling basis, so early submission is encouraged. How to apply: use the UKP application portal, quote the reference to this post, and upload a motivation letter, CV, transcripts/certificates, work experience documents, recommendation letters if available, and thesis/publications.

PhD opportunity in human-AI collaboration for psychiatry research at the Max Planck School of Biomedical Artificial Intelligence in Germany. The project is jointly supervised by Prof. Iryna Gurevych (UKP Lab, Technische Universität Darmstadt ) and Prof. Elisabeth Binder (Director, Max Planck Institute of Psychiatry , Munich). The research focuses on developing interpretable AI , machine learning , and human-AI co-construction methods to help psychiatry researchers explore and interpret rich multimodal psychiatric data , including cohorts such as the BeCOME study . Relevant study areas include computer science , NLP , machine learning , data science , and computational neuroscience , with a strong interdisciplinary link to psychiatry and biomedical AI . The post is aimed at candidates with a Master's degree in one of these areas or a closely related field, plus solid programming and ML skills and a strong interest in mental health research. Funding and conditions: the position is offered as an E13 contract for 36 months . The post is embedded in the Max Planck School network and provides access to clinical data and the MPS-BMAI / ELIZA / ELLIS networks. Application process: candidates are nominated by a supervisor pair to the Max Planck School, so interested applicants should contact the supervisors as early as possible. The post states that applications are reviewed on a rolling basis. Deadline: 24 July 2026 . Apply via the linked portal and quote the reference to this post. The UKP application page requests a motivation letter, CV, certificates/transcripts, and any publications or recommendation letters if available.

Technische Universität Darmstadt’s UKP Lab is hiring a Postdoctoral or Doctoral (PhD) Researcher in trustworthy NLP for high-stakes domains . The position is led by Prof. Iryna Gurevych and is connected to work with the ATHENE Center in applied cybersecurity. The research themes include fact-checking , misinformation detection , content and AI-text provenance , AI-text forensics , privacy-preserving NLP for clinical and mental-health data, and secure LLMs such as prompt-injection defenses, vulnerability analysis, and AI-text detection. This is a strong fit for candidates interested in computer science , information technology , and related interdisciplinary applications involving health, security, and ethics. Eligibility highlights: applicants should hold a PhD or Master’s degree in NLP, machine learning, computer science, or a related field. The post asks for a strong publication record, solid engineering skills, domain interest in one of the listed topics, and awareness of ethics and data protection. Funding and conditions: the role is full-time under TV-TU E13 , initially for 2 years with possible extension, and starts as soon as possible . No stipend amount is given because this is a salaried research position rather than a scholarship. Deadline: 24 July 2026. Applications are reviewed on a rolling basis, so early submission is encouraged. How to apply: use the UKP application portal, select the relevant position (PhD or PostDoc), and upload the required documents. Include a motivation letter, CV, certificates/transcripts, work experience evidence, and any thesis/publications. Quote the reference to the post in your application.

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.

PhD opportunity in Human-AI Collaboration for Psychiatry Research at the UKP Lab, Technical University of Darmstadt . This opening sits at the intersection of Computer Science , Artificial Intelligence , Natural Language Processing , and psychiatry/mental health research . The post is shared by Professor Iryna Gurevych , who is affiliated with TU Darmstadt and other institutions. The message invites interested candidates to get in touch directly. What is offered: a PhD position focused on human-AI collaboration in a psychiatry research context. No funding details, deadline, or formal portal are mentioned in the post. Who should consider applying: candidates with strong interest in AI, NLP, computational linguistics, and mental health-related research. The post does not list specific degree prerequisites, grades, language requirements, or other formal criteria. How to apply: message Professor Iryna Gurevych directly if you are interested in joining the team. The post also mentions that the group will attend the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), suggesting a possible networking opportunity.

Postdoctoral Researchers in NLP & AI (m/f/d) are being recruited at the UKP Lab, Technical University of Darmstadt, Germany. The lab is led by Prof. Dr. Iryna Gurevych and is part of a strong research ecosystem including ELLIS, Konrad Zuse School ELIZA, hessian.AI, and ATHENE. This opening is aimed at outstanding researchers in Natural Language Processing , Artificial Intelligence , Machine Learning , and related areas who want to shape trustworthy and applied AI. Priority directions include trustworthy and agentic AI, evaluation science and verification-first AI, interpretability and robustness, human–AI collaboration, AI for science and scholarly NLP, misinformation and provenance, privacy-preserving and health NLP, legal and argumentative NLP, and foundational work on reasoning, planning, efficient models, and multilingual/multimodal systems. The post is especially relevant for candidates interested in research on agent reliability, tool use, long-horizon planning, evaluation and verification, human-centered NLP, AI-assisted science, fact-checking, AI-text forensics, privacy-preserving adaptation, and high-stakes domain applications. The lab emphasizes open-source tools and internationally visible research, including systems such as Sentence Transformers and AdapterHub. Eligibility highlights include a completed or near-completed PhD or Master degree in Computer Science, NLP, Machine Learning, HCI, or a related field; a strong publication record at top venues such as ACL, NeurIPS, ICML, ICLR, EMNLP, NAACL, or CHI; strong programming skills; and the ability to work independently while collaborating across disciplines. Excellent English is required. Experience mentoring students, contributing to open source, or securing third-party funding is desirable. Funding and conditions: the position is full-time with TV-TU E13 remuneration , initially for 2 years with an optional extension. The role is based in Darmstadt and offers strong infrastructure, compute support, engineering support, and mentorship toward research independence. How to apply: submit a single PDF with a cover letter describing your research interests and fit, a full CV with publication list, a 1–2 page research statement, and the names/contact details of two referees. Applications should be submitted through the UKP careers portal. Review is continuous, so early application is encouraged.

PhD position in human-AI collaboration for psychiatry research at Technische Universität Darmstadt (UKP Lab) in collaboration with the Max Planck Institute of Psychiatry, Munich , within the Max Planck School of Biomedical AI . The project focuses on developing interpretable, verification-first, human-AI co-construction methods for exploring and interpreting rich multimodal psychiatric data . The work is aimed at helping psychiatry researchers analyze existing cohorts such as the BeCOME study and other clinical datasets. Supervision is jointly provided by Prof. Dr. Iryna Gurevych (UKP Lab, TU Darmstadt) and Prof. Dr. Dr. Elisabeth Binder (Director, Max Planck Institute of Psychiatry). The post is embedded in a strong interdisciplinary environment with access to the MPS-BMAI / ELIZA / ELLIS networks. Eligibility: a Master's degree in Computer Science, NLP, Machine Learning, Data Science, Computational Neuroscience , or a related field; solid programming and ML skills; interest in mental health and interdisciplinary research; willingness to work in a team inside and outside the lab. Funding: E13 contract for 36 months. The post is described as a funded PhD position; no tuition fee information is provided. Application: candidates are nominated by a supervisor pair to the Max Planck School, so interested applicants should contact the supervisors as early as possible. The application portal requests a motivation letter, CV, transcripts/certificates, work experience, recommendation letters, and other supporting documents. Incomplete applications are discarded. Deadline: 24 July 2026. Applications are reviewed on a rolling basis, so early submission is encouraged.