Postdoc Explainable Human Behavior and Affective Predictions

Delft University of Technology (TU Delft); Delft; On-site; EUR 45,000 - 63,000; Full time

Job summary

TU Delft invites applications for a Postdoctoral Researcher to advance explainable AI for human-AI interaction. The project explores multimodal models, interactive explanations and grounding in dialogue, with applications in education and healthcare.

The role is embedded in the Interactive Intelligence Group within the Department of Intelligent Systems (EEMCS). The environment emphasises collaboration, mentorship, and a Dutch-university setting with opportunities for further training.

Qualifications

• PhD or expected PhD in a relevant field.
• Strong track record in AI, ML, HCI or related areas.
• Interest in interdisciplinary AI research at human behaviour and interactive systems.

Responsibilities

• Investigate how multimodal AI can understand, explain and communicate predictions about human behaviour.
• Develop interactive explainable AI systems for real-time dialogue and user questioning.

Skills

Generative AI

Affective computing

Human-computer interaction

Interdisciplinary research

Education

PhD degree

Tools

VLMs

MLLMs

Job description

Help develop explainable AI to support human-AI interactions. As a Postdoctoral Researcher at TU Delft, you will investigate how multimodal AI can understand, explain and communicate predictions about human behaviour, contributing to trustworthy intelligent systems for high-impact applications.

Job description

Human behavior understanding is becoming an essential component across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models that are not only accurate but also transparent and explainable. This project focuses on the automatic perception of situational interest and state epistemic curiosity, which are motivational factors that influence human interaction and learning. While multimodal systems are already being developed to monitor physical and cognitive engagement, current approaches offer limited interpretability and often do not provide meaningful explanations of their predictions to downstream users.

A central aim of this project is to investigate how Vision-Language Models (VLMs), Multimodal Large Language Models (MLLMs), and related technologies can support explanation in situated conversational settings. We view explanation not as a static output, but as an interactive process that evolves through human-human and human-AI dialogue, where meaning emerges through grounding, clarification and feedback. A possible application domain for this research is augmented and mixed reality environments, which require real-time perception and explanation within dynamic contexts. Possible research directions include mechanistic interpretability of multimodal models, concept-based explanations grounded in affect and behaviour theory, and multimodal sensing using vision, audio and physiological signals. The project will also focus on developing interactive systems that support real-time dialogue and user questioning, with deployment in immersive environments.

You will be embedded within the Interactive Intelligence Group in the Department of Intelligent Systems at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS). More information about the faculty can be found at the EEMCS Faculty website and about the department at the Department of Intelligent Systems website. The research environment is open and collaborative, and participation in group activities is highly encouraged. Importantly, you will also participate in the Hybrid Intelligence Centre, a Dutch consortium dedicated to developing and researching Hybrid Intelligence. Consortium meetings and occasional visits to collaboration partners are part of the project. We embrace an inclusive culture where you can benefit from tailored mentorship and training to support your professional growth.

Job requirements

• You hold, or expect to obtain before the start of the project, a PhD degree in a relevant discipline.
• You have a relevant research track record in one or more of the following areas: (1) Generative AI and machine learning, (2) affective computing, (3) human-computer interaction or collaborative AI, and (4) interaction design, experimental design or evaluation of collaborative systems.
• You have a strong interest in interdisciplinary research at the intersection of AI, human behaviour understanding and interactive intelligent systems.
• You have excellent communication skills and a proactive attitude.
• You are able to work effectively in a multidisciplinary team.

TU Delft (Delft University of Technology)

Working at TU Delft means contributing to solutions that really make a difference.

For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future.

At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional. Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.

Faculty of Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.

Conditions of employment

• Duration of contract is 3 years. Temporary. This is a three-year position, consisting of an initial one-year contract with a two-year extension subject to good performance.
• A job of 38-40 hours per week.
• Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
• An excellent pension scheme via the ABP.
• The possibility to compile an individual employment package every year.
• Discount with health insurers on supplemental packages.
• Flexible working week.
• Every year, 232 leave hours (at 38 hours). You can also sell or buy additional leave hours via the individual choice budget.
• Plenty of opportunities for education, training and courses.
• Partially paid parental leave
• Attention for working healthy and energetically with the vitality program.

Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service, offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands. .

Additional information

If you would like more information about this vacancy or the selection procedure, please contact Stephanie Tan, via [e-mail].

Apply no later than 9 October 2026.