Shape how humans understand data and turn complexity into insight, while educating the next generation of data and AI experts at TU Delft.

Job description

The Computer Graphics and Visualization group at TU Delft has an opening for an Assistant/Associate Professor in Visual Analytics. We seek a researcher with an ambitious research agenda in visual analytics and interactive data exploration, spanning areas such as human-AI interaction, explainable AI, decision support, and data-driven discovery. Our group develops computational methods and theory for generating, analyzing, and interacting with visual data. Our research spans computer graphics, visualization, rendering, modeling, interaction, simulation, game technology, and immersive environments, with strong connections to artificial intelligence, data science, AR/VR, 3D computer vision, and high-performance computing. We foster a multidisciplinary research environment that combines fundamental advances with impactful applications across a wide range of domains.

We particularly welcome candidates whose research advances visual analytics for the interactive exploration, analysis, and interpretation of complex data, including approaches that integrate human-centered artificial intelligence to support understanding and decision-making. Working within a supportive department that values scientific excellence, creativity, and complementary expertise, you will collaborate across disciplines, contribute to leading international venues, and help shape an ambitious research agenda. A key part of the role is developing an independent and internationally visible research programme in visual analytics. You will identify emerging scientific opportunities, translate them into innovative research projects, acquire and lead externally funded research, and build collaborations with academic, public-sector, and industry partners. Through your work, you will contribute to scientific advances and address challenges in domains where human understanding of complex data is essential, such as healthcare, engineering, sustainability, science, and public policy.

You will work with a highly talented and international student population, including students from our MSc programmes in Computer Science and Data Science & Artificial Intelligence Technology, and our BSc programme in Computer Science and Engineering. You will contribute to teaching and developing courses in visual analytics and related topics, creating an engaging and inclusive learning environment that inspires students from diverse backgrounds. You will supervise and mentor BSc, MSc, and PhD students, supporting their development into independent researchers and highly skilled professionals. As your research programme grows, you will have the opportunity to build and lead your own research team. TU Delft offers excellent opportunities for professional development, interdisciplinary collaboration, and access to state-of-the-art research facilities. Through your research, teaching, and leadership, you will help shape the future of visual analytics while educating the next generation of experts in data science, artificial intelligence, and visual computing.

Job requirements

• You hold a PhD in Computer Science, Mathematics, Physics, Electrical Engineering, Data Science, Artificial Intelligence, or a closely related discipline.
• You have a strong research record and a clear vision for future research in visual analytics or related fields.
• You are enthusiastic about teaching and developing courses in visual analytics and related computer science topics.
• You communicate effectively in English and contribute to an international, collaborative, and inclusive academic environment.
• You have the potential to develop, or have already demonstrated, an independent and internationally visible research programme.
• You are motivated to develop collaborations with academic, industrial, and societal partners.
• You have experience with, or strong potential for, acquiring competitive external research funding.
• You have experience supervising students and researchers, or clear potential to do so.
• For appointment at the Associate Professor level, you demonstrate an established independent research profile, successful funding acquisition, supervision experience, and academic leadership.

Conditions of employment
This position is offered as an Academic Career Track position (0.8 – 1.0 FTE). During the Academic Career Track, we expect you to grow towards an Associate Professor position within a maximum of eight years, for which a position will be available. With other Academic Career Track colleagues, you will participate in the Academic Career Track Development programme, where you are offered ample opportunities to develop yourself in the areas of Education, Research, Societal Impact & Innovation, and Leadership & Organisation. You will regularly discuss your development and results with senior staff based on a personalized development plan and performance criteria agreed upon at the start of your Academic Career Track. You will start with a temporary contract that will be converted to a permanent contract no later than 12 -18 months after a positive evaluation, based on continuous confidence in your development potential and fit in the organisation.

Salary scale 11-12: €4.925,-- to € 7.573,-- per month gross.

Associate Professor

For an Associate Professor position, we offer an initial temporary position with the prospect of a permanent contract. The duration of the temporary position is a maximum of 1 year. After a positive performance assessment, you will be employed in a permanent Associate Professor position.

Salary scale 13-14: € 6.764,-- to € 8.982,-- per month gross.

Inspiring, excellent education is our central aim. We expect you to obtain a University Teaching Qualification (UTQ) within three years if you have less than five years of teaching experience. This is provided by the TU Delft UTQ programme as part of the Academic Career Track Development programme.

TU Delft sets high standards for the English competency of the teaching staff. The TU Delft offers training to improve English competency. If you do not speak Dutch, we offer courses to learn the Dutch language within three years.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged and you can work partly from home.


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, provides information and personal one-on-one guidance to help you prepare your relocation, and to find housing and schools for children (if applicable). 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 Dr. Klaus Hildebrandt, via k.a.hildebrandt@tudelft.nl.

Application procedure
Are you interested in this vacancy? Please apply no later than 1 November 2026 via the application button and upload the following documents:

• CV, including a detailed publication list, a selection of key research contributions, and relevant achievements in areas such as teaching, supervision, leadership, collaboration, external engagement, and societal impact.
• Motivational letter (one to two pages). We value authentic and personally written letters. Please explain your motivation for joining TU Delft, how your research vision connects with the Computer Graphics and Visualization group and the Department of Intelligent Systems, and how you would contribute to our collaborative, inclusive, and impact-driven academic environment. In addition, briefly describe your leadership approach and how it contributes to a supportive, inclusive, and high-performing team culture aligned with TU Delft's values.
• Research statement (one to four pages). Please provide an overview of your current research and your vision for future research at TU Delft. Describe the key questions driving your work, its connection to developments in AI, and how you would contribute to the department's collaborative research environment. Please also outline opportunities for collaboration within and beyond TU Delft, including potential scientific, technological, and societal impact.
• Education statement (one to four pages). Describe your vision on education and supervision, including your potential contributions to courses and topics in visual analytics, data visualization, and human-centered and responsible AI. Please also discuss your approach to teaching, mentoring, and creating an engaging and inclusive learning environment.

You can address your application to Dr. Klaus Hildebrandt. We encourage you to apply at your earliest convenience, as applications will be reviewed on a rolling basis. We will also begin conducting initial exploratory interviews during the application period.

Please note:

• You can apply online. We will not process applications sent by email and/or post.
• A reference check is part of the selection process; we will request contact details during the interview stage and handle this in a transparent and careful manner.
• As part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel. We do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process. When the outcome of the assessment is negative, the candidate will be informed. The processing of personal data in the context of the risk assessment is carried out on the legal basis of the GDPR: performing a public task in the public interest. You can find more information about this assessment on our website about knowledge security.
• Please do not contact us for unsolicited services.