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Assistant/Associate Professor in Computer Vision and Deep Learning
Shape the future of AI and Computer Vision at TU Delft.
Lead research. Inspire engineers. Create impact.
Job description
You will shape the future of computer vision and AI by developing an internationally recognized research line, inspiring the next generation of engineers, and creating meaningful impact through science, education, and internal and external collaborations. At TU Delft, you will join a highly collaborative environment where your ideas can grow into lasting scientific and societal contributions.
The Department of Intelligent Systems at TU Delft is looking for an Assistant or Associate Professor who is excited to advance the field of Computer Vision and Deep Learning through excellent research, inspiring education, and meaningful collaboration.
The Computer Vision Lab conducts internationally recognized research on the automatic analysis and interpretation of visual data, including images, video, and 3D/4D sensor data. As part of the Pattern Recognition & Bioinformatics section, you will join a collaborative and interdisciplinary research environment with expertise in computer vision, pattern recognition, machine learning, bioinformatics, deep learning, generative AI, neuromorphic computing, spiking neural networks, and data-driven modelling.
You will develop an independent research program with international impact and visibility at the intersection of computer vision, deep learning, and modern AI. Your research may focus on topics such as:
deep learning for visual perception;
representation learning and foundation models for vision;
generative models and multimodal AI;
self-supervised, weakly supervised, and data-efficient visual learning;
3D, 4D, spatial, embodied, or dynamic vision;
neuromorphic computing, event cameras, spiking neural networks;
robust, interpretable, trustworthy, or responsible computer vision;
vision for science, engineering, health, climate, mobility, robotics, or other high-impact application domains.
We are particularly interested in candidates who combine scientific excellence with a strong motivation to engage beyond academia. You will publish high-quality research in internationally recognized venues, secure external funding, and build collaborations with academic, industrial, and public-sector partners to create lasting scientific and societal impact. We look for a candidate who will contribute to and benefit from TU Delft’s collaborative culture and the Dutch academic landscape. We value researchers who enjoy working together through shared research, joint supervision, collaborative grant proposals, and active engagement in a supportive departmental community.
You will position your research within computer vision while connecting it to broader developments in deep learning and artificial intelligence. You will contribute to education in deep learning, machine learning, AI, and specialized computer vision courses, as well as support curriculum development, academic leadership, and mentoring within the department. You will supervise PhD candidates, postdoctoral researchers, MSc and BSc students, supporting them in their development as independent researchers and professionals.
You will become part of an open, international, and interdisciplinary research environment with excellent facilities and close collaborations across faculties and external partners. TU Delft offers mentoring, leadership development, and clear opportunities to grow towards senior academic roles, including Full Professor. We value collaboration, inclusion, and academic citizenship, and encourage applications from candidates who enjoy working across disciplines, supporting colleagues and students, and contributing to an open, diverse, and inclusive academic community.
Job requirements
You hold a PhD in Computer Vision, Machine Learning, Artificial Intelligence, Computer Science, Electrical Engineering, Applied Mathematics, or a closely related discipline.
You are able and motivated to build meaningful collaborations with academic, industrial, and societal partners. We value a collaborative mindset and a proactive approach to developing external connections that drive scientific excellence and technological and societal impact.
You communicate effectively in an international academic environment and support shared research themes, joint supervision, collective grant initiatives, and a strong departmental community.
You have a research record appropriate to your career stage and a clear vision for future research in computer vision and deep learning.
You demonstrate the ability to teach deep learning, artificial intelligence, machine learning, and computer vision at university level.
You have experience with, or strong potential for, acquiring competitive external research funding.
You have experience in supervising, or the clear potential to supervise, PhD candidates and students in an inclusive and supportive manner.
For Associate Professor appointment, you demonstrate an established independent research profile, successful funding acquisition, academic leadership, and supervision experience.
TU Delft is committed to diversity, inclusion, and a socially safe working environment and particularly encourages applications from women. Preference may be given to female candidates in cases of substantially equal suitability; all candidates will be assessed on their qualifications, scientific quality, teaching and leadership potential, collaborative attitude, and fit with the position.
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.
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.
, Mathematics and Computer Science.
Conditions of employment
This position is offered as an Academic Career Track position 1.0 FTE).
Assistant Professor
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 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: €4.728,- to € 7.297,- 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: € 6.512,- to € 8.673,- 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
For more information about this vacancy, please don’t hesitate to contact Prof. Jan van Gemert, Head of the Computer vision lab (
[email protected]) or Prof. Marcel Reinders, Head of the Department of Intelligent Systems (
[email protected]).
If you would like to have an informal conversation before applying, you are welcome to contact us to discuss the position and your potential fit with the Computer Vision Lab and the Pattern Recognition & Bioinformatics section.
Application procedure
Are you interested in this position? Please apply no later than 15 September 2026 upload the following documents:
Motivation 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 Vision Lab and the Department of Intelligent Systems, and how you would contribute to our collaborative, inclusive, and impact-driven academic environment.
Curriculum vitae, 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.
Research statement (one to four pages) Please provide an overview of your current research and your vision for future research you would like to develop at TU Delft as part of this appointment. Please reflect on the questions and challenges that motivate your work, how your research connects with developments in the broader AI field, and how you would contribute to the collaborative research environment within the department. Please include a description of opportunities for collaboration within and beyond TU Delft, including potential contributions to scientific, technological, and societal impact.
Teaching statement describing your vision on education and supervision, including the courses and topics you can contribute to in deep learning, machine learning, artificial intelligence, and computer vision. Please include your approach to supporting students and creating an engaging and inclusive learning environment.
The first round of interviews is expected to take place on one or more of the following dates: 28 September, 2 October, 9 October and 16 October 2026. Shortlisted candidates are kindly asked to keep these dates available where possible. Further details about the interview process will be shared with selected candidates.
Reference checks are part of the selection procedure
Please note:
You can apply online. We will not process applications sent by email and/or post.
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.
Faculty/Department: Faculty of Electrical Engineering, Mathematics & Computer Science
Salary range: Zie vacaturetekst
Submission is possible until: 15 Sep 2026
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