Senior Scientist Computer Vision

About this position

What will be your role?

As a Computer Vision Scientist within the Intelligent Imaging research group, you will contribute to a variety of projects, often carried out in a team setting. You will conduct research collaboratively and develop new knowledge and technologies. In addition, you will work on projects where our expertise is directly applied for clients in business, industry, and government.

The Intelligent Imaging expertise group is a young, passionate, creative, and committed team of professionals (55+ people) specializing in the development of groundbreaking applications in the field of computer vision. Our team members come from diverse backgrounds, ranging from physics to artificial intelligence. Intelligent Imaging is a young and growing department where, over the past years, we have built extensive expertise in AI and deep learning. In both small and large projects, you will collaborate with colleagues from other expertise groups, within and beyond the defense domain. We provide a strong onboarding program and actively look for where your talents can best contribute within the group.

At TNO, we work in a close-knit team of professionals within an open and informal culture, across various domains, contributing to a safer world. For an impression of the projects we work on, we invite you to visit our website (Intelligent Imaging | TNO).

What we expect from you

You are able to communicate clearly with colleagues and clients, are customer-oriented, and have the drive to work collaboratively toward results that are practical and applicable for our clients. You enjoy coaching and mentoring colleagues, helping them grow both personally and professionally. You fluently speak both the Dutch as well as the English language.

• You have a completed academic degree (MSc or PhD) in Biomedical Engineering, Technical Medicine, Medical Imaging, Computer Science, Physics, Mathematics, Electrical Engineering, or Artificial Intelligence, along with at least ten years of experience in research within the field of computer vision.
• You are an especially strong fit for us if you have experience optimizing algorithms for real-time processing, knowledge of architectures and data pipelines, experience with embedded systems (edge computing), and/or experience with (electro-optical) camera systems.
• You have demonstrable experience in algorithm development and deep learning.
• In addition, you have experience with Python, MATLAB, and/or C++, or you are able to quickly master new programming languages.
• You have a pragmatic mindset and are motivated to further develop yourself as a researcher.
• Domain knowledge of the defense and robotics sector, along with a broad network and experience working with relevant stakeholders such as the police, defense organizations, DJI, or the Royal Netherlands Marechaussee (KMAR), is considered a strong plus.

What you'll get in return

Challenging and varied work with a real impact. And plenty of opportunities as, at TNO, you are in charge of shaping your career. We offer a gross monthly salary between € 5,900 and € 7,600 (based on your knowledge and experience), 8% holiday pay, a 13th month bonus of 8.33% and a flex budget (5.58% + € 180). In addition, you will be given every opportunity to develop yourself.

TNO offers optional employee benefits, enabling you to tailor your benefits package to match your personal situation. You may also expect:

• An extremely professional, innovative working environment where colleagues are leading experts in their field.
• The opportunity to attend courses, workshops and conferences, and to receive training and coaching based on your needs.
• 33 days annual leave plus a flexible holiday that can be used on a cultural, religious, or otherwise important day of your choosing (on a full-time basis).
• An employer working towards a respectful, inclusive, and equitable work environment where every employee can flourish, with various initiatives such as Jong TNO, numerous expertise based guilds, Rainbow Community and Round Tables on diverse inclusion topics.
• We offer a comprehensive and flexible mobility plan that also includes full compensation for public transportation for commuting and business travel.
• Great social events with your team and other TNO colleagues. That’s how you will get to know a lot of people really quickly.
• Flexible working hours, the possibility to work parttime (32 or 36 hours) and the possibility of working from home.
• Extensive relocation package for international candidates.
• A good pension scheme.

Read more about tailoring your benefits package.

TNO as an employer

Our people are at the heart of TNO. Their curiosity, expertise and entrepreneurial mindset make it possible to deliver high-impact research and innovations that contribute to society’s sustainable wellbeing and prosperity. That is why we invest in an inspiring and inclusive working environment where colleagues can excel, have autonomy and continue to grow.

Your talent and ambition have every opportunity to flourish at TNO. You work with experts (both within and beyond TNO), have access to advanced technology and the freedom to explore, experiment and innovate. Our strength lies in independence, reliability and collaboration. We find each other in wonder and ingenuity. We are driven to push boundaries. By working with businesses and government, and by connecting different perspectives, we strengthen our innovative capability and create responsible, meaningful results.

At TNO, we believe this is our time to help society, government and business move forward faster. Together with driven colleagues, you turn knowledge into concrete innovations or ventures that truly make a difference by combining the power of science and entrepreneurship. And in doing so, you make your mark on our time.

The selection process

Please apply before the 6th of July, 2026. The selection process comprises two interview rounds. In a final meeting we will discuss the terms of employment and your tailored benefits package. We aim to finalize the entire process within four weeks.

The selection process may include an online assessment and a reference check.

Has this job opening sparked your interest?

Then we’d like to hear from you! Please contact us for more information about the job or the selection process. To apply, please upload your CV and covering letter using the ‘