AI Scientist | Intelligent Orchestration of Complex Systems

As a Scientist in AI working on intelligent orchestration of complex systems, you’ll help bridge the gap between cutting-edge AI and the complex dynamics of real infrastructure, logistics, and industrial automation. At TNO, we develop intelligent architectures that allow large-scale systems to optimize, self-adapt, and collaborate – across domains, technologies, and organizations.

Modern AI has opened new possibilities in learning, prediction, and decision-making. But applying these capabilities at the scale of interconnected, mission-critical systems is a challenge in itself. You’ll work in interdisciplinary teams to create scalable solutions that combine machine learning with systems engineering and domain knowledge. Whether it’s routing autonomous vehicles, balancing the energy grid, or improving coordination in supply chains, your work will have real-world impact.

You’ll conduct hands-on research into how large, hybrid systems can learn, optimize, and adapt under dynamic conditions. Working together with engineers, mathematicians, and domain experts, you’ll help design the intelligent building blocks of the future.

You will:

• Apply advanced AI techniques such as reinforcement learning, graph learning, or probabilistic modeling to complex, interdependent systems.
• Develop and test multi-objective optimization algorithms to support trade-offs in cost, energy, performance, and risk.
• Contribute to the architecture of intelligent systems that operate across organizational and technical boundaries.

You'll also explore how systems can become more self-aware, resilient, and capable of long-term learning even in uncertain or changing environments. You’ll build prototypes and demonstrators with partners from industry, government, and academia, and present your findings both internally and externally.

You combine analytical sharpness with curiosity and creativity. You enjoy exploring complex challenges and translating theory into solutions that matter. You value collaboration and are eager to co-create impactful innovations with partners inside and outside TNO.

You’ll also bring:

• MSc or PhD (or equivalent) in Artificial Intelligence, Computer Science, Systems & Control, Applied Mathematics, or similar.
• Solid knowledge of AI/ML methods such as supervised/unsupervised learning, reinforcement learning, or planning under uncertainty.
• Interest in complex systems, systems engineering, or systems-of-systems thinking.
• Programming skills in Python (e.g., PyTorch, TensorFlow, scikit-learn) or Rust, plus experience with simulation or optimization tools.
• Strong communicator, comfortable in multidisciplinary teams.

Bonus points if you also bring:

• Experience with simulation-based optimization, hybrid AI (ML + physics-based models), or digital twins.
• Knowledge of cyber-physical systems, multi-agent systems, or embedded decision-making.
• Familiarity with model-based systems engineering (MBSE) tools and architectures.
• Contribution to open-source or scientific codebases.
• Experience with deploying AI models in cloud or edge environments.

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 € 3,385 and € 5,000 (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.

Perhaps you would like to grow your career in the direction of commerce or consultancy? Or would you like to become a project manager? Immerse yourself in sustainable innovations? Or carve out a career as a technical expert?

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 on a full-time basis.
• An employer that values and encourages diverse talent, with initiatives like the Female Leadership Program, our Rainbow Community and round tables on 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 of 36 hours) and the possibility of working from home.
• Access to our Talent Development Programme.
• Networking opportunities and great activities organized by Jong TNO.
• A good pension scheme.

Read more about tailoring your benefits package.

At TNO, we innovate for a healthier, safer and more sustainable life. And for a strong economy. Since 1932, we have been making knowledge and technology available for the common good. We find each other in wonder and ingenuity. We are driven to push boundaries. There is all the space and support for your talent and ambition. You work with people who will challenge you: who inspire you and want to learn from you. Our state-of-the-art facilities are there to realize your vision. What you do at TNO matters: impact makes the difference. Because with every innovation you contribute to tomorrow’s world. Read more about TNO as an employer.

At TNO we encourage an inclusive work environment, where you can be yourself. Whatever your story and whatever unique qualities you bring to the table. It is by combining our unique strengths and perspectives that we are able to develop innovations that make a real difference in society. Want to know more? Read what steps we are taking in the area of diversity, equity and inclusion.

Please apply before the 27th of July, 2025. The selection process comprises two interview rounds. The preliminary interview takes place on the 6th of Augus, 2025. The second interview round has been scheduled for the 14th of August, 2025. 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.

A certificate of Conduct (VOG) is required before starting a new job at TNO.