Postdoc Position in NeuroAI: Biologically Grounded Neural Networks for Cognition

Postdoc Position in NeuroAI: Biologically Grounded Neural Networks for Cognition

Employment

0.8 - 1.0 FTE

Gross monthly salary

€ 3,706 - € 5,760

Required background

PhD

Organizational unit

Faculty of Science

Application deadline

01 December 2026

Apply now

Can you help designing cognitive architectures to make brain implants smart in an international and interdisciplinary team involving the top neuroscience institutes in the Netherlands and thereby (ultimately) contribute to improve the life of patients?

Brain implants are, for the most part, fixed-function devices. The EBRAINS-NEUROTECH infrastructure is building a tool chain that changes this: neural networks that perform the perceptual and cognitive processing an implant needs, run on-device, and can be adapted by the experimenter.

You will build the core of that tool chain: a set of neural network modules for perception and cognition, grounded in what we know about the brain’s own mechanisms. For this position you will develop NeuroAI-in-practice: a set of neural network modules that can be easily used and adapted by an experimental user, while also giving publishable scientific insights in and of themselves.

Two use-cases, involving processing for vision implants and implants for cognitive restoration, will guide the work. These networks also have to run on-device. Together with a postdoctoral researcher from the Centre for Mathematics and Computer Science (CWI), you will translate the designs to a neuromorphic architecture.

The open and safe environment at Radboud University is extremely inspiring. I’ve felt totally at home here for over twenty years.

Hans de Kroon

Professor at the Faculty of Science

Hans de Kroon is a Professor of Plant Ecology and an initiator of the Healthy Landscape Research Consortium.

"I have freedom of movement at Radboud University. I can share my ideas with people from my own faculty, but I can also approach my colleagues from totally different academic disciplines. People are genuinely interested in each other and there is an ever-present air of equality. This type of open and safe environment is extremely inspiring. It has also led to extraordinary projects like the Healthy Landscape Research Consortium, in which ecologists, communication scientists and lawyers are contributing towards the restoration of nature. Collaboration can make a difference, and this is also evident from the way in which the university supports its academic staff. Research is fully embraced and promoted, which is affirmed by the way that it’s been used in the ‘You Have a Part to Play’ campaign. This actually enhances the social impact of our work. It makes me proud to be able to say that I’m conducting my research at Radboud University. I’ve felt totally at home here for over twenty years."

Read Hans' storyClose this story

Does this sound like you?

• You are a scientific programmer or postdoctoral researcher with excellent programming skills and a strong interest in NeuroAI.
• You have a PhD degree in a quantitative field, such as physics, mathematics, computer science, engineering or computational or theoretical neuroscience.
• You have experience with programming in Python and C in combination with deep learning tools such as PyTorch, TensorFlow, and JAX.
• You have a background in neuroscience, preferably on mechanisms for cognitive processes, or a strong desire to obtain such a background.

What we offer you

• We will give you a temporary employment contract of 1 year, with the possibility of a three- year extension (for a total duration of four years).
• Your salary within salary scale 10 depends on your previous education and number of years of (relevant) work experience. The amounts in the scale are based on a 38-hour working week.
• You will receive an 8% holiday allowance and an 8,3% end-of-year bonus.
• You will receive extra days off. With full-time employment, you can choose between 30 or 41 days of annual leave instead of the statutory 20.

Additional employment conditions

Work and science require good employment practices. Radboud University's primary and secondary employment conditions reflect this. You can make arrangements for the best possible work-life balance with flexible working hours, various leave arrangements and working from home. You are also able to compose part of your employment conditions yourself. For example, exchange income for extra leave days and receive a reimbursement for your sports membership. In addition, you receive a 34% discount on the sports and cultural activities at Radboud University as an employee. And, of course, we offer a good pension plan. We also give you plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide various training and development schemes.

Where you will be working

This position is physically hosted at the Neurophysics department of the Donders Institute at Radboud University. The work is part of the Software Platform of the EBRAINS-NEUROTECH infrastructure, involving teams at the University of Amsterdam (Dr Jorge Mejias), CWI (Prof. Sander Bohte) and Radboud University (Prof. Paul Tiesinga).

The Donders Institute for Brain, Cognition and Behaviour is a world-class interfaculty research centre that houses more than 700 researchers devoted to understanding the mechanistic underpinnings of the human mind. Research at the Donders Institute is focused around four themes:

• Language and communication.
• Perception, action and decision-making.
• Development and lifelong plasticity.
• Natural computing and neurotechnology.

Excellent, state-of-the-art research facilities are available for the broad range of neuroscience research that is being conducted at the Donders Institute. The Donders Institute has been assessed by an international evaluation committee as ‘excellent’ and recognised as a ‘very stimulating environment for top researchers, as well as for young talent’. The Donders Institute fosters a collaborative, multidisciplinary and supportive research environment with a diverse international staff. English is the lingua franca at the Institute.

Faculty of Science

The Faculty of Science (FNWI), part of Radboud University, engages in groundbreaking research and excellent education. In doing so, we push the boundaries of scientific knowledge and pass that knowledge on to the next generation.

We seek solutions to major societal challenges, such as cybercrime and climate change and work on major scientific challenges, such as those in the quantum world. At the same time, we prepare our students for careers both within and outside the scientific field.

Currently, more than 1,300 colleagues contribute to research and education, some as researchers and lecturers, others as technical and administrative support officers. The faculty has a strong international character with staff from more than 70 countries. Together, we work in an informal, accessible and welcoming environment, with attention and space for personal and professional development for all.

Radboud University

At Radboud University, we aim to make an impact through our work. We achieve this by conducting groundbreaking research, providing high-quality education, offering excellent support, and fostering collaborations within and outside the university. In doing so, we contribute indispensably to a healthy, free world with equal opportunities for all. To accomplish this, we need even more colleagues who, based on their expertise, are willing to search for answers. We advocate for an inclusive community and welcome employees with diverse backgrounds, cultures, and perspectives.

If you want to learn more about working at Radboud University, follow our Instagram account and read stories from our colleagues.

Is this the job for you?

You can apply only via the button below. Address your letter of application to Paul Tiesinga. We look forward to receiving your application. We ask you to include following documents with your application:

• Your CV.
• Your cover letter.
• The names and email addresses of at least two academic referees; three referees are preferred.

The first interviews will take place on Tuesday 15 December. You will preferably start your employment as soon as possible.

We can imagine you're curious about our application procedure. It describes what you can expect during the application procedure and how we handle your personal data and internal and external candidates.

Do you already work at Radboud University and have questions about making an internal move? Learn more about internal applications.

Apply now

Application deadline 01 December 2026

We would like to recruit our new colleague ourselves. Acquisition in response to this vacancy will not be appreciated.

Want to know more about this position?

Prof. P.H.E. Tiesinga (Paul)

paul.tiesinga [at] donders.ru.nl

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Last modified

27 October 2026

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