CMOS and beyond CMOS
Discover why imec is the premier R&D center for advanced logic & memory devices. anced logic & memory devices.
Connected health solutions
Explore the technologies that will power tomorrow’s wearable, implantable, ingestible and non-contact devices.
Life sciences
See how imec brings the power of chip technology to the world of healthcare.
Sensor solutions for IoT
Dive into innovative solutions for sensor networks, high speed networks and sensor technologies.
Artificial intelligence
Explore the possibilities and technologies of AI.
More expertises
Discover all our expertises.
Be the first to reap the benefits of imec’s research by joining one of our programs or starting an exclusive bilateral collaboration.
Build on our expertise for the design, prototyping and low-volume manufacturing of your innovative nanotech components and products.
Use one of imec’s mature technologies for groundbreaking applications across a multitude of industries such as healthcare, agriculture and Industry 4.0.
Venturing and startups
Kick-start your business. Launch or expand your tech company by drawing on the funds and knowhow of imec’s ecosystem of tailored venturing support.
/Job opportunities/Decoding the neural circuits for spatial memory

Decoding the neural circuits for spatial memory

Master projects/internships - Leuven | More than two weeks ago

Looking for C++ enthusiasts who like to help us understand memory through real-time processing and closed-loop manipulation of brain activity.

The Kloosterman Lab studies the neural basis of information processing and storage in the mammalian brain. We use a combination of neurophysiology, cellular imaging, optogenetics and advanced (real-time) neural signal processing in awake, behaving rodents.

Our research focuses on the cellular activity patterns during navigational task learning and sleep that underlie spatial memory processing. In the past we have shown that learning experiences are reflected in unique cellular patterns of activity in the hippocampus – a critical brain structure for long-term memory – and that these patterns are replayed spontaneously during sleep. Our aim is to understand how offline rehearsals drive the acquisition, consolidation and execution of demanding behavioral tasks.

We apply advanced data analysis approaches to interpret the relation between brain activity and behaviour. To further reveal the causal role of specific activity patterns in cognition, we have developed novel algorithms and a custom software platform for real-time signal processing and closed-loop perturbations. We are looking for highly motivated candidates who would like to advance our understanding of brain function in an international, multi-disciplinary and stimulating research environment. The candidate will work on the further development of software tools for real-time processing of streaming experimental data. Candidates should have demonstrated programming experience (required: C++11, recommended: Python) and be familiar with digital signal processing, machine learning and/or neuro-statistics.

The work will take place at the NERF laboratories on the imec campus. The candidates are expected to work pro-actively and independently within a small team of dedicated neuroscientists. For more information, please contact Prof. Fabian Kloosterman (​

Type of project: Internship, Thesis, Combination of internship and thesis

Duration: 6 to 9 months

Required degree: Master of Engineering Science, Master of Engineering Technology, Master of Science

Required background: Computer Science, Electrotechnics/Electrical Engineering, Biomedical engineering

Supervising scientist(s): For further information or for application, please contact: Fabian Kloosterman (

Imec allowance will be provided for students studying at a non-Belgian university.

This website uses cookies for analytics purposes only without any commercial intent. Find out more here. Our privacy statement can be found here. Some content (videos, iframes, forms,...) on this website will only appear when you have accepted the cookies.