The at AMOLF is looking for interns at the Master level that will model complex and emergent behaviour in actuated materials via cellular automaton theory.
As nature often shows, complex phenomena can be generated by a multitude of elements that interact in a relatively simple way (e.
g. bird flocking behaviour, reaction-diffusion). Higher degrees of complexity can be achieved by increasing the number of elements, or changing the behaviour of the local interactions.
An important consideration is the role played by stochastic events : will these events destabilize the system or make it more robust?
In this project, the student will develop numerical algorithms to explore the emergence of complex but robust behaviour in systems with distributed logic, and explore the potential of using stochastic events.
This computational work will then be integrated in an experimental setup, whose components are currently being developed.
The setup consists of a robotic material with inflatable pores, in which local feedback is realized through the use of deformation (and other) sensors and microprocessors.
Using this setup, can we create a material that automatically moves in the direction of certain stimuli, or that can be cut in two and still function?
About the group
The internship is open to candidates from a range of backgrounds, including Engineering, Physics, Material science or a related field.
The Soft Robotic Matter group is looking for a highly motivated candidate with a go-getter mentality. Preferably, the candidate has a strong computational background, in combination with a sound appetite for experimental work.
Experience in Matlab is an advantage, but not required. Excellent verbal and written communication skills (in English) are essential.
The internship must be a mandatory part of your curriculum. You have a nationality of an EU-member state and / or you are a student at a Netherlands University.
You must be available for at least 3, but preferable more than 5 months.
Terms of employment
At the start of the traineeship your trainee plan will be set out, in consultation with your AMOLF supervisor.