22 science positions at AMOLF

Postdoc position in Biophysics: Revealing Ribosome Dynamics using Single-Molecule and AI Technology

Are you intrigued by the forefront of biophysics technology – and integration with genome-wide data and AI methods? Thanks to groundbreaking advancements, we can now show the internal dynamics

PhD-student: Physical learning machines

ways in which such physical learning is realized, and design new types of learning machines capable of solving complex engineering problems on their own. Some examples include neuromorphic computers

Quantum nano-optomechanics

. These projects are at the interface of quantum physics, photonics, and nano-engineering. They have a mainly experimental character, but feature strong ties to the rich theoretical background. Our group offers

PhD-student: Transmembrane protein mimics for communication between synthetic cells

between synthetic cells. With a lot of room for scientific creativity and collaborations, you will also further extend the capabilities of bottom-up synthetic biology by improving our methods to generate

Postdoc: Pattern-driven self-organization of multi-cellular systems

fields, with many potential applications in engineering and medicine. In this project, you will study the spatial control of biochemical signaling in intestinal organoids and other 2D cell cultures

Phd – student: Nonlinear metaphotonics for UV semiconductor metrology

.  The need for such a technology comes from the the extreme miniaturisation of micro-electronics,  which places extreme demands not just on nanofabrication, but also on inspection methods that visualize

PhD-student: Single-cell Dynamics in Mammary Gland Organoids

opportunity lies in the use of mammary gland organoids, which grow outside the body, and can hence be imaged with high spatiotemporal resolution. In this cross-disciplinary (physics & biology) project, you will

Two PHD positions: Metasurfaces for energy-efficient wave-based computing

to contribute to new technologies that realize radical improvements in the energy efficiency of information and communication technology? As part of the Dutch consortium NL-ECO on energy-efficient computing

Internship: Machines that design themselves; inventing green nanomechanical systems using large language models

improves through the experimentation process. Qualifications The internship is open to master’s degree candidates from a range of backgrounds, including Engineering, Physics, Computer Science, Mathematics

Two PhD positions: Fano4nano – Fano resonance enhanced scatterometry for wafer metrology

physics and design principles of natural and man-made complex matter, with research in the disciplines nanophotonics, nanophotovoltaics, chemistry & spectroscopy, mechanical metamaterials and biophysics