11 Design positions at AMOLF in Netherlands

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

Large-language models (LLMs) have impressive capabilities, such as automatically generating code, writing poetry, or summarizing text; but can they be used to automate the design of mechanical

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

range of possibilities. Indeed, the ability to generate tissue-like materials from living building blocks whose mechanical and chemical interactions can be designed is a highly desirable goal of many

Postdoc: Inverse design of photonic metamaterials through physics-informed deep learning

to design, owing to the large parameter space and multidimensional design targets. In this pilot project, we want to investigate how artificial intelligence could predict the properties of two-dimensional

Quantum nano-optomechanics

carefully designed resonators. With these, we see on the one hand to push the known boundaries of mechanical metrology: exploring whether quantum limits of displacement detection can be evaded by smart

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

structures for application in high-precision semiconductor metrology, guided by design principles from the field of optical metasurfaces. The tremendous success of the semiconductor industry is enabled by

Phd – student: Nonlinear metaphotonics for UV semiconductor metrology

hand to perfom metrology on structures in wafers that themselves emit  at very short wavelengths when illuminated by infrared light. How do you design optical metasurfaces that efficiently radiate UV

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

the following questions: Suppose optical signals are encoded in space like an image, in wavelength and polarization. How do you then design metasurfaces to perform common image processing steps, nowadays done

Postdoc : Shining light on atomic scale processes

explore new architectures for creating functional and smart hybrid nanosystems. AMOLF performs leading research on the fundamental physics and design foundations of natural and man-made complex matter, with

PhD-student: Chiral

focused on the fundamental aspects of understanding and characterizing how chiral amplification effects can occur during crystallization, or on the design and development of systems that can undergo these

PhD-student: Cathodoluminescence tomography for semiconductor device inspection and analysis

that are relevant for semiconductor manufacturing and uses tomographic techniques in combination with inverse design and machine learning tools. The aim is to determine the possibilities and limitations of the use