Please indicate your interest as soon as possible (May 2024). Depending on your availability, the project can start latest October 2024.

In this project, resistive switching devices or 'memristors' will be realized and studied, and their potential for information processing in (oscillatory) network structures will be explored.
A particular interest exists in vanadium-dioxide based artificial neurons and synapses, following up on Gao et al., Adv. Electr. Mater. (2023), DOI: 10.1002/aelm.202300304.  

M.Sc. degree or equivalent in fields like (Applied) Physics, Electrotechnical Engineering, Materials Science, Nanotechnology. There should be an affinity for experimental research, involving thin film growth, lithography and electronic measurements, and the exploration of novel device concepts.

Please contact Prof. Hans Hilgenkamp; H.Hilgenkamp@utwente.nl

As soon as possible

In 2020 the NanoElectronics group in Twente introduced the concept of dopant network processing units (DNPUs, Nature 577, 341-345 (2020)). These are highly nonlinear silicon-based electronic devices that can be integrated in novel architectures for highly efficient computing. In particular, we see application potential for edge AI, where low power consumption and low latency are key. In this PhD project you will work on the fabrication and characterization of a new generation of dopant network processing units (DNPUs), that can be operated at room temperature and that are suitable for real-life static and time-dependent tasks.

MSc degree in the field of (applied) physics, electrical engineering or similar with an affection for machine learning.

Prof. dr. ir. Wilfred van der Wiel (w.g.vanderwiel@utwente.nl)

Suppose optical signals are encoded as 2D datasets, i.e. as an image with information in intensity, wavelength and polarization. How do you then design metasurfaces to perform common image processing steps, nowadays done on a PC, optimally in the optical domain? Can you use metasurfaces for all-optical feature extraction and classification tasks? What are the limits to stacking metasurfaces for more complicated algorithms? You will perform electromagnetic design and optimization and demonstrate concepts in optical experiments.

Master’s degree in physics, photonics, nanoscience, or a related field, and with an affinity to both experiment and theory.

PHD Position: Metasurfaces for energy-efficient wave-based computing - AMOLF

as soon as possible

All-Optical switching (AOS) of magnetization was demonstrated as a radically new approach to write magnetic bits at an unprecedented ps timescale and with low switching energies. Recently we have exploited multishot helicity dependent AOS and realized opto-magnetic synapses in CoPt films: non-volatile magnetic memory elements continuously adaptable with laser pulses. Key challenges for this project are to develop material systems where AOS can lead to multi-state switching, can be scaled down to nanometer dimensions and can be integrated in a photonic network while still retaining the energy efficiency of AOS.

MSc degree in Experimental Physics or equivalent qualification

Prof. Theo Rasing (theo.rasing@ru.nl)

09 June 2024

There will be interim selection procedures so it is possible that you will be assessed and invited to an interview or rejected before the closing date

The goal of this PhD project is to develop, build and operate a vacuum compatible exfoliation center for the creation of heterostructures constructed from reactive 2D materials. Recently, two-dimensional (2D) materials, e.g. graphene, have gained a lot of attention in research for their special physical properties compared to their three-dimensional counterparts. Especially halides or transition metal dichalcogenides, but also many other material compounds, show great potential for future device applications due to their special superconducting, magnetic or transport properties. However, typically these materials are very reactive and deteriorate quickly under ambient conditions or even in the dry atmosphereof a glove box. Your goal will be to establish a new synthesis method and subsequently investigate these materials with local probes at ultra-low temperatures, including scanning probe microscopy and magneto-transport. Using these newly developed material systems, you will investigate physical phenomena such as superconductivity, charge transport, and unconventional memory/computing.

Applicants must fulfill the following requirements to be considered:

• You have a Master degree in physicswith a master thesis on an experimental research topic;

• You can communicate in oral and written English;

• You are open to further develop your scientific communication skills via presentations and publications;

• You have a strong interest in condensed matter physics

Please add the following documents:

• A summary of three papers from our department, with a brief explanation of what you find interesting about the main finding of these publications.

• The contact details of two references.

• Your list of grades.

Prof.dr. Alexander Ako Khajetoorians | a.khajetoorians@science.ru.nl

PhD Candidate for Development of a Vacuum Compatible Exfoliation Center for 2D van der Waal Heterostructures | Radboud University

Can we make metasurfaces, which can process information encoded in structured optical beams ,programmable, trainable and dynamically reconfigurable? Can you switch between metasurface functions by incorporating suitable materials? If so, what are the limits in energy and speed? Can you train such active metasurfaces to realize all-optical neural network functions? We envision using novel materials as metasurface constituents, such as phase change materials that show strong and reversible changes in their linear and nonlinear optical response.

Master’s degree in physics, photonics, nanoscience, or a related field, and with an affinity to both experiment and theory.

PHD Position: Metasurfaces for energy-efficient wave-based computing - AMOLF

This project focuses on the demonstration of ferroelectric control over spin-orbit torques using two-dimensional materials for atomically-thin non-volatile data processing and storage.

The ideal candidate has:

• a master’s degree in physics, electrical engineering, materials science, or another related field.

• previous experience in optics, electronic transport, optoelectronics, magnetism, nanofabrication, or two-dimensional materials and heterostructures are a plus.

• some computer programming (e.g. Python) knowledge is appreciated.

• good spoken and written English proficiency is required.

Prof. dr. Marcos H. D. Guimaraes, m.h.guimaraes@rug.nl

30 May 2024

We are seeking a highly skilled and motivated candidate to investigate and implement conventional and novel concepts of neuromorphic computation to be mapped on the InP membrane on Silicon (IMOS) platform, relying on the possibility to co-integrate lasers, modulators and PDs and still reach ultra-compact form-factor and interfacing to ultra-fast electronics. Concepts of the in-memory computing will also be investigated and developed for this same platform and for the first time. This PhD research will enable mapping neural network models on monolithically integrated ultra-fast and ultra-compact chips, leading to highly efficient and parallel processing ultra-compact engines.

• Holds a Master within Electrical Engineering or Applied Physics or on Photonics;

• Has a strong background in photonics and integrated photonics;

• Has good programming skills, and a strong affinity with AI models;

• Is capable of taking initiatives and has a strong problem solving attitude;

Has good communication skills, fluent in English, both in speaking and writing, and has good team-working capabilities.

Please contact Prof. Patty Stabile, r.stabile@tue.nl