Vacancies NL-ECO
Highly motivated and enthusiastic researchers are welcome to apply for the current open positions in the research areas of our program: Concepts, Materials, Applications and Demonstrators. NL-ECO pursues equal opportunity in respect of i.e. gender and cultural diversity. Selected Ph.D. and postdoc candidates will join our outstanding consortium and unique program where science, innovation and use come together in an interdisciplinary approach. Their work will be performed at one of the NL-ECO members’ organizations and in close collaboration with other partners of our program.
Ph.D. researcher (4 years): Energy-efficient computing with dopant network processing units | |
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Organization | University of Twente, NanoElectronics Group |
Deadline | 15 July 2024 |
Project | 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. |
Profile candidate | MSc degree in the field of (applied) physics, electrical engineering or similar with an affection for machine learning. |
Applications | Prof. dr. ir. Wilfred van der Wiel (w.g.vanderwiel@utwente.nl) https://utwentecareers.nl/en/vacancies/1627/phd-position-on-energy-efficient-computing-with-dopant-network-processing-units/ |
Ph.D. researcher (4 years): Post-Von Neumann architectures with ferroelectric devices | |
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Organization | University of Groningen, Computer Architecture group |
Deadline | As soon as possible |
Project | Ferroelectric Field-Effect Transistors (FeFETs) are considered as one of the enabling technologies for the next generation highly energy efficient computing systems. FeFETs are programmable, non-volatile silicon-based devices that can facilitate novel architectures able to efficiently perform complex, irregular, highly dynamic computational tasks. More precisely, our focus in on bringing processing capabilities close to the data sources, e.g., AI at the edge but not limited to. The goal is to minimize data access latency, bring the overall system energy efficiency to levels impossible with current technology and as a result enable new applications. In this PhD project you will work on the design and validation of a new generation of FeFET-based data processing architectures, algorithms and tools that can accelerate complex applications able to solve challenging problems from real-life. The work will be performed within a multidisciplinary team of PhD students working at different levels, starting from advanced ferroelectric materials and circuit design, up to heterogeneous computing systems. |
Profile candidate | MSc degree in the field of computer engineering, computer science, electrical engineering or similar with an affection for computationally demanding applications and machine learning. |
Applications | Prof. dr. ir. Georgi Gaydadjiev (g.gaydadjiev@rug.nl) |
PhD Researcher (4 years): Memristor-based neuromorphic network concepts | |
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Organization | University of Twente, Interfaces and Correlated Electrons |
Deadline | Please indicate your interest as soon as possible (May 2024). Depending on your availability, the project can start latest October 2024. |
Project | 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. |
Profile candidate | 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. |
Applications | Please contact Prof. Hans Hilgenkamp; H.Hilgenkamp@utwente.nl |
Ph.D. researcher position (4 years): Metasurfaces for energy-efficient wave-based computing | |
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Organization | AMOLF, Resonant Nanophotonics group |
Deadline | null |
Project | 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. |
Profile candidate | Master’s degree in physics, photonics, nanoscience, or a related field, and with an affinity to both experiment and theory. |
Applications | PHD Position: Metasurfaces for energy-efficient wave-based computing - AMOLF https://amolf.nl/jobs/two-phd-positions-metasurfaces-for-energy-efficient-wave-based-computing |
PhD position (4 years): Optical controllable magnetic structures for in-memory computing | |
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Organization | Radboud University, Spectroscopy of Surfaces and Interfaces |
Deadline | as soon as possible |
Project | 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. |
Profile candidate | MSc degree in Experimental Physics or equivalent qualification |
Applications | Prof. Theo Rasing (theo.rasing@ru.nl) |
Ph.D. candidate (4 years): Development of a vacuum compatible exfoliation center for 2D van der Waal heterostructures | |
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Organization | Radboud University, Scanning Probe Microscopy |
Deadline | 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 |
Project | 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. |
Profile candidate | Applicants must fulfill the following requirements to be considered:
Please add the following documents:
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Applications | 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 https://www.ru.nl/en/working-at/job-opportunities/phd-candidate-for-development-of-a-vacuum-compatible-exfoliation-center-for-2d-van-der-waal-heterostructures |
Ph.D. researcher positions (4 years): Metasurfaces for energy-efficient wave-based computing | |
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Organization | AMOLF, Interacting Photons group |
Deadline | null |
Project | 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. |
Profile candidate | Master’s degree in physics, photonics, nanoscience, or a related field, and with an affinity to both experiment and theory. |
Applications | PHD Position: Metasurfaces for energy-efficient wave-based computing - AMOLF https://amolf.nl/jobs/two-phd-positions-metasurfaces-for-energy-efficient-wave-based-computing |
Ph.D. (4 years): (opto-)spintronics in van der Waals heterostructures | |
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Organization | University of Groningen, Optospintronics of Quantum Materials |
Deadline | null |
Project | 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. |
Profile candidate | The ideal candidate has:
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Applications | Prof. dr. Marcos H. D. Guimaraes, m.h.guimaraes@rug.nl https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-02S000ARLP |
Ph.D. position (4 years): Integration of Ferroelectric Tunnel junctions | |
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Organization | University of Twente, Inorganic Materials Science |
Deadline | as soon as possible |
Project | Although discovered much more recently than other types of Resistive RAM elements, ferroelectric memristors show the required performance for integration with CMOS. In the past couple of years, ferroelectric memristors with very promising properties have been demonstrated, as non-volatile resistive memory elements, including large OFF/ON ratios > 104 , reproducibility, high speed (< 10 ns), and potentially low operation energy (< 10 fJ). Most important, to minimize overall system power, the very high tunnelling electro resistance (TER) values (up to 1010 Ohms) of FTJs are ideal for integration with CMOS, resulting in low power operation. In this project, crossbar arrays of memristive devices will be developed, in collaboration with TSST and Solmates, based on ferroelectric tunnel junctions (FTJs) and explore their integration with CMOS technologies will be explored. With this, we will demonstrate FTJs compatibility with CMOS electronics. FTJs are based on epitaxial strained oxide ferroelectrics and therefore require specific substrates and high processing temperatures. This hampers the integration of ferroelectric oxides with Si/CMOS. Lattice mismatch, thermal expansion mismatch and chemical stability of the substrate are the main difficulties to be overcome. Here, the challenge is to obtain epitaxial and ferroelectric tunnel barriers with the ferroelectric polarization out-of-plane. SrTiO3 has been regarded as a good template to deposit most of functional oxides, due to the low lattice mismatch with Si and chemical compatibility and films with substrate-like quality can be realized. |
Profile candidate | · You are an enthusiastic and highly motivated researcher. · You have a MSc degree in Chemistry, Physics, Materials Science or equivalent, with excellent experimental skills. · You have a creative mindset and excellent analytical and communication skills. · You have a keen interest in Materials Science, Materials Chemistry and Physics. · You like to work in an interdisciplinary and internationally oriented environment. · You are fluent in English. |
Applications | Prof. dr. ir. Gertjan Koster (g.koster@utwente.nl). |
PhD position (4 years): Hybrid-Photonic Neural Networks on Chip | |
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Organization | Technische Universiteit Eindhoven, Electro-optical communication, PNN Lab |
Deadline | 30 May 2024 |
Project | 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. |
Profile candidate |
Has good communication skills, fluent in English, both in speaking and writing, and has good team-working capabilities. |
Applications | Please contact Prof. Patty Stabile, r.stabile@tue.nl |