Vacancies

The NanoElectronics Group has positions for PhD and postdoctoral researchers available on a regular basis. These will be published at http://www.utwentecareers.nl. Open applications are welcome at any time.

PhD postions within the Collaborative Research Center Intelligent Matter at the University of Münster.
Please contact Prof. Wilfred van der Wiel directly if you are interested: W.G.vanderWiel@utwente.nl.

The following specific positions are currently available: 

  • Postdoc position on Material learning with dopant network processing units

    Are you interested in a job at the interface of machine learning and device physics to contribute to a new generation of energy-efficient hardware for artificial intelligence? If you have a PhD with a background in semiconductor physics, electrical engineering or machine learning, you may want to apply for this postdoc position within the Horizon Europe Pathfinder project HYBRAIN.

    Key takeaways

    • Hours40 hr.
    • Salary indicationSalary gross/monthly
      based on full-time€ 2,901 - € 3,707
    • Deadline31 Jan 2025

    This position is part of the Horizon Europe Pathfinder project HYBRAIN. HYBRAIN’s vision is to realize a radically new technology for ultra-fast and energy-efficient edge AI inference based on a world-first, unique, brain-inspired hybrid architecture of integrated photonics and unconventional electronics with collocated memory and processing. As the most stringent latency bottleneck in CNNs arises from the initial convolution layers, we will take advantage of the ultrahigh throughput and low latency of photonic convolutional processors (PCPs). Their output is processed using cascaded analogue electronic linear and novel nonlinear classifier layers.

    In 2020 we introduced the concept of dopant network processing units (DNPUs, Nature 577, 341-345 (2020)). In this postdoc project, you will work on the development of efficient machine-learning procedures to be applied to DNPU networks in combination with photonic and analogue electronic hardware. We will move to larger multi-DNPU networks and investigate the training performance of various conventional gradient descent methods for multi-DNPU networks in simulation first.

    Your profile

    * You are a highly motivated and enthusiastic researcher;

    * You have a PhD degree in the field of semiconductor physics, electrical engineering or similar with an affection for machine learning;

    * You are an independent and original thinker with a creative mindset;

    * You are a fast thinker with excellent analytical and communication skills;

    * You have good team spirit and like to work in an internationally oriented environment;

    * You are experienced with Python and Pytorch;

    * You are fluent in English.

    Our offer

    * You will be appointed for a period of a maximum of 2 years full-time within a very stimulating scientific environment. The university offers a dynamic ecosystem with enthusiastic colleagues.

    * Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU);

    * Gross salary between € 4.060,- and € 5.331,- per month depending on experience and qualifications;

    * Excellent benefits including a holiday allowance of 8% of the gross annual salary, a year-end bonus of 8.3% and a solid pension scheme;

    * 41 leave days per year based on a fulltime employment;

    * Excellent support for research and facilities for professional and personal development.

    * We encourage a high degree of responsibility and independence while collaborating with close colleagues, researchers and other university staff.

    * We are also a family-friendly institution that offers parental leave (both paid and unpaid) and career support for partners.

    Information and application

    Are you interested in this position? Please send your application before February 1, 2025, and include:

    * A motivation letter, emphasizing your specific interest and motivation to apply for a Postdoc position in our group.

    * A detailed Curriculum Vitae including your publications, awards, and working experience. Your CV should demonstrate the scope of your work and education and indicate a good fit with the stated requirements for the position.

    * References (contact information) of two scientific staff members (one of whom should be the supervisor of your MSc thesis/final project) who are willing to provide a recommendation letter at our request.

    The first round of interviews will be held on February 15, 2025.

    For more information regarding this position, you are welcome to contact Prof. Wilfred G. van der Wiel (W.G.vanderWiel@utwente.nl).

    About the department

    You will be working in the NanoElectronics Group of Prof. Van der Wiel. The NanoElectronics Group (NE) performs research and provides education in the field of nanoelectronics, comprising the study of the electronic and magnetic properties of systems with critical dimensions in the nano regime. It is our mission to excel in the field of nanoelectronics through the development of novel (concepts for) electronic devices and systems with nanoscale dimensions for application in future generations of electronics and information storage. In particular, we focus on neuromorphic electronics, quantum (spin) electronics, 2D electronic systems and acousto-electronics. The NanoElectronics Group is a founding member of BRAINS, the Center for Brain-Inspired Nano Systems at the University of Twente.

    About the organisation

    The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we embrace our role as contributors to a broad range of societal activities and as pioneers of tomorrow's digital society. As part of a people-first tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute.

    Wiel, W.G. van der (Wilfred)

    Wiel, W.G. van der (Wilfred)
    Full Professor of Nano Electronics, Director Center for Brain-Inspired Nano Systems (BRAINS)

    Do you have questions about this vacancy? Then you can contact Wilfred for all substantive questions about this position and the application procedure. 

    Contact

    Phone:+31534892873 

    Email:w.g.vanderwiel@utwente.nl

  • PHD POSITION ON ENERGY-EFFICIENT COMPUTING WITH DOPANT NETWORK PROCESSING UNITS

    This position is part of the Netherlands Initiative for Energy-Efficient Computing NL-ECO. NL-ECO is inspired by the need for a radical improvement in the energy efficiency of information and communication technology (ICT). This energy consumption is problematically high and is growing to unsustainable levels. The NL-ECO program, part of the Dutch National Science Agenda (NWA), aims to develop new concepts and associated materials for this purpose. In NL-ECO, 33 academic, industrial, and societal organisations join forces on one of the major social challenges; how can the rapidly increasing consumption of energy in ICT be curbed?

    In 2020 our 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.

    YOUR PROFILE

    • You are highly motivated and enthusiastic about energy-efficient computing;
    • You have a MSc degree in the field of (applied) physics, electrical engineering or similar with an affection for machine learning;
    • You are an independent and original thinker with a creative mindset;
    • You are a fast thinker with excellent analytical and communication skills;
    • You have good team spirit and like to work in an internationally oriented environment;
    • You are experienced with Python and Pytorch;
    • You are fluent in English.

    OUR OFFER

    • As a PhD student at UT, you will be appointed to a full-time position for four years, with a qualifier in the first year, within a very stimulating and exciting scientific environment;
    • The University offers a dynamic ecosystem with enthusiastic colleagues;
    • Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU);
    • You will receive a gross monthly salary ranging from € 2.770,- (first year) to € 3.539,- (fourth year);
    • There are excellent benefits including a holiday allowance of 8% of the gross annual salary, an end-of-year bonus of 8.3%, and a solid pension scheme;
    •  A family-friendly institution that offers parental leave (both paid and unpaid);
    • You will have a training programme as part of the Twente Graduate School where you and your supervisors will determine a plan for a suitable education and supervision;
    • We encourage a high degree of responsibility and independence, while collaborating with close colleagues, researchers and other staff.

    NFORMATION AND APPLICATION

    Are you interested in this position? Please send your application before July 15th 2024, and include:

    • CV
    • Motivation letter

    For more information regarding this position, you are welcome to contact Prof. Wilfred G. van der Wiel (W.G.vanderWiel@utwente.nl) Phone:+31534892873, email:w.g.vanderwiel@utwente.nl

    ABOUT THE DEPARTMENT

    You will be working in the [NanoElectronics Group] (www.nano-electronics.nl)of Prof. Van der Wiel  in close collaboration with industry and other researchers within NL-ECO.

    The NanoElectronics Group (NE) performs research and provides education in the field of nanoelectronics, comprising the study of electronic and magnetic properties of systems with critical dimensions in the nanoregime. In particular, we focus on brain-inspired and quantum electronics. It is our mission to excel in the field of nanoelectronics through the development of novel (concepts for) electronic devices and systems with nanoscale dimensions for application in future generations of electronics and information storage. The NanoElectronics Group is a founding member of [BRAINS] (www.utwente.nl/brains), the Center for Brain-Inspired Nano Systems at the University of Twente.

    ABOUT THE ORGANISATION

    The faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use nowadays, we embrace our role as contributors to a broad range of societal activities and as pioneers of tomorrow's digital society. As part of a people-first tech university that aims to shape society, individuals and connections, our faculty works together intensively with industrial partners and researchers in the Netherlands and abroad, and conducts extensive research for external commissioning parties and funders. Our research has a high profile both in the Netherlands and internationally. It has been accommodated in three multidisciplinary UT research institutes: Mesa+ Institute, TechMed Centre and Digital Society Institute.