Are you interested in a project at the interface between physics, machine learning and neuromorphic computing? Do you thrive for both fundamental and societal impact of your research? We have a project for you! Neuromorphic computing is a way to do computations using hardware that mimics the architecture of the brain.

Are you interested in a project at the interface between physics, machine learning and neuromorphic computing? Do you thrive for both fundamental and societal impact of your research? We have a project for you! Neuromorphic computing is a way to do computations using hardware that mimics the architecture of the brain. This project aims to explore and benchmark the potential of new neuromorphic hardware and algorithms for concrete problems in quantum many-body physics. The project closely aligns with fundamental studies on ultrafast nanomagnetism and aims to find out which computational tasks can be carried out faster and more energy-efficient by deployment of new neuromorphic hardware. Ultimately, this may lead to the breaking down of existing computational barriers, paving the way to new scientific discoveries.

Although fundamental in nature, our research may, in the long term, stimulate the adoption of neuromorphic hardware in societal applications. You will receive training and perform research and will be part of an interdisciplinary effort involving collaborations with the Donders Institute, SURF and IBM, publish results in leading journals and have the chance to participate in national and international schools and conferences. Lastly, you will dedicate 10 % of your working time to teaching activities at undergraduate and postgraduate levels.

• You have excellent and highly motivated candidates with an MSc degree in Physics, Artificial Intelligence, or an equivalent qualification.
• You have a strong background in computational condensed matter physics and AI are particularly encouraged to apply.
• You have strong communication skills, including fluency in written and spoken English.

Fixed-term contract: 4-5 years.

• We will give you a temporary employment contract (0.8 FTE 5- year contract - 1.0 FTE 4- year contract) of 1,5 years, after which your performance will be evaluated. If the evaluation is positive, your contract will be extended by 2.5 years (4-year contract) or 3.5 years (5-year contract).
• You will receive a starting salary of €2,770 gross per month based on a 38-hour working week, which will increase to €3,539 from the fourth year onwards (salary scale P).
• You will receive an 8% holiday allowance and an 8,3% end-of-year bonus.
• You will be able to use our Dual Career and Family Support Service. The Dual Career Programme assists your partner via support, tools, and resources to improve their chances of independently finding employment in the Netherlands. Our Family Support Service helps you and your partner feel welcome and at home by providing customised assistance in navigating local facilities, schools, and amenities. Also take a look at our support for international staff page to discover all our services for international employees.
• You will receive extra days off. With full-time employment, you can choose between 30 or 41 days of annual leave instead of the statutory 20.

Work and science require good employment practices. This is reflected in Radboud University's primary and secondary employment conditions. You can make arrangements for the best possible work-life balance with flexible working hours, various leave arrangements and working from home. You are also able to compose part of your employment conditions yourself, for example, exchange income for extra leave days and receive a reimbursement for your sports subscription. And of course, we offer a good pension plan. You are given plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide various training and development schemes.

The Ultrafast Spectroscopy of Correlated Materials group conducts both experimental and theoretical research aimed to understand ultrafast processes in correlated materials. Your research will be embedded in interdisciplinary research on energy-efficient computing funded by the Dutch government through KIC and NWA programmes (NL-ECO). In addition, the research benefits from existing international collaborations (the EU-NIMFEIA project on magnonic reservoir computing, EU-COMRAD project on ultrafast spintronics, EU-3DMAGiC project on nanoscale topological spin textures). The main supervisors for this PhD position are Dr Johan Mentink and Prof Theo Rasing. Additional support will be provided by Dr Dima Afanasiev and Prof Alexey Kimel.

Institute for Molecules and Materials
Our research is embedded in the Institute for Molecules and Materials (IMM), which strives to fundamentally understand, design and control the functioning of molecules and materials. We offer a first class and international research environment with various theoretical and computational research topics and projects targeted to support and stimulate experiments