项目介绍

2025年3月14日

At Radboud University, we aim to make an impact through our work. We achieve this by conducting groundbreaking research, providing high-quality education, offering excellent support, and fostering collaborations within and outside the university. In doing so, we contribute indispensably to a healthy, free world with equal opportunities for all. To accomplish this, we need even more colleagues who, based on their expertise, are willing to search for answers. We advocate for an inclusive community and welcome employees with diverse backgrounds, cultures, and perspectives. Will you also contribute to making the world a little better? You have a part to play.

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Faculty of Science
The Faculty of Science (FNWI), part of Radboud University, engages in groundbreaking research and excellent education. In doing so, we push the boundaries of scientific knowledge and pass that knowledge on to the next generation.

We seek solutions to major societal challenges, such as cybercrime and climate change and work on major scientific challenges, such as those in the quantum world. At the same time, we prepare our students for careers both within and outside the scientific field.

Currently, more than 1,300 colleagues contribute to research and education, some as researchers and lecturers, others as technical and administrative support officers. The faculty has a strong international character with staff from more than 70 countries. Together, we work in an informal, accessible and welcoming environment, with attention and space for personal and professional development for all.

1. Introduction

This PhD project focuses on developing methods to assess the sustainability of nearly 100 nationwide AI systems within the National Lab on Education and AI (NOLAI). You will create methods to predict energy consumption, create energy labels for algorithm scalability, and guide implementers in choosing more efficient algorithms. Ready to make AI more sustainable? Apply now!

2. Job description

The goal of your PhD project is to develop methods to steer developments of large AI systems in such a way that they are environmentally sustainable. To this end, different designs of AI systems should be assessed during the design phase. Data flow diagrams are already used in NOLAI, and capture all the processing, storing and transmission of data: elements in the environmental impact of IT systems. You can extend these data flow diagrams with the expected environmental impact so different design variants can be considered by the team working on these systems.

You will measure and fill the unknowns uncovered in such a data flow diagram. The scalability of the core algorithms of a new nationwide AI system can be predicted using generated data sets of different sizes and measuring the environmental impact. This impact can be measured and calculated using our Software Energy Lab, which has multiple test machines with GPUs and, in the future, AI accelerators.

Development teams currently lack guidance on how to create sustainable systems. You will develop a method to help development teams choose the right algorithm and right hardware. This can be done by measuring (during the above-mentioned experiments) how the algorithms are constrained. They can be constrained by either compute power or memory bandwidth. This information can be used to calculate the theoretical maximum energy efficiency of an algorithm that is run on an architecture/accelerator. To make testing multiple architectures easier, you will leverage our existing approach to generate code from a single source code for multiple architectures and accelerators, called SaC.

You will create a way to disseminate the scalability and environmental impact within NOLAI. To this end, sustainable scalability labels of core algorithms should be made available within NOLAI. These labels can be used to design new systems. What should be included in these labels is part of this PhD research project. You will collaborate with scientific staff and PhD candidates from different disciplines and with a small team of software developers working on AI prototypes and infrastructure.

There is no teaching load in this position.

3. Profile

• You hold a Master’s degree in Computing Science or Information Science (or a closely related field) and have knowledge of and an interest in security and privacy.
• You are eager to work in a multidisciplinary setting like NOLAI, together with AI experts, social scientists, schools and commercial partners.
• You are interested in research in an applied setting, making sure the contributions are practical and sustainable.
• You have a good command of English and good writing skills.

4. We are

The position is at Radboud University’s Institute for Computing and Information Sciences (iCIS) as part of the NOLAI project. NOLAI, the National Education Lab AI, funded by the Dutch National Growth Fund, represents the largest public investment worldwide in the field of AI and education. It is a 10-year project involving multiple universities, schools and non-academic partners. The goal is to have a long-lasting positive impact by combining scientific, educational and commercial perspectives.

iCIS is an internationally recognised institute that is consistently ranked among the top Computer Science departments in the Netherlands. It comprises an enthusiastic and devoted team of excellent researchers that closely collaborate in a flat organisational structure. The institute focuses its research on three themes: data science, digital security and software science. Each of these themes spans the full breadth from fundamental research to application-oriented research. Our long-term drive is to contribute to both science and society. iCIS staff members are also responsible for the  Bachelor’s and Master’s programmes in Computer Science, the Master’s programme in Information Science, and for about 30% of the Bachelor’s and Master’s programmes in AI at Radboud University. iCIS staff have a high level of freedom to determine the way they structure the work they do. Over the past few years, the institute has made a strong effort to increase the diversity of its staff. More than half of our academic staff have an international background.

5. We offer

• We will give you a temporary employment contract (1.0 FTE) 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).     
• You will receive a starting salary of €2,901 gross per month based on a 38-hour working week, which will increase to €3,707 in the fourth year (salary scale P).
• You will receive an 8% holiday allowance and an 8,3% end-of-year bonus. 
• 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. 

6. Practical information and applying

You can apply only via the button below. Address your letter of application to Bernard van Gastel. In the application form, you will find which documents you need to include with your application.

The first interviews will take place on Tuesday 6 May. You will preferably start your employment as soon as possible.

We can imagine you’re curious about our application procedure. It describes what you can expect during the application procedure and how we handle your personal data and internal and external candidates. 

Additional employment conditions

Work and science require good employment practices. Radboud University’s primary and secondary employment conditions reflect this. 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 membership. In addition, you receive a 34% discount on the sports and cultural activities at Radboud University as an employee. And, of course, we offer a good pension plan. We also give you plenty of room and responsibility to develop your talents and realise your ambitions. Therefore, we provide various training and development schemes.