PhD Position AI/ML Algorithms for 6G Telemetry Systems

Join the Dutch 6G flagship project to help shape the future of communications

Join the frontier of innovation in 6G: the future of mobile networks technology In the Netherlands, a unique alliance of 60 top-notch ICT companies, semiconductor firms, and research institutions has united to spearhead specific aspects of 6G: (1) software antennas, (2) AI-driven network software, and (3) groundbreaking 6G applications. Join us as a PhD student in this prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge.

6G aspires to connect seamlessly new types of user devices ranging from IoT nodes and wearables to drones and autonomous vehicles; to leverage new types of technologies/interfaces; and to fully-integrate in its fabric vertical / application-level mechanisms. This unprecedentedly complex ecosystem calls for a clean-slate approach in the design of network monitoring and telemetry analysis solutions. These tools need to be able to run at real-time, enable extremely accurate inferences, and at the same time reduce data collection / processing costs and overheads. There is wide consensus that the role of network telemetry will be pivotal in optimizing the performance of 6G, yet it remains unclear how to achieve this promise.

Your PhD pursuit aims to pioneer AI/ML algorithms for tackling this problem heads on through the design of zero-touch monitoring, telemetry analysis and controlling of 6G communication systems. You will leverage state-of-the-art AI/ML techniques such as Reinforcement Learning, Deep Learning, Bayesian Learning and Federated/Split Learning to design 6G telemetry mechanisms with extremely high inference accuracy and minimal overheads; and further explore the potential of emerging AI paradigms, such as Generative AI and Neurosymbolic AI for the design of the next generation of telemetry solutions. These AI/ML tools will be tested in practice, using TU Delft's cutting-edge programmable network

This position lies at the nexus of 6G and AI/ML and offers the unique opportunity to collaborate with, and learn from, experts in academia and industry, towards putting theory in practice and delivering holistic and realistically tested solutions. Ideal candidates will be interested in mastering AI/ML algorithms (theory and testing), and deep-diving in 6G architecture and management solutions, including programmable networks.

You'll be joining the Networked Systems group: an internationally diverse and thriving team, providing ample opportunities for riveting sparring and knowledge sharing. Fostering a highly collaborative and friendly atmosphere, we will give you all the support you need to develop and grow. Moreover, as a valued member of the FNS consortium, you can collaborate closely with various partners in pursuit of integrating the developed next-generation telemetry systems into the 6G digital twin, proof-of-concept solutions, and 6G demos.

Become part of an expansive ecosystem shaping the development of 6G. You will benefit from training in 5G and beyond networks, AI, and software development. Plus, you will gain exclusive access to (1) a state-of-the-art testbed where theory meets real-world application, and (2) an ecosystem that cultivates entrepreneurial endeavours.

Are you ready to challenge yourself? We're seeking candidates who have, or are about to receive, a Master-of-Science degree in a relevant computer science discipline. We'll evaluate based on your academic record, interviews, and possibly assignments. While a strong background in the field is crucial, what matters as well is your creative flair, motivation, and above all, your passion for comprehensive research

Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis.

Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2770 per month in the first year to € 3539 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.

The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants, TU Delft has the Coming to Delft Service. This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network.

Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.