Job description
NExTWORKx*is the strategic partnership between the Telecom and ICT service provider KPN and Delft University of Technology. NExTWORKx aims to develop new concepts & technology in telecommunication and artificial intelligence, to respond to new disruptive technologies and to continue the development of talent. NExTWORKx enters its second research phase with a focus on developing and applying concepts from network science to model the huge number of real-time interactions between software components and data sets and to enable monitoring and control. AI-based algorithms will be developed for monitoring information flows and smart contracts. A trusted layer for monitoring and control is crucial for every network and digital infrastructure individually, but also across critical infrastructures, data sharing and smart city platforms. NExTWORKx announces the hiring of 4 PhD students who will be mentored by both TUDelft and KPN staff. The 4 PhD projects contribute to the above goals, but each with a different focus:

• Safe use of AI in telecommunication networks
• Resilient cross domain networks for critical infrastructure
• Secure data sharing in federated edge clouds
• Co-evolution of telecommunication networks and urban systems

Safe use of AI in telecommunication networks: Telecommunication networks are becoming highly programmable and automated. Network Functions (NFs) in software, for example for routing and access management, can be deployed by generic hardware. As a result of this virtualization, the supplier landscape for (software based) NFs becomes more diverse (lower barrier for entry) and innovative (software development cycle rather than hardware renewal). Challenge for telecommunication network operators is to both source innovative and cost-effective NFs and to integrate these NFs from multiple vendors into a secure and reliable overall network architecture. This challenge is also referred to as “Operating Disintegrated Networks (ODIN)”.

Both individual NFs and the overall network management software will include AI based algorithms and will change in real time. Hence, classical software and integration testing will not necessarily ensure the correct functioning of the overall telecommunication network.

Research challenges include:

• How to model the interaction between the different software components (NFs, automated network management), including the interplay with the underlying (virtualised) physical infrastructure
• How to model the impact of AI (closed loop learning) on the potential “action spaces” of the different software components and the resulting potential network behaviour
• Develop concepts of observability and controllability for AI based NFs and automating telecom network management.
• Develop design guidelines for AI based NFs and automating telecom network management to guarantee network safety and security and to be able to explain (backtrack) in case of failure (explainable AI)
• KPN and Delft University of Technology will work together on new ICT technologies (overons.kpn)

Requirements
We are looking for brilliant PhD candidates with a strong interest to the join a university-company collaboration on future Networking. The ideal candidate is multidisciplinary, well-versed in telecommunications (protocols, architectures, design and performance), algorithms, probability theory, data science and network science.

Because of project definitions, we are looking for EU citizens.

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. For more details please check the Graduate Schools Admission Requirements.

TU Delft (Delft University of Technology)
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!

Faculty Electrical Engineering, Mathematics and Computer Science
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.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.

Conditions of employment
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 € 2872 per month in the first year to € 3670 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.

Additional information
For more information about this position, please contact Prof. P. Van Mieghem, e-mail: p.f.a.vanmieghem@tudelft.nl.

Application procedure
Are you interested in this vacancy? Please apply before 1 December 2024 via the application button and upload the following documents to your application:

• A two-page motivation letter, explaining why you would like to work with us, your research interest, and experience related to the research field;
• Degree transcripts;
• An up-to-date CV;
• The names and contact information of at least three relevant references. We will not contact references without your consent.

A pre-employment screening can be part of the selection procedure.

You can apply online. We will not process applications sent by email and/or post.

Please do not contact us for unsolicited services.