Assistant Professor on Network Science

Delft; Netherlands; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Flexible work schedules

Partial remote work

Job summary

TU Delft in Delft invites applications for an Academic Career Track position in Network Science focusing on network resilience in infrastructural systems. You will collaborate with EEMCS groups and contribute to education, research, and societal impact.

You will lead and extend network resilience theories to real-world problems in telecom, power, and transportation, supervise students and develop funded projects at national and international levels.

Qualifications

• PhD in a relevant field.
• Experience in network resilience and related theory.
• Ability to obtain funded research projects at national/international level.
• Lecturing and supervision of students.

Responsibilities

• Conduct research in network resilience for infrastructural networks.
• Collaborate with EEMCS groups and other professors.
• Educate and supervise students; contribute to curriculum.
• Develop funded research proposals and projects.

Skills

Network science

Collaboration

Education & supervision

Grant writing

Education

PhD in CS/EE/Physics/Math/OR

Job description

The candidate for this position has expertise in the broad area of Network Science. Network Science is the theory of dynamic processes (services, functions, software) on a graphs (topology, structure, hardware). A special focus for this position lies on network resilience, the network’s capability to withstand, adapt to and recover from external disruptions during a given time interval. Disruptions include topological disruptions, like failures or attacks of a subset of nodes or links, but also service perturbations (i.e. smaller bandwidth, more packet loss/delay in telecom nets and voltage/current drops or spikes in power grids, etc).

The candidate is able to apply theory of Network Science to real-world problems in infrastructural networks (telecommunication, power grid, transportation). The candidate is expected to be capable to extend and apply the network resilience expertise in NAS. Applicants should have a PhD degree in computer science, electrical engineering, physics, mathematics or operations research.

The candidate is able to integrate expertise from diverse domains and collaborate with the EEMCS groups of Prof. Van de Veen and Prof. Leus (graph signal processing), Prof. Wang (network data science), Prof. Redig (stochastic processes on networks) and Prof. Hamdioui (computer architectures). In addition, applicants should have:

• Skills and ambition to set up new collaborations with industrial partners.
• Ability and drive to acquire funded research projects at the national and international level.
• Skills and passion for education, including lecturing (see list of the courses on the NAS website) and supervision of students.

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 corevalues and we activelyengage 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.

Faculty of 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.

Conditions of employment

This position is offered as an Academic Career Track position (0.8 – 1.0 FTE). During the Academic Career Track, we expect you to grow towards an Associate Professor position within a maximum of eight years, for which a position will be available. With other Academic Career Track colleagues, you will participate in the Academic Career Track Development programme, where you are offered ample opportunities to develop yourself in the areas of Education, Research, Societal Impact & Innovation, and Leadership & Organisation. You will regularly discuss your development and results with senior staff based on a personalized development plan and performance criteria agreed upon at the start of your Academic Career Track. You will start with a temporary contract that will be converted to a permanent contract no later than 12 -18 months after a positive evaluation, based on continuous confidence in your development potential and fit in the organisation.

Inspiring, excellent education is our central aim. We expect you to obtain a University Teaching Qualification (UTQ) within three years if you have less than five years of teaching experience. This is provided by the TU Delft UTQ programme as part of the Academic Career Track Development programme.

TU Delft sets high standards for the English competency of the teaching staff. The TU Delft offers training to improve English competency. If you do not speak Dutch, we offer courses to learn the Dutch language within three years.

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged and you can work partly from home.

Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service , provides information and personal one‑on‑one guidance to help you prepare your relocation, and to find housing and schools for children (if applicable). In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available to support your accompanying partner with their job search in the Netherlands..

Additional information

If you would like more information about this vacancy or the selection procedure, please contact Prof. dr. ir. P. Van Mieghem, via [e-mail] with cc to Bernd Tuithof ([e-mail] ). When inquiring about this position, please refer to vacancy number EWI2026-NASUD.

Faculty/Department: Faculty of Electrical Engineering, Mathematics & Computer Science

FTE: 1

Submission is possible until: 15 Sep 2026