Postdoc position at Delft University of Technology TUDelft, The Netherlands

Postdoctoral Position in ERC ViSioN: Virus Spread in Networks – TU Delft, Aug 2022

The Netherlands

The Delft University of Technology invites applications for a Postdoctoral position involves in the project “Virus Spread in Networks” (ViSioN) is funded by ERC as an Advanced Grant 2020, at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), the Netherlands – Aug 2022

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General Info

Position: Postdoctoral Position
No. of Positions: 1
Research Field:
Deadline to Apply: Expired
Joining Date: ASAP
Contract Period: Subject to Norms
Salary: 2.846 EURO/Month

Faculty of Electrical Engineering, Mathematics & Computer Science

Delft University of Technology (TU Delft), the Netherlands


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Qualification Details

We are looking for postdoctoral researchers that have experience (i.e. have published) in the Epidemics on Networks and have a strong interest to join a large Network Science project on “epidemics”. The ideal candidate is well-versed in mathematics, algorithms, probability theory and network science and is creative as well. In addition, he/she should possess good programming skills and can work independently. The ideal candidate may help and guide the PhD students in ViSioN.

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

Responsibilities/Job Description

The project “Virus Spread in Networks” (ViSioN) is funded by ERC as an Advanced Grant 2020. ViSioN presents a Network Science view on virus spread in networks, in which the duality between the virus transmission process and the contact graph is key. The devastating Corona crisis reveals two major shortcomings in traditional epidemiology. First, it ignores the human contact graph and implicitly assumes a homogeneous population without specific graph structure. Second, most models for the virus spreading process relate to a Markovian setting, with exponential infection and curing times, leading to an exponential decay of the epidemic. Measurements, however, point to significantly different infection and curing time distributions. In addition, digital technology can help in constructing the contact graph and combined with medical testing, all infected can be detected. ViSioN aims to develop the theory of non-Markovian epidemic process on networks, a surprisingly missing element today, because non-Markovian theory is needed to tell, based on the characteristic infection and curing times of the virus, how long a pandemic will last and when the peak occurs. Next, ViSioN will combine all available measurement technologies to construct the best possible contact graph via temporal networking or adaptive networking. Finally, ViSioN will explore how accurately infections can be predicted under partial information of process and contact graph.

ViSioN is organized into 5 PhD tracks which work together and complement each other. In addition, 2 postdocs are added to the team.

How to Apply?

Application Method: Online Application
Ref. No.: TUD01987

Application Procedure

Please apply before August 31, 2022 via the application button and upload your motivation and CV.

  • 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.
  • Acquisition in response to this vacancy is not appreciated.

About the Faculty

Faculty Electrical Engineering, Mathematics and Computer Science

The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three disciplines - electrical engineering, mathematics and computer science. Combined, they reinforce each other and are the driving force behind the technology we use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make future-proof. We are also working on a world in which humans and computers reinforce each other. We are mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. There is plenty of room here for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1,100 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.

About the Employer:

Conditions of employment

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

For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation. An International Children's Centre offers childcare and there is an international primary school.

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Contact details

For more information about this position, please contact Prof. P. Van Mieghem.

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