PhD Position Spread in Networks

Updated: about 1 month ago
Deadline: 01 Aug 2024

4 Jun 2024
Job Information
Organisation/Company

Delft University of Technology (TU Delft)
Research Field

Technology
Researcher Profile

First Stage Researcher (R1)
Country

Netherlands
Application Deadline

1 Aug 2024 - 21:59 (UTC)
Type of Contract

Temporary
Job Status

Not Applicable
Hours Per Week

40.0
Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Epidemic processes widely apply to biological and computer network viruses, to cascading failures in power grids, to the spread of news, rumour or emotions in a social network, to transactions in banking networks and to the processing of functions and movements in the human brain. An epidemic process spreads over an underlying network topology or contact graph, that is generally changing over time. Standard models used so far are mostly based on Markovian processes and mean-field approximations. As the recent panic caused by Credit Suisse and Silicon Valley Bank throughout the global banking system has shown, dramatic improvements in modelling spread in networks is crucial to better understand and respond to such crises. As a PhD student at TU Delft, you will conduct research and develop non-Markovian models from the viewpoint of Network Science and geared to predicting and preventing spread in networks.

Depending on your interests in an epidemic application domain, your research may be dedicated to data communications, energy networks, and even pandemics within the scope of the ERC ViSioN project. Once you have mastered the theory, you will build models, describing the natural phenomenon with mathematical precision. Beside deriving theory and collecting data of real-world epidemic spread to validate your model, you will also program your model. Your software will convince decision makers of realistic scenarios and help reduce response times. You will be building your network of relevant stakeholders, e.g. in industry, among academics or at university hospitals. As a PhD student, you will also be coaching and supervising Master students with their thesis projects.

You will be joining the diverse and driven team of academic staff, PhD students and postdocs of the Network Architectures and Services Group . We share a drive to understand the characteristics of and processes running on complex networks, ranging from man-made infrastructures to biological, brain and social networks. Fostering an inspiring, friendly and supportive environment, we meet regularly and share ideas and knowledge. You will receive all the training you need to evolve as a scientist.


Requirements
Specific Requirements

You are driven to reduce the impact of spread in networks using mathematical modelling. For your research you harness your in-depth knowledge of mathematics, algorithms, probability theory and network science. In addition, you thrive on seeing your models applied, for which you reach out to relevant stakeholders using your communication and networking skills. In addition, you enjoy writing scientific articles and disseminating your findings in relevant communities and conferences. In view of the often privacy-sensitive nature of our research, you are an EU citizen.

You also have:

  • An MSc in Physics, Mathematics, Computer Science, System and control theory, Electrical Engineering or another relevant subject.
  • Extensive experience of modelling.
  • An eagerness to learn all about the latest technologies and their potential for mathematical modelling and prediction.
  • Excellent programming skills.
  • A good command of English, because you will be working in an international environment.

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 .


Additional Information
Benefits

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.


Selection process

Are you interested in this vacancy? Please apply before August 1, 2024 via the application button and upload:

  • Motivation letter, including: (1) a brief introduction of yourself, (2) a motivation why you are interested in this specific position. Maximum length 1 page.
  • Detailed 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.

    Please do not contact us for unsolicited services.


    Additional comments

    If you would like more information about this role, please contact: Prof. dr. ir. P. Van Mieghem, [email protected] .


    Website for additional job details

    https://www.academictransfer.com/342241/

    Work Location(s)
    Number of offers available
    1
    Company/Institute
    Delft University of Technology
    Country
    Netherlands
    City
    Delft
    Postal Code
    2628 CD
    Street
    Mekelweg 2
    Geofield


    Where to apply
    Website

    https://www.academictransfer.com/en/342241/phd-position-spread-in-networks/appl…

    Contact
    City

    Delft
    Website

    http://www.tudelft.nl/
    Street

    Mekelweg 2
    Postal Code

    2628 CD

    STATUS: EXPIRED

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