Associate professor in Data driven Research Methods in Civil Engineering

The Faculty of Civil Engineering & Geosciences (CEG) is looking for an assistant/associate professor on “Data-driven research methods in Civil Engineering”.

The faculty is committed to outstanding international research and education in the field of civil engineering, applied earth sciences, traffic and transport, water technology, and delta technology. It has a long history of doing research ‘with’ data. Think of data on:

  • hydrodynamics, sediment transport, and morphology in combination with hydrodynamic and morphodynamic models for coastal and riverine flood protection;
  • soil properties, infrastructure state, and load levels in combination with deformation and stability models for infrastructure state assessments (acceptable load levels, remaining lifetime);
  • logistics in combination with transport models and optimization techniques for the improved design of transport networks;
  • the state of materials in combination with predictive models for material degradation for lifecycle predictions of aging infrastructure;
  • water quantity and quality with time series analysis in combination with predictive models for water management purposes;
  • vessel movements in ports and waterways, water levels, currents, and bed levels in combination with port performance models for port infrastructure optimization.

Salary

The Associate professor position in Data driven Research Methods in Civil Engineering offers:

  • Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
  • The TU Delft offers a customizable compensation package, a discount on health insurance and sports memberships, and a monthly work costs contribution. 
  • For international applicants, they offer the Coming to Delft Service and Partner Career Advice to assist with their relocation.
  • An International Children’s Centre offers childcare and there is an international primary school.
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Job Requirements

Applicants should have the following qualifications:

  • PhD degree and expertise in a field relevant to the position and a broad affinity with research done at the Civil Engineering faculty
  • Ability to lead projects, as well as supervise, train, and support junior researchers.
  • Ability to design and deliver clear and engaging education.
  • A proven track record in collecting datasets, setting up databases, implementing workflows, and application of new data-driven research methods, all in an open-access environment.
  • Ability to define and pursue original and highly innovative research, evidenced by the track record and recommendations.
  • Ability to collaborate in research, educational and administrative projects, and to foster new collaborations across faculty as well as with external partners

Application Process

Interested applicants can apply and ensure that they attach the following:

  • letter of motivation
  • ‘personal research & teaching statement’ (max 3 pages),
  • detailed CV,
  • contact information of two persons who can provide references, a
  • publication list,
  • abstracts of your MSc and PhD thesis
  • and two selected publications

To apply as an Associate professor in Data driven Research Methods in Civil Engineering, click here

Application Deadline: September 30, 2022.

For more information, visit the official site.

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