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  3. Postdoc Robust Decision Making on Critical Structures under Uncertainties

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Postdoc Robust Decision Making on Critical Structures under Uncertainties

Timely decision making and effective maintenance scheduling of complex and critical engineering structures and infrastructures (such as bridges, wind …

2 maanden geleden

Arbeidsvoorwaarden

Standplaats:
Mekelweg, Delft, Zuid-Holland
Dienstverband:
Tijdelijk contract / Tijdelijke opdracht
Uren per week:
38 - 40 uur
Salarisindicatie:
€ 2790 - € 4402 per maand
Opleidingsniveau:
Postdoctoraal

Functieomschrijving

Timely decision making and effective maintenance scheduling of complex and critical engineering structures and infrastructures (such as bridges, wind turbines, nuclear power plant and aerostructures to name a few) are strongly dependent on the capability of detecting anomalies in the behaviour of these structures and infrastructures, estimating their remaining useful life and suggest preventive actions to restore normal conditions. To tackle these challenges, it is imperative to develop robust approaches that are capable of effectively combining information from sparse and limited measurements with physics-based models while taking into account uncertainties arising from operational and environmental loadings, measurements, mathematical models, and spatial and temporal variability caused by ageing and degradation phenomena.

This 2-year research post focuses on addressing fundamental research questions related to computational and operational challenges that continue to emerge at the interface of uncertainty quantification, machine learning and physics-based modelling for enabling robust decision making on critical structures during operating conditions.

Department
As a Postdoctoral researcher, you will be part of the Mechanics and Physics of Structures group, a section of the Department of Engineering Structures at the Faculty of Civil Engineering and Geosciences at TU Delft. We are a young and enthusiastic group, whose members are internationally recognized in their respective fields. Our scientific aim is to develop new physical insights and know-how in the field of mechanics and physics of structures by using a strongly interdisciplinary approach. As a team, we actively seek to collaborate with other sections within the Department of Engineering Structures, throughout the faculty and TU Delft as a whole, and with other scientific and industrial partners in the Netherlands and around the world.

Functie-eisen

We are specifically looking for candidates with experience in Uncertainty Quantification (UQ) and Machine Learning (ML) approaches, with strong interest in the intersection of advanced UQ and ML methods and their applications to Structural Health Monitoring and Design Optimization of engineering structures by exploiting the underlying physical principles.

Interested candidates must have:

  • A PhD in Engineering or Computational Statistics, or Mathematics, or Computer Science.
  • A proven track record of excellence and innovation in Uncertainty Quantification and Machine Learning, and the interest to work in a highly collaborative and team-oriented environment.
  • Excellent proficiency in written and spoken English.
  • Experience in project management, supervision etc, is considered a plus.

Conditions

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.

Additional information

For more information about this vacancy, please contact Dr. Alice Cicirello, Associate Professor and Head of the Mechanics and Physics of Structures Section (a.cicirello@tudelft.nl).

For information about the application procedure, please contact Jacqueline Barnhoorn (A.P.M.Barnhoorn@tudelft.nl).