Postdoc Composite Design with Bayesian Machine Learning

Research / Academic

This postdoctoral research aims at exploring statistical methods that enable the data-driven analysis and design of aerospace composite structures. The candidate should have a background in Statistics, Uncertainty Quantification, or Bayesian machine learning methods, and is motivated to apply these methods to solve Engineering problems. The candidate will be working in the CAELESTIS project including a team of experimentalists; therefore, interaction with these colleagues is expected. The research group hosting this candidate includes experts in simulation and machine learning methods, but it is currently lacking proficiency in Statistics and uncertainty quantification. The postdoc will be rewarded with significant independence, and is expected to help supervise one PhD student working on the topic. Additional details can be provided during the interview. There is some flexibility concerning the type of methods to explore, depending on the interests and expertise of the candidate (within reasonable bounds!).
CAELESTIS main objective is to enable the EU aircraft industry to design and manufacture disruptive aircraft structures and engines with enhanced prediction capacities (product performance and manufacturability), to widen the design space and reduce the uncertainties potentially encountered along the product and engineering lifecycle, which are currently limiting their introduction into service.


You must have the following qualifications:

  • Strong computational skills.
  • Strong background in statistics or related field.
  • A background in mechanical/aerospace/civil engineering, materials science, physics or a related area is a plus.
  • Proficiency with machine learning methods and corresponding software packages.
  • An interest in applying these methods to modeling mechanics and/or manufacturing of composites (past experience is a plus, but not required).
  • The ability to work well in a collaborative setting.

Salary Benefits:

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities (based on scale 10: €3,226.00 - €5,090.00). The contract of employment is offered for two years. The position is open for 36-40 hours per week. 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, 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.

Work Hours:

36 - 40 hours per week


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