Internship | Graduation internship at TNO – Risk & Reliability team – TNO – Delft

  • Delft


About this position

The department of Reliable Structures performs research on many types of assets such as bridges, locks, storm surge barriers, and buildings. We have teams working on civil structures, building materials, dynamics, risk and reliability. Together, we want to make the built environment more innovative, and we need your skills and ideas to achieve that!

What will be your role?

The Risk and Reliability team focuses on providing insight into risks and uncertainties in the built environment. By combining knowledge of the mechanical behavior of structures with risk and reliability analyses, it is possible to design, manage, maintain and replace structures with a risk-based approach. In our daily work we combine both physical and probabilistic (computational) models, data assimilation, statistical analysis, as well as expert judgement. Our knowledge is widely applicable: we work on projects concerning (hydraulic) structures, building, tunnels, roads, railways, cables, pipelines, and offshore structures.

In the past, our interns have worked on improving the assessment of loads on structures and buildings, performed a full probabilistic analysis of a submerged floating tunnel, and worked on reliability assessment of buildings subjected to wind loading. Furthermore, they have calibrated partial factors for Eurocode design formulas using a full probabilistic approach, performed reliability analyses of concrete stand-elements, proposed placement of monitoring sensors on bridges using the Bayesian approach, and more.

What we expect from you

Minimum requirements:

  • To follow a Master program in STEM (for example, Civil Engineering, Mechanical Engineering, Applied Physics, Applied Mathematics, Computer Science, Earth Sciences, or similar);
  • Have a strong interest in probability and statistics. You should have followed the module ‘Modelling, Uncertainty and Data for Engineers’ (CEGM) at TU Delft or a similar course;
  • Have good communication and collaboration skills;
  • Based in The Netherlands;
  • Have an excellent command of the English language.
  • Desirable:

  • Have followed a course in advanced probabilistic modelling, such as ‘Probabilistic Modelling of real-world phenomena through observations and elicitation’ (CEGM);
  • Have basic knowledge of a programming language (e.g. Python, Matlab, etc.).
  • What you’ll get in return

    You want to work on the precursor of your career; a work placement gives you an opportunity to take a good look at your prospective future employer. TNO goes a step further. It’s not just looking that interests us; you and your knowledge are essential to our innovation. That’s why we attach a great deal of value to your personal and professional development. You will, of course, be properly supervised during your work placement and be given the scope for you to get the best out of yourself. Naturally, we provide suitable work placement compensation.

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