PhD position in the context of “Data-driven Multi-scale Optimisation for Additive Manufacturing of fatigue resistant shock-absorbing MetaMaterials”, CM3, Liège


Context

As part of a collaborative FET-Open H2020 project between different universities and a SME, there exist open PhD and Post-Doc positions is the context of

  • Experimental characterisation of SLS printed structures ;
  • Models development of SLS process and constitutive behaviours
  • Developments of homogenisation methods and surrogate models (e.g. machine learning etc.)

Opportunity
One PhD position is opened and consists in renewable periods of 12 months for a total duration of up to 48 months. Co-supervisions between the different partnersare scheduled.

Profile
The candidate should have a master degree in sciences or engineering with solid knowledge of physics, mechanics, and numerical methods. Good programming skills are required for the model-oriented PhD positions.

Application
Interested candidates are encouraged to apply by sending

  • a CV with a list of up to 3 references ;
  • a short statement (maximum of one page) describing past experience and research interests ;
  • a transcript of the school grades ;
  • their research topic interest.

to Prof. Javier Segurado Escudero (javier.segurado@imdea.org), Prof. Issam Doghri (issam.doghri@uclouvain.be), Prof. Zoltan Major (Zoltan.Major@jku.at), Prof. L. Noels (L.Noels@ulg.ac.be), and Mr. Thomas Lück (lueck@cirp.de) by email.

Subject

www.ltas-cm3.ulg.ac.bel