We have an open PhD position to study procedural, stochastic, and fabricable microstructures, with a controlled macroscopic physical behavior. These have important applications in soft robotics, health-care, and the mechanical engineering fields, for instance for the design of deformable, lightweight and porous parts. Further details can be found here.
We are looking for a PhD candidate with, ideally, background in the field of 3D printing, computer graphics and physical simulation. The candidate should be proficient with C++, have a competent background in physics and finite element methods, and ideally some experience with 3D printing and computer graphics.
We recently have proposed and investigated novel types of microstructures to trigger controllable elastic behaviors within 3D printed objects [1,2,3] (see figures below). Following this line of research, the PhD candidate will tackle exciting algorithmic and fabrication challenges for the fast and scalable synthesis of procedural microstructures, that can be freely graded and embedded into volumes.
- Duration: 3 years.
- Starting date: 1st September 2018 (or before, if a suitable candidate is found).
- Applications to be sent as soon as possible.
How to apply
Send the following documents to (email@example.com) in a single ZIP file:
- A motivation letter describing your interest in this topic.
- Your degree certificates and transcripts for Bachelor and Master (or the last 5 years if not applicable).
- Master thesis (or equivalent) if it is already completed, or a description of the work in progress, otherwise.
- Publications, if any (it is not expected that you have any).
In addition, at least one recommendation letter from the person who supervises(d) your Master thesis (or research project or internship) should be sent. At most two other recommendation letters may be sent. The recommendation letter(s) should be sent directly by their author to firstname.lastname@example.org
 Procedural Voronoi Foams for Additive Manufacturing. Jonàs Martínez, Jérémie Dumas, Sylvain Lefebvre. SIGGRAPH 2016.
 Orthotropic k-nearest Foams for Additive Manufacturing. Jonàs Martínez, Haichuan Song, Jérémie Dumas, Sylvain Lefebvre. SIGGRAPH 2017.
 Polyhedral Voronoi diagrams for additive manufacturing. Jonàs Martínez, Samuel Hornus, Haichuan Song, Sylvain Lefebvre. Conditionally accepted to SIGGRAPH 2018.