How to apply
Follow the link https://recrutement.inria.fr/public/classic/en/offres/2022-05122 to apply.
A wide range of valuable applications use extrusion 3D printing. However, extrusion-based 3D printing poses significant challenges when operating with paste-like materials (e.g., ceramics, silicone), even when manufacturing on a small scale . The deposition paths have to take into account gravity to prevent the structure from collapsing during fabrication, and deposition paths should be as continuous as possible to minimize the interruptions of the extrusion flow .
The Ph.D. student will focus on the study of novel path planning algorithms for extrusion-based 3D printing technologies. In addition, the student will be fully involved in the experimental printing and testing of structures. Most of the conducted research will involve the accurate formulation of the path planning problem, the study and development of efficient and tailored algorithms, and the 3D printing and final verification of the printed structures. The major competencies sought for the doctoral student are:
- Background in computer science or related field.
- Motivation to work on problems at the intersection of computer science and additive manufacturing that involve getting hands-on with 3D printing experimentation
- Good level of English Additional experience in 3D printing and computational geometry will be considered an asset.
- Location: INRIA Nancy - Grand Est
- Duration: 3 years
- Starting date: 1st September 2022
- Applications to be sent as soon as possible
- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
- Possibility of teleworking (after six months of employment) and flexible organization of working hours
- Professional equipment available (videoconferencing, loan of computer equipment, etc.)
- Social, cultural and sports events and activities
- Access to vocational training
- Social security coverage
-  Wolf, A., Rosendahl, P. L. & Knaack, U. Additive manufacturing of clay and ceramic building components. Automation in Construction 133, 103956 (2022).
-  Hergel, J., Hinz, K., Lefebvre, S. & Thomaszewski, B. Extrusion-based ceramics printing with strictly-continuous deposition.