Chargé.e de projet R&I Modélisation Matériaux — Richemont
CHF 83'000 - 126'000
Richemont · Delémont (JU)
- Location
- Delémont
- Contract
- full-time
- Posted
- 48 days ago
SalaryCHF 83'000 - 126'000
Role overview
Reference code: JR128256 Richemont owns some of the world’s leading luxury goods Maisons, with particular strengths in jewellery, fine watches and premium accessories.
Each Maison represents a proud tradition of style, quality and craftsmanship and Richemont seeks to preserve the heritage and identity of each of its Maisons.
At the same time, we are committed to innovation and designing new products which are in keeping with our Maisons’ values, through a process of continuous creativity.
- Reference code: JR128256 Richemont owns some of the world’s leading luxury goods Maisons, with particular strengths in jewellery, fine watches and premium accessories.
- Each Maison represents a proud tradition of style, quality and craftsmanship and Richemont seeks to preserve the heritage and identity of each of its Maisons.
- Vos principales responsabilités incluront : Proposer des techniques de caractérisation pertinentes selon les cas d’usage et les valider expérimentalement.
- Master's degree in materials science with strong data science skills. A PhD is an asset.
- First experience of 2 to 3 years in a similar role, in industrial or academic research.
Main responsibilities
- Vos principales responsabilités incluront : Proposer des techniques de caractérisation pertinentes selon les cas d’usage et les valider expérimentalement.
Key requirements
- Master's degree in materials science with strong data science skills. A PhD is an asset.
- First experience of 2 to 3 years in a similar role, in industrial or academic research.
- A junior profile with relevant experience (stages, projects, thesis) in the mentioned fields will also be considered.
- Strong skills in materials science (crystallography, metallurgy) and ideally in geology, mineralogy or gemmology.
- Deep knowledge of physico-chemical characterization techniques.
- Excellent mastery of digital tools for data processing and modeling, in particular Python libraries.
- Analytical, synthetic, and problem-solving spirit.
Contacts
- Basé·e principalement à Glovelier, vous aurez également l’opportunité de côtoyer des collègues d’autres secteurs de recherche au sein de notre hub situé à Microcity, Neuchâtel.
