France, Auvergne-Rhône-Alpes, Voreppe
November 22nd, 2022
C-TEC is Constellium’s Technology Center, a leader in research and technology for aluminum products and related solutions. Its vision is to be our customers’ premier choice for innovative, next generation aluminum solutions in all the markets that Constellium serves.C-TEC offers a highly sophisticated operating environment with access to best in class technologies, a good network of tight relationships with selected universities world-wide and a uniquely diverse population with around 16 nationalities represented. Ultimately, C-TEC is a global center of excellence and thought leadership, where we create the future by developing leading aluminum-based solutions. It is at the heart of a network that connects the various Constellium businesses worldwide as well as their customers.
As a key member of Constellium’s Metallurgy R&T teams in Europe and the USA, contribute to the development and industrialization of sustainable aluminum alloys/solutions for implementation in next generation applications in Constellium’s key markets (Aerospace, Automotive, Packaging). To this end, the jobholder will be expected to maintain and develop kinetic models describing the state of precipitation of aluminum alloys during their transformation processes and develop strengthening models based on the simulated microstructure.
Through these modeling activities, the jobholder will contribute to the project teams designing new alloys and processes, and will follow virtual and experimental plans aimed at meeting property and recyclability targets defined with our customers. In particular, they will support the teams in using metallurgical models, giving first estimations of metallurgical options, and interpreting the data generated experimentally (lab scale, industrial trials, ramp-up) and through modelling. The recommended solutions will typically be innovative but take advantage of Constellium industrial assets. Comparison of virtual and experimental data will also be used to improve and continuously update the metallurgical models.
The position will involve working in a multi-disciplinary and multi-cultural Research & Technology project team, and in direct connection with Constellium Business Units (Packaging & Automotive Rolled Products plants or Aerospace & Transportation).
- EHS and security
- Contribute to the zero accident policy of C-TEC by leading by example and taking all the appropriate actions to ensure work is performed in total safety (full compliance to all EHS rules, LSTs, incident / near miss reporting etc…);
- Contribute to Constellium’s environmental objectives via alloy design (particularly recyclability) and process optimizations;
- Reinforce security mind-set (by e.g. performing security audits, etc…).
- Technical and Metallurgy:
- Design and provide project teams with innovative metallurgical models based on CALPHAD approaches (classical equilibrium thermodynamics), kinetic models (nucleation, growth & coarsening) and strengthening models (interaction of dislocations with atoms in solid solution and precipitates size ranging from the nanometres to the micrometres). Most of the models are expected to be “physically based”, which will require a thorough understanding of the relevant scientific literature and Constellium’s internal knowledge. This approach will be complemented by machine learning approaches when the physical mechanisms involved are not sufficiently known.
- Contribute to the definition, through modelling, of the transformation schedule necessary to achieve the property targets;
- Suggest experiments based on C-TEC prototyping capabilities or industrial processing to test simulated options and to demonstrate innovative options;
- Provide help to gather results and interpret data, and make appropriate/solid recommendations to the R&T team, BU plants and sometimes external customers;
- Share the knowledge thus acquired through clear and high quality reporting;
- Help to file patents when possible and relevant;
- Continuously increase personal metallurgical skills through national and international networking.
A PhD in Materials Science / Modeling is necessary with a strong knowledge of the theory of phase diagrams, theory of phase transformation kinetics and theory of strengthening in metallic alloys.
The candidate should master programming languages such as: Python (numpy, pandas, keras, tensorflow) and C++ in Windows/Linux environments.
Knowledge and experience of machine learning/deep learning approaches and/or the Kinetic Monte Carlo method are a plus.
The candidate will ideally have at least 5 years’ experience in thermo-kinetic modelling with :
- An ability to work in a multicultural environment, demonstrated for example through a period of training or professional experience acquired outside their native country.
- Data analysis (databases, statistics) skills
- An interest for industrial challenges and focused on achieving tangible results.
- Rigor, perseverance, speed; proactivity to enable decision making.