Materials Informatics Scientist
Freudenberg North America Limited Partnership
Location
Plymouth, MI | United States
Job description
Responsibilities arrow_right
- Leads activities in generative AI and physics-informed machine learning for product, formulation, material/process discovery and design.
- Develop advanced data-driven and physics-based models to guide and accelerate the development of products, materials and processes for sustainable solutions and new mobility applications.
- Analyze and interpret materials data using advanced statistical and data mining techniques.
- Propose, execute and defend project concepts; collaborate and plan experimental campaigns for model development, validation and deployment with Freudenberg Business Groups.
- Identify and prioritize promising materials candidates for further investigation and development.
- Work with a diverse range of experts, both internal and external, for developing high business impact solutions.
- Communicate results through reports and presentations to diverse audiences (both technical and non-technical), including C level.
- Stay up to date on the latest advancements in materials informatics and related fields.
- Collaborate effectively with materials scientists, engineers, and other researchers across geographic locations.
- Collaborates with industry or academic specialists to apply the results of research and develop new techniques
- Travel Requirements: Estimated Travel 25%
Qualifications arrow_right
- PhD or equivalent experience in materials science, chemistry, chemical engineering, physics, mechanical engineering, or related fields.
- Minimum 3+ years of experience in computational methods for material and product design, either in industry or academia.
- Prior relevant industrial experience is a plus.
- Experience with cheminformatics, materials informatics, Generative AI, ML tools for accelerating multiscale and multiphysics simulations.
- Experience with applying Generative AI for extracting data from patents, publications, reports and data sheets.
- Proficiency in programming languages like Python, Julia, C/C++, and familiarity with SQL, MySQL, MongoDB, Flask, Azure, or other cloud technologies.
- Knowledge of quantum computing a plus.
- Strong knowledge of materials science principles and properties.
- Experience with machine learning algorithms and data analysis techniques.
- Excellent communication and written skills.
- Ability to work independently and as part of a team.
- Excellent English-speaking skills required.
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