Materials Informatics Scientist

Freudenberg • Plymouth, MI

17h

About The Position

This role focuses on leveraging generative AI and physics-informed machine learning to drive innovation in product, formulation, and material/process discovery and design. The scientist will develop advanced data-driven and physics-based models to accelerate the development of sustainable solutions and new mobility applications. Key activities include analyzing materials data, proposing and executing project concepts, collaborating on experimental campaigns, identifying promising materials, and working with diverse experts to create high-impact solutions. The role also involves communicating findings to various audiences, including C-level executives, and collaborating with international researchers and specialists.

Requirements

• PhD or equivalent experience in materials science, chemistry, chemical engineering, data science, computer science, physics, mechanical engineering, or a related field.
• Minimum 3+ years of experience in computational methods for material and product design, either in industry or academia.
• Strong knowledge of materials science fundamentals, including structure-property relationships, materials characterization, and the principles governing material properties and behavior.
• Experience with cheminformatics, materials informatics, Generative AI, ML tools for accelerating multiscale and multiphysics simulations.
• Proficiency in programming languages like Python, Julia, C/C++.
• Familiarity with SQL, MySQL, MongoDB, Flask, Azure, or other cloud technologies.
• Ability to work independently and as part of a team.
• Strong communication and stakeholder engagement skills.
• Excellent analytical, problem/situation analysis, and critical thinking skills.
• Ability to manage multiple projects and meet deadlines in a fast-paced, globally matrixed environment.

Nice To Haves

• International outlook and willingness to travel as a plus.

Responsibilities

• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree