Materials Informatics Scientist at Freudenberg Group

Job Summary 

Serve as the Freudenberg Group's subject matter expert in generative AI and physics-informed machine learning for product, formulation, material/process discovery and design. Responsible to develop advanced data-driven and physics-based models and interface the two to guide and accelerate the development of products, materials and processes for sustainable solutions and new mobility applications. 

Essential Duties and 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.

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.

Education and/or Experience:

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.

Location: Plymouth, MI

Hybrid working environment

Please watch the videos below for more information on Freudenberg Group

Freudenberg - True to our Roots | Video about Freudenberg's history (youtube.com)

Freudenberg Corporate Movie English (youtube.com)

If you believe, you have the necessary qualifications for the role above, please send your resume to me at vishwanath.hegadekatte@fnacc.com