Materials Informatics Scientist: AI-Driven Discovery

Freudenberg; Plymouth (MI); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Freudenberg is seeking a seasoned researcher to lead activities in generative AI and physics-informed machine learning for product and material design. You will develop models to accelerate composition, process, and mobility innovations.

Collaborate with materials scientists, engineers, and external partners, communicate results to diverse audiences including C-level, and travel internationally as needed. A PhD with 3+ years in relevant fields is required.

Qualifications

• 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++, and 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.
• International outlook and willingness to travel as a plus.

Responsibilities

• Lead activities in generative AI and physics-informed ML for product, formulation, material/process discovery and design.
• Develop advanced data-driven and physics-based models to guide and accelerate 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.

Skills

Generative AI

Materials informatics

Data analysis

Communication

Education

PhD or equivalent in related field

Tools

Python

Julia

C/C++

SQL

MySQL

MongoDB

Flask

Azure

Job description

Freudenberg is seeking a seasoned researcher to lead activities in generative AI and physics-informed machine learning for product and material design. You will develop models to accelerate composition, process, and mobility innovations.

Collaborate with materials scientists, engineers, and external partners, communicate results to diverse audiences including C-level, and travel internationally as needed. A PhD with 3+ years in relevant fields is required.