AI-Driven Materials Scientist for Next‑Gen Discovery

Freudenberg Group; Howell (MI); On-site; USD 95,000 - 150,000; Full time

Job summary

Freudenberg Group in Howell, MI invites a researcher to lead generative AI and physics-informed machine learning for product and materials design. You will develop data-driven and physics-based models to accelerate sustainable solutions and mobility-related developments.

Collaborate with materials scientists, engineers and researchers worldwide; translate complex results for technical and non-technical audiences; travel internationally as needed.

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.
• Excellent analytical, problem/situation analysis, and critical thinking skills
• Ability to manage multiple projects and meet deadlines in a fast-paced, globally matrixed environment.

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.

Skills

Communication

Independent work

Team collaboration

Analytical thinking

Education

PhD or equivalent in materials science/related

Tools

Python

Julia

C/C++

SQL

MySQL

MongoDB

Flask

Azure

Job description

Freudenberg Group in Howell, MI invites a researcher to lead generative AI and physics-informed machine learning for product and materials design. You will develop data-driven and physics-based models to accelerate sustainable solutions and mobility-related developments.

Collaborate with materials scientists, engineers and researchers worldwide; translate complex results for technical and non-technical audiences; travel internationally as needed.