Materials Informatics Scientist

Lead 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 internal and external experts to develop high business impact solutions
Communicate results through reports and presentations to technical and non-technical audiences, including C level
Collaborate with materials scientists, engineers, and researchers across geographic locations
Collaborate with industry or academic specialists to apply research results and develop new techniques

• 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

Demonstrates expertise in generative AI and physics-informed machine learning for product and material development, with strong analytical skills in data interpretation and modeling. Proficient in collaborating with cross-functional teams and communicating complex results to diverse audiences.

• PhD In Materials Science
• Generative AI
• Materials Informatics
• Python Programming
• Computational Methods For Material Design

• Data Mining Techniques
• Statistical Analysis
• Materials Characterization
• Structure-Property Relationships
• Multiscale Simulations
• Multiphysics Simulations
• Cheminformatics
• Critical Thinking
• Project Management
• Problem Analysis

• Strong Communication Skills
• Stakeholder Engagement
• Team Collaboration
• Independent Work
• Analytical Thinking

• Materials Science
• Chemical Engineering
• Data Science
• Physics
• Mechanical Engineering
• Sustainable Solutions
• New Mobility Applications
• Experimental Campaigns
• Technical Presentations
• Global Collaboration

• Python
• Julia
• C/C++
• SQL
• MySQL
• MongoDB
• Flask
• Azure
• Cloud Technologies
• Machine Learning Tools