Materials Informatics Scientist

Chem-Trend; Plymouth (MI); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

401K Match

Diversity & Inclusion

Health Insurance

Vacation

Personal Development

Job summary

Chem-Trend, a Freudenberg Group company, is seeking a Materials Informatics Scientist to lead generative AI and physics-informed ML for product and material discovery, design, and processes supporting sustainable mobility. You will develop data-driven and physics-based models, analyze materials data, and collaborate across global teams, presenting results to technical and non-technical audiences.

PhD plus 3+ years in related fields, strong programming skills (Python, Julia, C/C++, SQL), and

Qualifications

• PhD or equivalent in a relevant field.
• Minimum 3+ years of experience in computational methods for material and product design.
• Experience with cheminformatics and materials informatics; Generative AI and ML tools.

Responsibilities

• Leads activities in generative AI and physics-informed ML for product, formulation, material/process discovery and design.
• Develop advanced data-driven and physics-based models for sustainable solutions and new mobility applications.
• Analyze and interpret materials data using advanced statistical and data mining techniques.
• Plan experimental campaigns for model development, validation and deployment with Freudenberg groups.
• Identify and prioritize promising materials candidates for further investigation.
• Collaborate with experts across locations to develop high-impact solutions.
• Communicate results through reports and presentations to technical and non-technical audiences, including C-level.
• Collaborates with industry/academic specialists to apply results and develop new techniques.

Education

PhD or equivalent experience in materials science, chemistry, chemical engineering, data science, computer science, physics, mechanical engineering, or a related field

Tools

Python

Julia

C/C++

SQL

MySQL

MongoDB

Flask

Azure

Job description

Chem-Trend, a company of the Freudenberg Group, is a global leader in the development, manufacture, and marketing of specialized release agents, purging compounds, paper impregnation chemicals, and other process chemical specialties and additives, with manufacturing and R & D operations in North and South America, Europe, India, and Asia that are supported by its headquarters in Michigan, USA. Chem-Trend has a singular focus of providing innovative solutions for the die casting, polyurethane, rubber, composites, tire, thermoplastic, wood composite, and paper impregnation industries.

Benefits

• 401K Match: Save for retirement with the company's help.
• Diversity & Inclusion: We focus on providing an inclusive environment and recognize our diversity contributes to our success.
• Health Insurance: Rely on comprehensive services whenever you need it.
• Vacation: We offer time off to refresh and recharge.
• Personal Development: We offer a variety of trainings to ensure you can develop in your career.

Locations

• Plymouth, MI
• Howell, MI
• Hybrid Work
• Chem-Trend Limited Partnership

Materials Informatics Scientist

Serve as a 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.

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.

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.

The Freudenberg Group is an equal opportunity employer that is committed to diversity and inclusion. Employment opportunities are available to all applicants and associates without regard to race, color, religion, creed, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity or expression, national origin, ancestry, age, mental or physical disability, genetic information, marital status, familial status, sexual orientation, protected military or veteran status, or any other characteristic protected by applicable law.