Materials Informatics Scientist

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.

Some of your 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.

Plymouth, MI

Howell, MI

Hybrid Work

Chem-Trend Limited Partnership

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.

Materials Informatics Scientist

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.