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Materials Informatics Scientist

Freudenberg GroupHowell, MI

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Overview

Schedule
Full-time
Career level
Senior-level
Remote
On-site

Job Description

Working at Freudenberg: We will wow your world!

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.

Chem-Trend Limited Partnership

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FAQs About Materials Informatics Scientist Jobs at Freudenberg Group

What is the work location for this position at Freudenberg Group?
This job at Freudenberg Group is located in Howell, MI, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Freudenberg Group?
Employer has not shared pay details for this role.
What employment applies to this position at Freudenberg Group?
Freudenberg Group lists this role as a Full-time position.
What experience level is required for this role at Freudenberg Group?
Freudenberg Group is looking for a candidate with "Senior-level" experience level.
What is the process to apply for this position at Freudenberg Group?
You can apply for this role at Freudenberg Group either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.