Working at Freudenberg: We will wow your world!

Responsibilities:

• Implement and fine-tune state-of-the-art Large Language Models for various material, product and process design applications, focusing on performance and accuracy.
• Implement Retrieval-Augmented Generation (RAG), LLM agents etc. to enhance the capabilities of Large Language Models.
• Lead the incubation of new initiatives, architect scalable solutions, and drive strategic technology choices to develop and deliver LLM enhanced materials informatics capabilities
• 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.
• Stay up to date on the latest advancements in machine learning, particularly in LLMs, LLM agents, and large-scale neural network training, materials informatics and related fields.
• 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, physics, mechanical engineering, or related fields.
• Minimum 5 years of experience in computational methods (Ab Initio / MD / FEA / CFD / Multi scale / Multi physics / cheminformatics / materials informatics) for material or product design optimization (e.g., Bayesian optimization), either in industry or academia.
• Prior relevant industrial experience is preferred.
• Experience with Generative AI, AI/ML tools for accelerating physics-based simulations. 
• Develop scalable Generative AI solution frameworks and exposure to deployment strategies
• Experience with integrating Generative AI tools such as OpenAI’s GPT models, Meta’s Llama models, Hugging Face, etc. in material / product design solutions.
• Experience with applying Generative AI for extracting data from patents, publications, reports and data sheets.
• Proficiency in programming languages like Python, Julia, C/C++, and familiarity with SQL, MySQL, MongoDB, Flask, Azure, or other cloud technologies.
• Knowledge of quantum computing a plus.
• Strong knowledge of materials science principles and properties.
• Experience with machine learning algorithms and data analysis techniques.
• Excellent communication and written skills.
• Ability to work independently and as part of a team.

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.