Intern - AI-Driven Materials Discovery

About our group:

The Data Storage and Memory Devices Group within the Seagate Research Group (SRG) is primarily responsible for performing experiments and simulations to guide the design the future of hard-disk drive based, and other, advanced data storage and memory technologies.

The work performed by this team directly informs the Company’s product roadmaps. Experiments involve electrical testing of state-of-the-art hard disk drive and memory systems to explore critical recording physics phenomena. Modeling and simulation are used to evaluate designs up to 10 years in the future, as well as elucidate experimentally observed phenomena. Machine learning models are also being developed to predict product reliability and inform future materials and design directions.

About the role - you will:

• Use materials science experience to innovate novel magnetic, plasmonic, electronic, and photonic nanomaterials
• Develop state-of-the-art AI/ML and data science solutions to solve/optimize technical problems in materials discovery or other advanced technology areas
• Explore the literature to propose novel materials or machine learning architectures
• Utilize big data analytics tools and apply analytical techniques for data retrieval, preparation, and discovery
• Involve advanced analytics projects and take part in the data science project journey from solution development to deployment
• Implement data science algorithm and utilize big data advanced analytics platform to create applications for stakeholders
• Work with materials processing teams to translate predictions to product

About you:

• Passionate about materials science and data science
• Self-motivated, independent, and a team player with strong communication and interpersonal skills
• Innovative with a growth mindset, willing to learn new concepts and comfortable working outside your comfort zone

Your experience includes:

• Knowledge of fundamental materials science concepts
• Programming experience in Python
• Good understanding and experience in machine learning and deep learning, e.g., DNN, CNN, Transformer, Reinforcement Learning, Active Learning, GAN, etc.
• Pursuing a PhD degree in Materials Science, Chemistry, Physics, Computer Engineering, Electrical engineering, Computer Science, Data Science, Math, or other related areas. Must be enrolled in Fall 2025 classes.

Location:

Our Normandale campus spans two suburbs, Edina and Bloomington, and serves as the Recording Head development and manufacturing arm of Seagate. Located in the heart of a bustling community, Seagate offers an on-site café, or if you prefer, you can drive to one of many restaurants just minutes away. Need to grab a gift over lunch time? Shopping is abundant in the area. If working out is your thing, the on-site fully equipped fitness center hosts wellness programs, outdoor activities, tournaments and group workouts. Looking for something more laid back? Reset in one of our meditation rooms, or simply take a walk around our indoor walking path. On-site cultural festivals, celebrations and community volunteer opportunities also abound. #internship 

Location: Normandale, United States
Travel: None