Material Scientist (Graduate Program)

About our group:

Seagate Research Group (SRG) conducts research to transform Seagate’s considerable technical expertise, innovation, and manufacturing excellence to develop innovative technologies for the rapidly growing datasphere.
SRG’s Software and Applied AI Research section conducts research in applying Machine Learning for Seagate advance project, products, and processes which includes material discovery, AI assisted design for the next generation HAMR technologies.
For designing our next generation HAMR HDD, we employ State-of-the-Art ML methods for Simulation and Model with Physics Informed ML Models. We also leverage AI/Generative AI to assist in design of HDD Components. Further we are exploring new frontiers in Material Discovery for our HDD media/other components. This research will imbibe our HDD media/components with advantageous and unique magnetic properties that will help us to achieve higher data areal densities and IO performance

About the role - you will:

• Material Research: Conduct in-depth research on existing and emerging materials, identifying potential applications, and exploring new avenues for discovery.
• AIML Model Development: Develop and implement AIML models to predict material properties, optimize synthesis processes and accelerate discovery cycles.
• Data Analysis and Visualization: Use AIML techniques to analyze large datasets, identify patterns, and extract meaningful insights from material characterization data.
• Material Synthesis and Characterization: Collaborate with our Design Engineer and Other Material Scientist to design and conduct material synthesis and characterization experiments, providing guidance and analysis.
• Intellectual Property: Contribute to the development and protection of intellectual property related to material discoveries and AIML applications.
• Publication: Prepare and submit scientific publications and patent applications to disseminate research findings and advance the field.

About you:

• Willingness to learn how to use open-source or proprietary modeling platform.
• Excellent problem-solving and critical thinking skills.
• Ability to carry out independent and collaborative research in a diverse research team.
• Strong communication and interpersonal skills, including the ability to collaborate effectively with interdisciplinary teams.
• Passion for innovation and a drive to make a significant impact in the field of materials science using AIML.

Your experience includes:

• PhD/Master in Materials Science, Chemistry, Physics, Mathematics or a related field with a focus on AIML.
• In-Depth understanding of DFT its ability to predict material properties and how to overcome its limitation with ML.
• Experience with molecular dynamics simulations and related computational techniques.
• Experience in theoretical computations, machine learning, big data analysis.
• Experience with programming (Python, PyTorch/TensorFlow, C++, etc)

Location:

The Shugart site (named after Seagate’s founder, Al Shugart) is a research and design center. Easily accessible from the One-North MRT Station, many employees choose to take mass transportation to work. Being a purpose-built building, The Shugart has excellent employee recreational facilities. Take an active break at our badminton courts, table tennis tables, in-house gym, and recreation rooms. Our yoga and Zumba classes are very popular. We also offer classes and interest groups in photography, gardening, and foreign languages, and have various on-site celebrations, and community volunteer opportunities

Location: Shugart, Singapore
Travel: None