Semiconductor Material Science Research Scientist, DeepMind

Requirements:

• PhD in Computational Materials Science, Solid-State Chemistry, Condensed Matter Physics, a related field, or equivalent practical experience.
• 2 years of experience leading a research agenda.

Nice to haves:

• Experience in developing or applying machine learning models for materials property prediction.
• A track record of bridging the gap between computational prediction and experimental discovery.

What you'll be doing:

• Execute and analyze advanced computational simulations with a focus on predicting key properties for semiconductors.
• Apply deep physical and chemical intuition to problems in semiconductor materials discovery.
• Bridge the gap between theory and reality by using computational tools to identify semiconductor materials.

Perks and benefits:

• Opportunity to work at Google DeepMind, a pioneering AI lab.
• Diverse learning opportunities and varied career pathways.
• Focus on safety and ethics in AI development.