Semiconductor Material Science Research Scientist

On-site in London·Added 17 days ago

Google

168 open roles

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Overview

Requirements

Work on-site in London
No relocation package mentioned.

Skills

Python

Nice to have

Requirements

What we're looking for

PhD in Computational Materials Science, Solid-State Chemistry, Condensed Matter Physics, a related field, or equivalent practical experience.
Technical experience in first-principles simulation methods (e.g., DFT and DFPT - Density Functional Perturbation Theory).
Programming experience (e.g., Python) for workflow management, data analysis, and tool automation.
Industry or experience using computational packages like VASP, Quantum ESPRESSO, or similar.

Nice to have

Experience in developing or applying machine learning models for materials property prediction.
Experience with high-throughput computational workflows and running simulations on HPC or cloud infrastructure.
Familiarity with molecular dynamics (MD) packages like LAMMPS.
A track record of bridging the gap between computational prediction and experimental discovery.

The role

Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.

We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.

What you'll do

Execute and analyze advanced computational simulations (e.g., DFT, DFPT, MD) with a strong focus on predicting key properties for semiconductors, such as band gaps, defect levels, leakage currents, dielectric constants, and interfacial properties.
Apply deep physical and chemical intuition to problems in semiconductor materials discovery, particularly understanding structure-property relationships at the atomic scale and at interfaces with semiconductors.
Bridge the gap between theory and reality by using computational tools to identify semiconductor materials and working with experimentalists to synthesize them in the lab.

Hiring process

4 steps3 interviewsa task to do6–8 weeks in all

Apply online
Assessments
Online test · Not every role
You may be asked to take the Google Hiring Assessment (workstyle skills) and, for some roles, role-related assessments such as a coding exercise.
Recruiter conversations
With a recruiter · Phone call · 1–2 sessions
One or two shorter conversations assessing key skills, sharing information about the organisation and team, and asking about your preferences such as location.
Project work
In your own time · Not every role
For some roles, a small project before interviews: a case study, writing or code samples.
Interviews
With a rotating cast of Googlers
A panel of structured interviews, over video or in person, with a rotating cast of Googlers; open-ended role-related questions scored against the same rubric for every candidate, no brainteasers.
Decision and offer · With a recruiter

Structured interviews: every candidate for a role is scored against the same rubric; no brainteasers.
AI tools are not permitted during interviews.
For some roles, pre-selected interviews happen virtually before final interviews onsite.