Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Use AI to discover new materials and design innovative machine learning models.
- Company: Leading AI research organisation in the UK with a focus on diversity.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make a real impact in materials science.
- Qualifications: Ph.D. in relevant field and experience with simulation tools.
- Other info: Fast-paced environment with a commitment to equal employment opportunity.
The predicted salary is between 36000 - 60000 £ per year.
A leading AI research organization in the UK seeks an AI & Materials Researcher to advance the discovery of new functional materials. This role integrates computational physics and machine learning, requiring a Ph.D. and experience with simulation tools.
Key responsibilities include:
- Leveraging AI for material identification
- Designing machine learning models
- Collaborating in a fast-paced environment
The organization values diversity and is committed to equal employment opportunity.
AI-Driven Materials Discovery Scientist employer: Google DeepMind
Contact Detail:
Google DeepMind Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI-Driven Materials Discovery Scientist
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and materials science fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show your passion.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects involving computational physics and machine learning. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI and materials discovery, and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI-Driven Materials Discovery Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with computational physics and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI-driven materials discovery and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Collaboration Skills: Since we thrive in a fast-paced environment, it’s important to demonstrate your ability to work well with others. Share examples of past collaborations or teamwork that highlight your communication and problem-solving skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Google DeepMind
✨Know Your Stuff
Make sure you brush up on your knowledge of computational physics and machine learning. Be ready to discuss specific simulation tools you've used in the past and how they relate to the role. This shows you're not just familiar with the concepts but have practical experience.
✨Showcase Your AI Skills
Prepare examples of how you've leveraged AI in previous projects, especially in material identification. Think about the challenges you faced and how you overcame them. This will demonstrate your problem-solving skills and your ability to apply theoretical knowledge in real-world scenarios.
✨Collaboration is Key
Since the role involves working in a fast-paced environment, be ready to talk about your experience collaborating with others. Share specific instances where teamwork led to successful outcomes, highlighting your communication skills and adaptability.
✨Embrace Diversity
The organisation values diversity, so it’s important to express your commitment to inclusivity. Think about how diverse perspectives can enhance research and innovation, and be prepared to discuss how you’ve contributed to a diverse work environment in the past.
