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- Tasks: Drive AI-powered material discovery using computational physics and machine learning.
- Company: Leading technology research firm in the UK with a focus on innovation.
- Benefits: Dynamic work environment, collaboration with experts, and opportunities for scientific breakthroughs.
- Why this job: Be at the forefront of material science and make impactful discoveries.
- Qualifications: Ph.D. in a relevant field and experience with atomistic simulations and machine learning.
- Other info: Interdisciplinary team with a passion for pushing scientific boundaries.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology research firm in the UK seeks an AI & Materials Researcher to drive AI-powered material discovery. This role involves leveraging computational physics and machine learning to identify novel materials and work collaboratively with experimentalists.
The ideal candidate holds a Ph.D. in a relevant field and has experience with atomistic simulations and machine learning frameworks like PyTorch.
This position offers a dynamic and interdisciplinary environment focused on scientific breakthrough.
AI-Driven Materials Scientist for End-to-End Discovery employer: DeepMind Technologies Limited
Contact Detail:
DeepMind Technologies Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI-Driven Materials Scientist for End-to-End Discovery
✨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.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your projects involving atomistic simulations and machine learning. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with PyTorch and how you've applied it in real-world scenarios. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace AI-Driven Materials Scientist for End-to-End Discovery
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with atomistic simulations and machine learning frameworks like PyTorch. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI-driven material discovery and how your Ph.D. has prepared you for this role. Let us know what excites you about working in a dynamic, interdisciplinary environment.
Showcase Collaborative Experience: Since this role involves working closely with experimentalists, highlight any past experiences where you collaborated on research projects. We love to see teamwork in action, so share specific examples that demonstrate your ability to work well with others.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at DeepMind Technologies Limited
✨Know Your Stuff
Make sure you brush up on your knowledge of computational physics and machine learning frameworks like PyTorch. Be ready to discuss specific projects or research you've done that involved these technologies, as it shows you're not just familiar with them but have practical experience.
✨Show Your Collaborative Spirit
Since this role involves working closely with experimentalists, be prepared to talk about your teamwork experiences. Share examples of how you've successfully collaborated in interdisciplinary teams, highlighting your communication skills and adaptability.
✨Prepare for Technical Questions
Expect some technical questions related to atomistic simulations and AI-driven material discovery. Brush up on key concepts and be ready to solve problems on the spot. Practising with mock interviews can help you feel more confident.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask thoughtful questions about the company’s current projects or future directions in AI and materials research. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
