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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: Join a cutting-edge team and contribute to groundbreaking discoveries in materials science.
- Qualifications: Ph.D. in a relevant field and experience with atomistic simulations and machine learning.
- Other info: Interdisciplinary role with potential for significant impact in the field.
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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and materials science fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about hidden job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those 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 and soft skills. Practice common interview questions related to AI and materials science, and be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! We often have exclusive listings that might not be found elsewhere. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace AI-Driven Materials Scientist for End-to-End Discovery in London
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 skills align 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 background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Research: If you’ve published any papers or worked on significant projects, make sure to mention them in your application. We love seeing concrete examples of your work and how it relates to the innovative research we do at StudySmarter.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our dynamic 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. Review key concepts and be ready to solve problems on the spot. Practising with mock interviews can help you feel more confident when tackling these questions.
✨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.
