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- Tasks: Join a team accelerating scientific discovery through AI in materials design.
- Company: Microsoft Research, a leader in innovative technology and scientific advancement.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Make a real-world impact by bridging AI and experimental science.
- Qualifications: PhD in relevant field or equivalent experience; strong coding skills in Python.
- Other info: Collaborative environment with diverse teams and ongoing learning opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Microsoft Research AI for Science is seeking a talented applied scientist to join our mission of accelerating scientific discovery through AI. In the materials team, we are building next generation foundational AI capabilities to accelerate the design of novel materials. This role is an exceptional opportunity to bring our foundational AI capabilities towards real-world impact. You will work closely with experimental partners and apply our foundational AI models towards solving materials design problems. You will work with a highly collaborative, interdisciplinary, and diverse global team of researchers and engineers to bridge the gap between computation and experiments.
Our culture is centered on embracing a growth mindset and encouraging teams and leaders to bring their best each day. Join us and help shape the future of the world.
Responsibilities
- Work closely with experimental partners and translate foundational AI capabilities towards real-world impact.
- Develop computational workflows to simulate properties relevant to the experimental partners.
- Collaborate with experimental partners to validate computationally designed materials candidates in laboratories.
- Learn to interpret experimental data and translate them to actionable insights for model development.
- Prepare technical papers, presentations, and open-source releases of research code.
Qualifications
Required qualifications:
- PhD in computational materials science, condensed matter physics, or related area, or comparable industry experience.
- Experience in developing computational workflows to solve problems relevant to experimental materials discovery.
- Proficiency in collaborative code development in Python on shared codebases.
- Publication track record in relevant academic journals (npj computational materials, Nature Materials, PRB, PRL, etc.).
- Ability to work in an interdisciplinary collaborative environment, through effective communication of technical concepts to non-experts from different technical backgrounds.
Preferred qualifications:
- Strong expertise in developing density functional theory workflows for solving real-world experimental problems.
- Experience in deeply collaborating with experimental groups and applying computational materials design approaches to discover novel materials.
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Senior Applied Scientist in Materials - AI for Science in Cambridge employer: Microsoft Corporation
Contact Detail:
Microsoft Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied Scientist in Materials - AI for Science in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those at Microsoft or in similar roles. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your past projects and how they relate to the role. This is your chance to shine and demonstrate your real-world impact.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by doing mock sessions with friends or mentors. Focus on explaining complex concepts in simple terms, just like you would to non-experts.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our mission at Microsoft Research AI for Science.
We think you need these skills to ace Senior Applied Scientist in Materials - AI for Science in Cambridge
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your PhD and any relevant experience in computational materials science. We want to see how your background aligns with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention how your experience with AI and materials design can contribute to our mission at Microsoft Research. It’ll make your application stand out!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that communicate your ideas effectively. Remember, less is often more!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Microsoft Corporation
✨Know Your Stuff
Make sure you brush up on your knowledge of computational materials science and AI applications. Familiarise yourself with the latest research, especially in areas like density functional theory and how it relates to experimental materials discovery. This will help you speak confidently about your expertise and how it aligns with the role.
✨Show Your Collaborative Spirit
Since this role involves working closely with experimental partners, be ready to discuss your past experiences in interdisciplinary teams. Share specific examples of how you've effectively communicated complex technical concepts to non-experts, as this will demonstrate your ability to bridge the gap between computation and experiments.
✨Prepare for Technical Questions
Expect to face technical questions related to developing computational workflows and validating materials candidates. Review your previous projects and be prepared to explain your thought process, methodologies, and any challenges you faced. This will showcase your problem-solving skills and practical experience.
✨Bring Your Research to Life
Be ready to discuss your publication track record and any open-source contributions you've made. Highlight how your research has real-world implications, particularly in the context of materials design. This will not only show your expertise but also your commitment to advancing the field through collaboration and innovation.
