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- Tasks: Design datasets for AI in materials science and validate simulation results.
- Company: Join Microsoft, a leader in technology and innovation.
- Benefits: Enjoy flexible work options, competitive pay, and a vibrant workplace culture.
- Why this job: Be at the forefront of AI and materials research with a collaborative team.
- Qualifications: PhD or equivalent experience in relevant fields; strong coding skills in Python required.
- Other info: Microsoft values diversity and offers support for applicants with disabilities.
The predicted salary is between 43200 - 72000 £ per year.
Responsibilities
- Design and generate novel datasets for training deep learning models for materials design.
- Develop and deploy scalable DFT workflows for large-scale data generation.
- Manage and enhance data infrastructure to support scalable and efficient data generation workflows.
- Validate the accuracy and physical correctness of DFT simulation results.
- Prepare technical papers, presentations, and open-source releases of research code.
Qualifications
Required:
- PhD in computational materials science, computational chemistry, condensed matter physics, machine learning, or related area, or comparable industry experience.
- Experience in developing high-throughput DFT workflows and scaling them to tens of thousands of materials.
- Proficiency in collaborative code development in Python on shared codebases.
- Publication record in relevant academic journals (npj computational materials, Nature Materials, PRB, PRL, etc.).
- Ability to work in an interdisciplinary collaborative environment, with effective communication of technical concepts to non-experts from different backgrounds.
Preferred:
- Practical experience with cloud platforms such as Azure, AWS, or Google Cloud.
- Experience in designing and producing computational materials datasets.
- Strong understanding of density functional theory and its application in simulating the electronic, magnetic, and optical properties of solid-state materials.
- Strong understanding of sampling methods (e.g., molecular dynamics, Monte Carlo methods) and their application in simulating solid-state materials.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.
If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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Senior Research Engineer in Materials - AI for Science employer: Microsoft
Contact Detail:
Microsoft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Engineer in Materials - AI for Science
✨Tip Number 1
Familiarise yourself with the latest advancements in density functional theory (DFT) and its applications. This will not only enhance your understanding but also allow you to engage in meaningful discussions during interviews, showcasing your expertise.
✨Tip Number 2
Network with professionals in the field of computational materials science. Attend relevant conferences or webinars where you can meet potential colleagues and learn about the latest trends, which could give you an edge when applying for the position.
✨Tip Number 3
Demonstrate your collaborative skills by contributing to open-source projects related to materials science or machine learning. This experience will not only bolster your CV but also show your ability to work effectively in a team environment.
✨Tip Number 4
Prepare to discuss your previous research and publications in detail. Be ready to explain your methodologies and findings clearly, as this will highlight your communication skills and ability to convey complex concepts to diverse audiences.
We think you need these skills to ace Senior Research Engineer in Materials - AI for Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your PhD in computational materials science or related fields. Emphasise your experience with DFT workflows and any relevant publications to align with the job requirements.
Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about AI for science and how your background in materials design makes you a perfect fit. Mention specific projects where you've developed scalable workflows or datasets.
Showcase Collaborative Experience: Highlight any collaborative projects you've worked on, especially those involving interdisciplinary teams. This will demonstrate your ability to communicate technical concepts effectively to non-experts.
Prepare for Technical Questions: Be ready to discuss your understanding of density functional theory and sampling methods during interviews. Prepare examples from your past work that showcase your expertise in these areas.
How to prepare for a job interview at Microsoft
✨Showcase Your Research Experience
Be prepared to discuss your PhD research and any relevant projects in detail. Highlight your experience with DFT workflows and how you've scaled them in previous roles, as this will demonstrate your capability for the Senior Research Engineer position.
✨Demonstrate Collaborative Skills
Since the role requires working in an interdisciplinary environment, be ready to share examples of how you've effectively communicated complex technical concepts to non-experts. This will show that you can bridge the gap between different fields.
✨Prepare for Technical Questions
Expect questions on density functional theory and its applications. Brush up on sampling methods like molecular dynamics and Monte Carlo methods, as well as your experience with cloud platforms, since these are key aspects of the job.
✨Discuss Your Publication Record
Be ready to talk about your publications in relevant academic journals. Highlight any significant findings or contributions you've made, as this will reinforce your expertise and commitment to advancing the field of computational materials science.
