Responsibilities
* Contribute to and drive an ambitious, high-impact research agenda in AI for materials design within a highly collaborative research culture.
* Develop and test new ideas within existing or new collaborations.
* Write research code to test new approaches or develop novel theoretical and practical insights.
* Prepare technical papers, presentations, and open-source releases of research code.
Qualifications
* PhD in machine learning, computational materials science, quantum chemistry, or a related field.
* Research record demonstrated by publications in top-tier venues (e.g., Nature, Science, NeurIPS, ICML, ICLR) or domain-specific journals (e.g., Nature Materials, Physical Review Series, ACS Series, MRS, APS).
* Experience with Python.
* Strong understanding of AI approaches for materials discovery.
* Hands-on experience in implementing and evaluating machine learning approaches for materials design, materials simulation techniques, or computational and experimental design of new materials.
* Passion for applying research to address societal challenges.
* Ability to work effectively in a multidisciplinary, collaborative environment, with clear communication of technical concepts to non-experts.
Additional Information
Read more about AI for Science:
* AI4Science Web Site
* AI for Science Blog
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration without regard to age, ethnicity, gender identity, or other protected characteristics. For accommodations due to a disability, please contact us via the Accommodation request form.
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