FULL_TIME
0-2
Post Doc - Natural Language Processing - Microsoft Word Applied Science
11/21/2025
Work with a principal applied scientist mentor to define and refine an applied research project. Stay updated with the latest research and trends in NLP and explore new ideas for innovation.
Working Hours
40 hours/week
Company Size
10,001+ employees
Language
English
Visa Sponsorship
No
About The Company
Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting in differences. Because impact matters.
Microsoft operates in 190 countries and is made up of approximately 228,000 passionate employees worldwide.
About the Role
Works with a principal applied scientist mentor to define and refine an applied research project that aligns with product priorities and customer needs. Stays updated with the latest research and trends in NLP and related fields and explore new ideas and opportunities for innovation. Brings new technology and approaches into production by applying long-term research efforts to solve immediate product needs. Understands and follows ethics and privacy policies when executing research processes and/or collecting data/information. PhD in Computational Linguistics, Computer Science or related field with a focus on NLP (completed or close to completion by the start date). Demonstrated research excellence evidenced by at least two peer-reviewed publications or equivalent high-quality writing samples, provided as part of the application. Proven ability to work in highly collaborative, cross-disciplinary, and cross-organizational environments. Active engagement in the scientific community (e.g., publications, reviewing, open-source contributions, workshops, or conference participation).
Key Skills
Natural Language ProcessingApplied ResearchCollaborationCross-Disciplinary WorkInnovationEthicsPrivacy PoliciesResearch ExcellencePublicationsData CollectionScientific Community Engagement
Categories
TechnologyScience & ResearchData & Analytics
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