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The DKI (Data, Knowledge, Intelligence) research team is looking for researchers at different levels in Data Intelligence and Software Analytics, which is the interdisciplinary research area of LLMs/machine learning/deep learning/reinforcement learning, optimization, Software Analytics, operating systems, recommendation, ML for systems, and NLP algorithms on data.

Responsibilities

The goal is to synergize the related areas and advance state-of-the-art research in Data Intelligence and Software Analytics. Based on huge scale data, the team is building new algorithms and innovative technologies on LLMs, AI, machine learning, intelligent Software Engineering, resource optimization, ML for systems, and AIOps. You will be working together with world-class experts on exciting and impactful research projects, as well as publishing papers in top-tier conferences in AI, Software, or System areas.

Qualifications

PhD degree in computer science or equivalent field

• strong research track record in related areas, with evidence through academic publications and services

• 2+ years of working experience, Demonstrated ability to develop research agendas and carry out research tasks independently

• Smooth communication and presentation skills in written and oral English

• Hands-on experiences and/or project management skills as a strong plus

#WWE

Microsoft is an equal opportunity employer. Consistent with applicable law, 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 and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .