Internship Opportunities: Future of Work – Enterprise Knowledge

Last updated 6 days ago
Location:Cambridgeshire
Job Type:Full Time

The intern will work with the Future of Work team on the Enterprise Knowledge project. The project aim is to develop compelling new user experiences driven by an enterprise knowledge base, by making knowledge available to workers as and when they need it. The knowledge base is generated through unsupervised machine learning (ML) with input from enterprise workers.

The intern will research how recent innovations in enterprise technology have the potential to change how workers share content with their colleagues and wider organisation. We are especially interested in how content generated by ML from employees’ work, which is then surfaced and recommended to others in the organisation (including peers and management), raises questions about how employees contribute to a knowledge base, how they present themselves via such systems, and how they interpret knowledge that is recommended to them. Underpinning all of these questions is the need to understand how the deployment of ML in the enterprise has the potential to shift relationships between employee and company, and amongst employees themselves.

Responsibilities

During the 12 week internship, the intern will work with an interdisciplinary team of social scientists, designers and ML researchers. They will conduct qualitative user research to tackle a research question jointly agreed with the wider team, related to the above description. They will design and run the study, and analyse and write up findings. The internship will begin during the summer of 2021.

Qualifications

Required:

  • PhD candidate in the field of human-computer-research (HCI), drawing on social science (e.g. sociology, psychology) in their research program.
  • Significant experience in designing and running qualitative user research studies.
  • Excellent organisation skills.

Desirable:

  • Experience of researching technologies for the workplace.
  • Experience of researching interactive human-AI systems.
  • Experience of working in multi-disciplinary teams.
  • Ability to communicate to a multi-disciplinary audience.
  • Experience of writing for a computer-supported cooperative work (CSCW) audience.

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 the recruiting process, please send a request via the Accommodation request form.

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