Postdoc: Patterns in Practice β€” Data Mining & ML

Postdoc: Patterns in Practice β€” Data Mining & ML

Full-Time 30000 - 40000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Support research, organise events, and assist with project administration.
  • Company: iSchools Inc. at the University of Sheffield, a leader in innovative research.
  • Benefits: Gain valuable research experience and contribute to impactful projects.
  • Other info: Join a dynamic team and enhance your academic career.
  • Why this job: Explore the fascinating intersection of beliefs, values, and data mining.
  • Qualifications: PhD in relevant field and strong research skills.

The predicted salary is between 30000 - 40000 Β£ per year.

iSchools Inc. at the University of Sheffield is seeking a Postdoctoral Researcher for an AHRC-funded project called "Patterns in Practice." This role involves providing essential research support, organizing project-related events, and assisting with administrative tasks.

The successful candidate will explore the intersection of beliefs, values, and data mining practices in various fields, including education and arts.

The application deadline is September 27, 2023.

Postdoc: Patterns in Practice β€” Data Mining & ML employer: iSchools Inc.

iSchools Inc. at the University of Sheffield offers a dynamic and collaborative work environment that fosters innovation and research excellence. As a Postdoctoral Researcher, you will benefit from access to cutting-edge resources, opportunities for professional development, and a supportive culture that values diversity and interdisciplinary collaboration. Located in a vibrant academic community, this role not only allows you to contribute to meaningful research but also to engage with a network of scholars and practitioners dedicated to advancing knowledge in data mining and machine learning.

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Contact Details:

iSchools Inc. Recruitment Team

We think you need these skills to ace Postdoc: Patterns in Practice β€” Data Mining & ML

Data Mining
Machine Learning (ML)
Research Support
Event Organisation
Administrative Skills
Analytical Skills
Interdisciplinary Collaboration