Research Fellow (Data Science and AI) - The Institute for Data and AI - 105 at University of Birmingham
Birmingham, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

30 Sep, 25

Salary

48149.0

Posted On

09 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Workshops, Research

Industry

Information Technology/IT

Description

POSITION DETAILS

The Institute for Data and AI (IDAI)
Location: University of Birmingham, Edgbaston, Birmingham UK
Full time starting salary is normally in the range £36,130 to £45,413 with potential progression once in post to £48,149
Grade: 7
Full Time, Fixed Term contract up to July 2028
Closing date: 31st August 2025

KNOWLEDGE EXCHANGE AND IMPACT:

  • Engage with external partners including industry, policymakers, and other academic institutions
  • Represent and promote the Institute’s work to external audiences
  • Support the translation of research into practical applications
  • Contribute to the Institute’s pump-prime funding scheme
  • Participate in organising workshops, seminars, and other knowledge exchange activities
Responsibilities

ROLE SUMMARY

We are seeking early-career researchers with strong technical backgrounds in AI/Data Science and a commitment to interdisciplinary research. The successful candidate will actively participate in the Institute’s mission to drive impactful data-intensive research, by:

  • Conducting high-quality research
  • Supporting research groups across the University to develop new project proposals centred on data-intensive research
  • Engaging with stakeholders across academia and industry
  • Developing recommendations to help the shaping of research priorities, both internally and to funders, through co-authoring and co-editing research vision and policy documents

The post holder will engage in developing and leading research projects contributing to IDAI’s interlocking thematic networks: Governance, Economy, and Social Impact; Health, Environment, and Resilience; Advanced Engineering, Materials Science, and Smart Manufacturing; Creative and Cultural Digital Futures; and Foundational Data Science and AI Methodologies. Together, these themes create a collaborative research environment that exemplifies IDAI’s distinct approach to interdisciplinary data science and AI research.

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