Chancellor's Fellow - Data Driven Innovation

Building on the outstanding successes of our previous tenure-track Chancellor’s Fellowship programmes and our world class research performance, the College of Science & Engineering is investing in a further cohort of 10 next generation research innovation leaders of the highest quality with a particular focus on:

  • Biotechnology
  • Data Driven innovation
  • Extreme Conditions
  • Energy
  • Materials and Manufacture
  • Risk and Resilience

Based in the heart of one of the world’s finest cities, these prestigious 5-year awards support early career researchers and academic innovators of the highest promise from all countries to develop their careers in a supportive, high quality environment. You will concentrate initially on world class research and innovation, with a focus on delivering high impact results. We will support you, through the course of your fellowship, to develop your contribution to education and the full spectrum of our activities, thus developing you as a fully rounded member of our academic community. It is anticipated that following a successful review the majority of Chancellors Fellows will transition to an open-ended post at an appropriate grade.

Data driven innovation

Data driven innovation for social and community benefit at the interface of Science and Engineering with Arts, Humanities and Social Sciences.

Chancellors Fellows in the "Living with Data" theme will pursue inherently interdisciplinary and translational research, exploring, understanding and exploiting data driven innovation for communities and individuals in diverse urban environments. The fellows will be based in the College of Science and Engineering and their research will have strong synergies to areas of current research excellence across schools in in Science, Engineering, Arts, Humanities and Social Science, using both scientific and social scientific understanding.

There are several broad areas within this theme:

  • Developing urban knowledge technologies and understanding their effects, in terms of socio-economic benefit and risks, including improved urban and spatial analytics, urban and environmental applications of Internet of Things technology and sustainable energy solutions
  • Understanding the data science and analytics in smart urbanisation for the future of development of places and communities, shaped by technology, innovation and experimentation
  • Exploiting data to understand the climate and energy nexus, including scientific, cultural, business and policy studies in order to develop sustainable and equitable urban communities and assess their unintended consequences
  • Data driven innovation for personal and social benefits such as better speech technologies, mobility as a service and data science technologies supporting an ageing population

Within the broad theme of data driven innovation, we are also interested in statisticians who have a track-record of involvement with working with other disciplines or end-users using real data, be it in urban environments or other data driven areas, to bring about notable external benefits.

Individuals will have specific domain expertise, technical skills and critical knowledge in data gathering, processing, analysis or modelling. Individual expertise may include social science skills for analysing data from human activity, and scientific skills such as interpretation, pattern analysis, visualisations and interventions.

UoE Vacancy Ref: 


Closing Date: 

Monday, October 15, 2018

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Contact Telephone: 

+44(0) 131 650 5585