Opportunities

17th August 2017

Research Associate in Monitoring Complex Systems with Rare High Consequence Events: Transportation Workstream

Imperial College of London are seeking to hire Research Assistant/ Research Associates to join the Data-Centric Engineering Programme.

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Research Associate in Monitoring Complex Systems with Rare High Consequence Events: Methodology for Rare Event Prediction and Monitoring Workstream

Imperial College of London are seeking to hire Research Associates to join the Data-Centric Engineering Programme.

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Research Associate in Monitoring Complex Systems with Rare High Consequence Events: Cyber-Security Workstream

Imperial College of London are seeking to hire Research Associates to join the Data-Centric Engineering Programme.

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15th August 2017

Press and Communications Manager

This is an exciting opportunity for a media professional to join a fast-paced communications team responsible for promoting, protecting and sharing the cutting-edge research and activities in data and AI taking place at The Alan Turing Institute.

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8th August 2017

Research Associate in Complex Networks – CHANCE Project

The Research Associate (RA) will lead the implementation/development of network science algorithms and systems code for the CHANCE project.

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7th August 2017

Programme Directors

We are seeking top talent in data science to join the Institute’s growing team of Programme Directors.

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4th August 2017

Call for research proposals in data science for cybersecurity – Turing Defence and Security Programme

We invite Turing researchers (Turing Fellows, Research Fellows, Doctoral Student Supervisors and others) and academics from our five founding universities (Cambridge, Edinburgh, Oxford, UCL and Warwick) to apply to join our scientific programme on Defence and Security (sub-theme cybersecurity).

External collaborations

Applicants are encouraged to involve collaborators from universities other than the five founding universities, and also industrial collaborators.  If you are a researcher external to the Turing founding universities and are keen to work on a joint project, please visit the ‘People’ pages of our website for more information on our Fellows or contact your colleagues in one of the five founding universities to begin a discussion.  Alternatively, you can contact the Programme Director, Mark Briers, or the Programme Manager, Catherine Lawrence, for advice.

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2nd August 2017

Call for research proposals in social data science: Turing Defence and Security Programme

We invite Turing researchers (Turing Fellows, Research Fellows, Doctoral student supervisors and others) and academics from our five founding universities (Cambridge, Edinburgh, Oxford, UCL and Warwick) to apply and join the Turing’s scientific programme on Defence and Security (sub-theme social data science, or data science applied to social science problems).

External collaborations

Applicants are encouraged to involve collaborators from universities other than the five founding universities, and also industrial collaborators.  If you are a researcher external to the Turing founding universities and are keen to work on a joint project, please visit the ‘People’ pages of our website for more information on our Fellows or contact your colleagues in one of the five founding universities to begin a discussion.  Alternatively, you can contact the Strategic Programme Director, Mark Briers, or the Programme Manager, Catherine Lawrence, for advice.

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28th July 2017

Call for applications: Data Study Group: Health & Well being

  • Are you interested in collaborations within medical data science?
  • Do you want to apply your data science skills to health & wellbeing problems from leading organisations?
  • Do you want to get involved with The Alan Turing Institute?

Then join us for the next Turing Data Study Group: Health & Wellbeing to be held 4 – 8 September 2017.

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19th July 2017

RESEARCH ASSOCIATE – PROJECT ON “Estimating system health from streaming sensor data”

The Research Associate (RA) will develop theoretical stochastic models, liaise with practitioners, and implement proof-of-concept algorithms to estimate the health of engineering systems from sensor data in real-time.

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