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Research Associate, Autonomous Systems for Biodiversity Monitoring

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CLOSES 16th August at 23:59

The Alan Turing Institute

Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better.


The Alan Turing Institute is looking to recruit a Research Associate to work with an interdisciplinary team to develop autonomous decision-making solutions for scientific research questions, under the open-source research project entitled “AI and Autonomous Systems for Biodiversity Monitoring”. The project stems from the observation that global biodiversity decline is a critical issue facing humanity, and, in consequence, biodiversity monitoring is essential to understand the functioning of ecosystems, as well as impacts of human activities and climate change, and to develop policies to address this decline. The goal is to develop real-world exemplars of AI-driven Biodiversity Monitoring, selected to leverage existing effort towards this direction and address outstanding technical challenges in key areas of autonomous marine monitoring and citizen science-led terrestrial monitoring.


  • Undertake research on autonomous decision-making for adaptive sampling missions with underwater vehicles within the context of the project “AI and Autonomous Systems for Biodiversity Monitoring”;
  • Produce high-quality publications for dissemination of the work to the wider academic community as well as research reports to document the work undertaken during the project;
  • Develop software to implement decision-making algorithms for adaptive sampling;
  • Run experiments as appropriate to demonstrate the performance of such algorithms;

  Person Specification

  • Research Associate level: A PhD degree or equivalent professional experience in a field with significant elements of autonomous decision-making (e.g. AI planning, probabilistic reasoning) and/or machine learning.
  • Research Assistant level: Near completion of a PhD or equivalent level of professional experience in a field with significant elements of autonomous decision-making and/or machine learning.
  • Fluency in at least one programming language

Please see our portal for a full breakdown of the Job Description.

Terms and Conditions

This full-time post is offered on a fixed term basis for 3 years. The annual salary is £42,893 – £48,510 plus excellent benefits, including flexible working and family friendly policies,

Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant at a salary of £40,148 per annum.

The Alan Turing Institute is based at the British Library, in the heart of London’s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview.

Application procedure

Please see our jobs portal (via the ‘Apply’ button above) for full details on how to apply and the interview process.

Equality Diversity and Inclusion

We are committed to making sure our recruitment process is accessible and inclusive.

This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at [email protected]  to find out how we can assist you.

Click Here to Apply For The Job



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