Up to 30% off — ends 2 Aug
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Up to 30% off — ends 2 Aug
ONLY00h00m00s
The Alan Turing Institute
2 weeks ago
2-year Postdoc / Senior Research Associate in Deep Learning for AI for Intelligence Analysis The Alan Turing Institute in United Kingdom
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableCountry
United Kingdom
University
The Alan Turing Institute

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About this position
2-year postdoctoral / senior research associate opportunity in deep learning and AI for intelligence analysis at The Alan Turing Institute. The role is part of the EPSRC-funded AiTASHA project, focused on developing human-centred AI methods to support National Security & Defence intelligence analysts.
The research combines fundamental machine learning with high-impact applied work. The successful candidate will investigate novel approaches that help deep learning models encode or represent the same context or mental model as a human analyst. The project also involves enhancing cutting-edge embedding models and building on methods in explainable AI and interpretable AI.
The post is based at the Alan Turing Institute and involves close collaboration with a second senior research associate and a UK-wide interdisciplinary team of 11+ researchers across five leading institutions, including the University of Warwick, University of Southampton, Cardiff University, and Heriot-Watt University. There are also opportunities to work with UK government partners to ensure real-world impact.
This is a funded research job, not a scholarship. No deadline, salary, or application fee waiver is stated in the post. Interested applicants should follow the linked opportunity and project information for application details.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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