Postdoctoral Research Associate in Information Theory and Statistics
5 days ago
The PDRA's main project will involve investigating several theoretical questions concerning distributed testing and estimation, particularly in streaming settings where agents have limited memory. They will study tradeoffs between memory, accuracy, and sample complexity of fundamental questions in hypothesis testing. In addition, the PDRA may be responsible for developing and conducting collaborative research projects as part of the overall work of the INFORMED-AI programme.
This is an exceptional opportunity to conduct ambitious research at the forefront of mathematics, statistics, information theory, and machine learning. There are generous funds available for conference attendance, travel, computer equipment, training, and career development.
The vision and ambition of INFORMED-AI is to develop the theoretical foundations of artificial intelligence, specifically in the area of collective intelligence, addressing aims such as 1) trustworthy collective intelligence, 2) connectivity and resilience, and 3) heterogeneous distributed artificial intelligence.
Limit of tenure: 2 years, with possible extension as funds permit.
Start date: 1 July 2026 or by mutual agreement.
Interviews will take place as soon as possible following the closing date.
The University has a responsibility to ensure that all employees are eligible to live and work in the UK.
**Key information**:
**Department/location**:
Department of Pure Mathematics and Mathematical Statistics
**Salary**:
£37,694-£46,049
**Reference**:
LF47619
**Category**:
Research
**Date published**:
15 October 2025
**Closing date**:
1 December 2025
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