Salary: £49,017 – £57,472 per annum 

Location: South Kensington Campus 

About the role: 

Applications are invited for a Postdoctoral Research Associate to Join a world-leading team of mathematical scientists at Imperial College London working on the EPSRC Programme Grant DataSig II, a transformative initiative at the intersection of rough path theory and modern machine learning. This ambitious, multi-institutional collaboration aims to redefine how streamed data is modelled and processed—unlocking new capabilities in generative AI, anomaly detection, and real-time decision-making. 

What you would be doing: 

Key scientific challenges you’ll help tackle: 

• Next-generation Transformers: Develop mathematically grounded architectures for continuous, multimodal data streams.
• Efficient Representations: Create robust, interpretable, and scalable representations using signature and path development techniques 
• Anomaly Detection: Build principled, representation-invariant methods for identifying outliers in high-dimensional data with use in applications.

The postholders will be expected to make significant contributions to the mathematical foundations of the programme, engage actively with the broader DataSıg II team, and participate in weekly collaborative meetings at Imperial-X or The Alan Turing Institute. They will interact with DataSig’s scalable computation objective of extending our RoughPy framework to support GPU/FPGA acceleration for real-time stream processin.

The successful candidates will play a central role in shaping the theoretical and computational tools that underpin the programme’s vision. If you are passionate about mathematics, machine learning, and making a real-world impact, we encourage you to apply and help shape the future of streamed data science. 

What we are looking for: