Job Description

Job number

NAT02069

Faculties

Faculty of Natural Sciences

Departments

Department of Mathematics

Salary or Salary range

49,017 - 57,472 per annum

Location/campus

South Kensington Campus - Hybrid

Contract type work pattern

Full time - Fixed term

Posting End Date

14 Nov 2025

About the role

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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

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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 appllications.

The postholders will be expected to make significant contributions to the mathematical foundations of the programme, engage actively with the broader DataS?g 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 processing.



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

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The essential requirements for this post are as follows:


Hold (or be near completion of) a PhD in Mathematics or a closely related field relevant to the Programme. Strong grounding in mathematical foundations relevant to the Programme, such as rough path theory, controlled differential equations, or stochastic analysis. Understanding of modern machine learning techniques, especially those related to streamed data, transformers, or LLMs. Ability to develop and apply new concepts. Creative approach to problem-solving. Ability to carry out original research and to produce published research papers. Ability to identify, develop and apply concepts, techniques and methods in new contexts. Strong computational and programming skills, including experience with numerical methods and algorithm development.

What we can offer you

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The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity. Grow your career with access to Imperial's sector-leading dedicated career support for researchers as well as opportunities for promotion and progression. Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes).

Further information

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The position is fixed term for 24 months. The expected start date is 1st January or soon thereafter.


Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant within the salary range, 43,863 - 47,223 per annum.


In addition to completing the online application, candidates should attach:


A full CV, A 2-page research statement describing why the candidate's expertise is relevant to this position and future research plans; and The details of three referees.

For any specific queries regarding the post please Prof Thomas Cass, (thomas.cass@imperial.ac.uk).

Available documents

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Attached documents are available under links. Clicking a document link will initialize its download.

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.



If you encounter any technical issues while applying online, please don't hesitate to email us at support.jobs@imperial.ac.uk. We're here to help.

About Imperial

Welcome to Imperial, a global top ten university where scientific imagination leads to world-changing impact.



Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world's toughest challenges. Whatever your role, your contribution will have a lasting impact.



As a member of our vibrant community of 22,000 students and 8,000 staff, you'll collaborate with passionate minds across nine London campuses and a global network.



This is your chance to help shape the future. We hope you'll join us at Imperial College London.

Our Culture

We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our webpages.



Our values are at the root of everything we do and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation.