At a Glance
- Tasks: Join a leading team to tackle challenges in rough path theory and machine learning.
- Company: Imperial College London, a world-renowned institution in mathematical sciences.
- Benefits: Competitive salary, 41 days off, generous pension schemes, and dedicated career support.
- Other info: Fixed term for 24 months with excellent career growth opportunities.
- Why this job: Make a real-world impact on streamed data science and innovative AI applications.
- Qualifications: PhD in Mathematics or related field, strong mathematical and programming skills.
The predicted salary is between 49017 - 57472 £ per year.
Research Associate in Rough Path Theory for Applications
Job Type: Full-Time.
Starting Salary: £49017 - £57472 per annum + 49017 plus benefits
To find out more about the job please click the ‘apply for job’ button to be taken to Imperial job siteAbout 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 appllications.
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 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
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
- 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
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, ( ).
Research Associate in Rough Path Theory for Applications - London employer: Imperial College London
Imperial College London is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration among leading mathematical scientists. With access to dedicated career support, generous benefits including 41 days of annual leave, and the opportunity to contribute to groundbreaking research in machine learning and data science, employees are empowered to grow their careers while making a meaningful impact on society.
StudySmarter Expert Advice🤫
We think this is how you could land Research Associate in Rough Path Theory for Applications - London
✨Get Involved in Research Communities
Dive headfirst into the scientific research world by joining relevant communities and forums. Engage in discussions, share your insights, and even attend conferences or seminars in your field. This not only boosts your visibility but can also lead to potential job opportunities—don't forget to connect with like-minded folks!
✨Show Off Your Research Projects
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✨Utilise Professional Networks
Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.
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We think you need these skills to ace Research Associate in Rough Path Theory for Applications - London
Some tips for your application 🫡
Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!
Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at Imperial College London. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.
Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.
Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at Imperial College London. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!
How to prepare for a job interview at Imperial College London
✨Showcase Your Research Skills
In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.
✨Prepare for Technical Questions
Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at Imperial College London. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.
✨Know Your Publications
If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.
✨Exhibit Your Team Spirit
In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at Imperial College London to drive research projects forward.
