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For Companies At a Glance
- Tasks: Conduct groundbreaking research in deep learning and contribute to innovative projects.
- Company: Join Imperial College, a world-leading institution in science and technology.
- Benefits: Enjoy a competitive salary, 39 days off, and excellent career support.
- Why this job: Make a real impact in AI research while growing your career in a collaborative environment.
- Qualifications: PhD in relevant field or nearing completion of a PhD with strong research experience.
- Other info: Be part of a diverse team committed to equality and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
About the role
The post is funded by the UKRI AI-Hub called Informed-AI to explore new representation models and various deep network architectures for visual field coverage in multi-agent settings.
This full-time, in-person postdoctoral position is based at Imperial College’s South Kensington Campus in London, UK, and is funded for 23 months initially, starting in January 2026. The Research Associate will be expected to submit publications to refereed journals and to contribute to funding applications.
What you would be doing
Key responsibilities include:
- To take initiatives in the planning of research.
- To undertake original research of international excellence.
- To ensure the validity and reliability of data at all times.
- To maintain accurate and complete records of all findings.
- To write reports for submission to research sponsors.
- To present findings to colleagues and at conferences.
- To submit publications to refereed journals.
What we are looking for
Education:
- Research Associate: Hold a PhD in mathematics, engineering, or a related topic.
- Research Assistant: Hold a master’s degree in mathematics, engineering or a related topic and be near completion of a PhD.
Experience
- Practical experience within a research environment and/or publication in relevant and refereed journals.
- Practical experience in a broad range of techniques, including:
- Optimisation and signal processing methods.
- Design and training of deep neural networks.
- Implementation of algorithms via computer simulation.
Knowledge
- Knowledge of Optimization methods, signal/image processing techniques, model-based machine learning methods.
- Knowledge of research methods and statistical procedures.
Skills and Abilities
- Ability to conduct a detailed review of recent literature.
- Ability to develop and apply new concepts.
- Creative approach to problem-solving.
- Excellent verbal communication skills and the ability to deal with a wide range of people.
- Excellent written communication skills and the ability to write clearly and succinctly for publication.
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: gain 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 39 days off a year and generous pension schemes).
- Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.
Further information
Please note that job descriptions cannot be exhaustive, and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.
We are an equal opportunities employer and welcome applications from all candidates. Imperial College is committed to equality, diversity and inclusion.
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Research Associate in Deep Learning for intelligent shared representations of large (and dynami[...] employer: Imperial College London
Contact Detail:
Imperial College London Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Associate in Deep Learning for intelligent shared representations of large (and dynami[...]
✨Tip Number 1
Network like a pro! Reach out to people in your field, attend conferences, and engage with researchers at Imperial College. Building connections can lead to opportunities that aren’t advertised.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your research work, publications, and projects. When you get the chance to chat with potential employers, having tangible evidence of your expertise can really set you apart.
✨Tip Number 3
Practice your pitch! Be ready to explain your research interests and how they align with the role. A clear, confident presentation of your ideas can make a lasting impression during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Research Associate in Deep Learning for intelligent shared representations of large (and dynami[...]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role. Highlight your experience in deep learning, optimisation methods, and any relevant publications. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this research area and how your skills can contribute to our mission. Keep it concise but impactful – we love a good story!
Showcase Your Research Experience: Don’t forget to detail your research experience! Mention any projects you've worked on, especially those involving deep neural networks or multi-agent settings. We’re keen to see your original research initiatives!
Apply Through Our Website: Finally, make sure to apply through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. We can’t wait to hear from you!
How to prepare for a job interview at Imperial College London
✨Know Your Research Inside Out
Make sure you’re well-versed in your own research and the latest developments in deep learning. Be prepared to discuss your previous work, publications, and how they relate to the role. This shows your passion and expertise, which is crucial for a Research Associate position.
✨Familiarise Yourself with the Team's Work
Before the interview, take some time to read up on the projects and publications from the team at Imperial College. Understanding their current research focus will help you tailor your responses and demonstrate that you’re genuinely interested in contributing to their work.
✨Prepare for Technical Questions
Expect to be asked about optimisation methods, signal processing techniques, and deep neural network design. Brush up on these topics and think of examples from your experience where you applied these skills. Being able to articulate your technical knowledge will set you apart.
✨Showcase Your Communication Skills
As a Research Associate, you'll need to present findings clearly and write reports for publication. Practice explaining complex concepts in simple terms, as this will highlight your ability to communicate effectively with both technical and non-technical audiences during the interview.
