Research Associate in Deep Learning for intelligent shared representations of large (and dynamic) environments

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
• Experience with programming in  Python, C/C++ or another language

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.

For any specific queries regarding the post please contact Prof Pier Luigi Dragotti (p.dragotti@imperial.ac.uk)

Available documents

Attached documents are available under links.

• download: Employee Benefits Booklet.pdf
• download: Research Associate Imperial Job Description.pdf

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.

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