Research Fellow in Efficient Machine Learning Systems

Updated: about 1 month ago
Location: Southampton, ENGLAND
Deadline: 17 May 2024

Digital Health & Biomedical Engineering


Highfield Campus


£36,024 to £40,521 Per annum
Full Time Fixed Term for 24 months

Closing Date:  

Friday 17 May 2024

Interview Date:  

To be confirmed



We are recruiting an outstanding team of researchers from AI, Edge Computing, and Digital Design, to work with us on achieving ``Perfect Recollection for Clearer Insight” project’s ambitious objectives. You will work with Dr Jagmohan Chauhan and Dr Alex Weddell in ECS in collaboration with teams at the University of Cambridge,  University of Manchester,  Turing Institute, and HMGCC.  

You will develop new low-power systems and ML algorithms to significantly extend the capabilities of onboard AI when used in small satellites for earth observation applications. This project aims to enhance the performance of sensing systems by leveraging very large memories while extracting precise and nuanced insights from data on edge devices that are constrained by power and communication. Our objective is to develop memory-centric systems capable of extracting larger volumes of valuable information from sensor data in a timely and energy-efficient manner. The research will innovate at software-hardware level. You will be writing research papers, submitting project deliverables with project collaborators and travel to academic conferences and project meetings to present the work.   

Successful candidates must hold (or close to completing) a PhD in a relevant subject. Knowledge and experience in computer vision is required. Experience of efficient ML techniques, edge AI hardware platforms, low-power computing, earth observation is desirable.  They will have excellent programming skills (Python, C++, etc.) with track record of publications in top conferences/journals such as CVPR, ICML, MobiCom, and DAC. 

Note: Successful candidate is required to undergo security checks from NSTIx before appointment confirmation.  

Why us? University of Southampton is a top university (1% of world universities; top 10 UK). ECS is one of the top CS departments in the UK. Southampton is a vibrant city by the water, a hub for technology companies; close to London.  

We have a positive and vibrant environment.  You will have an opportunity to work on cutting-edge technology and publish in top-tier conferences/journals.  There will be opportunities to visit the partner institutions while working closely with them. We  have a large network of collaborations with academics at Imperial, Cornell, and industrial labs such as Samsung-AI, Bell Labs for you to foster further collaborations.   

Check out the staff benefits  and why you should join us at The University of Southampton! 

*Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of their PhD. The title of Research Fellow will be applied upon successful completion of the PhD. Prior, title of Senior Research Assistant is applicable.   

We believe EDI is fundamental to making the UoS a welcoming, vibrant and successful organisation. Having a diverse workforce, inclusive of people of all ages and beliefs, from different racial backgrounds, educational and social backgrounds open up a wealth of possibilities, makes us more creative and accelerates our impact on society. We welcome applicants that value diversity of our community and are willing to play their part in supporting the mission of inclusivity.

Further details:

As a university we aim to create an environment where everyone can thrive and are proactive in fostering a culture of inclusion, respect and equality of opportunity. We believe that we can only truly meet our objectives if we are reflective of society, so we are passionate about creating a working environment in which you are free to bring your whole self to work. With a generous holiday allowance as well as additional university closure days we are committed to supporting our staff and students and open to a flexible working approach.

Apply by 11.59 pm GMT on the closing date. For assistance contact Recruitment on +44(0)2380 592750 or [email protected] quoting the job number.

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