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Research Fellow - Efficient Machine Learning Systems

University of Southampton - Digital Health & Biomedical Engineering

Location: Southampton
Salary: £34,980 to £40,521 per annum
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 31st May 2024
Closes: 14th June 2024
Job Ref: 2746824FP
 

Full Time Fixed Term until 31/08/2025

Interview Date: To be confirmed

You will join our collaborative team to work on an EPSRC-funded project led by Dr. Jagmohan Chauhan in an exciting area of embedded machine learning. The post will be based at the University of Southampton. You will be working with Dr. Jagmohan Chauhan (PI), a team of PhD students, and other collaborators such as Pete Warden (Stanford, previously Google), and OnSemi.  Note that the current post is for one year. But there is a very strong chance of another year(s) extension on related projects. 

As part of your roles, you will design and develop ML algorithms that make deep learning models learn on the fly and solve multiple tasks efficiently on embedded devices. You will write and submit academic papers and project deliverables, and travel to academic conferences or project meetings to present your work and represent the team.  

You must have a PhD* in CS or Engineering (Electrical/Electronics), with specialization in one or more of the following fields: Machine Learning and embedded systems. An ideal candidate will possess knowledge of audio signal processing, continual learning, and have good interpersonal & communication skills.  

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

We as a team and group have a constant presence by publishing and getting engaged, in top-tier conferences and journals in the area of Systems, ML, ubiquitous computing, and signal processing. We have a positive and vibrant environment, and, in this project, you will have an opportunity to work on cutting-edge technology while having fun. We have a large network of collaborations with academics at Imperial, KCL, Newcastle, Cambridge, Cornell, and industrial labs such as Samsung AI, and Bell Labs in case you are looking to foster further collaborations and strengthen your network. You will also have an opportunity to join the International Centre for Spatial Computational Learning and ARM-ECS Center. 

We strongly encourage interested candidates to contact Dr Jagmohan Chauhan (j.chauhan@soton.ac.uk) to further discuss this role.

There is a great range of benefits that includes a contributory pension scheme; holiday entitlement of 30 days plus 8 bank holidays and 6 additional holidays (closure days); subsidized health and fitness facilities on-site; cycle to work scheme; and a range of discounts.

*Applications will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification.  The title of Research Fellow will be applied upon completion of the PhD.  Prior to the qualification being awarded the title of Senior Research Assistant will be given. 

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