Research Fellow - Efficient Machine Learning Systems

University of Southampton
June 14, 2024
Offerd Salary:£34,980 to £40,521
Working address:N/A
Contract Type:Fixed Term until 31/
Working Time:Full time
Working type:N/A
Ref info:N/A
Research Fellow - Efficient Machine Learning Systems Digital Health & Biomedical Engineering

Location: Highfield Campus Salary: £34,980 to £40,521 per annum Full Time Fixed Term until 31/08/2025 Closing Date: Friday 14 June 2024 Interview Date: To be confirmed Reference: 2746824FP

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 ([email protected]) 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.

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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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Further details:
  • Job Description and Person Specification
  • We are committed to equality, diversity and inclusion and welcome applicants who support our mission of inclusivity.

    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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