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Research Fellow

Digital Health & Biomedical Engineering

Location:  Highfield Campus
Salary:   £33,314 to £36,386 per annum
Full Time Fixed Term until 31/08/2025
Closing Date:  Friday 17 February 2023
Interview Date:   To be confirmed
Reference:  2138723FP

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/AI. The post will be based at the University of Southampton, UK. You will be working with Dr. Jagmohan Chauhan (PI), a team of PhD students and a few other key collaborators such as Pete Warden (Stanford, previously Google), and OnSemi. These positions are open to everyone – internationally. 

As part of your roles, you will design and develop a suite of techniques that can make deep learning models learn on the fly and solve multiple tasks efficiently on resource-constrained devices. You will write and submit academic papers, technical reports, and project deliverables, and travel to academic conferences or project meetings to present your work and represent the team.  

You need to have a PhD* in Computer Science 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. You also need to possess good interpersonal and communication skills.  

Why us? University of Southampton is a top university (1% of world universities and in the top 10 of the UK) and the School of Electronics and Computer Science 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 has a constant presence by publishing and getting engaged, in the top-tier conferences and journals in the area of Systems, ubiquitous computing, signal processing and/or healthcare. 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 International Centre for Spatial Computational Learning and ARM-ECS centre. 

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

There are 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); subsidised health and fitness facilities on-site; cycle to work scheme; 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 PhD.  Prior to the qualification being awarded the title of Senior Research Assistant will be given. 

Application Procedure 

You should submit your completed online application form at https://jobs.soton.ac.uk. The application deadline will be midnight on the closing date stated above. If you need any assistance, please call Janice Poon (HR Recruitment Team) on +44 (0) 23 8059 2750 or email recruitment@soton.ac.uk  Please quote reference 2138723FP on all correspondence.

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

Please note that applications from agencies will not be accepted unless indicated in the job advert.


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