Research Fellow - Optimising Machine Learning for Embedded Systems

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 PostDoc and PhD students and a few other key collaborators such as Pete Warden (Stanford, previously Google), and OnSemi. This is also a great time to join our group as we are exploring new paradigms in AI beyond deep learning such as neuromorphic computing. 

As part of your role, you will design and implement 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 help in writing research papers, technical reports, and project deliverables with the team and travel to academic conferences or project meetings to present the 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. You must possess knowledge and be proficient in programming hardware boards, MCUs, DSPs, FPGA. 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 this role.

There are a great range of benefits that includes a contributory pension scheme; subsidised health and fitness facilities on-site; cycle to work scheme; a range of discounts.

*Applications for Research Fellow positions 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 successful completion of the PhD. Prior to the qualification being awarded the title of Senior Research Assistant will be given. 

Working at the University of Southampton:

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

Application Procedure 

The application deadline is midnight on the closing date stated above. If you need assistance, call Recruitment on +44 (0) 23 8059 2750, or email recruitment@soton.ac.uk. Quote the advert reference on all correspondence.

Further details:

• Job Description and Person Specification

Advert information