University of Southampton
Job title:
Research Fellow – Efficient Machine Learning Systems
Company
University of Southampton
Job description
Job Information Organisation/CompanyUNIVERSITY OF SOUTHAMPTON Research FieldComputer scienceEngineering Researcher ProfileRecognised Researcher (R2)First Stage Researcher (R1)Established Researcher (R3) CountryUnited Kingdom Application Deadline14 Jun 2024 – 00:00 (UTC) Type of ContractOther Job StatusFull-time Is the job funded through the EU Research Framework Programme?Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure?NoOffer DescriptionDigital Health & Biomedical EngineeringLocation: Highfield CampusSalary: £34,980 to £40,521 per annumFull Time Fixed Term until 31/08/2025Closing Date: Friday 14 June 2024Interview Date: To be confirmedReference: 2746824FPYou 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 ( ) 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.RequirementsAdditional InformationWork Location(s)Number of offers available 1 Company/Institute UNIVERSITY OF SOUTHAMPTON Country United Kingdom City Southampton GeofieldWhere to apply WebsiteContact CitySouthamptonSTATUS: EXPIRED
Expected salary
£34980 – 40521 per year
Location
Southampton
Job date
Wed, 05 Jun 2024 22:37:06 GMT
To help us track our recruitment effort, please indicate in your email/cover letter where (globalvacancies.org) you saw this job posting.