Research Fellow in Energy-Efficient Machine Learning for Mobile/Embedded Systems (1266520FP)

We are excited to offer a new global opportunity to work with international researchers at the forefront of novel machine learning hardware. The University of Southampton has teamed up with Imperial College, the University of Toronto, and the University of California Los Angeles to launch a new Centre for Spatial Computational Learning (spatialml.net). The Centre is funded by the UK’s Engineering and Physical Sciences Research Council, and works in partnership with key industrial partners (Arm, Corerain Technologies, Imagination Technologies, Maxeler Technologies, Xilinx). Our aim is to bridge hardware, software and theory, to develop new highly efficient algorithms and architectures that naturally compute over space as well as time.

You will have the opportunity to collaborate across the remit of the Centre and will aim to spend some time each year working at one of the international partner institutions developing and deepening our collaborations. We expect that such exchanges will occur annually and be of a duration between a week and a month. Appointees will have considerable freedom to help define medium-term research areas within the remit of the Centre.

You will have strong communication skills both verbally and in writing, take a methodological approach to your work, and have the ability and desire to travel and collaborate internationally. To be successful you will have a PhD* or equivalent experience in electronic engineering, computer science, or a related discipline, and a strong track record in at least one of the following areas:

Hardware design for machine learning/deep learningSoftware/algorithm development for machine learning/deep learningHardware/software co-design for improved performance/efficiencyEfficient software development for mobile/embedded systemsRun-time software adaptation for system resource management

If you wish to have an informal discussion about the post prior to applying, please email Professor Geoff Merrett (gvm@ecs.soton.ac.uk).

The post will be held in the School of Electronics and Computer Science (ECS) at the University of Southampton. ECS hosts a strategic research centre in machine intelligence (https://www.cmi.ecs.soton.ac.uk), an EPSRC Centre for Doctoral Training in Machine Intelligence for Nano- Electronic Devices and Systems (spanning hardware and software), and the Arm-ECS Research Centre (www.arm.ecs.soton.ac.uk): an award-winning industry-academia collaboration between the university and Arm Research.

Equality, diversity and Inclusion is central to the ethos in the School of Electronics and Computer Science. We are committed to improving equality for women in science and submitted an application for Athena SWAN in November 2019. We give full consideration to applicants that wish to work flexibly including part-time and due consideration will be given to applicants who have taken a career break. The University has a generous maternity policy**, onsite childcare facilities

The University of Southampton is in the top 1% of world universities and in the top 10 of the UK’s research-intensive universities. The University of Southampton is committed to sustainability and being a globally responsible university and has recently been awarded the Platinum EcoAward. Our vision is to embed the principles of sustainability into all aspects of our individual and collective work, integrating sustainable development into our business planning, policy-making, and professional activities.  This commits all of our staff and students to take responsibility for managing their activities to minimise harm to the environment, whether this through switching off non-essential electrical equipment or using the recycling facilities.

 *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.

 **subject to qualifying criteria

You should submit your completed online application form at www.jobs.soton.ac.uk. The application deadline will be midnight on the closing date stated above. If you need any assistance, please call Sam Stubbs (Recruitment Team) on +44 (0) 23 8059 4046. Please quote reference 1266520FP on all correspondence

Closing Date: 25 Jun 2020
Post Type: Education, Research & Enterprise