Research Technician in Machine Learning (1239020FP)

Research Technician in Machine Learning

The post is full time fixed term until 30/11/2020 in the first instance, with the potential for extension depending on the availability of funds. The post is due to start as soon as possible.

You will take up a leading role in a pilot project funded by the RFSL Limited.  The role will involve the development of software solutions in collaboration with RFSL Ltd to extract insights from datasets they hold on their estates of ATMs (cash machines) from across Europe. The goal will be to analyse historical or  streaming datasets to identify anomalies. Automation procedures will also need to be designed using machine learning techniques. Close collaboration with RFSL will be required to ensure the algorithms developed can be managed by non-expert humans. 

It is essential you have skill level equivalent to achievement of HNC, A Level, NVQ3 with proven work experience acquired in relevant technical support roles and job related training. In addition, you will have demonstrable experience of coding skills as the core work will involve developing machine learning and optimisation algorithms (Python, C++,  Java, Django, Javascript, TensorFlow, AWS).

This role will involve some elements of administrative duties including but not limited to the organisation of  events at RFSL's premises in Basingstoke.

Equality, diversity and Inclusion is central to the ethos in the School of Electronics and Computer Science. We are commited to improving equality for women in science and are submitting 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.

*subject to qualifying criteria

You will join an internationally renowned and multi-disciplinary team across the University of Southampton (where this post is based). The team won several best paper awards for its world-renowned research. The project is led by Prof. Sarvapali Ramchurn, Director of the Centre for Machine Intelligence.

Application Procedure
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 Annabelle Trimm (Recruitment Team) on +44 (0) 23 8059 4043. Please quote reference 1239020FP on all correspondence.

Closing Date: 19 Feb 2020
Post Type: Technical & Experimental