Research Assistant/Research Associate/Fellow - Engineering, Mathematics and Physical Sciences
R66702 Graduate Research Assistant/Postdoctoral Research Associate/Fellow
College of Engineering, Mathematics and Physical Sciences
This Office for Students funded post is available immediately until end of March 2021.
Summary of the role/position
We are looking for an excellent researcher to join the Machine Learning research group. You will use methods from machine learning, text analytics and network science to develop an automated career coach that provides personalised advice on improving digital skills by analysing career goals and recommending suitable training.
You will be part of the Institute of Coding, an exciting new initiative that brings together a range of universities, industry, training providers and professional bodies to address the UK’s digital skills gaps.
You will join a team applying machine learning, text analysis and network science techniques to understand the digital skills labour market, to assess learner skills and training needs, and to contribute towards the design of a software tool that will assist University students who are setting out on a digital career. You will collaborate with other Institute of Coding partners that are also contributing to the automated career coach, including the University of Sheffield and IBM. The University is a partner in the Alan Turing Institute and you will join the University’s Institute for Data Science and AI.
You can view the Job Description and Person Specification document here.
The level of appointment will be based on the successful applicants qualifications and experience.
- Be able to develop research objectives, projects and proposals; identify sources of research funding and contribute to the process of securing funds and make presentations at conferences and other events
- Be able to work collaboratively, supervise the work of others and act as team leader as required
- Be able to process and clean datasets, develop machine learning and text analysis methods, analyse results, present findings and write for publicatio
- (At GRA level) Be educated to first degree level in a related field of study or have equivalent experience
- (At PDRA/RF level) Possess a relevant PhD (or be nearing completion) or equivalent qualification/experience in a related field of study
The University of Exeter
With over 22,000 students and 5,500 staff from 180 different countries we offer a diverse and engaging environment in which to work. We are an equal opportunity employer, a Disability Confident employer and an Athena Swan accredited institution. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce.
We offer some fantastic benefits including:
- 41 days leave per year
- onsite gyms on all of our campus’ and a cycle to work scheme
- sector leading policies around maternity, adoption and shared parental leave
- stunning campus environments in Exeter and Cornwall, in the beautiful South West of England
Before submitting an application you may wish to discuss the post further by contacting Prof Richard Everson (01392 724065) R.M.Everson@exeter.ac.uk or Prof Hywel Williams (01392 723777) H.T.P.Williams@exeter.ac.uk.
From £27,025 - £34,189 on Grade E (GRA), £29,515 - £34,189 on Grade E (PDRA) or £35,211 - £43,267 on Grade F (PDRF), depending on level of appointment, based on qualifications and experience.