ZZ003777 - Software Engineer KTP Associate
Faculty of Technology
School of Computing
Computing Research Group in collaboration with Xim Ltd
Software Engineer KTP Associate
Employment type: Fixed term (2 years)
Employment basis: Full time
Based at: Based at Xim’s offices in Chilworth, Southampton, Hampshire, SO16 7NP
Salary: £27,000 per annum, plus a £4,000 training budget
Post number: ZZ003777
Date published: 16 January 2017
Closing date: 29 January 2017
Interview date: 23 February 2017
An excellent opportunity has arisen for a recent graduate with a good first degree or higher degree in a computing, numerate science or engineering subject to join us in developing a system to monitor patient vital signs and give early warning of deterioration.
Qualifications we require:
Good first degree or higher degree in a computing, numerate science or engineering subject.
About Xim Ltd:
Xim (www.xim.ai) is an entrepreneurial SME focusing on innovative Digital Health applications, with over 16 years' experience delivering R&D projects across Europe. Our work includes multi-modal emotional recognition, usability for the older generation, gamification and visual analytics of camera-based vital signs technologies.
About KTP:
Knowledge Transfer Partnerships bring together universities and business to work together on a development project that is strategically important to the future of an organisation.
KTPs offer:
· Acceleration for your career
· The opportunity to lead and manage a strategic project
· The support of an academic team from the University
· The possibility of a permanent post with the company
If you have questions about vacancy contact:
Professor Jim Briggs, Centre for Healthcare Modelling and Informatics, University of Portsmouth. Email: Jim.Briggs@port.ac.uk. Tel: +44 (0)23 9284 6438
The successful candidate must possess:
· High degree of numeracy and confidence working with data
· Programming competence to an advanced level in Java, Python or a similar language
· Experience in any numerate scientific or engineering domain, preferably data analytics, signal processing or computer vision
· Ability to apply logic to solve problems and overcome technical challenges creatively
· Ability to plan, organise and prioritise work with minimum supervision
· Good report writing and data analysis skills
In addition, the perfect candidate would also have the following:
· Experience in commercial software development including version control and cloud deployment
· Passion for learning and acquiring skills in an exciting, rapidly developing field
· Experience in any health-related field
· Excellent presentation skills
For detailed information about the vacancy, please select this link: ZZ003777 - Software Engineer KTP Associate.docx