Job reference: KT19004
Closing date: 02/06/2019
Salary: £35 - £38k per annum depending on qualifications and experience
Employment type: KTP Associate
An opportunity is available to develop an automated artificial intelligence system to analyse natural language user feedback and incorporate this into a software tool to address exceptional utility consumption in business premises. The position is an initial 24-month fixed term contract. It is likely the project will continue beyond the KTP therefore, there is potential for a successful candidate to continue with the company beyond the initial two years.
If you have questions about this or other KTP vacancies contact:
T: 0118 378 6142
E: [log in to unmask]
Academic Supervisor: Dr Varun Ojha
[log in to unmask]
The successful candidate must possess:
• PhD with experience in Natural Language Processing, Artificial Intelligence and Deep Learning
• Knowledge of signal processing and database management such as SQL
Essential skills we require as a minimum:
• Able to develop a sound understanding of the energy and utility sector, along with the ability to quickly learn existing Company’s technical systems
• An appetite for commercial awareness with strong self-motivation with a desire to drive a project forward
• Able to work independently within a small team
• Effective communication to both technical and non-technical audiences
Interview date: 17 June 2019
More details: https://jobs.reading.ac.uk/internal/displayjob.aspx?jobid=4875
Please feel free to forward to interested candidate
-----------------
Dr Varun Ojha
Lecturer in Computer Science, University of Reading
########################################################################
To unsubscribe from the EVOLUTIONARY-COMPUTING list, click the following link:
https://www.jiscmail.ac.uk/cgi-bin/webadmin?SUBED1=EVOLUTIONARY-COMPUTING&A=1
|