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Natural Language Processing and Machine Learning Scientist (KTP Fellow)
VoiceIQ Ltd, Universal Square, Devonshire Street North, Manchester

Job reference: S&E-15002

Location: VoiceIQ Ltd, Universal Square, Devonshire Street North, Manchester

Closing date: 13/01/2020

Salary: £41,526 to £51,034 per annum, depending on relevant experience

Employment type: Fixed Term

Department: Science & Engineering

Division: Department of Computer Science

Hours per week: Full Time

Contract Duration: Starting as soon as possible for 30 months

This is an exciting opportunity for an ambitious research scientist with expertise in Natural Language Processing and Machine Learning with the ability and confidence to work on a 30-month Knowledge Transfer Partnership (KTP) project with VoiceIQ Limited. The project aims at developing innovative AI solutions to an exciting, high-impact and challenging problem of automatically detecting consumer vulnerability from communication channels by embedding state-of-the-art natural language processing and machine learning techniques.

VoiceIQ is an AI-powered, communications system, transforming enterprise telephony by leveraging the power of machine learning and natural language processing. The University of Manchester is among the world’s best universities (World 33 by Academic Ranking of World Universities 2019, World 27 by QS 2020).

The position will provide you with a unique opportunity to work in a rapidly growing UK based, AI software company and play a key role in the product development and commercial success of the company. You 

•    Will apply and improve state-of-the-art machine learning and natural language processing techniques to address a cutting edge business problem which has a high level of commercial applicability;

•    Will play a vital role in innovating, experimenting, developing and transferring such new techniques to VoiceIQ, publishing academic research discoveries in high impact fora in the field, and supporting strategically important future business development; 

•    Ultimately, will be responsible for creating a product that is new, first to the market and that will help protect vulnerable members of society from falling prey to mis-selling. 

The position is particularly suitable for applicants who want to bridge academic and industrial research excellence.

You will require a PhD degree with an emphasis on machine learning applied to natural language processing or relevant subjects, and a few years of post-doc (or equivalent) experience. Experience relevant to deep learning and neural network-based learning models, to either text or speech analytics is essential. 

This post is funded through a Knowledge Transfer Partnership (KTP) award, a UK Government scheme intended to promote sustained and mutually beneficial relationships between universities and Industry.

Based at VoiceIQ at Universal Square Business Centre in Manchester, the successful candidate will work directly with supervisors from both the University and VoiceIQ and will use the facilities and resources of both organisations.

As an equal opportunities employer we welcome applicants from all sections of the community regardless of gender, ethnicity, disability, sexual orientation and transgender status.  All appointments are made on merit.
    
Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Enquiries about the vacancy, shortlisting and interviews:
Name: Tingting Mu
Email: tingting.mu@manchester.ac.uk

Or

Name: Amila Palahepitiya Gamage
Email: amila@voiceiq.ai
Or

Name: Sophia Ananiadou
Email: Sophia.Ananiadou@manchester.ac.uk

General enquiries:
Email: hrservices@manchester.ac.uk
Tel: 0161 275 4499

Technical support:
Email: universityofmanchester@helpmeapply.co.uk
Tel: 0161 850 2004

This vacancy will close for applications at midnight on the closing date.

Please see the link below for the Further Particulars document which contains the person specification criteria.

 

The closing date for this job has now passed.

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