KTP Associate Pattern Recognition Data Scientist University of Essex, Knowledge Transfer Partnerships

Job details


Job title KTP Associate (Pattern Recognition Data Scientist)

 

Job reference REQ00920

 

Application closing date 15/10/2017

 

Location Other Salary £28,700-£32,000 per annum

 

Employment type Fixed-term, Full-time

 

Job category/type Education, Research

 

Job description


Knowledge Transfer Partnerships

 

Knowledge Transfer Partnerships (KTPs) are a unique UK-wide activity that help businesses to improve their competitiveness and productivity by making better use of the knowledge, technology and skills within universities, colleges and research organisations. Further information is available at: www.ktponline.org.uk

 

The Project

 

The University of Essex in partnership with Filament Ltd offers an exciting opportunity to lead on a project furthering tooling into the realm of visual classification & tagging, and delivering this ability into the hands of the domain experts for Filament Ltd. This post is fixed term for 36 months and is based at the Filament Ltd offices in London.


Please note this role is subject to funding approval (funding outcome expected early November 2017).

 

The Role and Duties

 

The duties of the post will include developing the image tooling roadmap within Filament's suite of AI products:

 

  • The development of a visual classification and image tagging tool.
  • Front end development (user interface)
  • Planning and maintaining database structures and within the database structures to build appropriate datasets and analyse image tagging.
  • The development of the Functional Layer - e.g. segmentation, binarisation.
  • The development of the core machine learning platform: pattern recognition using both supervised and unsupervised machine learning techniques in the light of business needs. This will be executed using Java, Python or C++ programming.
  • Embedding of knowledge of image classifying within the company.
  • Creating operational documentation and providing subsequent support and training for users.

 

Qualifications and Skills Required


The post holder must have:

 

  • MSc or Higher Degree in Computer Science, Electronic Engineering or Physics.
  • High-level knowledge and experience of pattern recognition, computer vision, image processing, computational intelligence.
  • Knowledge of Java, Python or C++ programming.

 

Benefits

 

As a KTP Associate, the post will offer the following benefits

 

  • A personal development budget of GBP 6,000, a travel budget of GBP 6,750 and project consumables budget of GBP 4,500 (exclusive of salary).
  • Potential to study a part fee-waived course via the university.
  • Management training and mentoring by an Innovate UK KTP Adviser.
  • Full access to university resources to complete the project. 
  • An interesting and challenging role, with exposure to a variety of stakeholders.
  • World-leading Academic and Company project supervision, with project support by a dedicated, sector leading KTP Office.

 

Location
Filament Consultancy Group Ltd
Archer Street Studios
10/11 Archer Street
London
W1D 7AZ

 

At the University of Essex internationalism is central to who we are and what we do. We are committed to being a cosmopolitan, internationally-oriented university that is welcoming to staff and students from all countries and a university where you can find the world in one place.


Please see the further detail link below for a full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role plus more information relating to the post. We recommend you read this information carefully before making an application. Applications should be made on-line, but if you would like advice or help in making an application, or need information in a different format, please telephone the Resourcing Team (01206 874588/873521).

 

*Further detail: KTP Associate (Pattern Recognition Data Scientist) jobpack


*More information: Working at the University


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