Tag Archives: KTP

Come and work with me: Data Scientist (KTP Associate)

Fancy working with me on a Knowledge Transfer Partnership (KTP) project in collaboration with Yard Associates, funded by Innovate UK with support from the Welsh Government?

A Data Scientist/KTP Associate position is available to develop an adaptable web analytics framework for predicting future purchasing behaviours and recommended marketing strategies based on attributed visitor history and interaction data, using hybrid machine learning and big social data analytics. Emerging research — and the development of practical toolchains — leveraging machine learning, social network analysis, natural language processing, sentiment analysis, data science and big data analytics are making a significant impact on a wide range of sectors. However, there exists a significant translational research problem: in applying and developing these emerging research advances into intelligent, adaptable and usable toolchains for a wide range of markets. This project thus aims to new products and services in the web analytics space for Yard, based upon novel and hybrid machine learning/big data analytical approaches.

This is a two year project, with a pro-rata salary of £21,000 (as well as a generous budget for professional development, including an opportunity to complete a funded MPhil at Cardiff Met). For informal enquiries, please drop me an email: tcrick@cardiffmet.ac.uk; further information and how to apply can be found on the Cardiff Met website.

Deadline for applications: Wednesday 15 June.

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Come and work with me: KTP Associate in Big Social Data Analytics

Fancy working with me on a Knowledge Transfer Partnership (KTP) project in collaboration with Coup Media (funded by Innovate UK with support from the Welsh Government)?

A KTP Associate position is available to develop an adaptable social media analytics engine and associated framework for the film and media industry to capture consumer insight, marketing perceptions, sentiments, trends and rankings using big social media datasets. With the explosion of social networking, there is a clear correlation between box office takings and sentiments, opinions and perceptions expressed in the public domain on social media platforms. This project aims to leverage this by developing an extensible and adaptable social media sentiment engine using big social datasets (initially targeting Twitter) to rank movies by opinion, informing industry marketing decisions and providing commercially valuable insight into the public’s emerging movie tastes and selections.

This is an 11 month position, with a pro-rata salary of £21,000. For informal enquiries, please drop me an email: tcrick@cardiffmet.ac.uk; further information and how to apply can be found on jobs.ac.uk and the Cardiff Met website.

Deadline for applications: Friday 19 June.

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