AI and Data Scientist in Digital Healthcare IoT (KTP Associate)

Nottingham Trent University

Who are Integrated System Technologies

Founded in 1997, Integrated System Technologies (IST) Ltd are global pioneers in the design and delivery of smart building technologies that help global organisations significantly reduce their carbon footprint, through innovative smart lighting and building management solutions. Headquartered in the heart of the UK, IST serves an extensive international client base with a world-leading range of smart building products

About You and the Role 

An exciting new opportunity has arisen for a Data Scientist in Internet of Things to work in partnership with IST and Nottingham Trent University (NTU) as part of a collaborative project.

We’re seeking a skilled professional with a background in Statistics, Data Science, AI, and Computer Programming to join our dynamic team. The successful candidate will be pivotal in implementing machine learning technology for virtual wards, evaluating the system for AI ethics and in-field performance, and liaising with stakeholders from the NHS to IT professionals for prototyping AI algorithms. An integral aspect of this role involves collaborating on multi-user, multi-site database design, interfacing with IoT sensors, and leveraging both SQL/NoSQL server databases.

You will have at minimum an Undergraduate degree in Computer Science or related field e.g: Engineering, Maths, Physics, Statistics, AI or Data science.

The role is part of a Knowledge Transfer Partnership (KTP) funded jointly by Innovate UK and IST Ltd. As a KTP Associate, you’ll work with the academic team and colleagues across IST Ltd to embed knowledge and initiatives. The position will offer the ideal opportunity to apply your knowledge and experience in order to springboard your career. It includes a £4,000 training budget, 10% of your time dedicated to your own personal development and the potential to further qualifications. Read more about the scheme here: www.ktp-uk.

Questions? We recommend you get in touch with Dr Yangang Xing, Associate Professor ([email protected] )

Interviews will be via Microsoft Teams on 24 November 2023

Please note if you’re applying for this position, you should not have previously been employed as a KTP Associate

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