A position is available for a KTP Associate to work on a collaborative project between the University of Sheffield and Passion for Life Healthcare Group (UK) Limited (PFLH). PFLH designs, manufactures, and distributes a range of products for the diagnosis and treatment of snoring and obstructive sleep apnoea (OSA), conditions which are increasingly recognized as potentially presenting long-term health issues to the sufferer. In conjunction with University of Sheffield and several other universities PFLH has developed objective acoustic measurement techniques for snoring sounds and wearable sensors that map respiration and body movement. All of this contributes both to OSA and snoring diagnosis and product development for treating these conditions. As a KTP Associate, you will work on an exciting knowledge transfer partnership project on acoustic analysis and low-cost sensor integration for diagnosis of OSA.

This is an exciting and challenging opportunity for an ambitious graduate, supported by Kingston University academics and based at Instinet, a leading global broker of equities, in London. This KTP project will develop and deploy innovative machine learning techniques for trading execution performance and monitoring. You will lead the development of theoretical, practical and organizational capabilities, to deploy machine-learned products to improve the execution performance of equity trading, and machine-learned tools to monitor this performance. You will also have responsibility for authoring reports and academic publications that describe aspects of your work, and the potential impact for Instinet and its clients. You will be working alongside another KTP Associate, employed as a Machine Learning Scientist.

This is a unique and exciting opportunity, supported by Kingston University academics and based at Instinet, a leading global broker of equities, in London. This KTP project will develop and deploy innovative machine learning techniques for trading execution performance and monitoring. You will have primary responsibility for the application of these techniques, to deploy machine-learned products to improve the execution performance of equity trading, and machine-learned tools to monitor this performance. You will also have responsibility for authoring reports and academic publications that describe aspects of your work, and the potential impact for Instinet and its clients. You will be working alongside another KTP Associate, employed as a Systems Architect.

This is an exciting opportunity for an ambitious graduate with the ability and confidence to manage a Knowledge Transfer Partnership (KTP) project with 365Response. The University of Manchester and 365Response are looking to recruit a Research Associate/Postdoctoral Researcher to undertake this 30 month project which has an overall aim of developing new tools to improve transport flow and resource utilisation across health and care to improve quality of care for service users and efficiency for providers. The position will provide you with a unique opportunity to lead the transfer of knowledge from the University of Manchester through to the health & care industry, the development of novel algorithms that tackle transportation problems in health & care and their implementation in 365Response software platform. You will require a recently-obtained minimum of a 2:1 degree (or equivalent) and a PhD in a subject related to machine learning and/or mathematical optimisation (e.g., Computer Science, Physics, Engineering, Applied Mathematics, Business Analytics, Operations Research, Business Engineering, Data Science, Data Analytics, Artificial Intelligence, etc.), 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.

Interested in shaping the future of cyber/data security and having an impact on the UK's economy?Are you an up and coming cyber security engineer with an interest in artificial intelligence and machine learning in a business context, looking to accelerate your career? Are you interested in understanding the role of human behaviour in cyber security? If so this may be the role for you. We're looking to appoint an enthusiastic and dynamic graduate. You'll lead/deliver the 36-month Knowledge Transfer Partnership (KTP) project between Clearswift Ltd and the University of Surrey, working with both the company and university academics.