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Senior Research Associate
Mathematics & Statistics
£33,518 to £38,832
Friday 01 December 2017
Thursday 14 December 2017
An exciting opportunity exists for a researcher to develop online changepoint algorithms for a digital health application in a collaborative research project between Lancaster University and a commercial partner. This is an opportunity to use commercial needs within the digital health sector to inspire the next generation of online changepoint approaches, and to gain experience of working with industry while part of the UK’s leading department for industrially-relevant statistics and operations research.
Data will be provided by the commercial partner, who already conduct extensive statistical analyses, and who will share models and expertise to help you gain the necessary insights into the problem. The online changepoint algorithms you will develop will need to contend with individualized profiles, complex data structures and incomplete data. You will develop new algorithms and publish them in journals and/or conferences. You will also be required to develop working prototypes to pass to the commercial partner for live deployment.
You should have completed, or be close to completing, a PhD in statistics, machine learning, or a related discipline. Experience of developing changepoint algorithms is desirable but not essential. However it is imperative that you have a demonstrable ability to both carry out and publish academic research, and to develop research-level software.
The position is available for immediate start, and will run for 12 months. Interviews will be carried out shortly after the closing date.
Interested candidates are strongly advised to contact Dr. Rebecca Killick (firstname.lastname@example.org) in advance of making an application.
We welcome applications from people in all diversity groups.
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