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Senior Research Associate

Mathematics & Statistics
Salary:   £32,958 to £38,183
Closing Date:   Thursday 16 March 2017
Interview Date:   Monday 27 March 2017
Reference:  A1778

An exciting opportunity exists for a researcher to develop bandit algorithms for personalised pricing in a collaborative research project between Lancaster University and a commercial partner. This is an opportunity to use commercial needs outwith the technology sector to inspire the next generation of bandit theory, 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 data science team of 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 bandit algorithms you will develop will need to contend with contextual information, low probabilities of success, and delayed feedback.  You will develop new theory and publish it 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, operational research, or a related discipline.  Experience of developing bandit theory 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 prototypes.

The position is available for immediate start, and will run for 24 months.  Interviews will be carried out shortly after the closing date.

Interested candidates are strongly advised to contact Prof. David Leslie in advance of making an application (d.leslie@lancaster.ac.uk).

We welcome applications from all diversity groups. The Department provides a research environment that strongly supports the individual needs of each member, promoting a healthy work-life balance. We are committed to family-friendly and flexible working policies on an individual basis, as well as the Athena SWAN Charter, which recognises and celebrates good employment practice undertaken to address gender equality in higher education and research.

The closing date for this job opportunity has now passed, and applications are no longer being accepted for this position

Further details:

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