PhD Studentship Identifying and Understanding Complex Behaviour From Transactional Data

Applications are invited for a PhD position in marketing to join The University of Nottingham, UK. Applicants should apply before January 23, 2019.

We are looking for an enthusiastic PhD student who will undertake original multi-disciplinary research in the fields of data science/machine learning and consumer/human behaviour.

Supervised by N/LAB's experts in data science/machine learning this PhD studentship provides an opportunity for people interested in developing novel statistical measures and methods to quantify, understand and leverage complex consumer behavioral regularity. Working with already acquired real world data (representing over 16 million regular customers) from N/LAB's extensive group of collaborating industrial partners, the PhD provides an unparalleled opportunity to push forward research that will drive significant impact in predictive and descriptive analytical applications as well as contributing to knowledge regarding consumer/human behaviour.

Identifying and understanding regularity in consumer behaviour is a key component of business analytics. Examples range from customer/store segmentations (e. g. frequency) to automated predictive systems (e. g. automated email targeting) and management key performance indicators (e. g. repeat buying behaviour). However, regularity remains a tricky thing to measure. Traditional methods; such as average purchase frequency, repeat brand rate or statistics quantifying deviations from random interevent times are too coarse grained to adequately capture the true complexity of our 'regularity'. This significantly reduces their utility as measures/features in end-use applications, such as customer segmentation/understanding (i. e. within marketing campaign development or management strategy planning) or customer behaviour prediction (i. e. churn prediction).

However, in reality the behaviour is regular once these factors are taken into account.

Recent advances in computational methods, and the systematic collection of consumer transactional data, now mean that the more complex measures of consumer behaviour regularityare within reach.

This funded PhDs will commence from 1st October 2019. A yearly stipend at current RCUK rates (14,777), plus UK/EU student tuition fees (4,350), is available to the successful applicant.

Complete the online application. Your application must include a research proposal and should indicate the area in which the research will be conducted and the key issues that you want to examine in more detail.

Entry onto our PhD programme is very competitive. If you fulfil all of the admissions requirements it does not guarantee that you will be offered a place.

Closing date: 23.59pm [BST] on 23rd January 2019. Applications submitted after this time will not be considered.

Shortlisted candidates will be called for interview to be held in Nottingham on Thursday 7th February 2019.The successful candidates will be notified by Friday 15th February 2019.

We are holding a PhD open day on Wednesday 12th December 2018more details can be found here.


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