CREST is inviting applications for three fully-funded PhD studentships for understanding, mitigating and countering security threats. The studentships are available for three years, starting October 2016. The successful applicants will join a cohort of students who are part of an interdisciplinary community within CREST.
The PhD topics are described below. Students will be registered at Lancaster University. All students will enjoy interdisciplinary supervision from researchers at Cranfield University (CU), Lancaster University (LU), and the Universities of Bath (UBath), Birmingham (UoB), Portsmouth (UoP) and West of England (UWE). They will also benefit from unprecedented opportunities for interdisciplinary research training and engagement with stakeholders.
Examining Social Influence and Information Provision in Human Intelligence Interviews
(Kirk Luther and Professor Paul Taylor [LU])
This PhD will examine the use of social influence tactics (e.g., social proof, micro-affirmations) to increase information provision in human intelligence interviews. The use of techniques that increase the quantity and quality of provided information, and motivate interviewees to relay information to human intelligence interviewers, is paramount to the investigative process. This PhD will continue the work conducted at Lancaster and elsewhere in understanding these processes and when and how they work effectively. The student is likely to make use of Lancaster’s state-of-the-art interview rooms and recording equipment to study human behaviour in a realistic setting. For more information on this PhD or to apply click here.
Enhancing our Understanding of Digital Traces
(Dr David Ellis [LU] and Dr Lukasz Piwek [UBath])
The studentship will explore how digital footprints from wearable and mobile technologies can be used to infer details about their user. The PhD will (1) explore how data from wearable devices (e.g., movement, location and sleep quality) can predict other psychologically relevant traits (e.g., personality, mood); (2) aim to build a series of computational models that can accurately identify changes in an individual’s everyday behaviour; and (3) consider how, in conjunction with other physiological measures (e.g., heart rate), this data could predict more complex psychological states (e.g., depression). For more information on this PhD or to apply click here.
Uncovering Social Processing of Multi-Channels in Dyadic Cooperation
(Professor Paul Taylor [LU] and Professor Aldert Vrij [UoP])
This PhD will examine how verbal and nonverbal behaviour come together in dyadic interactions where people cooperate or compete. How are the messages sent by each channel synthesised (made sense of) and what happens when they appear to contradict one another? Although the PhD studies may make use of a range of methodologies, it is expected that some will draw on Lancaster’s full-body motion capture paradigms using XSens MVN, and a new virtual reality paradigm that allows the study of people’s verbal and nonverbal reactions in an ‘immersive’ police interview simulation. By developing our understanding of cooperation, this PhD is expected to contribute to expertise in interpersonal skills and information elicitation. For more information on this PhD or to apply click here.