Opportunities for postgraduate research students
South East Network for Social Sciences (SeNSS)
The South East Network for Social Sciences (SeNSS) is one of 14 new Doctoral Training Partnerships funded by the ESRC. Beginning in 2017-18, SeNSS will be awarding 28 studentships across the partner institutions.
City is now part of SeNSS, which also comprises:
- Essex (as coordinating institution)
- University of East Anglia
- University of Kent
- University of Reading
- University of Surrey
- University of Sussex
- Roehampton University
- Goldsmiths (University of London)
- Royal Holloway (University of London)
Potential students can apply for a 2017-18 SeNSS studentship online. Applications need to arrive at City Economics Department by 5 January 2017 to enable a short-list of three to be submitted to SeNSS for final selection.
Advanced research training
Each year a number of workshops are made available to doctoral students at advanced level. This system is flexible and additional workshops can be included based on student demand.
Proposals for 2015/16 include:
- Computational modelling
At the end of this workshop, you will be able to demonstrate a substantive understanding of maximum-likelihood parameter estimation, a substantive understanding of the bootstrap re-sampling principle for generating confidence intervals and to implement advanced numerical approaches for simulating, fitting, and comparing computational models using Matlab.
- Web-based behavioural research
At the end of this workshop, you will be able to demonstrate an advanced understanding of the design, ethical and related issues that need to be considered in web-based research, you will be able to develop a comprehensive understanding of how to use specialist software (Qualtrics) to support research online and analyse in-line data. In addition, you will also be able to demonstrate a sensitive, ethical and responsive stance towards participants in web-based research.
- Analysing Social Attitudes and Social Change, the European Social Survey (ESS) in Context
At the end of this workshop, you will be able to demonstrate an advanced understanding of regression models for nominal, categorical and ordinal data, they will be introduced to models of change and time-lagged independent models and will be provided with strategies for controlling for the institutional context that multinational analyses require. You will also be able to perform statistical operations and produce tables and graphs by interrogating NESSTAR.
- Researching Consumer Behaviour
At the end of this workshop, you will be able to demonstrate a critical appreciation of existing knowledge of the main perspectives in consumer behaviour and to critically evaluate the benefits and implications of each approach. You will also be able to demonstrate an understanding of ways in which the processes of judgment and choice might be improved (the “nudge” approach) in various decision making contexts. You will also be able to demonstrate a broad understanding of consumer culture, its impact on social structures and individual agency as well as critically reflect on potential public policy implications of consumer society.
- Irreversible Investment Under Uncertainty
After attending this workshop you will have an understanding of key techniques of stochastic calculus and financial mathematics and be able to critically apply these to investment decisions and problems in a range of contexts. You will also be able to critically assess and interpret the mathematical results and infer what they say about investment behaviour in different settings.
Departmental research seminars
Each department provides a seminar series for doctoral students. These provide an opportunity to engage with the broader research community, exchange ideas and become familiar with the role of a doctoral student. All doctoral students are expected to attend research seminars and to present on their own research. A number of research centres also offer seminars to which doctoral students will be invited based on their research interests. Attendance is normally voluntary but in some cases these attendance may be required.
Core research methods
All students are eligible to attend and enroll on modules within the MSc Research Methods. Students may be exempted from this programme (or elements of it) on the basis of previous research training or experience but this must be agreed in advance with their supervisors on the basis of evidence supplied. In all other cases doctoral students will be expected (and may be required) to attend this programme in order to acquire the core research skills needed at doctoral level.
In addition students will be required to attend additional specialist training within their disciplines to acquire specific research skills this training may be available within modules or via workshops (further details are available in doctoral student handbooks and any recommendation or requirement will be discussed with the individual student’s supervisor).
Departments are currently exploring the provision of specific advanced level training either independently or through a consortium. Details of these will be found in individual handbooks. In some departments attendance at advanced training modules and/or workshops is compulsory, find out more.