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ESRC LISS DTP Collaborative (CASE) STUDENTSHIP 2017-18 Application Please complete this form and email to [email protected] by the deadline of 17:00 GMT, 12 April 2017. Please refer to the guidance at https://www.liss-dtp.ac.uk/casestudentships-student-applicants/ Your details Name: Surname / Family First name(s) DD/MM/YYYY Student ID # (where Email: Date of birth: known) The project/degree programme for which you are applying Project title Supervisor/Department Institution (delete as appropriate) KCL QMUL Imperial If you are applying for a 1+3 CASE studentship, which Masters programme (associated with this project) will you be applying for? Have you applied for study at your proposed institution? If yes, have you been accepted? (if not, this process can be completed if you are awarded the studentship) Will you also be applying for Research Council funding at a different institution? (This information does not have any influence on our selection process). Residency status: which countries have you resided in for the last 3 years? (please list, with dates) Summary of Academic Qualifications (university/higher education degrees held or currently being studied for) University & Department Subject(s) studied Number of years studied Type of Class/grade Dates of degree e.g of degree, study (To BSc, MA (i.e. GPA) – From) Other awards, prizes, achievements and/or professional qualifications (add more rows as needed) Qualification, professional experience, etc. Date Institution/Awarding body Description Work Experience (add more rows as needed) Position Organisation Dates of Employment Description Research Council Eligibility Have you previously received Research Council funding? Yes No If yes, please state which Research Council and for how long Research Methods Training Please provide details of all previous research methods training and experience that you may have gained from undergraduate degrees, Masters degrees or professional experience. For example: Theory & epistemology: Positivism, Experiments, Interpretivism, Feminism, Post-colonial critique, Marxism, Poststructuralism, Ethnography, Ethno-methodology, Case study, Policy oriented, Action research, Mixed methods Qualitative methods: Archival methods, E-resources and social media, Auto/biography (including life histories), Interviews, Focus groups, Participant observation, Content analysis, Narrative methods, Visual methods, Discourse analysis, Conversation analysis Quantitative methods: Quantitative research design, Sampling, Questionnaire design, Descriptive statistics, Probability, Data manipulation & handling, Non-parametric statistics, Basic inferential statistics, Analysis of variance, Linear regression with a continuous DV Course, module or work-based training title Date Institution Detailed description (specific methods covered; credits and/or number of hours; forms & outcomes of assessment) Personal capacity statement: Please provide us with a statement on the 2 blank pages below covering: - Why you are interested in undertaking the named LISS DTP CASE studentship; - What relevant existing skills, training and knowledge you would bring to the project; - Any ideas or proposals you have for developing/executing the specified project. The proposed research section must not exceed 2 pages (size 11 Times New Roman, single spacing, using the existing margins). If you exceed this limit, you may be penalised. Declaration By submitting this form: ~ I understand that my application for funding is valid only if all required information is provided by the set deadline, which includes: 1) a LISS DTP CASE Studentship application form 2) a CV 3) copies of academic transcripts for all relevant degrees 4) 2 references (either 2 academic references or 1 academic reference and 1 professional reference) ~ These items must be submitted via email to [email protected] by 12 April 2017, 17:00 GMT Data Protection By submitting this form, you agree that King’s College London/Queen Mary University of London/Imperial College can process your information and keep a copy of your form to collect statistics and detect and prevent fraud. The Data Protection Act allows you to ask us for a copy of all the information we have about your application.