SGSSS Steers Studentship Competition 2022/23
The 2021/22 competition has now closed for applications. The outcome of the competition will be announced on 10 February 2022 (by 5pm)
The 2022/23 competition will open for applications on 31 August 2022
The Scottish Graduate School of Social Science is delighted to announce the pre-launch of the supervisor-led SGSSS Steers Studentship Competition 2022/23
In line with the ESRC’s core commitment to enhancing social science capability and building capacity in priority areas, the SGSSS is running a two stage supervisor-led competition awarding funded studentships in the following priority areas (steers):
- Advanced Quantitative Methods (AQM)
- Interdisciplinary research which straddles other research council remits
To find out more about each steer, please see the ESRC’s Guidance on Steers and Targets. Please note, additional information on Datasets is included in the competition guidances (to be updated for 2022/23 by 31 August).
During the 2022/23 competition, SGSSS intend to award up to 4 studentships per steer, resulting in approximately 12 awards in total.
The first supervisor must be a member of a HEI in Scotland that is accredited to hold studentships within their disciplinary pathway, and must have undergone supervisor training within their institution within the last 5 years.
Second supervisors may work within any of the SGSSS 16 partner HEIs. We encourage applicants to consider co-supervision with different universities across our network. You can find full information about the SGSSS partner universities online here.
Please submit a Stage 1 application (Expressions of Interest) via our application system, SGSSS Apply, by the deadline of 6 October at 4pm (will open on 31 August).
Competition Guidance and Documentation
Supervisor-led Studentships Q&A
On 6 September between 2pm and 3pm, SGSSS will host a Q&A session for interested applicants. This session will provided an overview of all four Supervisor-led Competitions. If you would like to attend, please click here at the relevant time and date.
Due to the various complexities of the three steers (AQM, datasets and interdisciplinary) either Dr Alan Marshall or Professor Lydia Plowman have provided some additional guidance in the form of the below videos and the accompanying slides (available to download as pdf documents).