EPSRC Doctoral Landscape Awards - Computer Science and Technology
Not specified
No deadline
United Kingdom
individual
About This Opportunity
EPSRC Doctoral Landscape Awards (previously known as EPSRC Doctoral Training Partnership awards) enables departments to support students across a wide range of Engineering and Physical Science research areas. Due to the flexible nature of the Landscape funding, the number of studentships available each year vary as Departments may leverage other funding opportunities, e.g. with Industry Partners, Colleges and other University funding. Studentships are fully-funded at the Home fee rate and UKRI stipend level. Funding for consumable costs, and training (which is an integral part of all doctoral studentships), are also provided. Up to 30% of awards may be made to international students. DLA students have access to a Research Training Support Grant (RTSG) of up to £1,000 per year, to cover project-specific consumables and equipment. Students from groups currently underrepresented in Engineering and Physical Science subjects are particularly encouraged to apply, including women, Black British, British Bangladeshi and British Pakistani applicants, as well as people from low-income backgrounds, mature students, care-experienced students, and students from families where no parent or care-giver went to university.
Who Can Apply
- Region
- United Kingdom
- Citizenship
- United Kingdom
- Residency
- United Kingdom
- Project in
- United Kingdom
- Applicants
- individual
- Priority for
- women_in_stem, racial_minorities, low_income, first_generation
Application Details
Stages
- 1 single_stage
Review process
Selection based on academic merit and suitability for available projects
Additional benefits
- training
- equipment
Restrictions
- reporting_requirements
Post-award obligations
- final_report
External Application
This opportunity requires you to apply directly on the funder's website.
Apply on External SiteAI-Extracted Data
This opportunity was automatically extracted from an external source using AI. Details such as amounts, deadlines, and eligibility may be incomplete or inaccurate.
Always verify on the official sourceKey Information
- Award Amount
- Not specified
- Application Deadline
- No deadline
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