UA Doctoral Training Alliance > DTA3/COFUND Marie Skłodowska-Curie PhD Fellowship programme

DTA3/COFUND Marie Skłodowska-Curie PhD Fellowship programme

University Alliance is a mission group representing and supporting modern civic universities with a professional and technical focus. Our work includes developing collaborative programmes through which our member universities seek to enhance their student experience and research such as the Doctoral Training Alliance – a unique cohort-based doctoral training programme with a strong interdisciplinary and industry-focused ethos. Its objective is to train and develop highly employable researchers in strategically important areas.The extended University Alliance Doctoral Training Alliance (DTA3) brings together our existing doctoral training initiatives in Applied Biosciences for Health, Energy and Social Policy following a €6.5million award from the European Commission, under the Marie Skłodowska-Curie (MSCA) COFUND scheme.
 

The DTA3/COFUND Marie Skłodowska-Curie PhD Fellowship programme (DTA3 / COFUND) will be delivered across a consortium of 15 universities across England, Wales and Northern Ireland. The fifteen universities are:

It will develop 83 early stage researchers from across the EU and beyond as internationally-connected, independent researchers with interdisciplinary and inter-sectoral skills and experience, ready for industrial employment in the European and UK priority challenge areas of healthcare, clean energy and social policy.

The programme will foster transnational mobility through an extended network of international associate partners in Europe and overseas, including Australia and South Africa, to provide recruitment and international placements.

Early stage researchers can apply for a Marie Skłodowska-Curie doctoral fellowships to obtain an interdisciplinary PhD at a DTA3 / COFUND university and join our wider DTA cohort currently made up of 150 students & 300 supervisors.

The project leading to this application has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 801604