Technical AI Governance (TAIG) DPhil Studentships are a first-of-their-kind opportunity for doctoral study that are designed to train researchers who can bridge the gap between advanced AI systems and effective governance. Affiliated with the technical branch of the Oxford Martin AI Governance Initiative (AIGI), at the University of Oxford, which is co-directed by Prof.
Collaborative Computational Modelling at the Interface (CCMI) is an EPSRC Centre for Doctoral Training (CDT), offering a fully funded 4-year PhD programme at University College London (UCL) and Imperial College London.
This programme consists of a four-year research thesis on the interface of computational sciences, research software engineering and data sciences, resulting in a PhD from UCL or Imperial.
The CCMI CDT positively encourage and welcome applications from members of underrepresented groups.
An exciting PhD project on the effects of heat transfer of transitional compressible boundary layers will be carried out under the UK Hypersonics Doctoral Network, which has been supported by the Ministry of Defence and EPSRC for building the necessary expertise to develop next-generation hypersonic vehicles.
FSMP's Paris Graduate School for Mathematical Sciences (PGSM) program offers to students, selected through an online application process, Masters' scholarships of 1 or 2 years.
Applications close on 3rd February 2026. For more information on the programme, the scholarship available and details on how to apply, please visit their website: PGSM master-FSMP
We’re pleased to share the launch of the MSc AI for Business
PhD positions are available in Computational Research, Data Science and Artificial Intelligence at the German Cancer Research Centre (DKFZ). DKFZ is Germany's largest biomedical research institute with its core site in Heidelberg, where computational scientists work at the forefront of AI and cancer research. They combine interdisciplinary approaches from computer science, medical informatics, physics, biology, bioinformatics and statistics to analyze and understand complex biological and medical data.
