Developing specialist computational skills in collaboration with UK universities
We work with UK universities to offer a range of postgraduate training opportunities through Centres for Doctoral Training.
What is a Centre for Doctoral Training (CDT)?
The CDT programme evolved from the earlier Doctoral Training Partnerships (DTPs) to increase the focus on preparing students for professional work in industry or academia. CDTs offer students the opportunity to gain hands-on experience through extensive training activities and projects with industry. That’s why the Hartree Centre is a perfect partner – we use our extensive experience working with UK businesses to ensure that projects undertaken by the CDTs have real industry challenges built in.
What does the Hartree Centre offer to its students?
We collaborate with universities or academic institutions to offer a range of pre-agreed support. This could include research project supervision from our experienced scientists, training courses, mentoring schemes and access to our technologies and infrastructure.
Under our supervision, students may also be granted access, where available, to seminars, workshops and free training on both technical (according to their discipline or specialism) as well as non-technical subjects such as project management, intellectual property, grant writing and more as we share our experiences as a world-leading applied high performance computing, data analytics and artificial intelligence (AI) research centre.
Why does the Hartree Centre support CDTs?
Advanced computing technologies, data science and AI are now applied widely across many diverse sectors and industries, and the UK Government has recognised the need to build resilience in technical and applied skills of the population as part of the Industrial Strategy. Upskilling the current and future workforce will help to futureproof businesses and ensure maximum productivity and economic impact.
Here at the Hartree Centre, we’re boosting the productivity of UK industry through the application and integration of advanced computing technologies, so we’re ideally placed to help address this skills gap. By collaborating with universities on post-graduate programmes like Centres for Doctoral Training (CDTs), we aim to cultivate industry-relevant and cutting-edge technical skills within the next generation of computational science, data and AI experts.
LIV.INNO will be an inclusive hub for training diverse cohorts of excellent students in data intensive science. It will provide targeted training to meet a growing skills gap in the area of data science which has seen a dramatic increase in many fields of science and engineering, due to the advancement of sensors, mobile devices, biotechnology, digital communication, and internet applications.
At the Hartree Centre, we apply transformative advanced computing, data analytics and AI technologies to industry-relevant challenges, and this is reflected in the projects we’re co-supervising with the University of Liverpool as part of the Distributed Algorithms CDT.
Through each of the funded projects, we hope to provide you with an exciting and engaging area of cutting-edge computational science to immerse yourself in, whilst also delivering essential training in sought-after technical skills that are valued by both science and industry, setting you up for future career success.
The MSc in Big Data and High Performance Computing (HPC) provides students with an in-depth understanding of big data analysis and processing using high performance computing technology. It enables students to gain a specialist qualification in an area of computing that is in great demand worldwide.
Thanks to our hands-on experience and close ties with industry, our data and high performance computing experts are uniquely equipped to provide valuable guidance and assistance to students for group and final individual projects, the latter of which are conducted in partnership with commercial and/or non-commercial organisations. We’re proud to be supporting the next generation of computational scientists and contribute to addressing the digital skills gap in the UK.