HetSys News

We are pleased to announce that the programme of talks as part of the student-led Computational Toolkit seminar series is now available.

The aim of this series is to create a "computational toolkit" of resources and tutorials, aimed at helping those just beginning in the field, and offering a more practical introduction to computational science as a whole. It will cover a range of topics relevant to someone who’s just taking an interest in computational science as a whole, or a programming tool, but will also include talks on more complex tools.

Convened by Idil Ismail (3rd year Hetsys PhD Student) and featuring talks from HetSys students as well as guests from other centres and organisations, the talks will take place each Tuesday at 16:00 GMT starting on the 1st February 2022.

HetSys is pleased to be supporting "Exploiting Machine Learning in Multiscale Modelling of Materials" in the week commencing 13th December.

The event is a UKIERI-DST (UK-India Education and Research Initiative-Department of Science and Technology) Partnership Development Workshop which aims to to help researchers from India and the UK to come together and provide an overview of developments and trends on mutual themes of interest, share their research findings and explore joint collaborations and partnerships. In addition, the workshops aim to support international development-relevant research.

Exploiting Machine Learning in Multiscale Modelling of Materials (EMLM³) has been organised by HetSys co-Director James Kermode and Gautam Anand from the Indian Institute of Engineering Science and Technology and will bring together physical scientists, materials scientists, engineers and mathematicians from the UK and from India for discussion on the development of machine learning algorithms along with envisaging the possible applications for challenging problems in materials science and engineering. This workshop will also involve students and researchers associated with HetSys, which we anticipate will also help to initiate collaborative research grants in the area of machine learning and multiscale modelling of materials.

We are pleased to announce that applications for studentships starting 2022-23 are now open!

We are looking for enthusiastic students from across the physical sciences who enjoy using their mathematical skills and thinking flexibly to solve complex problems. We require at least a 2(i) honours degree at BSc or an integrated masters degree (e.g. MPhys, MChem, MSci, MEng etc.) in a physical sciences, mathematics or engineering discipline.

We have a range of exciting projects from across the three HetSys research themes. Our Centre for Doctoral Training has several funded scholarships available, which cover full fees and stipend payable at current UK Research Council rates along with a generous research training support budget.