HetSys: Industry Partners
HetSys students will be trained to model complex systems and can help businesses in addressing key challenges, with companies providing access to real world problems, and an understanding of financial and business pressures.
We have a range of industrial partners who provide varied support from PhD partnerships, advice and guidance and attendance at a range of events to taking part in industry study groups, giving guest lectures, providing training, software and other support areas.
Our partners help to provide a strong foundation that continues to develop along with our students.
If you are interested in collaborating with HetSys, please get in touch.
HetSys I - 2019-2027
These companies provided written support for the HetSys CDT as confirmation that industry need the skills that the HetSys' training programme develops in students. The HetSys training enables our students to become high-quality computational scientists who are able to work in interdisciplinary environments, have excellent communication skills, and are well prepared for a wide range of future careers in areas where there is demonstrable need.
| AstraZeneca UK Limited |
AWE-NST CEA-LETI |
HetSys 2 - 2024-2032
These companies provided written support for the HetSys CDT as confirmation that industry need the skills that the HetSys' training programme develops in students. The HetSys training enables our students to become high-quality computational scientists who are able to work in interdisciplinary environments, have excellent communication skills, and are well prepared for a wide range of future careers in areas where there is demonstrable need.
| Adjacency Group |
ANSYS UK Ltd |
Guest Lectures
These companies have provided guest lectures to our students:
| Mon 2 Feb 2020 | Latest Performance Enhancements to Gromacs on Single and Multiple GPUs, NVIDIA |
| Mon 29 Jun 2020 | The role of materials modelling, AWE-NST |
| Mon 21 Sept 2020 | Manufacturing and Modelling, Morgan Advanced Materials |
| Mon 19 Jul 2021 | E-Commerce for Materials Modelling, Goldbeck Consulting |
| Mon 15 Nov 2021 | On-the-fly machine-learned inter-atomic potentials: method and applications, Toyota |
| Wed 24 Nov 2021 | Product Engineering, Tata Steel Europe |
| Wed 1 Dec 2021 | Concurrent Product-Process Design; Challenges of formulated products, Unilever |
| Wed 8 Dec 2021 | Computational Modelling and Simulation For Medical Device Design, Crux Product Design |
| Wed 15 Jun 2022 | Lithium-ion battery electrolyte: simulating performance and degradation, BIOVIA |
| Mon 22 April 2024 | Materials Science Suite for Polymer and Battery Applications, Schrodinger |