|£40,524 to £48,763 per annum, inclusive of London Allowance
|27th November 2023
|4th January 2024
Based in the London Centre for Nanotechnology (LCN) at UCL - an interdisciplinary enterprise between University College London, King’s College London and Imperial College London – the group of Professor Green are pioneers in translating classical tensor network algorithms to run on quantum computers. Kuano Ltd are a biotech company specializing in the use of state-of-the-art simulation and AI to model the key quantum steps in pharmaceutically relevant chemical reactions. They are adept in the full suite of ab initio and tensor network methods for such modelling. Their aim is to find a unique fusion of drug hunting and quantum simulation expertise to illuminate new areas of chemical space enabling the design of next generation medicines. The National Quantum Computing Centre is the UK’s national lab for quantum computing. They work with businesses, government and the research community to deliver quantum computing capabilities for the UK.
About the role
Funding from Innovate UK brings together UCL, Kuano Ltd and the National Quantum Computing Centre in a collaboration to investigate how tensor networks and future quantum computers might be used to simulate the dynamics of chemical reactions. We are seeking a postdoctoral researcher to work in the group of Professor Green at UCL developing tensor network algorithms to run on classical and quantum computers. These algorithms will be used to simulate simple models of chemical reaction dynamics, with the future aim of use in enzyme targeted drug discovery. This role will be full time and is funded for 12 months. Our preferred start date is 29th Jan 2024, but there is some flexibility around this. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at research assistant Grade 6B £36,832-£38,466 including London Allowance with payment at Grade 7 being backdated to the date of final submission of the PhD thesis per annum including London Allowance. Informal enquiries regarding the vacancy can be made to Prof Andrew Green.
The successful candidate will have (or have submitted their thesis towards) a higher degree qualification (PhD or equivalent) in theoretical condensed matter physics, quantum information, or a closely related area. Mastery of analytical/numerical tools used to model quantum many-body systems is necessary, preferably with experience in using tensor network and/or quantum circuit simulations.
What we offer
As well as the exciting opportunities this role presents, we also offer some great benefits. Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.
Our commitment to Equality, Diversity and Inclusion
As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. Our department holds an Athena SWAN Silver award, in recognition of our long-term commitment and 'beacon' status in advancing gender equality. You can read more about our commitment to Equality, Diversity and Inclusion here: https://www.ucl.ac.uk/equality-diversity-inclusion/.
Closing Date: 23:59 Thursday 4th January 2024
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