Location: | London |
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Salary: | £48,614 to £57,041 |
Hours: | Full Time |
Contract Type: | Permanent |
Placed On: | 24th March 2023 |
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Closes: | 7th May 2023 |
Job Ref: | B04-03547 |
About us
University College London (UCL), located in the heart of the historical area of Bloomsbury in central London, UK, is one of the top-rated universities in the world. The Department of Physics and Astronomy at UCL wishes to hire a Lecturer (Assistant Professor) in Computational Materials Science. The appointment is a full-time academic position.
About the role
We seek candidates to develop a research group in computational materials science. The successful candidate will become a member of the Condensed Matter and Materials Physics (CMMP) group in the Department of Physics & Astronomy at UCL and the Thomas Young Centre London for the Theory and Simulationof Materials and Molecules. The CMMP has close links with the London Centre for Nanotechnology (LCN) and other interdisciplinary centres and networks at UCL, e.g. the Institute for Materials Design (IMD).
Our present interests in the area of computational material science include, for example, electronic structure of defects, charge and energy transport processes in solids, at surfaces and materials interfaces, as well as quantum and classical molecular simulations of molecules, biomolecules, and soft materials including the use of enhanced sampling and machine learning methods. We welcome applications from candidates whose research will strengthen and diversify our present research interests in these areas. We particularly welcome applications from candidates with a strong interest in developing and applying physics-based artificial intelligence and/or multiscale methods that accelerate the simulation or discovery of functional materials (e.g., optoelectronic, energy storage and energy conversion materials amongst others). The methodologies developed should make experimentally verifiable predictions or help understand and explain experimental measurements. Priority will b! e given t o the overall originality and promise of the candidate’s work over any particular specialisation area.
The full Job Description and Person Specification can be found in the “Available Documents" section below. Candidates will need to upload
(1) a CV (including a list of publications and of previous research funding as appropriate),
(2) a statement of research interests and plans as well as the candidate’s approach to research culture (3 pages maximum),
(3) a teaching and education statement (2 pages maximum), and
(4) the contact information for three people from whom letters of reference may be requested.
A cover letter can be included using the non-mandatory section to upload additional documents which may support your application.
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