The Faculty of Natural, Mathematical & Engineering Sciences (NMES) comprises Chemistry, Engineering, Informatics, Mathematics, and Physics - all departments highly rated in research activities and a wide-ranging portfolio of education programmes.
About the role
Applications are invited for a postdoctoral position in the group of Dr. Chiara Gattinoni - within the Theory and Simulation of Condensed Matter research group - on the materials modelling of ultrathin ferroelectric films.
The overall goal of this research project is to produce strategies to manipulate the polarization in ultrathin ferroelectrics, and to design ferroelectric thin films possessing the desired magnitude and direction of the polarization.
The successful candidate will develop machine learned interatomic potentials for the study of ultrathin ferroelectric films.
This position is supported by the EPSRC New Investigator Award grant "Customisable polarization in ultrathin ferroelectrics".
The position is based in the Department of Physics, King's College London on the Strand Campus in the heart of central London.
This is a full-time post (35 Hours per week), and you will be offered a fixed term contract with a 6 months length.
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Artificial intelligence (AI) is evolving rapidly, and we recognise its growing role in professional work. Applicants may use AI tools to support preparation of their application, for example to research the role or structure written responses. However, applications must reflect the applicant's own work and experience. AI tools should not be used during interviews or assessment activities unless this has been agreed in advance as a reasonable adjustment. Further guidance on the use of AI in recruitment can be found .
We reserve the right to close adverts early due to the volume of applications we receive. While the closing date may change, all adverts will close at 23:59 to allow sufficient time for applications to be submitted on that day.
To be successful in this role, we are looking for candidates to have the following skills and experience:
- BSc in Physics, Materials Science of related subject
- PhD in Materials modelling, computational physics or related subject (either complete or close to completion)
- Excellent skills in programming and data analysis
- Experience of atomistic simulation techniques
- Ability to work independently and as part of a team
- Excellent communication skills
Desirable criteria
- Experience of atomistic modelling of ferroelectric materials
- Experience in development and application of machine learned potentials
The available postdoctoral associate position is based in the Physics Department at King's College London, one of the UK's best Physics Departments with the QS World University Rankings placing us in the top 10 universities in the country. At King's, we believe that the diversity of our community and a culture that is welcoming, open, inclusive and collaborative, are great strengths of the university.
Grade and Salary : £39,076 - £43,909 per annum, including London Weighting Allowance Job ID : 159665
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Research Assistant in Materials Modelling in City of Westminster employer: King's College London
At King’s College London, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through comprehensive training opportunities and a supportive environment that encourages professional development. Located in the heart of London, our institution offers unique advantages such as access to world-class resources and a vibrant community dedicated to advancing research and education.
