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Research Associate in Materials Informatics

Imperial College London - Faculty of Engineering

Location: London
Salary: £45,593 to £53,630 per annum*
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 27th March 2024
Closes: 25th April 2024
Job Ref: ENG03054
 

Location: South Kensington campus

Contract: Full-Time, Fixed Term contract for 2 years

Job summary

We are looking for a Research Associate to join the research group of Prof. Aron Walsh (http://www.imperial.ac.uk/people/a.walsh) in the Department of Materials and Thomas Young Centre at Imperial College London.

The research project concerns the development and deployment of data-driven approaches for materials chemistry and physics. The topics of interest include:

  • Inverse design of modular crystals, including metal-organic frameworks
  • Machine learning forcefields to describe heat and charge transport in solids
  • Integration of artificial intelligence techniques to enable new materials modelling workflows

The target areas include clean energy conversion and storage, with a focus on semiconducting and mixed ionic-electronic conducting materials for photovoltaic and photoelectrochemical systems. Your cover letter should state your specific area of interest.

Duties and responsibilities

You will be responsible for contributing to a high-quality research programme involving a range of materials modelling techniques. These include aspects of computer programming, high-performance computing on the national supercomputer ARCHER2, first-principles methods such as density functional theory, and machine learning methods such as crystal graph convolutional neural networks. You will help to mentor other group members and work closely with our experimental collaborators.

Essential requirements

You will have completed a PhD (or equivalent) in theoretical or computational physical science (chemistry, physics or materials). You will have a strong research track record in the field and will be able to demonstrate an ability to understand and perform first-principles density functional theory calculations for solids, and train and evaluate machine learning models.

Further information

The role is available to start from October 2024 or soon afterwards.

*Candidates who have not yet officially been awarded their PhD will be appointed initially at Research Associate (with a salary range of £40,694 to £43,888).

For further information about the role, please contact Professor Aron Walsh (a.walsh@imperial.ac.uk).

Any queries regarding the application process should be directed to: Darakshan Khan (d.khan@imperial.ac.uk).

For technical issues, please contact: support.jobs@imperial.ac.uk

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level.

http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research/

We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender identity, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.

Closing date: 25 April 2024

Apply online via the above 'Apply' button.

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