PhD project Automated solid state synthesis robotic workflow
PhD @University of Liverpool posted 3 days agoJob Description
Overview
This funded PhD project will develop and exemplify a robotic workflow to perform solid state chemistry reactions. This will consist of an automated weighing and mixing stage, coupled with a high temperature furnace to perform the reactions.
About this opportunity
The experimental discovery of new inorganic materials shows us how crystal structure and chemical composition control physical and chemical properties. It is therefore critical for our ability to design functional materials with the properties we will need for the next zero transition. The use of robotic methods can greatly accelerate the discovery of new materials and when combined with optimisation techniques can be run autonomously to identify new materials with properties of interest.
This project will develop and exemplify a robotic workflow to perform solid state chemistry reactions, consisting of an automated weighing and mixing stage, coupled with a high temperature furnace to perform the reactions. Automated powder diffraction will be integrated to identify new materials within the phase fields being explored. The student will work closely with colleagues in the group of Professor Andy Cooper who have pioneered the use of autonomous robotic chemical synthesis for functional materials discovery. The project builds on a high throughput synthetic workflows developed in the group using slurry (Chem. Sci. 15, 2640, 2024.) and solution based precursors.
The project is based in the Materials Innovation Factory at the University of Liverpool, a state-of-the-art facility for the digital and automated design and discovery of materials. The project will make use of tools developed in the multi-disciplinary EPSRC Programme Grant: “Digital Navigation of Chemical Space for Function” and the Leverhulme Research Centre for Functional Materials Design, that seek to develop a new approach to materials design and discovery, exploiting machine learning and symbolic artificial intelligence, demonstrated by the realisation of new functional inorganic materials. Examples include the first tools to guarantee the correct prediction of a crystal structure (Nature 68, 619, 2023), and to learn the entirety of known crystalline inorganic materials and guide discovery (Nature Communications 12, 5561, 2021).
The project will allow the student to develop knowledge and experience in automation and programming as well as solid state synthesis, crystallography and measurement techniques. The student will also develop skills in teamwork and scientific communication, as computational and experimental researchers within the team work closely together to progress the projects.
Further reading
- C. J. Hampson et al., A high throughput synthetic workflow for solid state synthesis of oxides, Chem. Sci. 15, 2640-2647, (2024).
- V. V. Gusev et al., Optimality guarantees for crystal structure prediction, Nature 619, 68-72, (2023).
- A. Vasylenko et al., Element selection for crystalline inorganic solid discovery guided by unsupervised machine learning of experimentally explored chemistry, Nature Commun. 12, 5561, (2021).
Who is this for?
The studentship is open to UK and international students. However, please be aware there is a limit on the number of international students we can appoint per year. Further, the studentship does not cover international fees.
Applications are welcomed from students with a 2:1 or higher master’s degree or equivalent in Chemistry, Physics, Materials Science, Robotics, Computer Science or Engineering particularly those with some of the skills directly relevant to the project outlined above. Experience in programming would be an advantage. Applications from candidates meeting the eligibility requirements of the EPSRC are welcome.
How to apply
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1. Contact supervisors
Please contact Dr Troy Manning in the first instance: Troy.Manning@liverpool.ac.uk. Include the project title and reference number: CCPR134.
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2. Prepare your application documents
You may need the following documents to complete your online application:
- A research proposal (this should cover the research you’d like to undertake)
- University transcripts and degree certificates to date
- Passport details (international applicants only)
- English language certificates (international applicants only)
- A personal statement
- A curriculum vitae (CV)
- Contact details for two proposed supervisors
- Names and contact details of two referees.
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3. Apply
Finally, register and apply online. You’ll receive an email acknowledgment once you’ve submitted your application. We’ll be in touch with further details about what happens next.
This position will remain open until a suitable candidate has been found.
