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Position: Research Fellow in Materials Modelling and Machine Learning
Institution: University College London
Department: Institute for Materials Discovery
Location: London, United Kingdom
Duties: The post holder will perform innovative and cutting edge research to develop material models and novel artificial intelligence computing tools to perform materials modelling, data mining, machine and deep learning of the complex relationships of materials-structure-processing-properties for the discovery of new nanostructured materials, renewable energy materials and electronic devices to increase industrial innovation. The findings will be validated experimentally
Requirements: PhD or equivalent in Materials Science/Engineering, Materials Chemistry, Physics, Computer Science and/or a broad range of relevant backgrounds in Science/Engineering degree. The successful candidate will have a keen interest in new materials development, materials simulation, machine learning and data mining in Materials Science; The project also requires a highly practical candidate with keen interest in materials processing and characterisation as well as device fabrication
   
Text: Research Fellow in Materials Modelling and Machine Learning, - Ref:1874479 Click here to go back to search results Apply Now UCL Department / Division Institute for Materials Discovery Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) £36,028 - £43,533 per annum Duties and Responsibilities Applications are invited for a Research Fellow to work with Professor Kwang-Leong Choy at the UCL Institute for Materials Discovery. This is an exciting project that aims to discover, and design technologically important novel materials with desired properties and functionality, together with the selection of manufacturing processes and optimization of processing parameters for the next generation of low cost, eco-friendly and high performance functional materials and devices at the UCL Institute for Materials Discovery. The post holder will perform innovative and cutting edge research to develop material models and novel artificial intelligence computing tools to perform materials modelling, data mining, machine and deep learning of the complex relationships of materials-structure-processing-properties for the discovery of new nanostructured materials, renewable energy materials and electronic devices to increase industrial innovation. The findings will be validated experimentally. The project involves strong national and international academic and industrial collaboration. In addition to the duties outlined above, the post holder will be required to actively involve in materials translational activities, implementation of all knowledge based services, including repositories of models, education and collaboration, and development of online translation, present results and reports at progress meetings, prepare papers for publication and contribute to research project supervision. Duration of the appointment is funded for one year in the first instance. Key Requirements PhD or equivalent in Materials Science/Engineering, Materials Chemistry, Physics, Computer Science and/or a broad range of relevant backgrounds in Science / Engineering degree. The successful candidate will have a keen interest in new materials development, materials simulation, machine learning and data mining in Materials Science. The project also requires a highly practical candidate with keen interest in materials processing and characterisation as well as device fabrication. Further Details A job description and person specification can be accessed at the bottom of this page. To apply for the vacancy please click on the Apply Now button below. For informal enquiries about the role, please contact Prof. Kwang-Leong Choy: k.choy@ucl.ac.uk. Please send any queries regarding the vacancy or the application process to Ms Jo Donkin: j.donkin@ucl.ac.uk, as we wish to encourage online applications. UCL Taking Action for Equality Closing Date 19 Mar 2021 Latest time for the submission of applications 23:59 Interview date TBC Our department is working towards an Athena SWAN award. We are committed to advancing gender equality within our department. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about UCL working life including the benefits we offer and UCL Terms and Conditions related to this job. Job Description and Person Specification Apply Now
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