Visit www.acad.jobs with all Jobs for Academics!
                    
Position: Research Fellow in Materials Modelling and Machine Learning to Accelerate Materials Discovery
Institution: University College London
Department: Institute for Materials Discovery
Location: London, United Kingdom
Duties: This is an exciting project that aims to discover, and design scientific and technologically important new materials and manufacturing processes as well as optimize them for next generation of low cost, eco-friendly and high performance products and devices at the UCL Institute for Materials Discovery. The post holder will perform innovative and cutting edge research to develop novel artificial intelligence computing tools to perform machine and deep learning of the complex relationships of materials-structure-processing-properties in order to accelerate the discovery of new nanostructured materials and manufacturing processes to increase industrial innovation
Requirements: PhD or equivalent in Materials Science/Engineering, Materials Chemistry, Physics, Statistical Science, 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 and multi-scale modelling, application evaluation and technological applications are encouraged to apply. The project also requires a highly practical candidate with keen interest in materials processing and characterisation as well as and device fabrication
   
Text: Research Fellow in Materials Modelling and Machine Learning to Accelerate Materials Discovery, - Ref:1808459 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) ?35,328 - ?42,701 per annum Duties and Responsibilities Applications are invited for a Research Associate to work at the UCL Institute for Materials Discovery. This is an exciting project that aims to discover, and design scientific and technologically important new materials and manufacturing processes as well as optimize them for next generation of low cost, eco-friendly and high performance products and devices at the UCL Institute for Materials Discovery. The post holder will perform innovative and cutting edge research to develop novel artificial intelligence computing tools to perform machine and deep learning of the complex relationships of materials-structure-processing-properties in order to accelerate the discovery of new nanostructured materials and manufacturing processes to increase industrial innovation. The findings will be validated experimentally. In addition, the successful candidate will use multiscale modelling to accelerate the design of industrial relevant materials with the desired properties and functionality, and selection of process parameters to facilitate the industrial innovation. 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, software solutions, 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. This post is 18 Month in the first instance. Key Requirements PhD or equivalent in Materials Science/Engineering, Materials Chemistry, Physics, Statistical Science, 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 and multi-scale modelling, application evaluation and technological applications are encouraged to apply. The project also requires a highly practical candidate with keen interest in materials processing and characterisation as well as and device fabrication. Please note, appointment at Grade 7 (salary ?35,328 to ?42,701 per annum) is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Research Assistant Grade 6 (salary ?29,809 - ?31,432 per annum) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. 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 We will consider applications to work on a part-time, flexible and job share basis wherever possible. Closing Date 1 Jul 2019 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 Apply Now
Please click here, if the Job didn't load correctly.







Please wait. You are being redirected to the Job in 3 seconds.