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Position: Research Fellow in Systems-based methods for innovation
Institution: University College London
Department: Chemical Engineering
Location: London, United Kingdom
Duties: The goal of this research partnership is to develop predictive models, based on fundamental science, to aid in process development and in the design of effective experiments via model-based experiment design techniques. The outcome of this work will provide enabling tools for achieving better designs of pharmaceutical processes. The goal of this specific project is to develop a develop model-, property- and data-based approach to optimise the materials (resin, eluent) and operating strategy for HPLC processes
Requirements: The successful candidate must have a PhD in Chemical Engineering or a closely related discipline. Candidates must have experience in advanced mathematical modelling; thermodynamics; transport phenomena and chromatographic materials, and have knowledge of experimental procedures relate to the design of chromatographic processes. They should also have successfully completed (or be about to complete) a high-quality research project using mathematical modelling and/or experimentation, and should have a track record of published in relevant high-quality journals
   
Text: Research Fellow in Systems-based methods for innovation, - Ref:1838710 Click here to go back to search results Apply Now UCL Department / Division Chemical Engineering Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) £35,965 £40,062 per annum Duties and Responsibilities The post-holder will undertake research as part of the EPSRC-funded project Systems-based methods for innovation in the pharmaceutical industry. This is a collaboration between the Centre for Process Systems Engineering, a multi-institutional research centre of world-class departments at Imperial College London and University College London, and Eli Lilly and Company, a global pharmaceutical company with strong focus on research and development. The goal of this research partnership is to develop predictive models, based on fundamental science, to aid in process development and in the design of effective experiments via model-based experiment design techniques. The outcome of this work will provide enabling tools for achieving better designs of pharmaceutical processes. The goal of this specific project is to develop a develop model-, property- and data-based approach to optimise the materials (resin, eluent) and operating strategy for HPLC processes. The post is funded for 2.5 years in the first instance. Key Requirements The successful candidate must have a PhD in Chemical Engineering or a closely related discipline. Candidates must have experience in advanced mathematical modelling; thermodynamics; transport phenomena and chromatographic materials, and have knowledge of experimental procedures relate to the design of chromatographic processes. They should also have successfully completed (or be about to complete) a high-quality research project using mathematical modelling and/or experimentation, and should have a track record of published in relevant high-quality journals. 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. If you have any queries regarding the vacancy or the application process, please contact Processor Eva Sorensen at e.sorensen@ucl.ac.uk. UCL Taking Action for Equality Closing Date 13 Dec 2019 Latest time for the submission of applications 23:59 Interview date TBC 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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