Research Fellow in Systems-based methods for innovation

    • Application Deadline
      Deadline:
      13 March 2020
      (application date has expired)
    • Job Salary
      £35,965 to £40,062 Grade 7
    • Website
    • Contact Name
      Contact:
      Dr Luca Mazzei


    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 a 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 fluid dynamic model for the description of the flow of powders in screw mixers; these units are used in the continuous direct compression process for the manufacture of pharmaceutical tablets.

    The post is funded for 2 years in the first instance.

    Key Requirements
    The successful candidate must have (or will be soon in the process of submitting) a PhD in Chemical Engineering, or a closely related discipline. Candidates should have experience in advanced mathematical modelling, fluid dynamics (single-phase and multiphase) and transport phenomena.

    They should also have successfully completed (or be about to complete) a high-quality research project using mathematical modelling and numerical solvers (such as CFD codes or gPROMS) and should have 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 Dr Luca Mazzei, [email protected]


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