Data-Driven Formulation Optimisation Specialist

2 days ago


Loughborough, Leicestershire, United Kingdom Loughborough University Full time

Job Description:

We are seeking a talented PhD student to join our research team at Loughborough University, where you will develop and implement data-enabled methods to optimise the formulation of liquid products. This project is integrated within a large UKRI funded project on soft materials, offering you the possibility of collaborating with internationally leading academic and industrial partners.

About the Project:

  • You will develop and implement data-enabled methods such as Bayesian optimisation and Bayesian decision making using existing data and data generated by yourself.
  • These methods will guide your own experiments to optimise the properties of actual paints and coatings formulations, which will involve advanced characterisation techniques.
  • The tools developed in this project will be applicable not only to paints and coatings but to a wide range of liquid formulated products, e.g., inks, adhesives, or cosmetics.

Your Responsibilities:

  • Develop programming skills (Python is the preferred language) and familiarity with probabilistic models and stochastic processes.
  • Sufficient knowledge of mathematical concepts to quickly grasp other statistical concepts.
  • Laboratory experience is desirable.

What We Offer:

  • A tax-free stipend of £19,237 per annum for the duration of the studentship, plus university tuition fees.
  • The opportunity to work in a dynamic and supportive environment within Loughborough University.
  • Collaboration with internationally leading academic and industrial project partners.


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