Data-Driven Formulation Optimisation Specialist
2 days ago
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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