This PhD project is initially offered on a self-funding basis. It is open to applicants with their own funding, or those applying to funding sources. However, excellent candidates will be eligible to be considered for a University scholarship.
Students applying should have (or expect to achieve) a minimum 2.1 undergraduate degree in a relevant engineering/science discipline, and be highly motivated to undertake multidisciplinary research.
 Brown et al. “Enabling precision manufacturing of active pharmaceutical ingredients: workflow for seeded cooling continuous crystallisations”, Mol. Syst. Des. Eng. 2018,3, 518.
 Garrido, N. M. et al. “Using Molecular Simulation to Predict Solute Solvation and Partition Coefficients in Solvents of Different Polarity”, Phys. Chem. Chem. Phys., 2011, 13, 9155.
 Palmer et al. “Random forest models to predict aqueous solubility”, J. Chem. Inf. Model. 2007, 47, 150.