PhD fellowship in Biophotonics for Drug Delivery and Predictive Modelling at Department of Pharmacy

This PhD fellowship in Biophotonics for Drug Delivery and Predictive Modelling at the Department of Pharmacy is designed for candidates with a strong foundational knowledge in biophotonics, pharmaceutical sciences, and computational modelling. The role requires expertise in the application of light-based technologies to study and enhance drug delivery systems, including understanding the interaction of light with biological tissues and drug carriers. Candidates should be proficient in predictive modelling techniques, likely involving computational simulations and data analysis to forecast drug delivery outcomes and optimize therapeutic efficacy. A solid background in pharmacy or related life sciences is essential to grasp the pharmaceutical aspects of the research. The fellowship emphasizes interdisciplinary skills combining experimental biophotonics methods with theoretical and computational approaches. Candidates with experience in optical imaging, spectroscopy, or laser-based techniques, alongside programming skills for modelling and simulation (such as MATLAB, Python, or similar), will be well-suited. The role also demands strong analytical abilities, critical thinking, and the capacity to work independently within a research environment. While specific experience and education levels are not detailed, the position targets highly motivated individuals aiming to contribute to innovative research at the intersection of biophotonics and drug delivery, advancing predictive tools that can impact pharmaceutical development and personalized medicine.