Topic: process optimization

The Chemistry Department seeks a tenure-track faculty member whose research connects artificial intelligence and chemistry. Suggested directions include AI-guided catalysts, reaction conditions, polymers, biosynthetic pathways, semiconductor chemistry, process optimization, sensors and predictive spectroscopy. The appointee will establish an externally funded research programme, teach undergraduate and graduate chemistry, and contribute service. The estimated salary range is $119,600–$144,200. Applications submitted by 30 October 2026 receive full consideration; the recruitment portal accepts

Understanding photochemical mechanisms can improve both plastic recycling and protection against light-induced damage. The seminar revisits acridinium-catalysed conversion of polystyrene to benzophenone, where reactive oxygen species explain the observed chemistry rather than the previously proposed pathway. It also examines unwanted flavour changes in champagne, tracing a light-induced defect to a dimeric radical-cation intermediate. These cases connect mechanistic evidence with process optimization, industrial scale-up and possible chemical protection strategies.