22 artificial-Intelligence-phd positions at Monash University

PhD Scholarship in Data-Driven Polymer Synthesis

artificial intelligence guided synthesis. In our research group we strive to apply these methods towards polymer synthesis, and to harvest its benefits. In this PhD project, we will work on one

PhD Scholarship in Multimodal Biomedical Imaging

Science and AI (DSAI), Faculty of IT (FIT), is home to many world-class research programs in artificial intelligence. Monash Biomedical Imaging is one of the most advanced imaging centres in Australia

PhD Opportunity: Machine learning-based kinetic modelling on the thermal decomposition of plastic waste via pyrolysis

PhD Opportunity: Machine learning-based kinetic modelling on the thermal decomposition of plastic waste via pyrolysis Job No.: 661850 Location: Clayton / Advanced Fuel Innovation premises in

PhD position: Dr Tom Hadavizadeh

large datasets and developing experimental techniques, including the use of artificial intelligence. There are also opportunities to be involved in the development and testing of new hardware for the next

PhD position: A/Prof Agustin Schiffrin

nanomaterials" (with Prof Nikhil Medhekar) "Ultrafast charge dynamics in photoactive materials" "Artificial-intelligence-controlled atom-by-atom synthesis of functional organic nanomaterials" web page For further

PhD position: Prof Ulrik Egede

supervise a number of projects that involve data analysis, the application of artificial intelligence and the development of new experimental methods through collaboration with our theoretical colleagues. All

PhD Project – Supervised and knowledge-guided machine learning approaches for quantifying and identifying microorganisms in water and wastewater treatment

research on development of fluorescence-based methods, flow cytometry, automated cell imagery, and artificial intelligence for identifying and quantifying microorganisms for large scale testing at target

Explainable Artificial Creativity

Recent advances in machine learning and artificial intelligence models have created exciting new possibilities for creative artists. But understanding how to work most effectively with these models

Personal Future Health Prediction

be Domestic Student i.e. Australian or New Zealand Citizen or Australian Permanent Resident *** for RAISE programme Project Description Using artificial intelligence software and unique algorithms

AI as Cultural Practice

[1] Kaplan, Andreas and Michael Haenlein, “Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence”, Business