-
such as environmental science, ecology, geography, engineering, and data analytics. Essential: A strong academic background (2:1 or above, or equivalent) in a relevant subject; Experience with statistical
-
Dalton Building at Manchester Metropolitan University. You will develop skills in computational experimentation, financial data analytics, and systemic risk modelling, with extensive opportunities
-
. This PhD project will develop a Confidential and Explainable AI framework for EV charging networks. You will explore cutting-edge techniques such as privacy-preserving analytics, Trusted Execution
-
strong foundation in programming (e.g. Python) and core concepts in machine learning or data analysis. Ability to engage with research literature and develop analytical, problem-solving, and algorithmic