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  Automating a New Model for Risk Management for Industry

   Department of Chemical & Biological Engineering

  ,  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Risk management in industry has different levels, from the detailed sections of any process l and the site level overall risks which then connect with the supply chain risk assessments. There are models available to do some basic process risk automation however there are significant areas of risks that are not automated. With complex processes and the reduction in experience levels on sites with baby boomers retiring there is a significant need for an automated process that can guide risk teams with key risks where there is potentially not the experience to spot, rate or mitigate such risks. In addition, there are significant risks that the concept of likelihood isn’t working well, a new model of preparedness is needed and how to handle this needs developed, modelled and an automated advisory tool is required. This PhD will develop these tools and the algorithms and models needed. 

A full program of development is provided for PhD students including relevant training dependant on the needs of the student in programming, modelling and other aspects relevant to the project. In addition significant employability support will be given. 

Students from our department and in particular with modelling PhD’s are very successful in gaining excellent roles in industry in modelling, Machine learning, other roles in a wide range of companies. The department and the PI have very significant links in industry and mentors will be sought to support the student’s future interests in industry or academia in addition to the PI. Students are also very successful in moving to very strong Post Doc positions and onto academic positions.

The student will be part of the Cordiner and Sol Brown Groups, very significant opportunities to work with partner companies in the process industries. This is in addition to the excellent University and Department structured support and training for PhD students. 

Please see this link for information on how to apply: Please include the name of your proposed supervisor and the title of the PhD project within your application.

A degree in Engineering is required. Some experience in modelling, machine learning and python programming would be very helpful. Experience with risk assessment would be an asset. If English is not your first language then you must have an International English Language Testing System (IELTS) average of 6.5 or above with at least 6.0 in each component, or equivalent. Please see this link for further information:

Engineering (12)

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