Research course

Risk and Uncertainty in Engineering

University of Liverpool · School of English

Entry requirements

Research in the area of Risk and Uncertainty in Engineering requires an excellent first degree in engineering or in related fields, a thorough understanding of engineering/physical principles, a very strong background in mathematics as well as sound skills in computer programming. Further, curiosity, creativity and a strong interest to work in a multi-disciplinary set-up are essential requirements. A combined education in two or more areas would be an advantage. Applications from international students are welcome. International qualifications will be evaluated in line with the National Recognition Information Centre (NARIC) guidelines.

Months of entry

January, December, November, October, September, August, July, June, May, April, March, February

Course content

We create sustainable, smart, reliable and robust engineering solutions from multi-disciplinary expertise and with cutting-edge technologies.

We pursue cross-disciplinary developments to master the challenges of our changing natural and societal environment with sustainable, smart and robust engineering solutions. Particular emphasis is put on critical phenomena such as natural and technical hazards, extreme events and human errors in order to mitigate risks and severe consequences, to minimise the vulnerability and to optimise the reliability of systems and structures.

Key element in our developments is a comprehensive risk and uncertainty quantification based on probabilistic, interval and fuzzy methods as well as with imprecise probabilities as a combination thereof. We work with emerging concepts in stochastic mechanics and robust design to cope with model uncertainties, errors in modelling and measurements and noise in signals. This includes innovative developments in system and damage identification, structural health monitoring, vibration control as well as in the quantification of failure consequences. From the mechanical perspective we complement our portfolio with advanced techniques in structural dynamics, systems modelling, multi-scale and multi-physics modelling.

Qualification and course duration


part time
24 months
full time
12 months


part time
48 months
full time
24 months

Course contact details

PG Recruitment
+44 (0)151 794 5927