met-jobs@lists.reading.ac.uk
November 2012
Message 30

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[Met-jobs] 2 Lecturer positions in the Institute for Risk & Uncertainty, University of Liverpool

From "Roger Brugge" <r.brugge@reading.ac.uk>
To "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Date Thu, 8 Nov 2012 13:02:18 +0000

*Lecturer in Uncertainty and Risk in Complex Systems and Networks*

http://www.liv.ac.uk/working/job_vacancies/academic/A-580912.htm

Ref: A-580912/WWW

*Closing date for receipt of applications: 7 December 2012*

This Lectureship is allocated to both the Centre for Engineering
Sustainability in the School of Engineering (administratively and for
teaching) and the Institute for Risk & Uncertainty (for research). You
will have a PhD in Engineering or a relevant Physical or Mathematical
Science discipline. You will already have an excellent established
research record in an academic environment, including the publishing
of influential papers in leading academic journals and the attraction
of external funding from a range of sources. Applications are
particularly welcome from those with a background in uncertainty
quantification in complex systems and networks, and mathematical
modelling of processes. Teaching commitments can be expected at both
undergraduate and postgraduate level within the School. The post is
available immediately.

*Lecturer in Geotechnical Risk and Environmental Hazards*

http://www.liv.ac.uk/working/job_vacancies/academic/A-580915.htm

Ref: A-580915/WWW

*Closing date for receipt of applications: 7 December 2012*

This Lectureship is allocated to both the Centre for Engineering
Sustainability in the School of Engineering (administratively and for
teaching) and the Institute for Risk & Uncertainty (for research). You
will have experience in uncertainty quantification and environmental
risk assessment in geotechnical engineering and hydrology and
stability problems (slope stability / landslides) in association with
natural hazards. You will have a PhD in Engineering or a relevant
Physical or Mathematical Science discipline. You should have a
background in modelling, quantification and processing of uncertainty
and in the assessment of risk in this context with stochastic,
Bayesian or alternative (e.g. imprecise probabilities) models.
Teaching can be expected at both undergraduate and postgraduate level
within the School. The post is available immediately.




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