GEOSCIENTIFIC PRIOR INFORMATION, UNCERTAINTY, EXPERT ELICITATION & BIAS We seek an outstanding person to research and develop novel methods to elicit and use probabilistic information derived from geoscientific experts.
The project combines Geoscience, Bayesian Mathematics/Statistics and Psychology, and demands a mature applicant with excellent inter-personal skills. The researcher has the unique opportunity to study these subjects, create new methods to obtain probabilistic information from (subjective) experts, work with professional programmers to create internet-based systems to effect their methods, and test these within a professional environment. This project is sponsored by, and collaborative with an industrial partner (Total plc), which provides an international test-bed of practising experts in which to test and ultimately apply the new methods to improve corporate decision-making.
Areas of focus are the elicitation of Geological information to be combined with Geophysical data to improve imaging and inversion for models of the Earth’s subsurface, and increasing the robustness of estimates of subsurface natural resource reserves. Rapid publication of the results in top peer-reviewed journals and international communication at conferences is expected as a matter of course.
This is a fixed-term post until 31st August 2017, based at the University of Edinburgh with time spent also in Total plc. Start date is as soon as possible.
Full details are available at:
http://www.vacancies.ed.ac.uk
VACANCY REFERENCE: 031734
Prof. Andrew Curtis
Total Chair of Mathematical Geoscience
