VIE Geothermal Research Scientist (H/F)

Uncertainty Quantification in Enhanced Geothermal Systems Geothermal models depend on subsurface properties that are difficult to measure. More detailed models can represent additional physical processes, but their value for prediction may be limited by uncertainty in the available data. The VIE research scientist will use numerical modelling and statistical analysis to investigate how uncertain inputs and modelling assumptions affect geothermal predictions. The work will focus on a case study, comparing models of different complexity to assess when additional model detail is useful and when better measurements would be more valuable. In particular, the case study will examine when relationships derived from small-scale simulations and experiments improve reservoir-scale predictions. They will be expected to: • Review measurement options and modelling approaches relevant to the selected case study • Carry out a computational study to quantify prediction uncertainty • Compare predictions from models of different complexity with observations • Prepare documented code and a report recommending where additional measurements or more detailed modelling would be most useful

** Excellent command of English required (verbal and written) ** Masters or PhD in Applied Mathematics, Computer Science, Physics, Engineering, Geosciences or a related subject ** Required Skills & Qualifications • Foundation in numerical methods, probability and statistics • Programming skills in Python or a similar language • Ability to analyse data and explain results clearly Familiarity with one or more of the following would be useful: • Uncertainty quantification methods • Subsurface measurement techniques • Fluid mechanics and heat transfer