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2 phd positions in computational geosciences: numerical modelling of karstic systems

buscojobs España
Publicada el Publicado hace 15 hr horas
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2 PhD positions in computational geosciences: Numerical modelling of karstic systems

Data Science #geology #karst #computational science #water science

You are looking for an exciting PhD project in which you will tackle groundwater modelling issues with high scientific and societal relevance. Candidates should have an interest and/or experience in geosciences and quantitative methods. The project involves developing numerical tools to model groundwater behavior in karstic aquifers and the formation of these systems (speleogenesis) using reactive transport approaches. Karstic systems are widespread, providing freshwater resources to about 15% of the global population. They are complex, highly vulnerable to contamination, and affected by climate change (droughts and floods).

We are a multidisciplinary research team funded by the European Research Council, comprising physicists, mathematicians, computer scientists, and hydrogeologists from Spain, France, Canada, Slovenia, and Switzerland. Our goal is to develop novel models for groundwater flow and solute transport in karst systems at multiple scales, based on strong physical principles, combining field, laboratory, and numerical experiments. We seek two early-career researchers to join our team, focusing on numerical modeling aspects.

Qualifications

* Master's degree in geosciences, physics, applied mathematics, computational sciences, engineering sciences, hydrogeology, civil engineering, or a related field.

Competences

* Proficiency in English
* Experience in scientific programming (Python) and computational methods
* Interest in interdisciplinary and collaborative research
* Previous experience with karst systems is a plus

Contact: Mr. Philippe Renard

Phone: +41 327182690

Email: [please insert email here]

Address: Rue Emile Argand 11, 2000 Neuchâtel, Switzerland

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Inicio > Empleo > 2 Phd Positions In Computational Geosciences: Numerical Modelling Of Karstic Systems

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