Dynamic Karst Flow Modeling — PhD Research in Networks

Euraxess; Paris; Sur place; EUR 19 000 - 23 000; Plein temps

Résumé du poste

A research organization is seeking a PhD student to develop predictive flow models for karst networks. The role involves simulating dynamic changes in water flows and conducting field studies. Candidates should possess a Master’s in Geosciences, Mathematics, or Physics with strong skills in applied mathematics and Python. This full-time position is temporary and requires travel to partner locations in Barcelona and Neuchatel.

Qualifications

• Good applied math and statistical physics skills required.
• Background in network theory is essential.
• General IT skills, especially in Python and C++ are appreciated.

Responsabilités

• Develop predictive flow models for karst networks.
• Simulate water flows and manage network changes dynamically.
• Conduct real-world case studies from related projects.

Connaissances

Applied mathematics

Statistical physics

Network theory

General IT skills

Python

C++

Formation

Master Degree or equivalent in Geosciences

Master Degree or equivalent in Mathematics

Master Degree or equivalent in Physics

Description du poste

A research organization is seeking a PhD student to develop predictive flow models for karst networks. The role involves simulating dynamic changes in water flows and conducting field studies. Candidates should possess a Master’s in Geosciences, Mathematics, or Physics with strong skills in applied mathematics and Python. This full-time position is temporary and requires travel to partner locations in Barcelona and Neuchatel.