"PhD Position Surrogate-enabled Uncertainty Quantification for Reactive Transport Modeling"

Job Summary

Reactive transport models are essential for assessing groundwater quality and contamination risks. This PhD position involves developing surrogate models to quantify uncertainty in complex reactive transport models, enabling more reliable water quality management.

Key Responsibilities

• Design and implement surrogate modeling strategies for efficient uncertainty quantification of reactive transport models.
• Evaluate and propagate surrogate model errors to improve uncertainty estimates.
• Apply the developed framework to real-world case studies in collaboration with international working groups in water quality modeling.

Qualifications and Requirements

• Master's degree in a relevant field such as environmental science, environmental engineering, hydrogeology, physics, or applied mathematics.
• Strong interest in uncertainty quantification, Bayesian statistics, and machine learning techniques; demonstrated experience in at least one is a plus.
• Familiarity with numerical modeling and scientific programming, for example using Python, Julia, or R.
• Experience in modeling reactive transport in groundwater is preferred.
• Very good written and spoken English, as the position involves an international community.
• Enthusiasm for interdisciplinary research involving experts from hydrogeology to statistics.
• English proficiency required for PhD at TU Delft.

What the Employer Offers

A 4-year employment period, initially 1.5 years with a progress assessment, followed by an additional 2.5 years if requirements are met. Salary from €3059 to €3881 per month, enrollment in TU Delft Graduate School, customizable compensation package, health insurance discounts, and support for international relocation.