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博士职位:可持续地下水管理的反应运移建模

雇主

Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH

地点

Barcelona · 西班牙

待遇

€面议

工作模式

线下

截止日期

2月3日

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岗位摘要

PhD position to develop reactive transport models for sustainable groundwater management within the

岗位职责

Mission:Conduct predoctoral research within the framework of the European
MARMED project, developing and applying reactive transport models in groundwater to investigate the transport and transformation of contaminants (with emphasis on emerging contaminants) during Aquifer Recharge Management (MAR) Functions to be developed: • Develop numerical models for groundwater flow, solute transport and reactive transport in MAR systems.
• Analyze field and laboratory data generated in the
MARMED project (hydrogeological, hydrochemical and contaminant concentration) to validate the numerical models.
• Investigate transport and reaction processes at different scales (from laboratory to field).
• Develop and implement computational tools for reactive transport, including coupling with environments such as
MODFLOW 6. • Run high-performance computing (HPC) simulations for complex reactive transport problems.
• Conduct scenario analysis to investigate pollutant mitigation under different MAR operational configurations.
• Collaborate closely with the experimental and field teams of the Spanish pilot (Besòs river basin).
• Contribute to the activities of the
MARMED consortium (scientific meetings, project deliverables, presentations at conferences and scientific publications).

申请条件

- 具备地下水流动、溶质运移和反应性运移数值模型的开发能力
- 能够分析水文地质、水化学和污染物浓度等现场与实验室数据以验证数值模型
- 具备跨尺度(实验室至现场)研究运移与反应过程的能力
- 能够开发并实现反应性运移计算工具,包括与MODFLOW 6等环境耦合
- 具备运行高性能计算(HPC)模拟复杂反应性运移问题的能力
- 能够开展情景分析以研究不同MAR运行配置下的污染物削减
- 具备与实验和现场团队密切合作的能力
- 能够参与联盟活动,包括科学会议、项目交付物、会议报告和科学论文发表
- 拥有相关领域(如水文学、环境工程、地球科学等)的博士前研究背景或同等资格
- 具备英语科研交流与写作能力

雇主简介

Universitat Politècnica de Catalunya (UPC) - BarcelonaTECH is a public university in Barcelona, Spain, focused on engineering, architecture, and technology. The research position involves rehabilitating buildings in vulnerable environments, categorizing social housing projects, and calculating energy vulnerability indices.

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