31 oct
|
Tecnológico de Monterrey
|
Monterrey
31 oct
Tecnológico de Monterrey
Monterrey
Open Postdoctoral Position
The School of Engineering and Sciences at Tecnológico de Monterrey invites applications for a Postdoctoral Fellow within the Research Group Water 360° . The successful candidate will be engaged in: Environmental Geoprocesses . The candidate will be working in close collaboration with Dr. Jürgen Mahlknecht at the main projects “ Coastal Aquifers, Salinization and Water Security under Climate Change ” and “ Data-Driven Hydrogeology: Integrating Environmental Tracers, Hydrochemistry and Artificial Intelligence ”
Research Issues/(research project):
The postdoctoral researcher will contribute to an interdisciplinary research program focused on understanding and predicting the response of groundwater systems to climate change, seawater intrusion, groundwater abstraction, land-use change, and water-quality deterioration .
Particular emphasis will be placed on coastal and water-stressed aquifers, where changes in recharge, pumping, sea level, and hydrogeochemical conditions can strongly affect groundwater availability and quality.
The research will integrate field observations, hydrogeochemistry, environmental tracers, geospatial information, numerical and statistical approaches, and artificial intelligence/machine-learning techniques to improve the characterization, interpretation, and prediction of groundwater systems.
The candidate will have the opportunity to work on topics such as:
- Groundwater salinization and seawater intrusion in coastal aquifers.
- Groundwater recharge and climate-change impacts on groundwater resources.
- Identification of groundwater flow paths, mixing processes, and water–rock interactions.
- Application of environmental and stable isotopes as groundwater tracers.
- Hydrogeochemical characterization and identification of geogenic and anthropogenic contamination sources.
- Development of conceptual models of complex groundwater systems.
- Integration of hydrochemical, isotopic, climatic, geological, and remote-sensing datasets.
- Application of machine learning, explainable artificial intelligence, Bayesian approaches, and spatial statistics to groundwater assessment.
- Development of predictive tools for groundwater vulnerability, salinization, water quality, and water security.
- Assessment of groundwater-management and climate-adaptation scenarios.
Related Activities
The postdoctoral researcher will be expected to:
- Conduct independent and collaborative research within the above-mentioned research areas.
- Analyze existing hydrogeological, hydrochemical, isotopic, climatic, and geospatial datasets.
- Participate in the design and implementation of field campaigns and groundwater-monitoring activities when required.
- Develop innovative quantitative, statistical, and/or machine-learning approaches for groundwater analysis.
- Prepare high-quality manuscripts for publication in leading international JCR-indexed journals .
- Present research results at international scientific conferences.
- Collaborate with graduate students and researchers from Tecnológico de Monterrey and international partner institutions.
- Contribute to the preparation of research proposals and the development of new international collaborations.
- Participate in scientific seminars and activities of the Climate and Sustainability Research Core and the Water 360° Research Group.
- Contribute to translating scientific results into recommendations relevant to groundwater management, climate resilience, and water security.
Qualifications:
- PhD in Hydrogeology, Hydrology, Environmental Sciences, Earth Sciences, Geochemistry, Environmental Engineering, Water Resources Engineering, or a closely related field.
- Strong scientific production demonstrated through publications in JCR-indexed journals and/or presentations at recognized international conferences.
- Strong background in at least one of the following areas: groundwater hydrology, hydrogeochemistry, environmental isotopes, coastal aquifers, groundwater salinization, contaminant hydrogeology, groundwater modelling, or quantitative hydrology .
- Experience in the analysis and interpretation of hydrochemical and/or isotopic groundwater datasets.li>
- Strong quantitative and data-analysis skills.
- Experience with Python, R, MATLAB, or similar scientific programming environments is highly desirable.
- Experience with machine learning, artificial intelligence, Bayesian modelling, geostatistics, or advanced statistical methods is highly desirable.
- Experience with GIS and spatial analysis is desirable.
- Experience with groundwater modelling tools such as MODFLOW, SEAWAT, PEST, PHREEQC, or equivalent software would be considered an advantage.
📌 Investigador PostDoc (Monterrey)
🏢 Tecnológico de Monterrey
📍 Monterrey