HYDROLOGICAL MODELS
PhD up to 48 months (first initial contract of 14 months) Belval Are you passionate about research? So are we! Come and join usThe Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.
Do you want to know more about LIST? Check our website: https: // www. list.lu/
How will you contribute?During extreme hydrological conditions (floods and droughts), water fluxes can be regulated by processes that are difficult to observe during regular flow conditions. You will use over 20 years of data collected by a network of nested experimental catchments and existing process knowledge to test hydrological models and analyze water fluxes during extreme events across different geologies. By leveraging machine learning techniques, you will develop methods to highlight the limitations of conventional models during such extreme events. The objective is to evaluate and improve hydrological models, creating tools to reliably describe extreme events that shall ultimately contribute to improved risk management strategies.
You will carry out your doctoral research project in the framework of the JCAR ATRACE project (https: // jcar-atrace.eu). You will be part of a community of PhD students from multiple affiliate institutions, all working to reduce risk from extreme hydrological events in central Europe. In this context, you are expected to interact and collaborate with candidates from other partner institutions. Your work will be carried out under the co-supervision of LIST researchers and the University of Luxembourg. Throughout your PhD research project, you will be part of the Catchment and Eco-Hydrology research group at LIST and benefit from the multi-disciplinary expertise in hydrological sciences.
The ‘Environmental Sensing and Modelling' (ENVISION) unit is an interdisciplinary team of 45+ scientists, engineers, post-docs, and PhD candidates – structured in three complementary groups focusing on agro- environmental systems research, remote sensing, natural resources modeling, and critical zone research.
Embedded into the ENVISION unit, the ‘Catchment and eco-hydrology' (CAT) research group has its efforts geared towards a holistic understanding of intrinsically coupled hydrological and human systems. At the CAT group, we rely on our competencies in hydrology, geochemistry, sedimentology, and environmental systems engineering to gain a better understanding of eco- hydrological processes controlling hydrological and biogeochemical cycles, vegetation and sediment dynamics, pollutant removal, and ecosystem resilience.
You will hold a secondary affiliation with the Complex Systems Research Group (Team Nexus) at the University of Luxembourg, which will be responsible for awarding the PhD degree. Co-supervision from Team Nexus will complement the environmental expertise of LIST with advanced numerical skills.
The CAT group is seeking a highly motivated PhD candidate to work on the hydrological modeling of extreme events. This position is part of the JCAR ATRACE project, geared towards reducing flood and drought risk in Central Europe. Your research will leverage long experimental datasets for machine learning applications. A major goal consists in the identification of deficiencies proper to conventional hydrological models.
Is Your profile described below? Are you our future colleague? Applynow!
You hold a Master's degree in / environmental sciences / engineering / IT/ mathematics/ statistics
The candidate should be interested in the detailed investigation and modelling of hydrological extremes, and be able to carry out the following tasks:
Research work
Dissemination, valorization and transfer
Training
Apply online
Your application must include:
Please apply ONLINE formally through the HR system. Applications by email will not be considered.
Application procedure and conditions
We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any discriminatory purposes.
LIST is dedicated to maintaining an inclusive work environment and is an equal opportunity employer. We are committed to attracting, hiring, and retaining a diverse workforce. All applicants will be considered for employment without discrimination based on national origin, race, colour, gender, sexual orientation, gender identity, marital status, religion, age, or disability.
Applications will be continuously reviewed until the position is filled. An assessment committee will thoroughly evaluate applications, adhering to guidelines designed to ensure equal opportunities. The primary criteria for selection will be the alignment of the applicant's existing skills and expertise with the requirements mentioned above.
Please note that by applying you consent to share your application with Mr Christian VINCENOT,Associate professor in Engineering – Modelling and simulation of complex systems, from the University of Luxembourg.
PhD additional conditions:
Candidates shall be available for starting their position in autumn 2024. Please note that university enrolment fees (currently 200 EUR per semester) must be covered by the successful applicant. Your master diploma has to be recognized in Luxembourg. Please refer to:
https: // www. uni.lu/en/admissions/diploma-recognition/
https: // guichet.public.lu/fr/citoyens/enseignement-formation/etudes- superieures/reconnaissance-diplomes.html
REQUIREDLANGUAGESTo be considered for this position it is crucial that you have knowledge of the following languages
Write C1 Advanced
Speak C1 Advanced
minimum required Education
Required work experience in years
0 or more years
Job Category
Details
Employment type
Contract type
Hours per week
40
Contract period
Months
Contract duration
48
Location
Country
City
Esch-Sur-Alzette
Contract Type
Fixed Term contract
Employment type
Full-Time
UO
ERIN
Profile type
Phd Student
Recruiter in charge
Hélène ARAGO