Welcome

You are about to start your application process for:

E-2236 - EXPERIENCED RESEARCHER IN FLOOD MODELLING AND SATELLITE EO DATA ASSIMILATION

E-2236 - EXPERIENCED RESEARCHER IN FLOOD MODELLING AND SATELLITE EO DATA ASSIMILATION

Are you passionate about research? So are we! Come and join us

The 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. 

https://www.list.lu/


You ‘d like to contribute as a researcher? Join our Environmental Research and Innovation department 

The Environmental Research and Innovation (ERIN) department, made up of 200 life science, environmental science and information technology researchers and engineers, provides the interdisciplinary knowledge, expertise and technologies to lead solutions including the major environmental challenges facing society, such as climate change mitigation, ecosystem resilience, sustainable energy systems, efficient use of renewable resources, and environmental pollution prevention and control.

The department relies on two cutting-edge platforms, the Biotechnologies and Environmental Analytics Platform and the Observatory for the Climate and the Environment, and the GreenTech Innovation Centre (GTIC): a one-stop-shop for the complete development of bio-based products and processes.


Responsibilities

How will you contribute?

To strengthen its activities in environmental remote sensing, flood risk modelling and Earth Observation (EO) applications, LIST is offering a permanent position for a scientist in flood modelling and satellite EO data assimilation. With global change increasingly triggering hydro-climatological extremes, we aim at developing and improving satellite EO-based tools for monitoring and predicting natural disasters at large scale. Our research activities are wired around fundamental and applied questions related to an optimal combination of remote sensing measurements and numerical modelling-based simulations to better understand and predict variations of key environmental variables.  


This research shall contribute to the unit’s long-term goal to develop a very high precision digital twin earth focusing on the water cycle and related applications. To reduce the uncertainties inherent to such models and support evidence-based decision making, we intend to take advantage of and bring together the latest developments in process understanding, satellite Earth observation systems, Earth system modelling, Artificial Intelligence and High Performance Computing. 


You will develop / contribute to RDI projects by:

  • Carrying out hydraulic simulations to estimate flood hazard and risk across various spatial scales,
  • Applying and further developing methodologies enabling an effective assimilation of multi-source satellite EO data and in situ measured data into flood inundation models (e.g., flooding-related parameters derived from Synthetic Aperture Radar and optical remote sensing data) and other types of environmental models,
  • Coupling hydraulic models with hydrological and atmospheric models to predict extreme events and to anticipate future changes in flood intensity and frequency,
  • Developing research proposals to secure funding at national and international level,
  • Contributing to the development of partnerships and networks at national and international levels,
  • Disseminating and publishing the results of your research in top ranked scientific journals and international conferences.


Moreover, you will contribute to the dissemination, valorisation and transfer of RDI results through:

  • Software licensing,
  • Participation in the drafting of technical reports, scientific articles, patents and inventions,
  • Participation in the implementation of technological solutions (proof-of-concepts, prototypes).


must have requirements

Is Your profile described below? Are you our future colleague? Apply now!


Education

  • PhD in hydrology, hydraulics, remote sensing, applied mathematics, environmental sciences, environmental engineering (or related subjects).


Experience and skills

  • Minimum 10-year research experience after completion of PhD
  • Advanced knowledge in hydraulic modelling, in particular flood inundation modelling, skills in data assimilation
  • Knowledge in flood hazard and risk assessment
  • Experience with satellite Earth Observation data
  • Very good programming skills (e.g., Python, Matlab, R, IDL, etc.)
  • Experience in using flood data for parametric risk profiling is considered an asset
  • Communication skills in presenting scientific research, and writing papers in scientific journals, technical reports and proposals
  • Communicative and willing to learn, self-organized, and creative.
  • Ability to work both independently and collaboratively in an international team across the ENVISION RDI unit.


Language skills

  • Excellent English is mandatory
We offer

Your LIST benefits

An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projects; 

Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society;

Innovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations such as our Viswall, high-scale incubators and top of the range 3D/4D printings that are part of our toolkit for excelling in all we do;

Multicultural and international work environment with more than 45 nationalities represented in our workforce;  

Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions;

Gender-friendly environment with multiple actions to attract, develop and retain women in science; 

32 days’ paid annual leave, 11 public holidays, flexible working hours, 13-month salary, statutory health insurance and access to lunch vouchers; 

Personalized learning programme to foster our staff’s soft and technical skills; 

An environment encouraging curiosity, innovation and entrepreneurship in all areas. 


Apply online

https://www.list.lu/en/jobs/

Your application must include:

  • A motivation letter oriented towards the position and detailing your experience;
  • A scientific CV with contact details;
  • List of publications (and patents, if applicable);
  • Contact details of 2 references.


Application procedure and conditions

  • LIST is an equal opportunity employer and is committed to hiring and retaining diverse personnel. We value all applicants and will consider all competent candidates for employment without regard to national origin, race, colour, gender, sexual orientation, gender identity, marital status, religion, age or disability; 
  • Applications will be reviewed on an ongoing basis until the position is filled; 
  • An assessment committee will review the applications and select candidates based on guidelines that aim to ensure equal opportunities; 
  • The main criteria for selection will be the correspondence of the existing skills and expertise of the applicant with the requirements mentioned above.


REQUIREDLANGUAGES

To be considered for this position it is crucial that you have knowledge of the following languages
  • Read C1 Advanced
    Write C1 Advanced
    Speak C1 Advanced
minimum required Education
Required work experience in years
10 or more years
Details
Employment type
Contract type
Hours per week
40
Location
Country
City
Esch-Sur-Alzette
Profile type
Researcher
UO
ERIN
Privacy Policy