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.

Do you want to know more about LIST? Check our website: https://www.list.lu/

Discover our Environmental Research and Innovation department: ERIN Department

How will you contribute?

You will be involved in the framework of the HERITAGE (High-resolution crop yield forecast based on Earth Observations, machine learning, and crop modelling) project funded by the Luxembourg National Research Fund (FNR).

The project targets the development of a prototyped forecasting tool that leverages efficient machine learning techniques, cutting-edge advancements in Earth Observations (EOs), and process-based crop modelling. The envisioned forecasting system will adopt a modular and scalable approach, enabling the easy integration of multiple EO data streams and serving, in the longer term, to a wider range of both fine- (e.g., field-level) and coarse-scale (e.g., country-level) applications and involving private and public stakeholders of the agricultural sector.

To address this challenge, the HERITAGE project will make joint use of the most recent version of the Community Terrestrial Systems Model (CTSM), multiple EO data sets, and national/regional crop yield statistics.

You will be incorporated in the Remote Sensing and Natural Resources Modelling (REMOTE) group of the Environmental Sensing and Modelling (ENVISION) RDI unit and will closely collaborate with the project’s private partner operating the Data Centre of the Luxembourg Space Agency and with the national HPC organization in charge of the long-term operation of Luxembourg’s supercomputer MeluXina.

You will play a central role in the project and its outputs. Your main mission is to improve the physiological parameterization of the crop module of CTSM, to develop a framework to perform a robust uncertainty analysis, and to generate a dataset that will be used to train a machine learning algorithm. To address these challenging tasks, you will be asked to explore the use of advanced statistical (e.g., perturbed parameter ensemble) and machine learning (e.g., neural networks emulator) techniques.

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

Education:

PhD degree in Environmental Science, Crop Science, or similar disciplines

Experience and skills:

Technical Skills: Crop modelling, High Performance Computing, Advanced Statistics and Machine Learning Techniques. Seniority needed of 2 years of Post-Doc experience.

MUST HAVE

Proven previous experience in crop modelling and/or Land Surface Models.
Proven knowledge of model calibration and uncertainty assessment
Knowledge of machine learning techniques
High proficiency in high-level scripting languages (e.g., Python)
Proven previous experience in developing workflows in HPC environment.
Experience in manipulating and analysing Earth Observation data

NICE TO HAVE

Experience with CTSM land surface model
Knowledge of post-processing techniques of weather forecast products

Language skills

Flawless knowledge of English (both spoken and written) is required.
Knowledge of German and/or French and/or Luxembourgish is considered as an asset.

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 in all that we do
An environment encouraging curiosity, innovation and entrepreneurship in all areas
Personalized learning programme to foster our staff’s soft and technical skills
Multicultural and international work environment with more than 50 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, 13-month salary, statutory health insurance
Flexible working hours, home working policy and access to lunch vouchers

Apply online

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

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

Select an option to apply