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Sd-25114 -r&t Scientist in Machine Learning
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**Temporary contract | up to 18 months | Belvaux**:
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**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.
***:
**How will you contribute?**:
You will be part of the Remote Sensing and Natural Resources Modelling (REMOTE) group of LIST. Embedded in the Environmental Sensing and Modelling (ENVISION) unit, the ‘group is carrying out impact-driven research, geared towards monitoring and predicting environmental systems in a changing world. Our research group capitalizes on a blend of remote sensing data obtained from space
- and air-borne platforms, as well as in-situ data measured with Internet of Things (IoT) devices, for producing information on the status of natural resources. Our research and development activities focus on the synergistic use, processing, and interpretation of data from multiple complementary active and passive sensors installed on both space
- and airborne platforms. We rely on competences in environmental sciences, such as hydrology and hydraulics, meteorology, plant physiology, and geography for monitoring variations in Earth’s biotic and abiotic resources. We integrate remotely sensed information with in-situ data, process-based models and leverage satellite communication, IoT and machine learning technologies to provide evidence-based decision support tools in near real time across a variety of thematic domains: disaster risk reduction, precision agriculture/viticulture/forestry, preservation and management of natural resources, maritime surveillance.
- The researcher will contribute to an emergency response project, funded by the Ministry of Foreign and European Affairs, Defence, Development Cooperation, and Foreign Trade of Luxembourg. This initiative is part of a collaboration between the World Food Programme (WFP) Innovation Accelerator, CERN, and LIST. The collaboration aims to identify, support, and implement high-impact innovations aligned with achieving the Sustainable Development Goal of Zero Hunger.
**Education**
- PhD degree in Computer Science, Environmental Science, or similar disciplines
Experience and skills
Main missions
- Required Seniority: 2 years of Post-Doc
- Technical Skills: Advanced Statistics and Machine Learning Techniques, EOs, Crop modelling, High Performance Computing
MUST HAVE
- Extensive knowledge of machine learning and deep learning techniques
- Experience in manipulating and analyzing Earth Observation data
- Advanced statistics and uncertainty quantification
- High proficiency in high-level scripting languages (e.g., Python)
- Proven previous experience in developing workflows in HPC environment.
NICE TO HAVE
- Experience with land surface and crop growth modelling
- Knowledge of post-processing techniques of weather forecast products
- Proven knowledge of crop growth model setup and calibration
Scientific work tasks:
- Develop workflow to ingest multiple EO data streams into ML/DL techniques.
- Identify skillful predictors of crop yield forecast at different lead time
- Generate crop yield forecasts at different lead time for the selected case studies of the project.
- Perform robust uncertainty analysis and anomaly outlooks of crop yield forecasts.
- Integrate additional data streams generated by a crop growth model for training ML/DL techniques
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
**Project management tasks**:
- Establish a continuous communication and effective co
