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Luxembourg Institute of Science and Technology
Tuesday, September 15, 2020
Thursday, October 1, 2020
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.
You will be part of the LIST Environmental Research and Innovation department
As part of a Research and Technology Organization (RTO), the work of the Environmental Research and Innovation (ERIN) Department tackles some of the major environmental challenges our society is facing today (e.g. adaptation to climate change, ecosystem resilience, sustainable energy systems, efficient use of renewable resources, environmental pollution prevention and control).
To this end, the mission of the ERIN department is:
(1) to conduct impact-driven scientific research and development, as well as technological innovation;
(2) to support companies in the implementation of new environmental regulations and advise governments on determining sustainable policies for the future, with the objectives of:
Within the ERIN department, the ‘Environmental Sensing and Modelling’ (ENVISION) unit contributes to this mission by carrying out impact-driven research, geared towards monitoring, forecasting and predicting environmental systems in a changing world. An interdisciplinary team of around 50 scientists, engineers, post-docs and PhD candidates is developing new environmental process understanding, alongside new tools and technologies – operating at unprecedented spatial and temporal scales.
Embedded into the ENVISION unit, the ‘Remote sensing and natural resources modelling’ research group capitalizes on a blend of remote sensing data obtained from space- and air-borne platforms, as well as in-situ measured data (collected from heterogeneous IoT devices), for producing information on the status of natural resources for public and private stakeholders.
To strengthen its activities in natural resource modelling and end-to-end decision support tools, LIST is offering a permanent position for a remote sensing scientist specialized in image classification. You will leverage Earth Observation (EO) and Internet of Things (IoT) data for contributing to the design or advancement of image classification methods. In particular, you will use Deep Learning/Machine Learning–based numerical models to convert remote sensing data into key environmental variables that shall be used across a wide range of applications (e.g., natural disasters such as floods and droughts, water resources management, maritime surveillance, food security, precision agriculture, natural resource management, etc.). You will build end-to-end processing chains from data collection to model definition, implementation, testing and benchmarking. For carrying out these tasks, you will work with an international highly interdisciplinary team of scientists and engineers with expertise in remote sensing (optical and radar), IoT, hydrology and plant physiology.
You will contribute to RDI projects by:
Moreover, you will contribute to the dissemination, valorisation and transfer of RDI results through: