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E-2130 POST-DOCTORAL RESEARCHER IN THE FIELD OF RADAR REMOTE SENSING AND IMAGE PROCESSING

E-2130 POST-DOCTORAL RESEARCHER IN THE FIELD OF RADAR REMOTE SENSING AND IMAGE PROCESSING

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.


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 post-doctoral position for a radar remote sensing scientist, specialized in image and signal processing. You will leverage multi-temporal and multi-sensor collections of remote sensing data and ancillary information to design, develop, implement and evaluate processing chains – enabling an automated high-quality monitoring of oil spills. In particular, you will contribute to the design, development and testing of algorithms enabling : (i) an accurate oil spill detection and mapping from Synthetic Aperture Radar (SAR) multi-temporal datasets and ancillary information with the capacity to differentiate between dark backscatter areas generated by oil pollution and oil spill look-alikes, and (ii) multi-sensor (SAR, optical EO, AIS) characterization of vessel traffic patterns in areas affected by oil spills to support the identification of potential sources responsible for oil discharges into the sea. 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 closely with an international and highly interdisciplinary team of scientists and engineers with expertise in remote sensing (optical and radar), image and signal processing research applied to the maritime surveillance domain.


Responsibilities

How will you contribute?

To strengthen its activities in natural resource modelling and end-to-end decision support tools, LIST is offering a post-doctoral position for a radar remote sensing scientist, specialized in image and signal processing.

You will leverage multi-temporal and multi-sensor collections of remote sensing data and ancillary information to design, develop, implement and evaluate processing chains – enabling an automated high-quality monitoring of oil spills.

In particular, you will contribute to the design, development and testing of algorithms enabling :

(i) an accurate oil spill detection and mapping from Synthetic Aperture Radar (SAR) multi-temporal datasets and ancillary information with the capacity to differentiate between dark backscatter areas generated by oil pollution and oil spill look-alikes,

(ii) multi-sensor (SAR, optical EO, AIS) characterization of vessel traffic patterns in areas affected by oil spills to support the identification of potential sources responsible for oil discharges into the sea.

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 closely with an international and highly interdisciplinary team of scientists and engineers with expertise in remote sensing (optical and radar), image and signal processing research applied to the maritime surveillance domain.


You will contribute to RDI projects by:

• Developing and coding innovative remote sensing-based algorithms to detect, map and monitor oil spills and to investigate their origin.  

• Contributing to the development of operational maritime tools leveraging remote sensing data.

• Running procedures for evaluating and assessing algorithm performances.

• Processing and analysing large collections of optical and radar satellite data, e.g., Sentinel-1 and Sentinel-2, ICEYE, Radarsat-2.

• Contributing to software development, integration, testing and deployment. 

• Developing partnerships and networks at national and international levels.

• Disseminating and publishing the results in top ranked scientific journals



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 remote sensing / earth observation, image or signal processing, telecommunications engineering (or similar).

Experience and skills

• Good knowledge of EO toolkits (e.g., SNAP, ENVI, SARscape, etc.).

• Excellent programming skills (e.g., Python, Matlab, IDL, etc.).

• Experience in maritime applications based on remote sensing data (preferably Synthetic Aperture Radar) is considered as an asset.

• Experience in the use of Automatic Identification System (AIS) data for vessel monitoring is considered a plus.

• Experience with image processing software.

• Experience in SAR data analytics.

• Excellent communication skills in presenting scientific research, and writing papers in scientific journals, technical reports.

• 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.

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

OPTIONAL LANGUAGES

The following languages are optional but are considered a plus.
  • Read C1 Advanced
    Write C1 Advanced
    Speak C1 Advanced
  • Read C1 Advanced
    Write C1 Advanced
    Speak C1 Advanced
  • Read C1 Advanced
    Write C1 Advanced
    Speak C1 Advanced
minimum required Education
Required work experience in years
0 or more years
Details
Employment type
Contract type
Hours per week
40
Contract period
Months
Contract duration
24
Location
Country
City
Esch-Sur-Alzette

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