Luxembourg Job Openings

Luxembourg Institute of Science and Technology (LIST)

E-25109 R&T SCIENTIST IN HYPERSPECTRAL REMOTE SENSING

Esch-sur-Alzette

PART TIME

October 15, 2024

Description
Temporary contract | up to 24 months (70% part time) | Belvaux
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/

How will you contribute?


LIST is offering a 24 months fixed-term position for a researcher in hyperspectral remote sensing. You will work within a collaborative group of scientists and engineers at LIST in Luxembourg in the Hy Spec Project. Hy Spec (“Hyperspectral and other Space assets exploitation with intelligent data processing to support military commander’s decision-making process”) is funded by the European Defence Agency (EDA) and aims to address critical operational needs within the field of defence intelligence. Hy Spec aims at the integration of optical, hyperspectral, and radar imagery, which are governed by different physical principles. Hy Spec directly contributes to the EDA's strategic research agenda by advancing Earth observation, reconnaissance and data processing. In the domain of hyperspectral technology the project aims to exploit hyperspectral data for defense applications. This includes the development of algorithms and processing chains, both on-ground and on-board, to extract valuable information from hyperspectral data. The project explores techniques to remove atmospheric effects, retrieve surface spectral reflectance and emissivity, and validate these methods through surveys and air-borne data acquisition.



You will be mainly in charge of:


  • Organisation of experimental surveys and acquisition of airborne (drone and piloted aircraft) VNIR-SWIR-LWIR data
  • Co-registration of images acquired from different platforms and correction of atmospheric effects
  • Review of existing hyperspectral sensors and methods and their capabilities and evaluation of their effectiveness
  • Algorithm prototyping for spectral emissivity and reflectance retrieval and validation
  • Evaluation of hyperspectral SWIR data for specific defence applications, e.g. landmine detection
  • Contributing to project reporting and presentation of scientific outcomes in top-ranked scientific journals and at international workshops


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

  • You hold a Ph.D. in Remote Sensing, Geography, Earth Sciences, Environmental Sciences, or a closely related field and have gained a minimum of 2 years of Post-Doc experience.


Experience and skills


  • Proven experience and knowledge in multi- and hyperspectral visible near infrared, shortwave infrared and longwave (thermal) infrared remote sensing.
  • Proven experience in using surface spectral emissivity for soil, rock, or vegetation applications.
  • Proven skills in the processing of hyperspectral data from raw data to calibrated radiances and surface reflectance and emissivity.
  • Experience in separating temperature and emissivity from radiance measurements
  • Very good skills in scientific writing demonstrated by a record of published papers
  • Knowledge on machine/deep learning will be considered an asset


Language skills


  • Good level both written and spoken English and French or German


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



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


Please apply ONLINE formally through the HR system. Applications by email will not be considered.



Application procedure and conditions



We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any discriminatory purposes.

LIST is dedicated to maintaining an inclusive work environment and is an equal opportunity employer. We are committed to attracting, hiring, and retaining a diverse workforce. All applicants will be considered for employment without discrimination based on national origin, race, colour, gender, sexual orientation, gender identity, marital status, religion, age, or disability.
Applications will be continuously reviewed until the position is filled. An assessment committee will thoroughly evaluate applications, adhering to guidelines designed to ensure equal opportunities. The primary criteria for selection will be the alignment of the applicant's existing skills and expertise with the requirements mentioned above.

Languages English Education Doctorate Experience 2+ years
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