Job advertisement Land surface modeling, remote sensing and data assimilation

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Land surface modeling, remote sensing and data assimilation

Position
Land surface modeling, remote sensing and data assimilation

Employer
KU Leuven logo

KU Leuven

KU Leuven is an institution for research and education with international appeal. All programmes at this University are based on the innovative research of its scientists and professors.
KU Leuven ranks among the best 50 universities worldwide!

Homepage: https://www.kuleuven.be/kuleuven/


Location
Leuven, Belgium

Sector
Academic

Relevant divisions
Biogeosciences (BG)
Earth and Space Science Informatics (ESSI)
Earth Magnetism & Rock Physics (EMRP)

Type
Full time

Level
Entry level

Salary
Open

Required education
Master

Application deadline
30 June 2020

Posted
28 January 2020

Job description

Join our team to help us take care of our Earth, by making the best use of land surface modeling, remote sensing and data assimilation. We are seeking enthusiastic candidates for 3 PhD and postdoctoral research positions.

We offer a unique possibility to new researchers to choose a topic of interest within one of three projects. Details of each project are provided in the associated links below and candidates are asked to specify their main interest upon application:

1. Monitoring and predicting fires over peatlands, using improved land surface modeling and satellite data assimilation (PhD)
PEATBURN, https://ees.kuleuven.be/projects/index.html?db=EES&project_id=841

2. Improving agricultural biomass estimation, via crop modeling and satellite-based data assimilation (Postdoc or PhD)
SHUI, https://ees.kuleuven.be/geography/projects/index.html?project_id=604

3. Developing a global consistent record of soil moisture and vegetation via microwave-based satellite data assimilation for climate applications (PhD or postdoc)
CONSOLIDATION, https://ees.kuleuven.be/projects/index.html?db=EES&project_id=846

PhD positions are fully funded for 4 years, whereas the postdoctoral position is funded for 2 years.

You will fit our team if you are a creative researcher with a keen interest in remote sensing and land surface processes and eager to work in an international setting. You will be part of the Department of Earth and Environmental Sciences at the KU Leuven under the supervision of prof. dr. ir. Gabrielle De Lannoy, dr. Michel Bechtold, dr. Alexander Gruber, and collaborators in multiple highly ranked research institutes.
Website unit: https://ees.kuleuven.be/bwb/index.html

Responsibilities

  • Land surface modeling, remote sensing data analysis, statistical analysis, data assimilation, in situ data analysis over large domains;
  • Disseminating results via peer-review publications and attendance of international conferences;
  • Collaborating with other postdoctoral researchers and PhD students, and international partners;
  • Contributions to academic teaching.

Profile

Only applicants with all of the following skills will be considered.

For PhD Students:

  • Msc in Bio-Science Engineering, Civil or Environmental Engineering, Meteorology, Hydrology, Remotely Sensed Earth Observation, Physics, Mathematics, Geography or equivalent;
  • Msc students who will graduate beginning of July2020 can apply;
  • Good experience with data-processing applications such as Matlab/Python, IDL, GrADS, R, or other
  • Interest in programming and scientific computing on Linux systems;
  • Interest in land surface remote sensing, hydrological or land surface modeling;
  • Interest in data assimilation;
  • Excellent motivation and grades;
  • Creative, critical, analytical and innovative mindset;
  • Ability to work independently;
  • Excellent written and oral communication skills in English.

For postdoctoral researchers:

  • PhD degree in in Bio-Science Engineering, Civil or Environmental Engineering, Meteorology, Hydrology, Remotely Sensed Earth Observation, Physics, Mathematics, Geography or equivalent;
  • Proven research experience in scientific publications;
  • Strong experience with data-processing applications such as Matlab/Python, IDL, GrADS, R, or other
  • Experience with programming and scientific computing on Linux systems;
  • Experience with land surface remote sensing, hydrological or land surface modeling;
  • Interest in data assimilation;
  • Excellent motivation;
  • Creative, critical, analytical and innovative mindset;
  • Ability to work independently;
  • Excellent written and oral communication skills in English;
  • Willingness to work with PhD students and help with educational tasks.

Offer

  • Fully funded position for 4 (PhD) or 2 (postdoc) years, conditional on good performance;
  • Multi-disciplinary and international professional environment;
  • Leuven,a charming historical university town, with a central location in Western Europe.

More information about working conditions, salary and benefits can be found here:
https://www.kuleuven.be/personeel/jobsite/en/phd/phd-information


How to apply

Interested?
Only persons strictly matching the above profile should apply. Please submit your resume, along with a motivation letter with an indication of your main research interest, and two names for references on-line. PhD students are also requested to submit their grades. The starting date can be immediate after selection, or can be negotiated. For more information, please contact prof. dr. ir. Gabrielle De Lannoy, tel.: +32 16 3767 13, e-mail: gabrielle.delannoy@kuleuven.be. With specific questions for PEATBURN, please contact dr. Michel Bechtold, tel. +32 16 32 0167, e-mail michel.bechtold@kuleuven.be.

The selection process will start on March 20, 2020, i.e. if you are keen to work on your preferred research topic, make sure that your application is submitted before March 20, 2020. The on-line application tool will remain accessible until all suitable candidates are identified.
You can apply for this job no later than June 30, 2020 via the online application tool.
KU Leuven seeks to foster an environment where all talents can flourish, regardless of gender, age, cultural background, nationality or impairments. If you have any questions relating to accessibility or support, please contact us at diversiteit.HR@kuleuven.be.