PhD or Postdoctoral fellow in satellite remote sensing and data assimilation applied to agricultural production

Job title:

PhD or Postdoctoral fellow in satellite remote sensing and data assimilation applied to agricultural production

Company:

Job description

Offer Description

• Perform and disseminate high quality research related to soil moisture and biomass remote sensing, crop modeling, data assimilation and machine learning
• Supervise master thesis students
• For PhD students: follow training in line with the doctoral school requirements

Where to apply WebsiteRequirementsResearch Field Computer science Education Level Master Degree or equivalentResearch Field Engineering Education Level Master Degree or equivalentResearch Field Mathematics Education Level Master Degree or equivalentResearch Field Physics Education Level Master Degree or equivalentLanguages ENGLISH Level ExcellentResearch Field Neurosciences Years of Research Experience 1 – 4Additional InformationBenefits

• EITHER: fully funded PhD scholarship for 4 years; support and training through the Arenberg Doctoral School (

); students graduating with a Msc degree in the summer 2025 are encouraged to apply * OR: postdoc position for 2 years, with a possibility for 1 year extension

• The start date can be negotiated, but no later than the summer-early fall of 2025.
• Competitive salary, support in career development
• Multi-disciplinary and international professional environment
• Leuven is a charming historical university town, located in the heart of Western Europe

Eligibility criteriaPhD student:

• MSc degree in Bioscience Engineering, Civil or Environmental Engineering, Hydrology, Meteorology, Remotely Sensed Earth Observation, Physics, Mathematics, Computer Sciences, or equivalent
• Excellent motivation to work on soil-plant processes, remote sensing and modeling
• Experience with data-processing or programming in Python, Matlab, IDL, GrADS, R, or other
• Interest in open source code distribution (e.g. GitHub)
• Excellent motivation and grades
• Creative, critical, analytical and innovative mindset
• Ability to work independently
• Excellent written and oral communication skills in English

Postdoctoral researcher:

• PhD degree in Civil or Environmental Engineering, Bioscience Engineering, Hydrology, Meteorology, Remotely Sensed Earth Observation, Physics, Mathematics, Computer Sciences, or equivalent
• Experience with land surface and/or atmosphere and/or crop processes and modeling
• Experience with remote sensing, Earth observation, large datasets
• Experience in statistics, including some notions on data assimilation
• Experience with data-processing software such as Python, Matlab, IDL, GrADS, R, or other
• Experience with programming and scientific computing in a language such as Fortran or C
• Experience with high-performance computing in a Linux environment
• Excellent motivation and grades
• Creative, critical, analytical and innovative mindset
• Ability to work independently and lead a small research group
• Excellent written and oral communication skills in English, proven in publications
• Experience with working with Git/Github is an advantage

Selection processOnly scientists matching the above profile should apply. Please submit your resume, along with a motivation letter and two names for references via the online application tool. Applicants for a PhD position, please make sure to indicate your study grades (obtained until now) in your resume. For more information please contact prof. dr. ir. Gabrielle De Lannoy, tel.: +32 16 37 67 13, mail: gabrielle[dot]delannoy[at]kuleuven[dot]be.
You can apply for this job no later than 30/03/2025 via theWork Location(s)Number of offers available 1 Company/Institute KU Leuven Country Belgium State/Province Vlaams Brabant City Leuven Postal Code 3000 Street Leuven GeofieldContact State/ProvinceLeuven CityVlaams Brabant StreetLeuven Postal Code3000 E-Mail[email protected]STATUS: EXPIREDShare this page

Expected salary

Location

Louvain, Brabant Flamand

Job date

Sat, 22 Feb 2025 02:15:13 GMT

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