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沙特阿拉伯阿卜杜拉国王科技大学精准农业、农业信息学和机器学习博士后职位
文章来源:知识人网整理       更新时间:2020年11月30日

沙特阿拉伯阿卜杜拉国王科技大学精准农业、农业信息学和机器学习博士后职位

POST-DOCTORAL POSITIONS (VARIOUS) IN PRECISION AGRICULTURE, AGRICULTURAL INFORMATICS AND MACHINE LEARNING

Job Description

King Abdullah University of Science and Technology: Postdoc Positions:

Biological and Environmental Science and Engineering Division (postdoc): Environmental Science and Engineering (postdoc)

Location

KAUST, Saudi Arabia

Open Date

Nov 22, 2020

Description

The Hydrology, Agriculture and Land Observation (HALO) group at KAUST is seeking high-quality candidates for a number of Postdoctoral positions in areas related to precision agriculture, agricultural informatics, plant- phenotyping, big-data analytics, and machine learning. These positions may include (but are not limited to):

high-resolution terrestrial remote sensing (Sentinel-2, Planet CubeSats, other satellite platforms)

hyperspectral analysis and interpretation of agricultural systems (UAV-, field-, or laboratory-based)

large scale (nation-to-global) mapping and analysis for developing near real-time informatics (e.g. crop-type, planting and harvest dynamics, irrigation scheduling, crop condition, water-use, yield potential etc.) using Google Earth Engine or similar platforms

multiple areas of UAV-related research (3D reconstruction, vicarious calibration, multi-sensor fusion, etc.) - ideally with experience in thermal, lidar, multi-spectral or hyper-spectral sensing

We are also working with collaborators on projects exploring the application of novel field-based systems (cosmic ray neutron sensor and GNSS) and satellite (GNSS-R) in agriculture, as well as emerging carbon accounting approaches (combining high-resolution remote sensing, in-situ sensing, and modeling) of terrestrial landscapes, with a focus on agricultural, desert and mangrove systems (in the context of nature-based solutions to climate change).

The HALO research group consists of approximately 15 researchers and includes a well-resourced laboratory, supporting infrastructure and state-of-the-art equipment, as well as access to a range of high-performance computing systems. In addition to a generous tax-free salary, benefits such as accommodation, vacation allowance, medical insurance and relocation allowance will also be offered. PhD scholarships cover the full cost of tuition and an associated stipend.

Qualifications

Applicants will hold a PhD in a related field, with demonstrated experience (e.g. publications) in one or more of the open positions

Applicants with prior experience in machine learning, operation of UAVs, big-data analytics are particularly encouraged

Previous experience in the field - particularly in the installation and commissioning of advanced scientific equipment will be viewed favorably

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