PhD Student in remote sensing of agriculture - Hiring in process/Finished, not possible to apply

Profile

The PhD student will work within the project UPSCALE, which is a collaboration project between five Nordic/Baltic institutions. The project aims in using biosignatures to upscale crop traits to satellite level. Techniques for phenotyping of different plant traits is the basis of the project, and it includes developing methodology for upscaling these traits from laboratory to field and satellite data. Image processing and efficient computer algorithms will be used for creating knowledge, and support a better climate adapted agriculture. The project will link to activities in SITES.

Tasks

The aim of the work is to reach a doctors degree by broad education and project work. This entails both individual work and collaborative work under a supervisory team. The PhD student will work with a broad toolset, from laboratory and field measurements of plant traits and spectral properties, to image analysis and computer models. Analysis of field measurements, drone data, satellite data, meteorological data, and information about soil and other properties is important for development of crop growth models for determination of phenological stages and harvest of different agricultural crops. Compilation, analysis and documentation of the research work is an important component of the work.

Qualifications

Basic eligibility for PhD education has a person with an advanced level exam, that has fullfilled courses of at least 240 ECT´s of wich at least 60 are at an advanced level, or in any other way has achived the corresponding level in Sweden or abroad.

Requirement for the position is to hold a Bachelor degree in natural science or technology, and a Master degree in Geomatics/GIS/Remote sensing with orientation towards terrestrial ecosystems. Additional requirements are:

• - Good knowledge in optical remote sensing of vegetation.
• - Experience in analysis of satellite imagery, including time-series analysis.
• - Experience in analysis of data from drone cameras, including geometric and radiometric correction of multispectral images.
• - Experience in analysis of spectral data from near-ground systems (proximal sensing), e.g. spectrometers and radiometers.
• - Experience in analysis of data from imaging systems, e.g. phenological cameras.
• - Experience in combining different types of remotely sensed data.
• - Experience in work with digital GIS.
• - Good knowledge in computer programming, preferentially Matlab or Python.
• - Proficiency in the English language.

Additional merits are:

• - Experience in managing measurement systems for multi- or hyperspectral measurements.
• - Experience as a drone pilot.
• - Good ability in handling of a large amounts of data.

Evaluation of candidates will also consider the following:

• - Ability to plan and carry out work independently
• - Ability to collaborate with others
• - Ability to communicate orally and in writing, e.g. in writing scientific texts

Eligibility
Students with basic eligibility for third-cycle studies are those who- have completed a second-cycle degree- have completed courses of at least 240 credits, of which at least 60 credits are from second-cycle courses, or- have acquired largely equivalent knowledge in some other way, in Sweden or abroad.

The employment of doctoral students is regulated in the Swedish Code of Statues 1998: 80. Only those who are or have been admitted to PhD-studies may be appointed to doctoral studentships. When an appointment to a doctoral studentship is made, the ability of the student to benefit from PhD-studies shall primarily be taken into account. In addition to devoting themselves to their studies, those appointed to doctoral studentships may be required to work with educational tasks, research and administration, in accordance with specific regulations in the ordinance.

Type of employment
Limit of tenure, four years according to HF 5 kap 7§.