This Scholarship is available to PhD students who are undertaking research on exploring the different scale soil covariates required to generate digital soil maps to improve crop system modelling and agricultural decision making at different scales in sub-Saharan Africa.
Open to: The Scholarship is offered subject to the applicant having an unconditional offer of admission to study full-time in a PhD within the School of Life and Environmental Sciences at the University of Sydney.
Applicants must be an International student, that is, an applicant who is not an Australian Citizen, New Zealand Citizen, or Australian Permanent Resident.
Applicants must also hold at least one of the following:
I. an Honours degree (First Class or Second Class Upper) or equivalent in a relevant discipline, or
II. Masters degree with a substantial research component, or
III. Graduate Diploma with substantial research component in the area of mathematics sciences and agriculture
Applicants must be willing to conduct research into deriving high-resolution digital soil maps for multiscale prediction of agricultural production.
Applicant must have a background in mathematics, statistics, agriculture, programming.
Value and Duration: The Scholarship will provide a stipend allowance equivalent to the 50% of the minimum Research Training Program (RTP) Stipend rate (indexed on 1 January each year) for up to three years, subject to satisfactory academic performance.
The recipient may apply for an extension of the stipend allowance for up to six months.
Academic course fees and the Student Services Amenities fee (SSAF) are also provided for a successful international applicant, for 12 research periods, subject to satisfactory academic performance.
The recipient may apply for an extension of the academic course fees and SSAF for up to 2 research periods.
Overseas Student Health Care cover (single-cover only) will also be provided to the successful recipient.
Opens: APPLY NOW
Closes: 12 July 2019 at 11:59PM
Source: http://sydney.edu.au/scholarships/research/faculty/science.shtml#SC3103
