The Dr. Calvin Martin Memorial Scholarship Trust Fund Inc, a non-profit charitable organization, was named in memory of its founder Dr. Calvin Martin. His passion was a love for education. He fulfilled this by demonstrating his pedological skills as a teacher and administrative skills as a New York City Public School Principal.
His career allowed him to develop a unique perspective on the American Education System.
The mission of the Scholarship Trust Fund is to educate African American Male Students through a scholar and mentorship program, to achieve higher academic excellence.
Eligibility
Deadline
According to the Interim Regulations of Shanghai Government Scholarship for International Students (hereafter referred to as the Scholarship), this detailed implementation for international students in ECUST has hereby been set forth.The scholarship is divided into Type A and B
Type A, as a full scholarship, covers tuition, basic learning material, accommodation; it provides insurance for major diseases and accidents; living allowance is offered monthly: 1700 RMB for master student and 2000 RMB for PHD student. It is awarded to applicants for masters and above. The numbers to be awarded is 10 each year.
Type B is semi-scholarship, including tuition, basic learning material and accommodation.
It will be awarded to applicants for masters and above. The numbers to be awarded is 6 each year.
Requirements
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A PhD scholarship is available at the Department of Environmental, Social and Spatial Change (ENSPAC),
Modelling spatial catchment hydrology using Earth Observation and Distributed Temperature Sensing of streams
The purpose of the PhD project is to use distributed temperature sensing (DTS) of streams to improve the spatial parameterization and modelling of catchment hydrological processes. The DTS system uses a long (2 km) fiber-optic cable to provide stream temperature measurements with 1 m resolution. In particular, the system will be used to identify, parameterize and model lateral inflows to the stream in relation to the spatial characteristics of the upland contributing areas. The PhD student will be involved in measuring, analyzing and modelling the data using also ancillary information.
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