||Doctoral Training Partnership Scholarships at UNNC and IGSNRR, CAS
|Length of Scholarship
||Up to 36 months, subject to satisfactory progression
||11 September 2021
||15 April 2021 China Standard Time (CST)
The available PhD scholarship cover
- Tuition fee
- Monthly stipend
- Medical insurance with designated providers
- All above items are covered for up to 36 months based on satisfactory progression
- All regulations set out in the UNNC PhD Scholarship Policy apply
In addition to the above scholarship, successful candidates also have the opportunity to carry out paid teaching (after the completion of Graduate Teaching Assistant (GTA) training) or research assistant duties at UNNC since second year of their PhD programmes.
Available PhD research topics
- A comparative study on the response of zonal vegetation phenology to major climatic factors in different vegetation regions in China
- Big data and artificial intelligence-based drought forecasting system in China
- Current and historic air quality mapping in China
- Criteria and investigation of the original geographical features and ecological civilization model
- Evaluation of effects of the “Sponge City” program for urban water disasters control in China
- Grassland monitoring based on satellites and a ground camera system
- Investigation into the sustainable development of wildlife tourism in China
- Investigation on eco-city construction and urban ecological integrated management mechanism
- Multi-scale analyses of biodiversity and ecosystem functioning under climate change
- Patents “coming in and going out”: Industrial upgrading and mechanism
- Regional ecological environment changes
- Responses of river morphology to human activities and climate change
- 1) Spatiotemporal big data analysis of cancers 2) Spatial statistic trinity: a generic framework of spatial sampling and inference
- Spatial and temporal changes characteristics and influencing mechanism of freshwater ecosystem services in the Guangdong-Hong Kong-Macau Greater Bay Area
- Study on the Natural Resource Management of National Parks in China
- Sustainable urban-rural transformation development path in China based on Eco-service and socio-economic performance
- Restructuring Cultural Landscapes originated from Historic Water Management on River Systems of Chinese Megalopolis
For more details, please click "Research Area and Potential Supervisors".
PhD programme structure
PhD programmes at the UNNC are composed of 3 years research and a 1 year thesis pending period for full time PhDs. Full time PhDs are expected to submit their theses within a maximum of four years from initial registration.
PhD supervision is undertaken jointly by academics from University of Nottingham Ningbo China (UNNC); Institute of Geographic Sciences and Natural Resource Research, Chinese Academy of Sciences (IGSNRR, CAS) and University of Nottingham UK (UNUK).
On successful completion of the PhD, the students will be awarded a PhD degree from University of Nottingham. No reference will be made on the degree certificate as to where the degree has been completed. The University of Nottingham PhD degree is accredited by the Chinese Ministry of Education and the UK Quality Assurance Agency.
Applicants considering to apply for PhD Scholarship must have met the entry requirements of a PhD programme first. More details can be found on the 'entry requirements' page of the website.
Applicants must have a master degree with minimum average score of 65% and degree classification Merit or above from a British university. Applicants also should hold a bachelor degree at upper second class or above level. Applicants from institutions where different score system is used must have achieved an equivalent level of performance to the above.
Applicants must meet the required English language proficiency for the relevant subject area.
How to apply
No separate application is required for applying for a scholarship but please make sure you quote the scholarship reference number in your PhD application form. A list of required documents can be found on the 'how to apply' page.