3 IAOS Scientists Got NSFC Fund for Excellent Young Scholars
Release date: 2019-08-22

5 OUC young scientists got the 2019 NSFC Fund for Excellent Young Scholars, among whom 3 belong to IAOS, Prof. YU Sheng Yao, Associate Prof. JIANG Zhaoxia, and Associate Prof. GAN Bolan. The NSFC Fund for Excellent Young Scholars was set up in 2012 which aims at cultivating a group of excellent researchers of world-class. The funding rate in recent years is less than 10%. Up to now, 19 scientists from OUC got this fund.

  

Prof. YU Shengyao

Research Interests:

Tectonics and Metamorphic Geology

Recent research topics include (1) metamorphism and anatexis in the collision orogenic belt: North Qaidam and Altyn HP-UHP metamorphic belt , (2) supercontinent reconstruction: research on the precambrian metamorphic basement of Tarim craton, (3) continental crust growth and differentiation: continental arc metamorphism, anatexis and magmatism in North Qilian and North Qaidam, (4) tectonic processes of the Yanshanian continental margin: studies on metamorphism, deformation and magmatism of the Bangong-Nujiang suture belt in the southwestern continental margin, the subduction-collision belt of the Pacific Ocean in the eastern continental margin and the Mongol-Okhotsk orogenic belt in the northern continental margin.

  

Associate Prof. JIANG Zhaoxia

Research Interests:

Paleomagnetism and marine geology

Recent research topics include 1) Submarine tectonics based on paleomagnetic and rock magnetic methods; 2) Climate change study on marine sediments with environmental magnetic and magnetostratigraphy methods.

  

Associate Prof. GAN Bolan

Research Interest:

Climate dynamics: climate variability at multiple time scales and sensitivity of climate system to large-scale and long-term forcing.

Particular interests: observational and modelling studies of multi-scale ocean-atmosphere interactions in the extratropics; role of oceanic dynamics in the decadal-to-interdecadal climate variability and climate change; sensitivity of climate variability modes to climate change scenarios.