Tian Zhan

Research Professor |College of Engineering

Dr. Zhan Tian now is a Research Professor of the School of Environmental Science and Engineering at Southern University of Science and Technology. He had more than fifteen years working experiences in climate change impacts analysis, and adaptations and mitigations policy designs and implementation. After MSc and PhD studies on Climate change science and policy in Chinese Academy of Sciences (PhD) and China Agriculture Academy of Sciences (MSc), He began his career as a government scientific-official at Shanghai Meteorological Bureau in 2006 and his post was created as a talent-hiring initiative of the Bureau. In the same year, he was awarded the prestigious Global Change Visiting Scientist Fellowship of the START International, and visited the International Institute for Applied Systems Analysis (IIASA) in Austria, a top rank international institution in climate change research. Since 2008, he has published 65 research articles in international peer-reviewed journals. He has also been a leading contributor to 8 highly influential policy reports and policy briefings. He has been the Principal Investigator (PI) of 1 Ministry Science and Technology of People’s Republic of China,6 National Science Fund of China (NSFC) funded projects, 4 UK government (China Prosperity and Newton funding) projects, 3 climate change special projects of China Meteorological Administration, 2 Energy conservation and emission reduction projects in Shanghai. He was the coordinator of more than 50 scientists in organizing interview activities for drafting the East of China Regional Climate Change Assessment Report. These achievements have made him one of the leading authors in the field of climate change research in China.

Personal Profile

Dr. Zhan Tian now is a Research Associate Professor of the School of Environmental Science and Engineering at Southern University of Science and Technology. He had more than fifteen years working experiences in climate change impacts analysis, and adaptations and mitigations policy designs and implementation. After MSc and PhD studies on Climate change science and policy in Chinese Academy of Sciences (PhD) and China Agriculture Academy of Sciences (MSc), He began his career as a government scientific-official at Shanghai Meteorological Bureau in 2006 and his post was created as a talent-hiring initiative of the Bureau. In the same year, he was awarded the prestigious Global Change Visiting Scientist Fellowship of the START International, and visited the International Institute for Applied Systems Analysis (IIASA) in Austria, a top rank international institution in climate change research. Since 2008, he has published 20 research articles in international peer-reviewed journals. He has also been a leading contributor to 8 highly influential policy reports and policy briefings. He has been the Principal Investigator (PI) of 5 National Science Fund of China (NSFC) funded projects, 4 UK government (China Prosperity and Newton funding) projects, 3 climate change special projects of China Meteorological Administration, 2 Energy conservation and emission reduction projects in Shanghai. He was the coordinator of more than 50 scientists in organizing interview activities for drafting the East of China Regional Climate Change Assessment Report. These achievements have made him one of the leading authors in the field of climate change research in China. 

EDUCATION 

2003 - 2006                        Ph. D. degree in Global Change and Geographic Information System, The Institute of                                                      Geographical Sciences and Natural Resources, Chinese Academy of Sciences.

2000 - 2003                        M. S. degree in Climate Change and Agricultural Ecology, Shan Xi Agricultural                                                                  University and Chinese Agricultural Academy of Sciences.

1996 - 2000                          B.S. degree in Medicinal botany, Shan Xi Agricultural University.

WORKING EXPERIENCES

Sep. 2018 to present          Research Associate Professor of the School of Environmental Science and Engineering at                                                  South University of Science and Technology of China

Aug. 2018 to Aug.2018     Visiting Scientist The School of Oriental and African Studies of the University of London                                                  (SOAS)

Dec. 2008 to Aug.2018      Senior Research Scientist and Division Chief, Climate Change Division, East Regional                                                      Center of Chinese Meteorological Administration, Shanghai (CMA).

Feb. 2016 to Apr. 2016      Visiting Scientist The School of Oriental and African Studies of the University of London                                                  (SOAS) and UK Met office Hadley Centre.

Jul. 2012 to Aug.2012        Visiting Scientist, Institute for Applied Systems Analysis (IIASA). Austria.

Jul. 2011 to Aug.2011         Visiting Scientist, Institute for Applied Systems Analysis (IIASA). Austria.

Aug .2006 to Nov.2008     Research Scientist, Agro-Meteorological Division, Shanghai Climate Change Research                                                     Center, East Regional Center of Chinese Meteorological Administration (CMA).
Mar. 2007 to Sep.2007      Post-Doc. at Institute for Applied Systems Analysis (IIASA). Austria.

 

EXPERIENCES ON CLIMATE CHANGE ASSESSMENT REPORTS

2017-            2rd East China Climate Change Assessment Report (Coordinating Lead Author)

2015-2017   Shanghai Climate Change Adaptation Strategy Report (Coordinating Lead Author)

2015-2016   China National Strategy for Urban Adaptation to Climate Change (Lead Author)

2013- 2015   Assessment Report on Climate Change of Yangtze River Delta Urban Agglomeration (Coordinating                             Lead Author)

2009-2011   China National Strategy for Climate Change Adaptation (Lead Author)

2008-2012   1st East China Climate Change Assessment Report (Coordinating Lead Author)

 

RESEARCH PROJECTS

2019~2021 Co-Principal Investigator, “Providing predictions of typhoon season characteristics for shipping in the Pearl River Delta” sponsored by the Met Office and Newton Fund of the UK , (GBP 320,000).

2018~2020 Lead Principal Investigator, “Developing Engineering Options for Mitigating Future Compound Flooding Risks in Shanghai by Transferring the Expertise of UK TE2100” sponsored by UK Royal Academy of Engineering and Newton Fund of the UK , (GBP 140,000).

2017~2021 Principal Investigator (China side), ‘Sustainable Solutions for Managing Compound Flood Risks under Future Uncertainties: The Case of Shanghai City and the Yangtze River Delta Region’ sponsored by NWO (The Netherland)-NSFC (China)-EPSRC (UK), (EUR 280,000 + RMB 3 million + GBP 300,000).

2017~2019 Co-Principal Investigator, “Development of an Integrated Urban Framework for Climate Services in the Yangtze River Delta Region” sponsored by the Met Office and Newton Fund of the UK , (GBP 155,000).

2017~2020 Principal Investigator, “Employing Robust-Decision-Making Perspective to Guide the Evaluations of Alternative Options in Mitigating Flooding Risks Posed by Extreme Events under future Climate Change – Taking Shanghai as an Example” Sponsored by National Natural Science Foundation of China (NSFC) (750 thousand RMB).

2016~2017 Principal Investigator, “Climate Risk Assessment for the City Cluster in the Yangtze River Delta Region” Sponsored by UK Foreign and Commonwealth Office China Prosperity Strategic Programme Fund (SPF) (110K GBP).

2015~2016 Principal Investigator, ‘A Study of Flood Control Strategies for Shanghai to Respond to Climate Change’ Sponsored by UK Foreign and Commonwealth Office China Prosperity Strategic Programme Fund (SPF) (84520 GBP).

2014~2017 Principal Investigator, “Assessing the regional suitability and comparable advantages of growing Oil crop in China under climate change” Sponsored by National Natural Science Foundation of China (NSFC) (750 thousand RMB).

2012~2014 Principal Investigator, “Climate Change Adaptation Policy on Extreme Weather and Risk Management in Shanghai City” Sponsored by Shanghai Special Funding of Climate Change(400 thousand RMB).

2010~2012 Coordinator and Co-Principal Investigator, “Assessing the Impact of Climate Change and Intensive Human Activities on China's Agro-Ecosystem and its Supply Potentials”, Sponsored by National Natural Science Foundation of China NSFC–IIASA Major International Joint Research Project Foundation (1, 000 thousand RMB).

2009~2011 Principal Investigator, “Assessing the Impacts of Climate Change on Crop Productivity: Mixed Scale Data Fusion and Cross Scale Model Simulation”, Sponsored by National Natural Science Foundation of China (NSFC) Young Scientist Foundation (190 thousand RMB).

2008~2009 Principal Investigator, “Climate Change Analysis and Forecasting for Shanghai Municipality”, Sponsored by World Wide Fund for Nature (WWF) (180 thousand RMB).

 

MAJOR AWARDS AND HONORS

2017  Third Class Prize of 2017 Excellent Meteorological Soft Science Research Achievements (rank 2).

2016 The 8th China Technology Market Golden Bridge Award.

2015 National Science and Technology Week and Shanghai Science and Technology Festival Advanced Individual            Award.

2014 Third Class Prize of Shanghai Science and Technology Progress Award (rank 3).

2011 Shanghai Municipal Young Excellent Expert Award

2007 Global Change System for Analysis, Research and Training (START) Young Scientist Fellowship;

2006 Chinese Academy of Sciences Young Scientist (PhD) Innovative Research Fund;

2005 The first Young Environmental Scientist fellowship provided by the Institute for Environment and Human Security, United Nations University (UNU-EHS);

2005 National Natural Science Foundation of China (NSFC)-International Institute for Applied Systems Analysis             (IIASA) Young Scientist Summer Program fellowship

 

RESEARCH INTERESTS

  • Simulation and application of regional climate model
  • Simulation and assessment of urban flood risk
  • Development and application of agricultural ecology system models
  • Climate change impact adaptation decision-making research

Research

1.Simulation and application of regional climate model

2.Simulation and assessment of urban flood risk

3.Development and application of agricultural ecology system models

4.Climate change impact adaptation decision-making research


Publications Read More

  • Tian, Z., Yu, Z., Li, Y., Ke, Q., Liu. J*., Luo, Y., Tang, Y., 2022. A Data-driven Approach to Estimate the Impact of Rainfall on Pollution from Urban Runoff: A Case Study of Shiyan River, Shenzhen, China”, Frontiers in Environmental Science  (IF=5.411,Q2). https://DOI: 10.3389/fenvs.2022.887446
  • Xu, H., Tian, Z. *,Sun, L., Ragno, E.,  Bricker, J., Mao, G., Ye Q., Tan, J., Wang, J.,Ke, Q.,Wang, S., Toumi, R., 2022. Compound flood impact of water level and rainfall during tropical cyclone period in a coastal city: The case of Shanghai. Natural Hazards and Earth System Sciences (IF=4.580, Q1). https://DOI: 10.5194/nhess-2022-26
  • Dong, G., Jiang, Z., Wang, Y., Tian, Z.*, Liu, J.,2022. Evaluation of extreme precipitation in the Yangtze River Delta Region of China using a 1.5 km mesh convectionpermitting regional climate model. Climate Dynamics (IF=4.901, Q1). https://DOI: 10.1007/s00382-022-06208-1
  • Tian, Z., Lv, X., Zou, H.*, Yang H., Sun, L., Pinya, M., Chao, Q., Feng, A., 2022. Developing Index-Based Assessments of Perceived Climate Risk and Adaptation Options for Megacities: The case of Shanghai and Shenzhen in China. Advance in Climate Change Research (IF=4.746, Q2).   https://DOI:10.1016/j.accre.2022.02.003
  • Liu, Q., Cui, W., Tian, Z., Tang, Y., Tillotson, M., Liu, J.*, 2022. Stormwater management modeling in “sponge city” construction: current state and future directions. Frontiers in Environmental Science (IF=5.411,Q2). https://DOI: 10.3389/fenvs.2021.816093
  • Xie, Y., Dong, G. *, Wang,Y., Fan, D.*Tian, Z., Tan, J., Wu, W., Zhang, M., 2021. High-resolution ensemble projection of mean and extreme precipitation over China based on multiple Bias-corrected RCM simulations. Frontiers in Earth Science (IF=3.661,Q2). https://DOI: 10.3389/feart.2021.771384
  • Dong*, G., Xie, Y., Wang, Y., Fan, D., Tian, Z.*,2021. Ensemble projection of extreme precipitation over China based on three dynamical downscaling simulations. Frontiers in Earth Science (IF=3.661,Q2) .     https://DOI:10.3389/feart.2021.755041
  • Fan, D., Fan, Y., Tian, Z.*,Li, X., Jiang, M., Sun, L.*, Zhong, H., Wang, K., Wang, X., Jiang, L., 2021. A Vital Option for Food Security and Greenhouse Gases Mitigation: Planting Elite Super Rice in Double-to single-rice Cropping Fields in China. Environmental Research Letters (IF=6.947, Q1), 16(9):094038.
  • Fan, D., Jiang, Z., Tian, Z.*,Dong, G., Sun, L., 2021. The effects of climate change on Chinese Medicinal Yam over North China under the high-resolution PRECIS projection.Earth and Space Science(IF=3.68, Q2), 8(8): e2021EA001804.
  • Ke, Q., Yin, J., Bricker, J.*, Savage, N., Erasmo, B., Ye, Q., Visser, P., Dong, G., Wang, S., Tian, Z.*Sun, L., Toumi. R., Jonkman, S.N., 2021. An integrated framework of coastal flood modelling under the failures of sea dikes: a case study in Shanghai. Natural Hazards(IF=3.158, Q2), 109: 671-703.
  • Wang, S., Toumi, R., Ye, Q., Ke, Q., Bricker, J., Tian, Z.*, Sun, L., 2021. Is the tropical cyclone surge in Shanghai more sensitive to landfall location or intensity change? Atmospheric Science Letters(IF=2.992, Q3), 22(10): e1058.
  • Huang, X., Li, Y., Tian, Z.*, Ye, Q., Ke, Q., Fan, D., Mao, G., Chen, A., Liu*, J., 2021. Evaluation of short-term streamflow prediction methods using hourly rainfall data in urban river basins. Physics and Chemistry of the Earth, Parts A/B/C (IF=3.311, Q2), 123:103027.
  • Liu, J., Schlünzen, H., Frisius, T., Tian, Z.*,  2021. Effects of Urbanization on Precipitation in BeijingPhysics and Chemistry of the Earth, Parts A/B/C (IF=3.311, Q2), 122:103005.
  • Zhong, H., Feng, K., Sun, L., Tian, Z., Fischer, G., Cheng, L., Castillo, R., 2021. “Water-land Tradeoffs to Meet Future Demands for Sugar Crops in Latin America and the Caribbean: A Bio-physical and Socio-economic Nexus Perspective.” Resources, Conservation & Recycling(IF=13.716, Q1), 169:105510.
  • Tian, Z., Fan, Y., Wang, K., Zhong, H., Sun, L.*, Fan, D., Tubiello, F., Liu, J.*, 2021. Searching for “Win-Win” Solutions for Food-Water-GHG Emissions Tradeoffs across Irrigation Regimes of Paddy Rice in China. Resources, Conservation & Recycling(IF=13.716, Q1), 166:105360.
  • Tian, Z., Ji, Y., Xu, H., Qiu, H.*, Sun, L.*, Zhong, H., Liu, J., 2021. The potential contribution of growing rapeseed in winter fallow fields across Yangtze River Basin to energy and food security in China. Resources, Conservation & Recycling(IF=13.716, Q1). 164:105159.
  • Ke, Q., Tian, X., Bricker, J., Tian, Z.*, Guan, G., Huang, X., Yang, H., Liu, J., 2020. Urban pluvial flooding prediction by machine learning approaches – a case study of Shenzhen city, China. Advances in Water Resources (IF=5.361, Q1), 145:103719.
  • Dong, G., Jiang, Z., Tian, Z.*, Erasmo, B., Sun, L.*, Fan, D., 2020. A Technical Report on Projected Changes in Extreme Precipitation and Temperature in the Yangtze River Delta Region during the 21st Century. Earth and Space Science(IF=3.68, Q2),7(9):e2019EA001024.  
  • Jiang, Z., Tian, Z., Dong, G.*, Zhang, P., Erasmo, B., Fan, D., 2020. High-Resolution Projections of Mean and 2 Extreme Precipitation over China by Two 3 Regional Climate Models. Journal of Meteorological Research(IF=2.569, Q3), 34(5): 965-985.
  • Liu, X., Tian, Z.*, Sun, L.*, Liu, J., Wu, W., Xu, H., Sun, L., Wang, C.,2020. Mitigating heat-related mortality risk in Shanghai, China: system dynamics modeling simulations. Environmental Geochemistry and Health(IF=4.898, Q1), 42:(10) 3171–3184.
  • Shi, J., Cui, L., Tian, Z., 2020. Spatial and temporal distribution and trend in flood and drought disasters in East China. Environmental Research (IF= 431, Q1)185:381-391.
  • Huang, Y.Tian, Z., Ke, Q., Liu, J.*, Masoud, I., Fan, D*., Hou, M., Sun, L., 2020. Nature-Based Solutions for Urban Pluvial Flood Risk Management. Wiley Interdisciplinary Reviews Water(IF=7.428, Q1), 7(3): e1421.
  • Tian, Z., Xu, H., Sun, L.*, Fan, D.*, Fischer, G., Zhong, H., Zhang, P., Pope, E., Kent, C., Wu, W., 2020.Using a cross-scale simulation tool to assess future maize production under multiple climate change scenarios: An application to the Northeast Farming Region of China. Climate Service (IF=4.381, Q1), 18:100150.
  • Fan, D., Zhong, H., Hu, B., Tian, Z. *, Sun, L.*, Fischer, G., Wang, X., Jiang, Z., 2020. Agro-Ecological Suitability Assessment of Chinese Medicinal Yam under Future Climate Change. Environmental Geochemistry and Health (IF=4.898, Q1), 42:987–1000.
  • Chris, K.*, Edward, P., Nick, D., Adam, S.,Tian, Z., Robin, C., Zhang, L., Jemma, D., Kirsty, L., 2019. Maize drought hazard in the Northeast Farming Region of China: unprecedented events in the current climate. Journal of Applied Meteorology and Climatology (IF=3.557, Q2), 58(10): 2247-2258.
  • Hu, H.Tian, Z., Sun, L.*, Wen, J.*, Liang, Z., Dong, G., Liu, J., 2019. Synthesized trade-off analysis of flood control solutions under future deep uncertainty: An application to the central business district of Shanghai. Water Research (IF=13.4, Q1), 166: 115067.
  • Zhong, H., Sun, L.*, Fischer, G., Tian, Z., Liang, Z., 2019. Optimizing regional cropping systems with a dynamic adaptation strategy for water sustainable agriculture in the Hebei Plain. Agricultural Systems(IF=6.765, Q1), 173: 94-106.
  • Sun, L.Tian, Z., Zou, H.*, Shao, L., Sun, L.*, Dong, G., Fan, D., Huang, X., Frost, L., James, L., 2019. An Index-Based Assessment of Perceived Climate Risk and Vulnerability for the Urban Cluster in the Yangtze River Delta Region of China. Sustainability (IF=3.889, Q2), 11(7):2099.
  • Xu, H.Tian, Z., He, X., Wang, J.*, Sun, L.*, Fischer, G., Fan, D., Zhong, H., Wu, W., Edward, P., Chris, K., Liu, J., 2019. Future increases in irrigation water requirement challenge the water-food nexus in the northeast farming region of China. Agricultural Water Management (IF=6.611, Q1), 213: 594-604.
  • Tian, Z., Ji, Y., Sun, L.,Xu, X.*, Fan, D.*, Zhong, H., Liang, Z., Fischer, G., 2018. Changes in production potentials of rapeseed in the Yangtze River Basin of China under climate change: A multi-model ensemble approach. Journal of Geographical Sciences(IF= 4.012, Q2), 28(11): 1700-1714.
  • Shi, J.*, Cui, L., Wen, K., Tian, Z., Wei, P., Zhang, B., 2018. Trends in the consecutive days of temperature and precipitation extremes in China during 1961-2015. Environmental Research (IF= 8.431, Q1), 161: 381-391.
  • Zhong, H., Sun, L.*, Fischer, G., Tian, Z., Velthuizen, H., Liang, Z., 2018.  Mission Impossible? Maintaining regional grain production level and recovering local groundwater table by cropping system adaptation across the North China Plain. Agricultural Water Management(IF= 6.611, Q1), 193: 1-12.
  • Tian, Z., Niu, Y., Fan, D.*, Sun, L.*, Fischer, G., Zhong, H., Deng, J.,Tubiello, F. N., 2018. Maintaining Rice Production While Mitigating Methane and Nitrous Oxide Emissions from Paddy Fields in China: Evaluating Tradeoffs by Using Coupled Agricultural Systems Models. Agricultural Systems(IF=6.765, Q1), 159: 175-186.
  • Yang, X., Tian, Z.*, Sun,L.*, Chen, B., Tubiello, F. N., Xu, Y., 2017. The Impacts of Increased Heat Stress Events on Wheat Yield under Climate Change in China. Climatic Change(IF=5.174, Q1), 140(3-4): 605-620.
  • Fan, D., Ding, Q., Tian, Z*., Sun, L., Fischer, G., 2017. A Cross-scale Model Coupling Approach to Simulate the Risk-reduction Effect of Natural Adaptation on Soybean Production under Climate Change. Human and Ecological Risk Assessment(IF=4.997, Q1), 23(3): 426-440.
  • Liang, Z., Tian, Z*., Sun, L*., Feng, K., Zhong, H., Gu, T., Liu, X., 2016. Heat wave, electricity rationing, and trade-offs between environmental gains and economic losses: The example of Shanghai. Applied Energy(IF=11.446, Q1), 184: 951-959.
  • Liang, Z., Gu, T., Tian, Z.*, Zhong, H., 2015. Agro-climatic Adaptation of Cropping System under Climate Change in Shanghai. Frontiers of Earth Science(IF=2.273, Q3), 9(3): 487–496.
  • Tian, Z., Liang, Z.*, Sun, L.*, Zhong, H., Qiu, H., Fischer, G., Zhao, S., 2015. Agriculture under Climate Change in China: Mitigate the Risks by Grasping the Emerging Opportunities. Human and Ecological Risk Assessment(IF=4.997, Q1), 21(5): 1259–1276.
  • Tian, Z., Zhong, H.*, Sun, L., Fischer, G., Velthuizen, H., Liang, Z., 2014. Improving Performance of Agro-ecological Zone (AEZ) Modeling by Cross-scale Model Coupling: An Application to Japonica Rice Production in Northeast China, Ecological Modelling(IF=3.512, Q2), 290: 155–164.
  • Tian, Z., Yang, X.*, Sun, L., Fischer, G., Liang, Z., Pan, J., 2014. Agroclimatic Conditions in China under Climate Change Scenarios Projected from Regional Climate Models.International Journal of Climatology(IF=3.651, Q2), 34(9): 2988–3000.
  • Yang, X., Tian, Z., Chen, B., 2013. Thermal growing season trends in east China, with an emphasis on urbanization effect. International Journal of Climatology(IF=3.651, Q2), 33(10):2402-2412.
  • Tian, Z., Zhong, H., Shi, J., Sun, L., Fischer, G., Liang, Z., 2012. Estimating potential yield of wheat production in China based on cross-scale data-model fusion.Frontiers of Earth Science. (IF=2.273, Q3), 6(4): 364-372.
  • Tian, Z., Cao, G., Shi, J*., Ian, M., Cui, L., Fan, D., Li, X., 2012. Urban Transformation of a Metropolis and its Environmental Impacts: A Case Study in Shanghai. Environmental Science and Pollution Research(IF=5.19, Q2), 19(5): 1364–1374.
  • Zhao, H., Gao, G.*, Yan, X., Zhang, Q., Hou, M., Zhu, Y., Tian, Z., 2011. Risk Assessment of Agricultural Drought using the CERES-Wheat Model: a Case Study of Henan Plain, China. Climate Research(IF=1.459, Q4), 50(2-3): 247-256.

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  • Invitation of Applications for China Scholarship Council (CSC) Program for Doctoral Candidates

    2021-02-25

Lab members Read More

Join us

Invitation of Applications for China Scholarship Council (CSC) Program for Doctoral Candidates
The Karlsruhe Institute of Technology (KIT) with its Institute of Meteorology and Climate Research/Atmospheric Environmental Research (KIT/IMK-IFU) at Campus Alpin in GarmischPartenkirchen, Germany and The Southern University of Science and Technology (SUSTech) with its School of Environmental Science and Engineering in Shenzhen, China jointly invite doctoral candidates (Chinese) in the field of hydrometeorological modeling for applying scholarship from China Scholarship Council and for a duration of four years.
The doctoral candidate will participate in a transdisciplinary Sino-German research project entitled “Mitigating the Risk of compound extreme Flooding events: a trade-off analysis framework for coastal metropolises and its application (MitRiskFlood)”, which is jointly funded by the Ministry of Science and Technology of China (MOST) and the German Ministry of Education and Research (BMBF).
The overarching goal of the MitRiskFlood is to develop resilient adaptation measures to address future increasing flood risk under climate change and rapid socioeconomic development in two selected coastal megacities, i.e., Shenzhen and Shanghai for the purpose of effectively mitigating the potential devastating consequences of compound events. This comprises event-based urban-scale atmospheric modeling, quantitative risk and uncertainty assessment of compound floods, social-economic evaluation of different mitigation and adaptation strategies, and identification of a sustainable solution. The research is performed for two regions in Shenzhen and Shanghai and is realized in close cooperation with Chinese universities and local stakeholders.
Requirements
• Applicants fulfilling the requirements of CSC regarding scholarship applications (e.g., with Chinese nationality)                                                                                                                                                                                       • Above average university degree in natural-science (MSc), preferably in meteorology, hydrology, physical geography, as well as an excellent scientific record
• Demonstrated expertise in meteorological and/or hydrological modeling (preferablyWRF), alternatively (or additionally) in statistical downscaling
• Competent with FORTRAN and either Python or R; good knowledge of UNIX/Linuxincluding scripting; ability to work with high-performance computing systems
• Self-reliant and responsible working style, flexibility and the capacity of team work
• Pleasure and commitment to an international orientation of research (China)
• Good knowledge of spoken and written English
Applications
Applications (please only in English) including the usual attachments (CV, BSc, MSc and other certificates, motivation letter, publication list, etc.) should be submitted as a single pdf-file until 15 March 2022 to Dr. Patrick Laux (patrick.laux@kit.edu) and in copy to Prof. Harald Kunstmann (harald.kunstmann@kit.edu) and Prof. Zhan Tian (tianz@sustech.edu.cn)
Additional Information:
• The PhD candidate will jointly trained by KIT/IMK-IFU, University of Augsburg, and SUSTech and will get PhD degree from University of Augsburg after successful defense.
• The PhD candidate will conduct the research mostly at KIT/IMK-IFU Germany. Research stays at SUSTech China are possibly depending on planed research within the project.
• The living cost will be covered by applied scholarship from the China Scholar Counciland the research related cost will be covered by the project.                                                                                                                           • The introduction to the China Scholar Council program for doctoral candidates and the application guidelines is given by the link of
    https://www.campuschina.org/content/details3_74779.html
• The call for applications in Germany can be found by following http://www.demoe.org/article/read/12015-20210121-5296 and the call opens from 10th March 2022 until 31th March 2022, and the results will       be announced in May 2022.
• The introduction to the research group at KIT/IMK-IFU is given by the links of https://www.imk-ifu.kit.edu/english/climhydro.php
   https://www.uni-augsburg.de/en/fakultaet/fai/geo/prof/georkl/uber-uns/p-laux/
• The introduction to the research group at SUSTech is given by the link of https://faculty.sustech.edu.cn/tianz/
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Contact Us

Contact Address

No. 1088, Xueyuan Rd., Nanshan District, Shenzhen, Guangdong, China 518055

Office Phone

Email

tianz@sustech.edu.cn

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