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西安交通大学人居环境与建筑工程学院导师教师师资介绍简介-军 Jun Chen 陈

本站小编 Free考研考试/2021-06-26

Welcome - 军 Jun Chen 陈基本信息

陈军(1982-):海洋遥感
西安交通大学教授、博导




Blank1
【1】海洋光学与水色遥感
【2】遥感软件设计与开发
【3】遥感与全球气候变化
【4】海岸带环境遥感
【5】遥感数据不确定性




荣誉称号
【1】海洋光学与水色遥感
【2】地图制图学与遥感
【3】计算机科学与技术
【4】软件工程或电子信息
【5】数学或物理学




Blank2
【9】2021.01-2023.12:海洋水色遥感,国家自然科学基金委优秀青年基金项目
【8】2021.01-2023.12:河口三角洲生态环境国产卫星遥感探测,重点研发国际合作项目子课题
【7】2021.01-2026.12:高原湖泊水色遥感探测机理研究,西安交通大学青年拔尖计划项目
【6】2018.06-2022.05:海洋卫星辐射定标与应用示范研究,重点研发项目子课题
【5】2018.01-2019.12:陕西省环境与农业信息遥感监测示范系统建设,陕西省重点研发项目
【4】2015.01-2017.12:厄尔尼诺事件对渤黄东海漫衰减系数影响研究,国家自然基金项目
【3】2017.01-2019.12:海水吸收系数遥感云应用技术研究,中央高校基本科研业务费专项
【2】2012.01-2015.12:油气田水体生物光学特性研究,中国地质调查局百名地质英才计划项目
【1】2012.12-2015.12:1:100万上海东幅海洋区域地质调查项目,国家海洋保障工程项目




教育经历
2001-2005 中国石油大学(华东) 本科
2006-2009 中国地质大学(北京) 硕士
2012-2015 中国地质大学(北京) 博士
2014-2015 麻省州立大学 (波士顿) 访学
2016-2018 国家海洋局第二研究所 博后




工作经历
2009-2011 青岛海洋地质研究所 研究实习员
2011-2015 青岛海洋地质研究所 助理研究员
2015-2016 青岛海洋地质研究所 副研究员
2018-2019西安市未央区人民政府 副区长(挂职)
2019-2020 西安交通大学图书馆 副馆长(挂职)
2019-2020 西安交通大学地环系 副主任
2016-今 西安交通大学 教授




联系方式
Email: chenjun@xjtu.edu.cn
Tel:




站点计数器




研究领域
【37】Jun Chen, Wenting Quan, Hongtao Duan, Qianguo Xing, and Na Xu. An improved inherent optical properties data processing system for residual error correction in turbid natural waters,IEEE Journal of Selected Applied Earth Observation and Remote Sensing. 2021.
【36】Jun Chen, Wenting Quan,Kexin Wang, Qijing Han, Jia Liu, Qianguo Xing, and Na Xu. Using triple collocation observations to estimate instrment comprehensive noise, IEEE Transactions on Geoscience and Remote Sensing. 2021. doi. 10.1109/TGRS. 2021.**.
【35】Jun Chen, Xianqiang He, Zhongli Liu,Nan Lin, Qianguo Xing, and Delu Pan. Sun glint correction with an inherent optical properties data processing system, International Journal of Remote Sensing. 2021. 42(2): 617-638.
【34】Jun Chen, Xianqiang He, Zhongli Liu, Na Xu, Lingling Ma, Qianguo Xing, Xiuqing Hu, and Delu Pan.An approach to cross-calibrating multi-mission satellite data for the open ocean, Remote Sensing of Environment. 2020. 246: 111895.
【33】Jun Chen,Xianqiang He,Xiaogang Xing,Qianguo Xing, Zhongli Liu, andDelu Pan.An inherent optical properties data processing system for achieving consistent ocean color products from different ocean color satellites,Journal of Geophysical Research-Ocean. 2019. DOI: 10.1029/2019JC015811.
【32】Jun Chen,Qijin Han, Yanlong Chen, and Yongdong Li. A Secchi depth algorithm considering the residual error in satellite remote sensing reflectance data, Remote Sensing. 2019,11(16), 1948.
【31】Jun Chen, Xiangguang Zhang, Xiaogang Xing, Joji Ishizaka, and Zhifeng Yu. A spectral selective attenuation mechanism-based Kpar algorithm for biomass heating effect simulation in the open ocean, Journal of Geophysical Research-Ocean. 2017. DOI: 10.1002/2017JC013101.
【30】Jun Chen, Xianqiang He, Bin Chen, Delu Pan. Deriving colored dissolved organic matter absorption coefficient from ocean color with a neural quasi-analytical algorithm, Journal of Geophysical Research-Ocean. 2017. DOI:10.1002/2017JC013115.
【29】Jun Chen, Zhongping Lee, Chuanmin Hu, Jianwei Wei. Improving satellite data products for open oceans with a scheme to correct the residual errors in remote sensing reflectance, Journal of Geophysical Research-Ocean. 2016, 121: 3866–3886.
【28】Jun Chen, Wenting Quan, Tingwei Cui, Qingjun Song, Changsong Lin. Remote sensing of absorption and scattering coefficient using neural network model: development, validation, and comparison, Remote Sensing of Environment. 2014: 149: 213-226.
【27】Jun Chen, Tingwei Cui, Junwu Tang, Qingjun Song. Remote sensing of diffuse attenuation coefficient using MODIS imagery of turbid coastal waters: a case study in Bohai Sea. Remote Sensing of Environment. 2014, 140: 78-93.
【26】Jun Chen, Tingwei Cui, Joji Ishizaka, Changsong Lin. A neural network model for remote sensing of diffuse attenuation coefficient in global oceanic waters, Remote Sensing of Environment. 2014: 148: 168-177.
【25】Jun Chen, Tingwei Cui, Wenting Quan. A neural network-based four-band model for estimating the total absorption coefficients from the global oceanic and coastal waters, Journal of Geophysical Research-Ocean. 2015. 120: 36-49.
【24】Jun Chen, Tingwei Cui, Changsong Lin. An operational model for filling the black strips of the MODIS 1640 band and application to atmospheric correction, Journal of Geophysical Research-Oceans. 2013, 118: 6006-6016.
【23】Jun Chen, Wenting Quan, Guoqing Yao, Tingwei Cui. Retrieval of absorption and backscattering coefficients from HJ-1A/CCD imagery in coastal waters, Optics Express. 2013. 21(5): 5803-5821.
【22】Jun Chen, Tingwei Cui, Changsong Lin. A three-band semi-analytical model for deriving total suspended sediment concentration from HJ-1A/CCD data in turbid coastal waters, ISPRS Journal of Photogrammetry and Remote Sensing. 93:1-13.
【21】Jun Chen, Tingwei Cui, Zhongfeng Qiu, Changsong Lin. A simple two-band semi-analytical model for retrieval of specific absorption coefficients in coastal waters, ISPRS Journal of Photogrammetry and Remote Sensing. 2014. 91: 85-97.
【20】Jun Chen, Tingwei Cui, Changsong Lin. An improved SWIR atmospheric correction model: a cross-calibration-based model, IEEE Transactions on Geoscience and Remote Sensing. 2013. 52(7): 3959-3967.
【19】Jun Chen, Eurico D'Sa, Tingwei Cui, Xunhua Zhang. A semi-analytical total suspended sediment retrieval model in turbid coastal waters: A case study in Changjiang River Estuary, Optics Express. 2013. 21(7): 9024-9042.
【18】Jun Chen, Xunhua Zhang, Wenting Quan. Retrieval chlorophyll-a concentration from coastal waters: three-band semi-analytical algorithms comparison and development, Optics Express. 2013. 21(11): 13018-13031.
【17】Jun Chen, Yuanli Zhu, Yongsheng Wu, Tingwei Cui, Joji Ishizaka, Yongtao Ju. A neural network model for Kd(λ) retrieval and application to global Kpar monitoring, Plos One. 2015. 10: DOI:10. 1371/journal.pone.**.
【16】Jun Chen, Tingwei Cui, Zhongfeng Qiu, Changsong Lin. A split-window model for deriving total suspended sediment matter from MODIS data in the Bohai Sea, IEEE Journal of Selected Topics on Geoscience and Remote Sensing. Sensing.
【15】Jun Chen, Minwei Zhang, Tingwei Cui, Zhenhe Wen. A review of some important problems in remote sensing of chlorophyll-a concentration in coastal waters, IEEE Journal of Selected Topics on Geoscience and Remote Sensing. 2013,6(5): 2275-2289.
【14】Jun Chen, Wenting Quan, Minwei Zhang, Tingwei Cui. A simple atmospheric correction algorithm for MODIS in shallow turbid waters: a case study in Taihu Lake, IEEE Journal of Selected Applied Earth Observation and Remote Sensing. 2013.6(4): 1825-1833.
【13】Jun Chen, Jun Fu, Jihong Sun. Using Landsat/TM imagery to estimating nitrogen and phosphorus concentration in Taihu Lake, China. IEEE Journal of Selected Applied Earth Observation and Remote Sensing. 2012, 5(1): 273-280.
【12】Jun Chen, Jun Fu, Jihong Sun. Theoretical Model for Estimating the Scaling Error of the Two-Band Ratio of Red to Near-Infrared in Inhomogeneous Pixels: Simulation Using a Moving 3×3 Window, IEEE Journal of Selected Applied Earth Observation and Remote Sensing. 2011, 4(4): 877 -881.
【11】Jun Chen, Jun Fu, Mingwei Zhang. An atmospheric correction algorithm for Landsat/TM imagery basing on inverse distance spatial interpolation algorithm: A case study in Taihu Lake, IEEE Journal of Selected Applied Earth Observation and Remote Sensing.2011, 4(4):882 – 889.
【10】Jun Chen, Baojun Wang, Xiaojun Gao. Scale correction of two-band ratio of red to near-infrared using imagery histogram approach: a case study on Indian remote sensing satellite in Yellow River Estuary, IEEE Journal of Selected Applied Earth Observation and Remote Sensing. 2012. 5(2): 663-668.
【9】Jun Chen, Kai Lu. Estimation on scale error of SSC retrieval model based on scale expansion method, IEEE Journal of Selected Applied Earth Observation and Remote Sensing. 2012. 5(1): 324-330.
【8】Jun Chen, Wenting Quan, Tingwei Cui, Qingjun Song. Estimation of total suspended matter concentration from MODIS data using a neural network model in the China eastern coastal zone, Estuarine, Coastal, and Shelf Science. 2015. 155: 104-113.
【7】Jun Chen, Jianli Liu. The spatial and temporal changes of chlorophyll-a and suspended matter in the eastern coastal zones of China during 1997-2013, Continental Shelf Research. 2015. 95: 89-98.
【6】Jun Chen, Qisheng Zhao. An approach for estimating MODIS reflectance at top-of-atmosphere at 667 and 678 nm from reflectance at 645 nm in turbid waters, Earth Environmental Sciences. 2014, 71(3): 1105-1114.
【5】Jun Chen, Wenting Quan, Zhenhe Wen, Tingwei Cui. A simple “clear water” atmospheric correction algorithm for Landsat-5 sensors, International Journal of Remote Sensing. 134: 3787-3802.
【4】Jun Chen, Wenting Quan, Zhenhe Wen. The use of MODIS 250 m bands to improve the MODIS 1km ocean color atmospheric correction algorithm in turbid water, Advance in Space Research. 2013, 51: 1750-1760.
【3】Jun Chen, Shoujing Yin, Rulin Xiao, Qianxiang Xu, Changsong Lin. Deriving remote sensing reflectance from turbid case II waters using green-shortwave infrared bands based model, Advance in Space Research. 2014.53(8): 1229-1238.
【2】Jun Chen, Wenting Quan, Zhenhe Wen, Tingwei Cui. An improved three-band semi-analytical algorithm in estimating chlorophyll-a concentration in high turbid Yellow River estuary, Earth Environment Science. 2013, 6: 2709-2719.
【1】Jun Chen, Wenting Quan. An improved algorithm for retrieving chlorophyll-a from Yellow River Estuary using MODIS Imagery, Environmental Monitoring and Assessment. 2013.185: 2243-2255.







Welcome - 军 Jun Chen 陈基本信息

陈军(1982-):海洋遥感
西安交通大学教授、博导




Blank1
【1】海洋光学与水色遥感
【2】遥感软件设计与开发
【3】遥感与全球气候变化
【4】海岸带环境遥感
【5】遥感数据不确定性




荣誉称号
【1】海洋光学与水色遥感
【2】地图制图学与遥感
【3】计算机科学与技术
【4】软件工程或电子信息
【5】数学或物理学




Blank2
【9】2021.01-2023.12:海洋水色遥感,国家自然科学基金委优秀青年基金项目
【8】2021.01-2023.12:河口三角洲生态环境国产卫星遥感探测,重点研发国际合作项目子课题
【7】2021.01-2026.12:高原湖泊水色遥感探测机理研究,西安交通大学青年拔尖计划项目
【6】2018.06-2022.05:海洋卫星辐射定标与应用示范研究,重点研发项目子课题
【5】2018.01-2019.12:陕西省环境与农业信息遥感监测示范系统建设,陕西省重点研发项目
【4】2015.01-2017.12:厄尔尼诺事件对渤黄东海漫衰减系数影响研究,国家自然基金项目
【3】2017.01-2019.12:海水吸收系数遥感云应用技术研究,中央高校基本科研业务费专项
【2】2012.01-2015.12:油气田水体生物光学特性研究,中国地质调查局百名地质英才计划项目
【1】2012.12-2015.12:1:100万上海东幅海洋区域地质调查项目,国家海洋保障工程项目




教育经历
2001-2005 中国石油大学(华东) 本科
2006-2009 中国地质大学(北京) 硕士
2012-2015 中国地质大学(北京) 博士
2014-2015 麻省州立大学 (波士顿) 访学
2016-2018 国家海洋局第二研究所 博后




工作经历
2009-2011 青岛海洋地质研究所 研究实习员
2011-2015 青岛海洋地质研究所 助理研究员
2015-2016 青岛海洋地质研究所 副研究员
2018-2019西安市未央区人民政府 副区长(挂职)
2019-2020 西安交通大学图书馆 副馆长(挂职)
2019-2020 西安交通大学地环系 副主任
2016-今 西安交通大学 教授




联系方式
Email: chenjun@xjtu.edu.cn
Tel:




站点计数器




研究领域
【37】Jun Chen, Wenting Quan, Hongtao Duan, Qianguo Xing, and Na Xu. An improved inherent optical properties data processing system for residual error correction in turbid natural waters,IEEE Journal of Selected Applied Earth Observation and Remote Sensing. 2021.
【36】Jun Chen, Wenting Quan,Kexin Wang, Qijing Han, Jia Liu, Qianguo Xing, and Na Xu. Using triple collocation observations to estimate instrment comprehensive noise, IEEE Transactions on Geoscience and Remote Sensing. 2021. doi. 10.1109/TGRS. 2021.**.
【35】Jun Chen, Xianqiang He, Zhongli Liu,Nan Lin, Qianguo Xing, and Delu Pan. Sun glint correction with an inherent optical properties data processing system, International Journal of Remote Sensing. 2021. 42(2): 617-638.
【34】Jun Chen, Xianqiang He, Zhongli Liu, Na Xu, Lingling Ma, Qianguo Xing, Xiuqing Hu, and Delu Pan.An approach to cross-calibrating multi-mission satellite data for the open ocean, Remote Sensing of Environment. 2020. 246: 111895.
【33】Jun Chen,Xianqiang He,Xiaogang Xing,Qianguo Xing, Zhongli Liu, andDelu Pan.An inherent optical properties data processing system for achieving consistent ocean color products from different ocean color satellites,Journal of Geophysical Research-Ocean. 2019. DOI: 10.1029/2019JC015811.
【32】Jun Chen,Qijin Han, Yanlong Chen, and Yongdong Li. A Secchi depth algorithm considering the residual error in satellite remote sensing reflectance data, Remote Sensing. 2019,11(16), 1948.
【31】Jun Chen, Xiangguang Zhang, Xiaogang Xing, Joji Ishizaka, and Zhifeng Yu. A spectral selective attenuation mechanism-based Kpar algorithm for biomass heating effect simulation in the open ocean, Journal of Geophysical Research-Ocean. 2017. DOI: 10.1002/2017JC013101.
【30】Jun Chen, Xianqiang He, Bin Chen, Delu Pan. Deriving colored dissolved organic matter absorption coefficient from ocean color with a neural quasi-analytical algorithm, Journal of Geophysical Research-Ocean. 2017. DOI:10.1002/2017JC013115.
【29】Jun Chen, Zhongping Lee, Chuanmin Hu, Jianwei Wei. Improving satellite data products for open oceans with a scheme to correct the residual errors in remote sensing reflectance, Journal of Geophysical Research-Ocean. 2016, 121: 3866–3886.
【28】Jun Chen, Wenting Quan, Tingwei Cui, Qingjun Song, Changsong Lin. Remote sensing of absorption and scattering coefficient using neural network model: development, validation, and comparison, Remote Sensing of Environment. 2014: 149: 213-226.
【27】Jun Chen, Tingwei Cui, Junwu Tang, Qingjun Song. Remote sensing of diffuse attenuation coefficient using MODIS imagery of turbid coastal waters: a case study in Bohai Sea. Remote Sensing of Environment. 2014, 140: 78-93.
【26】Jun Chen, Tingwei Cui, Joji Ishizaka, Changsong Lin. A neural network model for remote sensing of diffuse attenuation coefficient in global oceanic waters, Remote Sensing of Environment. 2014: 148: 168-177.
【25】Jun Chen, Tingwei Cui, Wenting Quan. A neural network-based four-band model for estimating the total absorption coefficients from the global oceanic and coastal waters, Journal of Geophysical Research-Ocean. 2015. 120: 36-49.
【24】Jun Chen, Tingwei Cui, Changsong Lin. An operational model for filling the black strips of the MODIS 1640 band and application to atmospheric correction, Journal of Geophysical Research-Oceans. 2013, 118: 6006-6016.
【23】Jun Chen, Wenting Quan, Guoqing Yao, Tingwei Cui. Retrieval of absorption and backscattering coefficients from HJ-1A/CCD imagery in coastal waters, Optics Express. 2013. 21(5): 5803-5821.
【22】Jun Chen, Tingwei Cui, Changsong Lin. A three-band semi-analytical model for deriving total suspended sediment concentration from HJ-1A/CCD data in turbid coastal waters, ISPRS Journal of Photogrammetry and Remote Sensing. 93:1-13.
【21】Jun Chen, Tingwei Cui, Zhongfeng Qiu, Changsong Lin. A simple two-band semi-analytical model for retrieval of specific absorption coefficients in coastal waters, ISPRS Journal of Photogrammetry and Remote Sensing. 2014. 91: 85-97.
【20】Jun Chen, Tingwei Cui, Changsong Lin. An improved SWIR atmospheric correction model: a cross-calibration-based model, IEEE Transactions on Geoscience and Remote Sensing. 2013. 52(7): 3959-3967.
【19】Jun Chen, Eurico D'Sa, Tingwei Cui, Xunhua Zhang. A semi-analytical total suspended sediment retrieval model in turbid coastal waters: A case study in Changjiang River Estuary, Optics Express. 2013. 21(7): 9024-9042.
【18】Jun Chen, Xunhua Zhang, Wenting Quan. Retrieval chlorophyll-a concentration from coastal waters: three-band semi-analytical algorithms comparison and development, Optics Express. 2013. 21(11): 13018-13031.
【17】Jun Chen, Yuanli Zhu, Yongsheng Wu, Tingwei Cui, Joji Ishizaka, Yongtao Ju. A neural network model for Kd(λ) retrieval and application to global Kpar monitoring, Plos One. 2015. 10: DOI:10. 1371/journal.pone.**.
【16】Jun Chen, Tingwei Cui, Zhongfeng Qiu, Changsong Lin. A split-window model for deriving total suspended sediment matter from MODIS data in the Bohai Sea, IEEE Journal of Selected Topics on Geoscience and Remote Sensing. Sensing.
【15】Jun Chen, Minwei Zhang, Tingwei Cui, Zhenhe Wen. A review of some important problems in remote sensing of chlorophyll-a concentration in coastal waters, IEEE Journal of Selected Topics on Geoscience and Remote Sensing. 2013,6(5): 2275-2289.
【14】Jun Chen, Wenting Quan, Minwei Zhang, Tingwei Cui. A simple atmospheric correction algorithm for MODIS in shallow turbid waters: a case study in Taihu Lake, IEEE Journal of Selected Applied Earth Observation and Remote Sensing. 2013.6(4): 1825-1833.
【13】Jun Chen, Jun Fu, Jihong Sun. Using Landsat/TM imagery to estimating nitrogen and phosphorus concentration in Taihu Lake, China. IEEE Journal of Selected Applied Earth Observation and Remote Sensing. 2012, 5(1): 273-280.
【12】Jun Chen, Jun Fu, Jihong Sun. Theoretical Model for Estimating the Scaling Error of the Two-Band Ratio of Red to Near-Infrared in Inhomogeneous Pixels: Simulation Using a Moving 3×3 Window, IEEE Journal of Selected Applied Earth Observation and Remote Sensing. 2011, 4(4): 877 -881.
【11】Jun Chen, Jun Fu, Mingwei Zhang. An atmospheric correction algorithm for Landsat/TM imagery basing on inverse distance spatial interpolation algorithm: A case study in Taihu Lake, IEEE Journal of Selected Applied Earth Observation and Remote Sensing.2011, 4(4):882 – 889.
【10】Jun Chen, Baojun Wang, Xiaojun Gao. Scale correction of two-band ratio of red to near-infrared using imagery histogram approach: a case study on Indian remote sensing satellite in Yellow River Estuary, IEEE Journal of Selected Applied Earth Observation and Remote Sensing. 2012. 5(2): 663-668.
【9】Jun Chen, Kai Lu. Estimation on scale error of SSC retrieval model based on scale expansion method, IEEE Journal of Selected Applied Earth Observation and Remote Sensing. 2012. 5(1): 324-330.
【8】Jun Chen, Wenting Quan, Tingwei Cui, Qingjun Song. Estimation of total suspended matter concentration from MODIS data using a neural network model in the China eastern coastal zone, Estuarine, Coastal, and Shelf Science. 2015. 155: 104-113.
【7】Jun Chen, Jianli Liu. The spatial and temporal changes of chlorophyll-a and suspended matter in the eastern coastal zones of China during 1997-2013, Continental Shelf Research. 2015. 95: 89-98.
【6】Jun Chen, Qisheng Zhao. An approach for estimating MODIS reflectance at top-of-atmosphere at 667 and 678 nm from reflectance at 645 nm in turbid waters, Earth Environmental Sciences. 2014, 71(3): 1105-1114.
【5】Jun Chen, Wenting Quan, Zhenhe Wen, Tingwei Cui. A simple “clear water” atmospheric correction algorithm for Landsat-5 sensors, International Journal of Remote Sensing. 134: 3787-3802.
【4】Jun Chen, Wenting Quan, Zhenhe Wen. The use of MODIS 250 m bands to improve the MODIS 1km ocean color atmospheric correction algorithm in turbid water, Advance in Space Research. 2013, 51: 1750-1760.
【3】Jun Chen, Shoujing Yin, Rulin Xiao, Qianxiang Xu, Changsong Lin. Deriving remote sensing reflectance from turbid case II waters using green-shortwave infrared bands based model, Advance in Space Research. 2014.53(8): 1229-1238.
【2】Jun Chen, Wenting Quan, Zhenhe Wen, Tingwei Cui. An improved three-band semi-analytical algorithm in estimating chlorophyll-a concentration in high turbid Yellow River estuary, Earth Environment Science. 2013, 6: 2709-2719.
【1】Jun Chen, Wenting Quan. An improved algorithm for retrieving chlorophyll-a from Yellow River Estuary using MODIS Imagery, Environmental Monitoring and Assessment. 2013.185: 2243-2255.







科研项目 - 军 Jun Chen 陈



青年遥感人才招聘 - 军 Jun Chen 陈Blank9

陈军(1982-):海洋遥感
西安交通大学教授、博导
中国地质调查局百名地质英才
中国地质调查局十大****
第五次全国李四光优秀学生奖





Blank4

东部的薪资,西部的房价。西安交通大学地球环境科学系成立2006年,拥有两院院士2人。孙九林院士为西安交通大学遥感与空间信息实验室的学科带头人、拥有教授4名、副教授2人,承担过国家自然基金优秀青年项目、国家重点研发国际合作项目、国家重点研发项目、国家海洋保障工程项目等。按照学科发展与人才战略规划总体部署,实验室现面向国内外拟招聘博士后、副教授若干名,主要从事海洋光学遥感机理与应用、遥感大数据分析与应用、水文气象遥感与全球气候变化、遥感地学系统开发与集成等。课题组热忱欢迎水色遥感、大气辐射、计算机科学、电子信息工程、数学、地理学、测绘科学与技术等跨专业博士科研人员申请。
一、申请条件1、热爱科研工作,有较强敬业精神、创新意识和团队协作精神。
2、品学兼优、身心健康、年龄35周岁以下(获得博士学位不超过3年或博士论文已答辩即将获得博士学位)。
3、具备独立从事科研工作的能力、较强的文献阅读和写作能力、以及较高的英文水平,在相关学科领域取得明显业绩,欢迎跨学科博士研究人员申请。
3、研究方向:水色遥感、大气辐射、计算机科学、电子信息工程、数学、地理学、测绘科学与技术等。
二、岗位要求与待遇岗位设置:博士后、副教授;年薪:20-30万。
其它收入:学院绩效分配+科研及社会服务收入
岗位对应详细薪酬见:http://hr.xjtu.edu.cn/info/1018/6779.htm
三、联系方式地址:陕西省咸阳市秦都区西安交通大学创新港校区C区,邮编:710000
合作导师:陈军 教授 (http://gr.xjtu.edu.cn/web/chenjun)
联系电话:
简历投递Email:chenjun@xjtu.edu.cn








Recruits for Ocean Color Remote Sensing - 军 Jun Chen 陈Blank
Xi’an Jiaotong University Recruits Outstanding Talents in Ocean Color Remote Sensing From All Over The World
School Introduction:
Xi’an Jiaotong University (XJTU), as one of the first universities entering China's "211 Project" and “985 Project”, is selected to be developed into a global first-class university. XJTU is a comprehensive research university with scientific focus. It is composed of 10 branches of disciplines, namely: science, engineering, medicine, economics, management, literature, law, philosophy, education and art. In recent years, XJTU focuses on national strategy, vigorously promoting the establishment of the Western China Science & Technology Innovation Harbour, which is designed to be an innovative unit with a union of “campus, industrial zone and community”, a combination of technologies and services, and a linking center of science, technology and industry. Now, XJTU is on the List of World-class Universities and First-class Disciplines (abbreviated as “Double First-class”) released in 2017 by Ministry of Education of China. As a Double First-class university in Category A, XJTU has eight disciplines selected into the first-class level in the world.
Xi'an Jiaotong University has more than 400 national talents, including academicians. At present, there are 28 national scientific research bases and 132 provincial and ministerial key scientific research bases. The number of key scientific research bases ranks among the forefront of colleges and universities in the country. Since 2000, XJTU has presided over 21 projects of the "973 Program", and 5843 projects have been approved by the National Natural Science Foundation of China. The number and funding of basic research projects are in the forefront of colleges and universities in the country. XJTU has obtained 68 national science and technology awards as the first completion unit.
The Western China Science &Technology Innovation Harbour aims to “contribute to national missions, establish a world science and education highland, serve to the development of Shaanxi Province, innovate drive platforms and provide a demonstration of being a wisdom uni-town”. Here we can actively explore new models, new forms and new experiences of the integration of modern universities and social development in the twenty-first Century.
Innovation Harbour has been put into use in September 2019. It will gather no less than 30,000 scientific and technological innovation talents and attract no less than 500 international renowned enterprises to set up "campus, industrial zone, community" the model of three in one of "intelligent learning town". Innovation Harbour will create a new type of international world-class talent development system, forming a talent highland in western China.
Recruitment announcement:
In order to further promote the discipline development of Xi'an Jiaotong University, strengthen the construction of the contingent of teachers, and supplement a number of academic backbones and academic leaders with innovative ability and potential for development. Xi'an Jiaotong University decided to recruit teachers both domestic and overseas with new measures and preferential treatment. We sincerely welcome outstanding talents from all over the world to seize the opportunity and choose Xi'an Jiaotong University as the development platform to fully show their value and elegant demeanor on the stage of life. The recruitment positions and benefits are announced as follows. Excellent scholars who are interested in teaching and scientific research are very welcome to apply.
ⅠRecruitment position and salary
1.Leading Scholars Programme:
?National level excellent talents;
?Physically and mentally healthy;
?Professors or equivalent positions in famous international university/ research institution;
?Or the applicant has undertaken national scientific and technological tasks, produced important academic achievements and significant outstanding contributions.
Basic Annual Salary
Other income

Leading Scholars Programme
600,000-800,000 RMB / year
School performance distribution + scientific research and social service income

Working conditions & Living accommodations
A.Supporting funds for scientific research: provided according to needs

B.350,000 RMB (after tax) for a one-time settlement fee

C.Providing a flat from XJTU for rent or purchase

D.Providing high quality educational opportunities for children in the local area



2.Top Young Talents Programme:
?The applicant should hold a PhD degree and be under the age of 40 (including 40);
?Physically and mentally healthy;
?The Applicant should have achieved outstanding academic accomplishments and have the potential to be leaders in their research fields.
In this plan, there are two kinds of posts: "professor" and "special appointed researcher".
Basic Annual Salary
Other income

Professor
450,000 RMB / year
School performance distribution + scientific research and social service income

Special appointed researcher
300,000 RMB / year

Working conditions &
Living accommodations
A.Supporting funds for scientific research: more than 2,000,000 RMB in Natural
Sciences and more than 500,000 RMB in Humanities and Social Sciences

B.350,000 RMB (after tax) for one-time settlement fee

C.Providing a flat from XJTU for rent or purchase

D.Providing high quality educational opportunities for children in the local area

It is specially stated that those who are selected or enter the interview session of the national "Youth Thousand talents Plan", "Outstanding Youth Science Fund", "Young Yangtze River Scholars", "Top Young talents of Ten Thousand talents Plan" can be directly selected into the program "professor" position. Those who are excellent in some disciplines can also receive special subsidy for 250,000 RMB / year. Special circumstances can be discussed in person.
3.Program for Supporting Young and Excellent Talents:
?The applicant should hold a PhD degree and should be under the age of 32 (including 32);
?Physically and mentally healthy;
?The applicant has made remarkable achievements in related fields and has shown good potential for academic development in publishing papers, hosting (participating in) scientific research projects or carrying out the transformation of scientific and technological achievements;
?The research interest focuses on the frontiers of science and technology, national needs and economic development.
Basic Annual Salary
Other income

Category A
300,000 RMB / year
School performance distribution + scientific research and social service income

Category B&C
160,000-200,000 RMB / year

Working conditions & Living accommodations
1) The person can apply for the basic scientific research service fee of the central university.
After the position is promoted or selected into the "Leading Scholars Programme" or "Top Young
talents Programme", scientific Research Fund is available to apply. When promoted
a higher position, the research start-up fund and settlement fee will be provided
in accordance with the position

2) Providing an apartment from XJTU for rent or rent subsidy 1,500 RMB/Month

3) Providing social insurance and housing provident fund in accordance with relevant regulations

4) Providing high quality educational opportunities for children in the local area

It should be noted that those who are selected in the national "Postdoctoral Innovative Talents Support Program" and "Postdoctoral International Exchange Program (Talent-Introduction Program)" are directly included in Category A to manage.
The Office of China Postdoc Council,and our university jointly set up the "Western China Overseas Postdoctoral Innovation Demonstration Center" introduction project to fund excellent foreign and overseas doctors to engage in postdoctoral research, with a salary of 200,000 RMB/ year.
4.Backbone teacher
Professor:
üThe applicant should hold a PhD degree and have high academic attainments, generallydo not exceed the age of45 years old;
üPhysically and mentally healthy.
Basic Annual Salary
Other income

Professor
280,000-360,000 RMB / year
School performance distribution + scientific research and social service income

Working conditions & Living accommodations
1)Supporting funds for scientific research: 300,000 RMB in Natural Sciences
and 120,000 RMB in Humanities and Social Sciences

2)70,000-120,000 RMB for settlement fee

3)Providing an apartment from XJTU for rent or rent subsidy 1,000 RMB/Month

4)Providing social insurance and housing provident fund in accordance with relevant regulations

5)Providing high quality educational opportunities for children in the local area

Associate Professor
üApplicants should hold a PhD degree and have at least 2 years’ work experience. Generally,do not exceed the age of35 years old, do not exceed the age of 40 years old in Humanities and Social Sciences;
üPhysically and mentally healthy;
üApplicants should have 12 months or more of overseas studying and working experience;
üApplicants should have outstanding achievements in relevant academic fields.
Basic Annual Salary
Other income

Associate Professor
220,000-280,000 RMB / year
School performance distribution + scientific
research and social service income

Working conditions & Living accommodations
1)Supporting funds for scientific research: 150,000 RMB in Natural Sciences
and 60,000 RMB in Humanities and Social Sciences

2)60,000 RMB for settlement fee

3)Providing an apartment from XJTU for rent or rent subsidy 2,000 RMB/Month

4)Providing social insurance and housing provident fund in accordance with relevant
regulations

5)Providing high quality educational opportunities for children in the local area

What needs to be noted in particular is that associate professors implement a system of Tenure-Track. The permitted employment period is 3 years, and those who are excellent in the assessment of the employment period will be transferred to long-term employment; those who fail to achieve excellence in the assessment of the employment period shall be terminated.
Ⅱ Contact information
Add: No. 28 Xianning West Road, Xi’an, Shaanxi, 710049, P.R. China
Contact Person: Prof. Jun Chen
Email for CV: chenjun@xjtu.edu.cn







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