At CityDNA, we foster a work culture that encourages equality, harmony, free expression and collaboration. Each and every of our employee is valued and respected for his/her unique talent and trait. Different forms of learning atmosphere and room for improvement are available for you to learn more in the work process, the exchanges with colleagues, and the inspiring project practice sharing, while having access to various exchanges, sharing, and training sessions.
Join us, a young, free and passionate team!
Interns are required to work for no less than 2 months. Full-time internship is preferred.
Please send your resume and cover letter to hr@citydnatech.com (CV in PDF format)
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Jiang Yang has urban planning PH.D. degree from Tsinghua University. He also has city planning and transportation science Master Degree from MIT, and architecture Bachelor degree from Tsinghua. He is also the chairman of the Low Carbon Green Transportation Technical Committee of the World Transportation Congress, member of the Eco-city Professional Committee of the China Urban Science Research Association, and national registered urban planner. Jiang Yang has more than 10 years working experiences in urban planning and transportation, he has been working with leading national and international teams such as CAUPD, MIT design, WB and ADB on urban planning issues. He has already published more than 30 papers in international SCI journals domestic core journals.
Master of Urban Planning from Columbia University, Bachelor of Economic Geography from Sun Yat-Sen University. His recent major research areas include community planning and public participation information systems, urban planning evaluation information systems, urban geospatial big data mining and algorithm development, and urban geospatial data analysis and visualization based on mobile and new media.
Dong Nan has both Bachelor and Master Degree of Environmental Science from Tsinghua University. He has more than ten years of experiences on low carbon and sustainable development, specifically in urban strategic planning, environmental planning, and low carbon development planning. He led and participated several important projects during his work with Guangdong Urban Planning Institutes and won the provincial award. During his work with carbon market companies, he helped the company develop the first national investment fund on carbon market, and successfully make the carbon investment fund profit.
Master of information technology, Graduated from Shandong University of technology, Bachelor degree of PLA Command College, Demobilized Navy radar Lieutenant. Microsoft, Cisco Certified Network, database and security engineer. He has been engaged in big data, information technology and market work in smart city, public security inspection and law department and low carbon environment field for more than 15 years.
Hao Cheng has long been engaged in business and project management in the low carbon industry, with excellent reputation and business performance. He graduated from the School of Energy and Power, North China Electric Power University. He has participated in the application of big data technology in the energy field and has extensive industry experience in dealing with climate change and corporate carbon management and carbon trading.
Graduated from Wuhan University of Technology majoring in Urban and Rural Planning, He has years of experience working in onel of the world's top 500 companies, with excellent performance. Also made great contributions to the business and channel development. He has participated in dozens of urban development projects which resulted in a rich resource accumulation.
Master of Science in urban planning from Columbia University, Bachelor of Management from Renmin University of China. Leads Pinstreet Program, the first new media based public participation platform in China. Dominates the street score and low-carbon urbanization model, and identification of urban built-up environment indicators with deep learning. Concentrated in geospatial data analysis and visualization, urban big data mining, and machine learning.
Master of Urban Planning from the University of Washington, GIS from Wuhan University. Her main work areas are geographic data spatial analysis and modeling, big data analysis, and data visualization. She has participated in the “Green Transportation Development Strategy Research in Tianjin Central City” commissioned by the World Bank, Jinan Bus Data Analysis and Visualization, and Shenzhen Pollution Source Survey Big Data Screening Project.
M.Sc. Transportation System from Technical University of Munich, B.Eng. Traffic Engineering from Beijing Jiaotong University. Sufficient experience on Python in fields of data cleaning, data scraping and back-front-end skills in constructing websites. Successfully bid for urban traffic visualization project from ADAC. Mainly focusing on data analysis, data visualization and junior reinforcement learning algorithm applications.
Obtaining master degree of Digital Design and Interactive Design with Environment from the University of Sheffield in UK, and a bachelor degree in landscape architecture from Harbin Institute of Technology. Having participated in the landscape planning of Qitaihe City and the planning of commercial underground space, the microclimate research program of the university of Sheffield, the parametric design of buildings program and the automatic modeling program of Pingshan in Shenzhen.
Master of Geographic Information Systems, Fleming College, Canada, BS in Geographic Information Science, Tianjin Chengjian University. Focus on geographic information visualization and geographic data analysis. She has participated in the web-side data visualization of Jinan City Road Network Diagnosis and Planning Decision Support System, Xi'an University City, Tianjin Sanchakou and other projects.
Qi Yang holds BS in GIS from Beijing University of Civil Engineering and Architecture, and MA in Geography from George Washington University. After graduation, he gained several industrial experience from The World Bank Group, Arlington County Government in Virginia, University of Maryland. He led and finished several GIS data related projects including the data collection, complilation, analysis of Arlington County Parking Meter Survey, north polar wildfire progression simulation, Africa crop yield estimation using remote sensing images and DC house transactions.
Bachelor of Urban Management from the Central University of Finance and Economics. Familiar with Python and Arcpy-based Arcgis secondary development. Mainly engaged in geospatial data collection and analysis, geographic information visualization and machine learning, etc. He has participated in the design of smart city guidelines, Baitasi Remade Plan and other projects.
Hanyong received the Master of Urban Spatial Analytics at the University of Pennsylvania and Honors Bachelor of Arts from the University of Toronto with a double major in architectural design and economics. She is mainly focused on leveraging urban, geospatial, and architectural data to conduct machine learning model predictions and data visualizations. She has participated in projects such as the Austin Transit Ridership Prediction and Web APP Development, New York Food Desert Prediction, and Argentina Satellite Image Slum Classification with Deep Learning.
Shandong University of Science and Technology, majoring in computer network technology. With over eight years' experience in internet operations, she is good at exploring the commercial nature of the internet industry, operation modes of internet users, "Zero to One" brand and product operation strategy, in realms including music, film and television, O2O, social networking, e-commerce, finance, SaaS, cloud computing, etc.
Master of Media Industries from University of Leeds. She is the writer of having ten thousand follows in the Wechat Official Accounts, and she also had played the hot topic of Weibo many times. she had participated in the activity that the building of a new media matrix from “zero to one” many times. She understands the operation rules of new media matrix. She has lots of experience for the spread of Internet products, the building of brand, media public relations and establishing the external image of the enterprise.
Master of Surveying and Mapping Engineering, Bachelor of Geographic Information System from Wuhan University. With rich experience in web front-end development and GIS development.Familiar with software system development process and experience in requirements analysis and system design. She has participated in projects related to smart cities and judicial informationization.
Engaged in web front and back end development related work, participated in tourism system, Foxconn and global supply chain system related research and development work. And have rich experience in cloud product development, and familiar with crawler, data processing and other work.Representative projects:GSCM, EPO, CPM, etc.
Master of Urban Spatial Analytics from the University of Pennsylvania, B.Eng. Traffic Engineering from Southeast University. Mainly engaged in the realization of data-driven urban planning and transportation. Participated in the projects such as Baltimore fleet optimization and its website application, Machine learning-based Los Angeles housing price prediction and its visualization webpage, and the research project of Nanjing rail transit and bike-sharing connections based on smart-card and bike-sharing rental data.
Bachelor of Applied Mathematics, Beijing University of Technology, engaged in cloud computing, big data related project development for many years, contributed code to OpenStack cloud computing open source community, familiar with frontend and backend development, participated in Microsoft incubation cloud computing project, developed support from 0 to 1 JD Digits big data cluster management platform with thousands of nodes.
Experienced web back-end developer and capable of deep mining of project demands. With rich experience in B2C and B2B cloud-service product development as well as data mining techniques, he participated in the R&D of Indonesia's largest online payment platform Faspay and India's KrazyBee. Representative work includes Faspay, loanSaas and Fasloan, and currently working on the Pinstreet Program. With rigorous work style and sunny personality.
Master degree of computer sicence from Arizona State University, engaged in full stack developing, experienced in crawler and big data developing. When I was a master student, ,I involved in designing computer vision and machine learning algorithms in APG lab. Aim at algorithm deployment, providing services in daily life.
GIS major from North China University of Technology, with rich experience in GIS-based geospatial data processing and visualization. She has participated in the analysis and visualization of environmental protection and pipe network data, development of Web GIS platforms and pipeline simulation system.
As a Master of Human-Computer Interaction of University of St Andrews and Bachelor of Tianjin University, he is skillful in development with native JavaScripte and React. He also has plenty of experience in data visualization in the web front-end environment, such as the visualization of the trend of TED topics in the last 20 years, in which he played the role of the primary developer. When he was an undergraduate student, he was involved in the development of the third version of the Tianjin City Auditing Team Case Online Management System.
Master degree in Information System Architecture from the National Institution of Applied Science of Rouen, France. Professional working proficiency in English, French, and Chinese. Familiar with Angular and Vue frameworks in web development. Having developed independent WeChat applets and used Python to crawl and process data. Also, keen on urban planning and public transportation research, and published relevant videos on many video websites.
Master of Graphic Media Design, University of the Arts London, Bachelor of Visual Communication Design from Xiamen University. She is mainly engaged in visual design, and has been a part of design and development projects for many brands, with deep understanding of brand image building. Specializing in speculative design, multi-media visual forms and exploration of interactive design.
Yanlin Qi holds her MSc in GIS from Peking University and BEng in Remote Sensing from Wuhan University. Her major work falls in areas of spatiotemporal data mining and urban computing, taking PM2.5 prediction as an application. She has led and finished several projects that focused on involving deep learning methods and heterogeneous data for real-time spatiotemporal forecasting of urban PM2.5
Major in computer Science and Technology, Xi'an University of Architecture and Technology. Engaged in DevOps operation and maintenance development, have the foundation of big data operation and maintenance, familiar with docker engine, master common database maintenance work, rich ITIL operation and maintenance experience, a rigorous and meticulous way of working, good at communication and cooperation.
Master of Interaction Design from Monash University, Bachelor of Product Design from Guangxi Normal University. She has extensive experience in interaction design and product design projects. Yuxuan has her own unique insights and ideas on user experience design. In teamwork, Yuxuan always enthusiastic and good at communicating with other team members.
I am a designer with over seven years digital graphic design experience. My work experience covers designs for digital and print media, including websites, online banners,mobile applications, flyers, Amazon product demonstration pages, video editing, and promotion landing pages,mini-sites. I have solid understanding of marketing principles, best user experience practice, web accessibility principles, and advertising techniques. Great attention to detail and a talent for creating memorable visual designs.Enthusiastic team player who is committed to delivering top results on time. Passion for keeping work performancesatisfied with each project. Any chance to join the team would be very much appreciated! I am looking forward to contribute and learn from the team.