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<p class="MsoNormal"><a href="http://water.columbia.edu/about-us/job-openings/">http://water.columbia.edu/about-us/job-openings/</a><o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<h3 style="background:white"><span style="font-family:"Open Sans";color:#016D91;font-weight:normal">Postdoctoral Researcher: Modeling and Analysis of Urban Systems Using Big Data Created By Human Activity in the Context of Disaster Risk Management<o:p></o:p></span></h3>
<p style="background:white;box-sizing: border-box;font-variant-ligatures: normal;font-variant-caps: normal;orphans: 2;text-align:start;widows: 2;-webkit-text-stroke-width: 0px;text-decoration-style: initial;text-decoration-color: initial;word-spacing:0px">
<span style="font-size:12.0pt;font-family:"Open Sans";color:#222222">Columbia University is looking for a postdoctoral researcher for a project aimed at the modeling and analysis of urban systems using big data created by human activity in the context of disaster
 risk management. This research fellowship is guaranteed for 1 year and renewable for a second year. At Columbia, we have a rich community of researchers investigating human-natural systems, and we believe the post-doc will find the community of scholars an
 inspiring one. The central research question is how to obtain and utilize big data on human mobility from smartphones, social media, and public transportation records as well as to associate human mobility with natural hazard data to make disaster planning
 data-driven. Other cities in the project are Tokyo and Taipei with teams from Japan and Taiwan as project partners.<o:p></o:p></span></p>
<p style="background:white;box-sizing: border-box;font-variant-ligatures: normal;font-variant-caps: normal;orphans: 2;text-align:start;widows: 2;-webkit-text-stroke-width: 0px;text-decoration-style: initial;text-decoration-color: initial;word-spacing:0px">
<strong><span style="font-size:12.0pt;font-family:"Open Sans";color:#222222">Project</span></strong><span style="font-size:12.0pt;font-family:"Open Sans";color:#222222"><o:p></o:p></span></p>
<p style="background:white;box-sizing: border-box;font-variant-ligatures: normal;font-variant-caps: normal;orphans: 2;text-align:start;widows: 2;-webkit-text-stroke-width: 0px;text-decoration-style: initial;text-decoration-color: initial;word-spacing:0px">
<span style="font-size:12.0pt;font-family:"Open Sans";color:#222222">This project aims to design a dynamic disaster response system accounting for complex disaster risks and multiple scenario models by harnessing large-scale data and conducting field surveys
 in and around major stations in metropolitan areas in Tokyo, New York, and Taipei. Traditionally, disaster planning has relied on limited scenarios regarding possible disaster scenarios. Notably, past planning efforts often do not distinguish between event
 time of day, workdays vs. weekends, seasons, or urban locations (e.g., indoor, outdoor, underground). Furthermore, traditional approaches have failed to capture the diverse needs of the affected social groups. The project will address dynamic disaster scenarios
 and the needs of vulnerable socioeconomic groups in urban areas. To do so, the project will integrate both scenario-based and data-driven planning while incorporating sensor data and stakeholder engagement. The project will take a mixed-methods approach while
 synthesizing data from various sources, such as from smartphones and in-depth interviews.<o:p></o:p></span></p>
<p style="background:white;box-sizing: border-box;font-variant-ligatures: normal;font-variant-caps: normal;orphans: 2;text-align:start;widows: 2;-webkit-text-stroke-width: 0px;text-decoration-style: initial;text-decoration-color: initial;word-spacing:0px">
<strong><span style="font-size:12.0pt;font-family:"Open Sans";color:#222222">Job description</span></strong><span style="font-size:12.0pt;font-family:"Open Sans";color:#222222"><o:p></o:p></span></p>
<ul type="square">
<li style="color:#222222;mso-list:l3 level1 lfo1;background:white;box-sizing: border-box">
<span style="font-size:12.0pt;font-family:"Open Sans"">Perform applied research on quantifying, modeling, and predicting human behavior within the urban environment, including mobility, social interactions, environmental hazards, etc. in collaboration with
 the multidisciplinary team, external research, and industrial partners.<o:p></o:p></span></li><li style="color:#222222;mso-list:l3 level1 lfo1;background:white;box-sizing: border-box">
<span style="font-size:12.0pt;font-family:"Open Sans"">Analyze big datasets created by human mobility and activity.<o:p></o:p></span></li><li style="color:#222222;mso-list:l3 level1 lfo1;background:white;box-sizing: border-box">
<span style="font-size:12.0pt;font-family:"Open Sans"">Participate in applied projects with stakeholders.<o:p></o:p></span></li><li style="color:#222222;mso-list:l3 level1 lfo1;background:white;box-sizing: border-box">
<span style="font-size:12.0pt;font-family:"Open Sans"">Actively contribute to the design and initiation of new research projects and ideas in the field of urban systems and disaster risk management.<o:p></o:p></span></li><li style="color:#222222;mso-list:l3 level1 lfo1;background:white;box-sizing: border-box">
<span style="font-size:12.0pt;font-family:"Open Sans"">Present research results at top conferences.<o:p></o:p></span></li><li style="color:#222222;mso-list:l3 level1 lfo1;background:white;box-sizing: border-box">
<span style="font-size:12.0pt;font-family:"Open Sans"">Co-author articles for publication in leading peer-reviewed journals and top conferences.<o:p></o:p></span></li></ul>
<p style="background:white;box-sizing: border-box;font-variant-ligatures: normal;font-variant-caps: normal;orphans: 2;text-align:start;widows: 2;-webkit-text-stroke-width: 0px;text-decoration-style: initial;text-decoration-color: initial;word-spacing:0px">
<strong><span style="font-size:12.0pt;font-family:"Open Sans";color:#222222">Requirements</span></strong><span style="font-size:12.0pt;font-family:"Open Sans";color:#222222"><o:p></o:p></span></p>
<p style="background:white;box-sizing: border-box;font-variant-ligatures: normal;font-variant-caps: normal;orphans: 2;text-align:start;widows: 2;-webkit-text-stroke-width: 0px;text-decoration-style: initial;text-decoration-color: initial;word-spacing:0px">
<span style="font-size:12.0pt;font-family:"Open Sans";color:#222222">The successful candidates must hold a Ph.D. (or nearing completion) in computer science, engineering, computational social science, or a related field. Candidates would have technical knowledge
 of human mobility as well as modeling and data analytic capabilities to analyze big data on human mobility. Candidates with modeling and data analytic backgrounds are also given particular attention. The ability to work with multidisciplinary and multicultural
 teams (urban planners, computer scientists, social scientists, and environmental engineers from Asian countries) and familiarity with existing data and urban infrastructure in the US settings is a plus.<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Open Sans"">Experience in handling large datasets with strong statistical analysis and modeling backgrounds is required<o:p></o:p></span></li><li style="color:#222222;mso-list:l1 level1 lfo2;background:white;box-sizing: border-box">
<span style="font-size:12.0pt;font-family:"Open Sans"">Candidates must present a strong publication record.<o:p></o:p></span></li><li style="color:#222222;mso-list:l1 level1 lfo2;background:white;box-sizing: border-box">
<span style="font-size:12.0pt;font-family:"Open Sans"">Practical skills in R, Python, or Matlab are expected. Other relevant technologies are a plus.<o:p></o:p></span></li><li style="color:#222222;mso-list:l1 level1 lfo2;background:white;box-sizing: border-box">
<span style="font-size:12.0pt;font-family:"Open Sans"">Experience in human mobility is a definite plus.<o:p></o:p></span></li><li style="color:#222222;mso-list:l1 level1 lfo2;background:white;box-sizing: border-box">
<span style="font-size:12.0pt;font-family:"Open Sans"">Experience in Machine learning or statistics is a plus.<o:p></o:p></span></li><li style="color:#222222;mso-list:l1 level1 lfo2;background:white;box-sizing: border-box">
<span style="font-size:12.0pt;font-family:"Open Sans"">Experience in working with stakeholders (e.g., planners, city officials, infrastructure officials) in the US context is a plus<o:p></o:p></span></li><li style="color:#222222;mso-list:l1 level1 lfo2;background:white;box-sizing: border-box">
<span style="font-size:12.0pt;font-family:"Open Sans"">Advanced verbal and written English skills are required.<o:p></o:p></span></li></ul>
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<strong><span style="font-size:12.0pt;font-family:"Open Sans";color:#222222">Application</span></strong><span style="font-size:12.0pt;font-family:"Open Sans";color:#222222"><o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Open Sans";color:#222222">To apply, please submit the following materials:<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Open Sans"">Resume or CV<o:p></o:p></span></li><li style="color:#222222;mso-list:l2 level1 lfo3;background:white;box-sizing: border-box">
<span style="font-size:12.0pt;font-family:"Open Sans"">Cover letter addressed to the Search Committee briefly describing your qualifications, professional goals, and specific interest in this position.<o:p></o:p></span></li><li style="color:#222222;mso-list:l2 level1 lfo3;background:white;box-sizing: border-box">
<span style="font-size:12.0pt;font-family:"Open Sans"">Contact information for 3 references.<o:p></o:p></span></li></ol>
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<span style="font-size:12.0pt;font-family:"Open Sans";color:#222222">Please submit your application to Dr. Masahiko Haraguchi (<a href="mailto:mh2905@columbia.edu"><span style="color:#01A6DE">mh2905@columbia.edu</span></a>). Position will start in October 2020
 pending release of funds from the National Science Foundation.<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Open Sans";color:#222222">For further informatio, please contact Dr. Masahiko Haraguchi (<a href="mailto:mh2905@columbia.edu"><span style="color:#01A6DE">mh2905@columbia.edu</span></a>) or Professor Upmanu Lall (<a href="mailto:ula2@columbia.edu"><span style="color:#01A6DE">ula2@columbia.edu</span></a>).<o:p></o:p></span></p>
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<span style="font-family:"Open Sans";color:#016D91;font-weight:normal">Postdoctoral Fellow Opportunity: Decentralized Water & Wastewater Treatment & Supply Networks<o:p></o:p></span></h3>
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<span style="font-size:12.0pt;font-family:"Open Sans";color:#222222">Columbia University is looking for a post doctoral researcher, for a 1 year, potentially extensible appointment, for research on the development and implementation of decentralized water and
 wastewater treatment networks. The central research question is the identification of existing or emerging technologies that could be applied at different scales ranging from household to clusters of houses or neighborhoods. The cost effectiveness, reliability,
 assurance of quality at point of use, and social acceptance at each scale is of interest. Sensors, remote monitoring, maintenance and control of the systems, and their deployment in different settings ranging from infill areas for urban renovation to low density
 rural settings is of interest. The successful candidate would have knowledge of the appropriate technologies as well as modeling capabilities to consider the design and evaluation of pilot systems. Ability to work with urban planners, architects and designers,
 and familiarity with existing regulations and the constraints they may pose in US settings is a plus.<o:p></o:p></span></p>
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<span style="font-size:12.0pt;font-family:"Open Sans"">All interested candidates should submit their CV and cover letter to<o:p></o:p></span></li></ul>
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<span style="font-size:12.0pt;font-family:"Open Sans";color:#222222"><a href="http://water.columbia.edu/about-us/job-openings/ula2@columbia.edu"><span style="color:#01A6DE">Upmanu Lall</span></a><o:p></o:p></span></p>
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