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In addition to the positions shown here, be sure to check out the MIT Jobs page for more listings. MIT is an Equal Opportunity / Affirmative Action Employer.
Tenured and Tenure-Track Faculty Positions in Urban Science and Planning
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Description: Over the past decade the Department of Urban Studies and Planning (DUSP) and the Department of Electrical Engineering and Computer Science (EECS) at MIT have developed a strong research and teaching agenda focused on understanding the role of information technologies, data, sensors and networks in the planning and development of urban environments. We have also developed new technologies and tools to model, envision, and communicate information about the city. We have recently established a new joint undergraduate major in urban and computer science of which these positions would be central. (see: http://news.mit.edu/2018/mit-faculty-approves-new-urban-science-major-0605).
We are searching for candidates who can build on and extend this agenda through teaching and research involving advanced geographical information systems and analytics, communication and media, and/or simulation technologies related to urban planning and computer science. Applicants should be able to interrelate theory, research, and professional practice. They should also show demonstrated capabilities in interdisciplinary endeavors as well as to local, national, and international service.
The candidate’s experience should bridge across an urban science related fields -- such as knowledge representation, geosciences, or simulation and modeling -- and a planning related fields such as the design of places, spatial patterns, metropolitan networks and infrastructure, or participatory planning and policies. The use of information and communication technologies in meeting the needs of cities and communities, as well as in teaching and connecting to urban design, is of utmost importance.
Qualifications: A Ph.D. or Master’s Degree in areas related to responsibilities (e.g. Urban Planning, Computer Science, Architecture, Landscape Architecture, Urban Geography). We are especially interested in candidates who can demonstrate familiarity with the connection between computer science and urban planning and urban design.Candidates should also have programming experience (e.g., Anaconda Python), database systems (e.g., PostgreSQL, and PostGIS), geoprocessing technologies (e.g., ArcGIS and QGIS software and web mapping and visualization libraries.Successful applicants will be expected to engage with students from both department’s undergraduate, professional masters (MCP), and doctoral programs.
Application Instructions: Applications should be submitted through the interfolio website: https://apply.interfolio.com/52565. A complete application package includes a cover letter, c.v., statement outlining current and future research and teaching interests; and the names, affiliations, and email addresses of at least three referees. Review of applications will begin on October 15th and will continue until the position is filled. Please do not send materials by email. For technical issues, please contact Interfolio staff at 877-997-8807 or help@interfolio.com. Other questions can be directed to Sandra Elliott: sandrame@mit.edu.
MIT is an equal opportunity employer committed to building a culturally diverse intellectual community, and strongly encourages applications from women and underrepresented minorities. EOE.
Technical Instructor in Urban Science and Planning
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Position: Technical Instructor in Urban Science and Planning with a focus on Data Analytics, Data Visualization, Machine Learning and/or Artificial Intelligence. This is an academic-year appointment (September through May 31), the initial appointment will be for two years with the potential for appointment extensions.
Description: Over the past decades the Department of Urban Studies and Planning (DUSP) and The Department of Electrical Engineering and Computer Science (EECS) at MIT have developed a strong research and teaching agenda focused on understanding the role of information technologies, data, sensors and networks in the planning and development of urban environments. We have also developed new technologies and tools to model, envision and communicate information about the city. We have recently established a new joint undergraduate major in urban and computer science of which this position would be central. We are searching for candidates who can build on and extend this agenda through teaching involving advanced information systems and analytics, communication and media, and/or simulation technologies related to urban planning and computer science.
Full-time participation in educational activities during the academic terms (Fall, Independent Activities Period, and Spring) including: Interacting with students and faculty by lecturing, leading recitations, problem sets, or staffing lab and office hours. Creating content, such as lecture materials, problem sets, quizzes, videos, and other online materials. Carrying out administrative and advising responsibilities. Research opportunities might arise, such as co-supervision of undergraduate or masters projects.
Minimum Qualifications: A Ph.D. or Master’s Degree in areas related to responsibilities (e.g. Urban Planning, Computer Science, Geography, Architecture).We are especially interested in candidates that can demonstrate familiarity with the connection between computer science and social sciences/urban planning. Also, a demonstrated interest in educational innovation.Candidates should have programming experience (e.g., Anaconda Python), be familiar with database systems (e.g., PostgreSQL, and PostGIS), and be comfortable working with statistical packages (e.g., R). Candidates should have some experience with geoprocessing technologies (e.g., ArcGIS and QGIS software and web mapping and visualization libraries such as Leaflet, node.js, d3.js, and Shiny with R). Also, experience with the design and implementation of distributed hardware systems, such as autonomous control, sensors and drones.
Application: Applications should be submitted through the interfolio website: http://apply.interfolio.com/51459
A complete application package includes a cover letter, c.v., a statement of prior experience including a few paragraphs describing your work, and the names, affiliations, and email addresses of at least two references. A digital portfolio of work (not to exceed 20 pages) is recommended but not required.
Review of applications will begin immediately and will continue until the position is filled. Please do not send materials by email. For technical issues, please contact Interfolio staff at 877-997-8807 or help@interfolio.com. Other questions can be directed to Sandra Elliott: sandrame@mit.edu.
MIT is an equal opportunity employer committed to building a culturally diverse intellectual community, and strongly encourages applications from women and underrepresented minorities. EOE.