Technical Instructor in Urban Science and Planning

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Education June 28, 2018 MIT, Department of Urban Studies and Planning Cambridge, MA, USA

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Technical Instructor in Urban Science and Planning with a focus on Data Analytics, Data Visualization, Machine Learning and/or Artificial Intelligence. The position will be an academic-year appointment (September through May 31). Initial appointment will be for two years with the potential for appointment extensions.

Background:

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.

Specific duties are outlined below:

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.

Qualifications

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.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 Instructions

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 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.
Deadline: Oct 31, 2018 at 11:59 PM EST