Transportation Engineering Civil Engineering Engineering - Other
Part of the FM research agenda involves the development of the SimMobility platform for the microsimulation of land use and transportation interactions. SimMobility is an agent-based simulator that links together various mobility-sensitive behavioral models with state-of-the-art simulators to predict impacts of mobility demands, infrastructure changes, and evolving transportation options on the deployment and delivery of people, firms, services and freight. This particular Postdoctoral Associate will focus on the so-called ‘long-term’ module of SimMobility. The behavioral models in the long-term, agent-based simulator address household residential choice, vehicle availability, firm location and real-estate markets in a manner that is tightly integrated with an activity-based ‘mid-term’ model that estimates agent-specific ‘logsum’ accessibility measures for simulated daily activity patterns.
The overall scope of FM research includes a number of projects on the development, and analysis of new and advanced forms of mobility options (such as on-demand mobility and autonomous vehicles), as well as on their urban planning and management implications. Both FM, and the SMART Centre, encourage exploration of new ideas and the use of ‘big data’ to advance our understanding of behavioral choices, urban activity patterns and the adoption of new forms of mobility.
Depending upon project assignment and postdoc skills and interests, the specific responsibilities will involve some combination of the following:
Enhancing, estimating and calibrating the behavioral models in the long-term simulator,
Generating and updating synthetic populations of residents, firms, and workers for particular cities at various points in time,
Performing complex data analysis and integration of geospatial datasets,
Contributing to the design and initiation of new research projects and ideas related to household and firm behavior as new options evolve for urban mobility and freight delivery,
Presenting research results at international workshops, conferences, and exhibits as well as at internal project meetings,
Co-authoring articles for publication in top-tier, peer-reviewed journals and conferences, and
Monitoring the progress of project components, supervising PhD students, and regularly meeting with Principle Investigators.
The successful candidate must hold a doctoral degree in Urban Planning, Transportation Engineering, Econometrics or a related field. Candidates with experience in urban modeling and data science will have an added advantage. Additionally, they should enjoy working in a multidisciplinary team environment that values problem solving skills and creativity.
Advanced skill and experience in data processing and analysis is required.
Expertise in agent-based modeling, urban-scale transport modeling; and/or behavioral economics and real-estate markets is desired.
Knowledge of urban economics, discrete choice models, geoprocessing, and database management is expected.
Experience with programming in scientific languages (e.g. Python and R) is necessary.
Familiarity with object-oriented programming languages (e.g. C++ and Java) is desired.
Independent thinking and innovative scientific accomplishments demonstrated via published papers is expected.
Outstanding oral and written communication skills in English is required.
The Postdoctoral Associate will work with an integrated team of faculty, researchers and students from MIT and Singapore University partners, including (among others): Professors Joseph Ferreira, Christopher Zegras, and Moshe Ben-Akiva of MIT.
Interested applicants should submit the following:
A motivation letter (one or two pages) stating the applicant’s interest in working with the Lab, research areas and/or projects of particular relevance, key competencies, and anticipated date of availability,
A full CV, including degrees, relevant projects and positions with dates, and key relevant publications (up to 5), and
Names and contact information of three references.
We regret that only shortlisted candidates will be notified
Please reference AcademicKeys.com in your cover letter when
applying for or inquiring about this job announcement.