SMART is a major research enterprise established by the Massachusetts Institute of Technology (MIT) in partnership with the National Research Foundation of Singapore (NRF). SMART serves as an intellectual hub for international research collaborations, not only between MIT and Singapore, but also involving researchers from the region and beyond. At SMART, we identify and carry out research on critical problems of societal importance. SMART is a magnet attracting and anchoring global research talent, while simultaneously instilling and promoting a culture of translational research and entrepreneurship in Singapore. Five interdisciplinary research groups (IRGs) have been established to date: BioSystems and Micromechanics (BioSym), Centre for Environmental Sensing and Modeling (CENSAM), Future Urban Mobility (FM), Infectious Diseases (ID) and Low Energy Electronics Systems (LEES).
Postdoctoral Associate – Mobility Data Analysis (Ref: IRG_FM_2011_015)
Future Urban Mobility Interdisciplinary Research Group
Project Overview:
The Future Urban Mobility project (FM IRG) from Singapore-MIT Alliance for Research and Technology (SMART) is looking for an outstanding and promising postdoctoral researcher in the area of mobility data analysis. This project deals with a multitude of ubiquitous data including GPS, accelerometer, public transit smartcards, toll road readers, car loop counters, telecom data, and many others.
This position will be based at the SMART Centre in Singapore. This is part of the CREATE campus, an international research complex that has representatives from many renowned research institutions in the world (e.g. MIT, ETHZ, Technion Israel, TU Munchen, and UC Berkeley).
Job description:
For this position, the researcher will work on developing models/algorithms for extracting information from the mobility traces, namely identifying characteristics from individual traces, such as mode of transportation, exact route taken (i.e. map-matching), stops and activities. This list of research challenges is not exhaustive and there are plenty of rooms for cutting edge development and innovation, both at the lab and at the real world application level. Specifically, the job scope is as follow:
- Typical data analysis process (cleaning, preparation, descriptive statistics, exploration);
- Pattern recognition modeling (advancing current state of the art);
- Performance assessment (complexity analysis, field testing);
- Advance research in any of these areas or related, namely in transport modeling, participatory sensing or ubiquitous computing.
Requirements:
The ideal person will have strong background in pattern recognition and computer science, but with a multidisciplinary spirit, namely understanding or willing to learn about urban mobility, transportation and planning. S/he will necessarily have to face statistical and mathematical challenges that are hard and somewhat rare in computing courses, so a good background in these topics is sought.
Candidates should meet the following requirements:
- PhD in Computer Science or any other field that guarantees background for above description (e.g. physics, electrical engineering, mathematics, transportation);
- Experience with spatial/temporal data analysis;
- Good communication skills
Candidates with an experience in any of the following will have an advantage:
- Pervasive/Ubiquitous computing sensor data in urban environments
- Smartphone based data collection
To apply, please visit our open positions website at: http://smart.mit.edu/jobs-at-smart/current-open-positions.html.
Link:
SMART is a major research enterprise established by the Massachusetts Institute of Technology (MIT) in partnership with the National Research Foundation of Singapore (NRF). SMART serves as an intellectual hub for international research collaborations, not only between MIT and Singapore, but also involving researchers from the region and beyond. At SMART, we identify and carry out research on critical problems of societal importance. SMART is a magnet attracting and anchoring global research talent, while simultaneously instilling and promoting a culture of translational research and entrepreneurship in Singapore. Five interdisciplinary research groups (IRGs) have been established to date: BioSystems and Micromechanics (BioSym), Centre for Environmental Sensing and Modeling (CENSAM), Future Urban Mobility (FM), Infectious Diseases (ID) and Low Energy Electronics Systems (LEES).
Postdoctoral Associate – Mobility Data Analysis (Ref: IRG_FM_2011_015)
Future Urban Mobility Interdisciplinary Research Group
Project Overview:
The Future Urban Mobility project (FM IRG) from Singapore-MIT Alliance for Research and Technology (SMART) is looking for an outstanding and promising postdoctoral researcher in the area of mobility data analysis. This project deals with a multitude of ubiquitous data including GPS, accelerometer, public transit smartcards, toll road readers, car loop counters, telecom data, and many others.
This position will be based at the SMART Centre in Singapore. This is part of the CREATE campus, an international research complex that has representatives from many renowned research institutions in the world (e.g. MIT, ETHZ, Technion Israel, TU Munchen, and UC Berkeley).
Job description:
For this position, the researcher will work on developing models/algorithms for extracting information from the mobility traces, namely identifying characteristics from individual traces, such as mode of transportation, exact route taken (i.e. map-matching), stops and activities. This list of research challenges is not exhaustive and there are plenty of rooms for cutting edge development and innovation, both at the lab and at the real world application level. Specifically, the job scope is as follow:
- Typical data analysis process (cleaning, preparation, descriptive statistics, exploration);
- Pattern recognition modeling (advancing current state of the art);
- Performance assessment (complexity analysis, field testing);
- Advance research in any of these areas or related, namely in transport modeling, participatory sensing or ubiquitous computing.
Requirements:
The ideal person will have strong background in pattern recognition and computer science, but with a multidisciplinary spirit, namely understanding or willing to learn about urban mobility, transportation and planning. S/he will necessarily have to face statistical and mathematical challenges that are hard and somewhat rare in computing courses, so a good background in these topics is sought.
Candidates should meet the following requirements:
- PhD in Computer Science or any other field that guarantees background for above description (e.g. physics, electrical engineering, mathematics, transportation);
- Experience with spatial/temporal data analysis;
- Good communication skills
Candidates with an experience in any of the following will have an advantage:
- Pervasive/Ubiquitous computing sensor data in urban environments
- Smartphone based data collection
To apply, please visit our open positions website at: http://smart.mit.edu/jobs-at-smart/current-open-positions.html.<
Country: Singapore
