美国麻省理工大学招收数学博士后

Postdoctoral Positions in Complexity Science and Human Mobility : Cambridge, MA, United States

Position Title: Postdoctoral Position in Complexity Science and Human Mobility
Location: Cambridge, MA and Singapore

The Senseable City Lab (SCL) at the Massachusetts Institute of Technology (MIT) is looking for exceptional candidates to fill a postdoctoral position for the modeling and analysis of complex urban systems and human mobility (http://senseable.mit.edu/) through big data created by human activity.

Since its inception, SCL has acquired massive and unique data sets about different aspects of human
behavior in cities all over the world. The Lab together with its partners – world leading industrial
companies and organizations – has launched a major interdisciplinary initiative to harness these
unprecedented data sets in order to better understand cities as 'complex systems', and use this knowledge base to analyze, design, develop and test senseable and sustainable mobility systems in interaction with other future urban systems.

The available data is very broad and includes individual-based phone call records, social media, public transport e-ticket records and taxi movements among others.

JOB DESCRIPTION:
• Perform fundamental and applied research on quantifying, modeling and predicting human mobility
in collaboration with the lab’s multidisciplinary team, external research and industrial partners.
• Actively contribute to the modeling, design, and analysis of innovative mobility systems based on
ride and vehicle sharing, electric vehicles, self-driving vehicles, etc.
• Analyze big datasets created by human activity.
• Actively contribute to the design and initiation of new research projects and ideas in the field of
urban and sub-urban mobility systems.
• Participate in the research projects with lab’s industrial partners.
• Present research results at top international workshops and conferences, exhibits as well as internal project meetings.
• Co-author articles for publication in leading peer-reviewed journals and top conferences.

REQUIREMENTS:
The successful candidate must hold a Ph.D. in physics, mathematics, computer science, engineering, or a related field. Candidates with an interdisciplinary mathematical modeling background are also given particular attention. Ability of approaching research problems with a system view, of working in a multidisciplinary team environment, problem solving skills and high creativity are very welcome.
• Experience in handling large-scale data sets as well as complex systems modeling and analysis is
required.
• Candidates must present a strong publication record.
• Practical skills in SQL, Matlab, Python are expected. C++, Java, Hadoop, MapReduce and other relevant technologies are a plus.
• Experience in human mobility modeling/analysis is a strong plus.
• Experience in physical statistics is a plus.
• Advanced to strong oral and written English skills are expected.

The position is available immediately. We invite interested applicants to submit the following material to senseable-applicants@mit.edu or senseable-applicants-sing@mit.edu:
• A motivation letter (usually up to 1 page) stating the applicant's interest in working with SCL and in
particular including: research areas and/or projects of particular interest within the given scope, key
relevant competencies of the applicant, dates of availability.
• CV, which should include: relevant projects earlier accomplished and key relevant publications of
the applicant (up to 5).
• Complete publication list, key relevant publications full text attached.
• An applicant should be ready to provide letters of recommendation or contacts of the academic
referees upon request.

International scholars are welcome to apply.
Deadline for applications – Sept. 30, 2014.

For further information or an informal discussion about the post, please contact Dr. Paolo Santi
at senseable-applicants@mit.edu or Oliver Senn at senseable-applicants-sing@mit.edu.

MIT is an Equal Opportunity / Affirmative Action Employer