Open Position: Sponsored Research Staff MIT House_n Research Group
RESEARCH PROGRAMMER or POST-DOCTORAL ASSOCIATE, House_n Research Group, to join a team developing software for mobile phones to use sensing, pattern recognition, and persuasive computing to automatically measure physical activity and help people stay healthy. Responsibilities will include (1) working with MIT researchers and medical collaborators to develop novel applications for mobile phones that measure and motivate physical activity, (2) iteratively implementing and testing the software through several rapid design phases, (3) using participatory design techniques to gather information about end-user concerns, and (4) publishing academic papers on the design and use of the technology and extensions. The appointment will be for one-year with possible extension. For additional infomation on the project, see http://web.mit.edu/wockets. Minimum Qualifications: B.S. or advanced degree in Computer Science (or closely related subject) and demonstrated success developing sophisticated mobile applications for Windows Mobile, Android, iPhone, or Symbian. An advanced degree with experience in a research environment is not required, but desirable. Expertise in pattern classification algorithm development and statistical analysis of sensor data, database-driven application development (including managing and visualizing large datasets), Bluetooth programming, and/or user-interface design and evaluation for mobile computing highly desirable. Title of Research Programmer or Post-Doctoral Associate is dependent upon level of education and research experience. Candidate should possess excellent communication skills and the ability to interact professionally with external researchers in engineering and medicine. Research Group: Successful applicants will work with the MIT House_n research group, a multi-disciplinary group of researchers developing technologies for in-home and mobile computing using advanced sensor technologies, with an emphasis on applying pattern recognition sensing technologies to creation of persuasive human-computer interfaces, especially in the area of health technologies. To Apply: Please forward a cover letter, a CV (including contact information for three references), and two recent publications to Dr. Stephen Intille via email ([my last name]@mit.edu). For more details on the project or position, contact Dr. Intille via email or at 617-452-2346. |
