Join the CCI TEAM
Massachusetts Institute of Technology
77 Massachusetts Ave., Cambridge, MA 02139
Postdoctoral Associate Job Opportunities
MIT Center for Collective Intelligence (CCI) and
MIT Computer Science & AI Lab (CSAIL)
Positions
One or two full-time Post-Doctoral Associate positions in computer science and/or social science, available starting approximately June 2022, for one year with the possibility of extension. Candidates will be appointed in the Center for Collective Intelligence and/or the Computer Science & AI Lab, as appropriate.
Supervisors
Professors Thomas Malone, Daniela Rus, and/or Abdullah Almaatouq
Job Descriptions and Requirements
Successful applicants will work on a project aimed at creating highly effective (potentially “superintelligent”) human-computer groups. Reporting to professors Malone, Rus, and/or Almaatouq they will be part of a team designing, implementing, and testing configurations for human-computer groups that have the potential to perform far better than humans alone, computers alone, or other baselines.
Computer science position
Work may include developing (a) state-of-the-art AI software that dramatically augments human capabilities and (b) formal or other approaches for automatically generating and evaluating human-computer systems. May also participate in manuscript writing, supervising students, and presentation of research results.
REQUIRED: a Ph.D. in computer science or a related field, ideally with a background that includes one or more subfields of artificial intelligence, machine learning, program synthesis, formal methods and/or user interface design; English language proficiency; excellent communication skills; and self-motivation. DESIRABLE: some background in psychology and/or other social science fields.
Social science position
Work may include (a) designing and carrying out experiments with humans and various kinds of advanced software; (b) helping to design state-of-the-art software to augment human capabilities; (c) gathering and analyzing various kinds of data to help characterize possible types of tasks and human-computer groups; and (d) developing formal models of group performance.
May also participate in manuscript writing, supervising students, and presentation of research results.
REQUIRED: a Ph.D. in psychology, organizational behavior, economics, sociology, or a related field, ideally with experience in experimental design and/or large-scale data analysis; English language proficiency; excellent communication skills; and self-motivation. DESIRABLE: some background in computer science and/or related fields.
Salary
Commensurate with experience, and competitive with similar positions.
To apply
Please apply at https://bit.ly/3CQdjeh for computer science position or https://bit.ly/3KP2fAZ for social science position, including a CV and cover letter outlining interests and experience. Applications will be accepted on a rolling basis until the position(s) are filled.
About the MIT Center for Collective Intelligence (CCI)
The MIT Center for Collective Intelligence explores how people and computers can be connected so that—collectively—they act more intelligently than any person, group, or computer has ever done before. CCI’s mission is to both understand collective intelligence at a deep scientific level and to take advantage of the new technological and other possibilities it offers. For example, CCI’s past research has included pioneering work on measuring collective intelligence, crowdsourcing solutions to climate change, and designing new kinds of organizations that combine people and computers.
About the MIT Computer Science and AI Lab (CSAIL)
MIT’s Computer Science and Artificial Intelligence Laboratory pioneers new research in computing that improves the way people work, play, and learn. It focuses on developing fundamental new technologies, conducting basic research that furthers the field of computing, and inspiring and educating future generations of scientists and technologists. With more than 60 research groups working on hundreds of diverse projects, researchers focus on discovering novel ways to make systems and machines smarter, easier to use, more secure, and more efficient.