Postdoctoral Research Associate
- Rice University
- Location: Houston, TX
- Job Number: 7066272
- Posting Date: May 15, 2020
- Application Deadline: Open Until Filled
Job DescriptionPosition Summary
The Computational Wellbeing Group directed by Prof. Akane Sano has a postdoctoral research position available in the areas of behavioral and physiological sensing, machine learning, and human centered computing applications for digital or mobile health. Applicants should have a PhD in electrical and computer engineering, computer science, information science, biomedical engineering or behavioral sciences with experience in working with either human sensing, algorithms for analyzing physiological or/and behavioral signals, or human-centered health or AI applications. Interdisciplinary research interest is a must. The successful candidate will have a strong commitment to teaching, advising, and mentoring undergraduate and graduate students from diverse backgrounds. This position is focused on advancing sensing and intervention technologies for health, wellbeing, and performance, especially related to developing novel algorithms for tracking behavioral and physiological markers or creating new methods and systems for behavior change or intervention. Any prior experience of collaboration with clinical researchers, human subject studies, or mobile application development is a plus. The group is interested in solving issues in the real world and making technologies available to those who need them by doing a mix of basic and applied research, and academic and entrepreneurial types of research.
Please visit our website (https://compwell.rice.edu) to see the projects and papers coming from the group and assess fit in terms of interests and expertise.
Rice University, located in the heart of Houston (the 4th largest city in the US)’s Museum District, offers a dynamic student life in the nation’s fourth-largest city. Rice is adjacent to the Texas Medical Center, one of the largest medical center in the world.
The George R. Brown School of Engineering ranks among the top 20 of undergraduate engineering programs and is strongly committed to nurturing the aspirations of faculty, staff and students in an inclusive environment.
Rice University is an Equal Opportunity Employer with commitment to diversity at all levels and considers for employment qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national or ethnic origin, genetic information, disability, or protected veteran status.
PhD in electrical and computer engineering, computer science, information science, biomedical engineering, behavioral sciences or a related field.
Experience conducting research with data analysis and machine learning for physiological or/and behavioral signals and preparing publications and presentations.
- Should be able to lift up to 25 pounds (moving computers and other related equipment)
- Must be able to work at a computer for extended periods of time (up to 8 hours)
Monday through Friday, flexible hours during normal 40 hour work week.
As defined under the Texas Education Code and Rice Policy No. 425, this position is security sensitive and employment in this position is contingent upon the successful completion of a background check.
Position is not considered essential during a campus emergency.
Rice University Standard of Civility
Serves as a representative of the University, displaying courtesy, tact, consideration and discretion in all interactions with other members of the Rice community and with the public.