Research - Laboratory/Non-Laboratory, Staff/Administrative
Department: Electrical and Computer Engineering
The Computational Wellbeing Group directed by Prof. Akane Sano has a postdoctoral research position available in the area of behavioral, physiological, and biomedical data processing, analysis, machine learning, and human centered computing applications for digital or mobile health. The ideal candidate has a PhD in computer science, information science, electrical or biomedical engineering, or behavioral sciences with experience in working with either human sensing, algorithms for analyzing biomedical, physiological or/and behavioral signals, machine learning, 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, predicting health or medical events, designing a feedback/recommendation system, 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 webpage (https://compwell.rice.edu/)) to see the projects and papers coming from the group and assess fit in terms of interests and expertise. To apply to the position, please submit a cover letter, CV, and the names of three references. Questions for this position can be directed to Prof. Akane Sano (email@example.com). Review of applications will begin immediately and continue until the position is filled.
This position requires taking a leadership role in research and development for machine learning, data science, and/or human-centered applications. Additional duties include writing papers that describe the results of research, assisting with supervising graduate students working on related problems, helping prepare deliverables associated with external research support, helping prepare reports to research sponsors, working closely with external collaborators on research and deployment of technologies that are the subject of this research, and helping prepare proposals to solicit external research funding.
The George R. Brown School of Engineering ranks among the top 20 of undergraduate engineering programs (US News & World Report) and is strongly committed to nurturing the aspirations of faculty, staff and students in an inclusive environment.
Position Status: Full-Time
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, sexual orientation, gender identity, national or ethnic origin, genetic information, disability or protected veteran status.
Internal Number: 25503
About Rice University
As a leading research university with a distinctive commitment to undergraduate education, Rice University aspires to pathbreaking research, unsurpassed teaching and contributions to the betterment of our world. It seeks to fulfill this mission by cultivating a diverse community of learning and discovery that produces leaders across the spectrum of human endeavor.