The Department of Electrical and Computer Engineering at Rice University invites applications for two tenure-track Assistant Professor positions in these areas:
Artificial Intelligence, Machine Learning, Computational Sensing and Signal Processing
We invite applications of a tenure track Assistant Professor position is in the areas of Artificial Intelligence, Machine Learning, Computational Sensing, and Signal Processing, broadly defined. Under exceptional circumstances, more experienced senior candidates may be considered. Specific areas of emphasis include, but are not limited to:
Artificial Intelligence (AI): theory of machine learning, deep learning, AI theory & algorithms, causal Inference, AI for health and medicine, AI for education and natural language processing.
Autonomous Sensors and Systems: computer vision, augmented reality, virtual reality, robotics, robotic surgery, AI with sensors, intelligent sensing systems, autonomous sensing and systems, autonomous driving, wireless sensing/imaging.
Quantum Computing (QC): quantum information theory, quantum algorithms, quantum computing systems.
Applicants should submit a cover letter, curriculum vitae, statements of research and teaching interests and at least three references via http://jobs.rice.edu/postings/22016
The deadline for applications is January 15, 2020; review of applications will commence December 1, 2019. The position is expected to be available July 1, 2020.
We also invite applications for a tenure track Assistant Professor position in the area of theoretical photonics, broadly defined. Under exceptional circumstances, more experienced senior candidates may be considered. Specific areas of interest include, but are not limited to:
nanoscale heat transfer
Applicants should submit a cover letter, curriculum vitae, statements of research and teaching interests, and at least three references via http://jobs.rice.edu/postings/22027
The deadline for applications is January 15, 2020; review of applications will commence November 15, 2019. The position is expected to be available July 1, 2020.
About Rice ECE
Our department has a vibrant research program in novel, leading-edge research areas, has a strong culture of interdisciplinary and multidisciplinary research with great national and international visibility, and is ranked #1 nationally in faculty productivity. Several faculty have strong national and international collaborations, as well as collaborative relationships in the adjacent Texas Medical Center, the world’s largest medical center complex and home to a number of top-tier medical research institutions. The successful applicant will be required to teach undergraduate courses and build a successful research program.
Rice University is a private university with a strong reputation for academic excellence in both undergraduate and graduate education and research. Located in the economically dynamic, internationally diverse city of Houston, Texas, 4th largest city in the US, Rice attracts outstanding undergraduate and graduate students from across the nation and around the world. Rice provides a stimulating environment for research, teaching, and joint projects with industry.
We seek greater representation of women, minorities, people with disabilities, and veterans in disciplines in which they have historically been underrepresented; to attract international students from a wider range of countries and backgrounds; to accelerate progress in building a faculty and staff who are diverse in background and thought; and we support an inclusive environment that fosters interaction and understanding within our diverse community.
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.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.