The Department of Electrical and Computer Engineering at Rice University invites applications for a tenure-track Assistant Professor position to teach undergraduate and graduate courses and perform research in Computer Engineering with a focus on hardware and embedded implementation of machine learning algorithms, with applications to one or more of sensor-based systems, security, energy, smart grids, IoT, robotics, mobile systems, cloud computing, data science, health informatics, and biomedical devices.
A Ph.D. is required, or the Ph.D. requirements must be fulfilled by November 1 of the year employment commences, and the successful applicant will be required to teach undergraduate and graduate courses and build a successful research program. Applicants should submit a cover letter, curriculum vitae, statement of research and teaching interests, and at least three references through the ECE faculty application website: https://jobs.rice.edu/postings/12467.
Applications for this position will be reviewed on a rolling basis beginning December 15, 2017 through January 15, 2018. The position is expected to be available July 1, 2017. Additional information can be found on our website: https://www.ece.rice.edu.
About Rice University's Electrical and Computer Engineering Department
The department has vibrant research programs in data science, machine learning, signal processing, wireless & mobile systems, nanoengineering, and neuroengineering with great national and international visibility. Our faculty rank among the top 10 most productive in the USA in both Computer Engineering and Electrical Engineering,* and are known for their strong collaborative relationships within the department, across disciplines at Rice, and internationally.
Based on Rice’s momentum in data science, the university has recently launched a $43 million initiative in Data Science. This commitment will enhance the work of ECE faculty; candidates for this position will have a large group of colleagues to collaborate with both at Rice and in the adjacent Texas Medical Center.
Set in the heart of Houston, Texas, Rice University is a private, comprehensive research university that fosters diversity and produces leaders who advance tomorrow’s thinking. We have a strong reputation for excellence in both academics and research. Forbes has called Rice a “Powerhouse in both STEM and the liberal arts.”^ Rice attracts a talented, diverse pool of students from around the world and provides a stimulating environment for research, teaching, and joint projects with government and industry. Our students and faculty have access to superb computational research facilities, both on-campus and in our networked off-campus data center. Rice’s strengths in information technology complement partnerships with the Johnson Space Center (NASA), the energy industry, and the Texas Medical Center, which is the world’s largest medical complex, adjacent to the Rice campus.
Houston is a city of endless possibilities: our history has been marked with achievements like the first word heard from the moon and the first artificial heart transplant. Nationally recognized parks, professional sports, world-class dining, and other attractions make Houston a great place to call home. Living in Houston means affordable housing options, excellent school districts and employment opportunities in numerous industries throughout the region. At over 6 million people, Houston is the fourth largest city in the United States, and is growing at an incredibly fast rate – we are poised to pass Chicago as the third largest city within the next decade. Over 90 different languages are spoken in the city making it a melting pot of different cultures. Our location is unbeatable – a campus frequently named as one of the nation’s most beautiful, with an average year-round temperature of 70 degrees. Learn more about the “Energy Capital of the World” at https://thecitywithnolimits.com.
About Rice University, Department of Electrical and Computer Engineering
The Department of Electrical and Computer Engineering at Rice University has vibrant research programs in data science, machine learning, signal processing, wireless & mobile systems, nanoengineering, and neuroengineering with great national and international visibility. Our faculty rank among the top 10 most productive in the USA in both Computer Engineering and Electrical Engineering,* and are k...nown for their strong collaborative relationships within the department, across disciplines at Rice, and internationally.