Dear Colleagues,
Texas Robotics at the University of Texas at Austin invites applications for a tenure-track faculty position at the rank of Assistant Professor with a tenure home in the Mechanical Engineering depatment. Outstanding candidates in all areas of Robotics will be considered, with emphasis on novel hardware and control techniques.
Tenure-track positions require a Ph.D. or equivalent degree in a relevant area at the time of employment. Successful candidates are expected to pursue an active research program, to teach both graduate and undergraduate courses, and to supervise students in research. The University is fully committed to building a world-class faculty and we welcome candidates who resonate with our core values of learning, discovery, freedom, leadership, individual opportunity, and responsibility. Candidates who are committed to broadening participation in robotics, at all levels, are strongly encouraged.
The current robotics faculty includes representatives from several departments who work to advance fundamental scientific and engineering knowledge in areas such as intelligent navigation and manipulation, robot learning, multi-robot systems, and human-robot interaction, as well as on numerous applications including social, rehabilitation, surgery, autonomous vehicles, manufacturing, space, nuclear, and defense. Full details on our program are available at http://robotics.utexas.edu. The group recently moved into a custom-renovated historic building at the center of campus.
To be considered for a position, please apply to the Mechanical Engineering department:
- https://me.utexas.edu/people/faculty-jobs
In addition, to ensure that your application is connected with the robotics search, please send your cover letter and CV, along with an indication of the position you applied for to:
f*******************s@utlists.utexas.edu
Please note, this list is used for data collection purposes; inquires may not be actively monitored.
Complete applications that are submitted by November 15th will be considered. Robotics applications will be reviewed as they are received. Applicants are encouraged to apply as soon as possible for full consideration.
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Professor Peter Stone Truchard Foundation Chair in Computer Science University Distinguished Teaching Professor Director, Texas Robotics Associate Chair, Department of Computer Science office: 512-471-9796 The University of Texas at Austin mobile: 512-810-3373 2317 Speedway, Stop D9500 p****e@cs.utexas.edu Austin, Texas 78712-1757 USA http://www.cs.utexas.edu/~pstone