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Job ID: 82665

Assistant Professor
University of Kansas

  • Sep. 6, 2016
 
  • Assistant Professor
  • Electrical Engineering and Computer Science
  • http://www.eecs.ku.edu/
  • University of Kansas
    Lawrence, KS
    United States
 
  • Open until filled
  • Aug. 18, 2017
  •  
 
  • Assistant Professor
  • Electrical and/or Electronics
    Computer Engineering
    Computer Science
 
 
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UNIVERSITY OF KANSAS


 



 
 

The University of Kansas (KU) Department of Electrical Engineering and Computer Science seeks individuals for three tenure track positions in the disciplines of electrical engineering, computer engineering, or computer science. Candidates are expected to contribute to the development of academic and research programs and to the research community. Applicants are expected to have an earned doctorate, or equivalent in electrical engineering, computer science, computer engineering, or related fields at the time of appointment. The successful candidate must be eligible to work in the U.S. by the time of appointment. Applicants pursuing research in areas that are synergistic with departmental strengths are preferred. The following positions are open at the assistant professor (tenure-track) level, with the possibility of higher rank for the exceptional applicant, with experience in:

Cybersecurity – Any area in Security and Privacy, including but not limited to systems security, network security, information security and privacy.
http://employment.ku.edu/academic/6860BR

Static analysis – including but not limited to: automated software engineering; program analysis; partial evaluation; symbolic execution; and model checking. Application areas including high-assurance systems; resiliency; trustworthy systems; and secure systems are particularly desirable.
http://employment.ku.edu/academic/6864BR

Wireless Communications, Devices and Applications – Applicants are sought in the areas of 5G/IoT/V2X technologies, including but not limited to, distributed, multi-channel signal processing, processing, and adaptive beamforming technologies for secure, scalable, and power/spectral efficient systems; massive MIMO; millimeter-wave circuits and/or systems. Applicants are sought who apply their expertise to implementation of applications, including but not limited to: challenged environments, e.g., civilian disasters, or military (anti-jam), or, covert/communication/radar spectrum sharing; telemetry and remote sensing; and smart grid communications systems for power distribution and monitoring.
http://employment.ku.edu/academic/6866BR

Exceptional applicants in other closely related areas to the above topics may be considered. The KU School of Engineering is rapidly expanding with research and teaching facilities. KU is focused on four key campus-wide strategic initiatives. For more information, see http://www.provost.ku.edu/planning/themes/. Successful candidates should describe in their application materials how their work addresses one or more of KU"s strategic initiatives.

Applications should be submitted online at the links provided above for the appropriate position. Applications should include a letter of application, curriculum vita, a statement of research interests and plans, a statement of teaching interests and plans, and contact information for three references. Applications will be reviewed beginning October 15, 2016 and will be accepted until the position is filled. The appointment will be effective as negotiated. Questions can be sent to: EECS_Search@eecs.ku.edu.


  • KU is an EO/AAE. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy), age, national origin, disability, genetic information or protected Veteran status.


 
Please reference AcademicKeys.com in your cover letter when
applying for or inquiring about this job announcement.
 

Contact Information

 
  • Electrical Engineering and Computer Science
    University of Kansas
    1520 West 15th Street
    2001 Eaton Hall
    Lawrence, KS 66045
  •  
  • EECS_Search@eecs.ku.edu
 

 

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