1+ months

Assistant Professor

The University of Kansas
Lawrence, Kansas 66045
  • Job Type
    Employee
  • Job Status
    Full Time
  • Jobs Rated
    3rd

The University of Kansas (KU) Department of Electrical Engineering and Computer Science (EECS) seeks individuals for three tenure-track positions: two positions in computer science at the rank of Assistant Professor of EECS; and one joint position in radar signal processing at the rank of Assistant Professor of EECS (tenure-track)/Assistant Scientist affiliated with the Information and Telecommunications Technology Center (ITTC). Candidates are expected to contribute to the development of academic programs and contribute 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.

We have 2 positions in Computer Science in the following areas open at the assistant professor (tenure-track) level, with experience in:  Applicants focusing in the following areas are encouraged to apply: (i) machine learning; (ii) distributed and parallel computing; (iii) high-performance computing; and (iv) software engineering. Exceptional applicants in other areas may be considered.  Applicants pursuing research in areas that are synergistic with one or more existing departmental strengths in security and assurance, communication systems and networking, radar and remote sensing, embedded systems, scientific/parallel computing, and signal processing are preferred. Apply online for these positions at 
https://employment.ku.edu/academic/18207BR.

Radar Signal Processing (one position)—Applicants with experience in radar signal processing are encouraged to apply; including but not limited to, adaptive signal processing for radar and sensor systems; synthetic aperture signal processing (SAR/ISAR/InSAR); moving target indication (GMTI/AMTI/DMTI); automatic target recognition; waveform diversity; multi-channel/MIMO sensing; tracking & fusion, clutter/interference cancellation (e.g. STAP); radar spectrum engineering & sharing; complex waveforms; cognitive sensing; electronic protection/support; and/or multi-function systems. Applicants with demonstrated experience working ITAR/export controlled and/or classified research for the US government are preferred. Apply for this position online at (
https://employment.ku.edu/academic/18203BR)

Exceptional applicants in other closely related areas to the above topics may be considered.

The University of Kansas School of Engineering (SoE) and the EECS Department strongly value diversity, equity, and inclusion.  We seek candidates who can contribute to fostering an inclusive culture.  In Spring 2019, KU SoE was one of only 29 universities to achieve the exemplar, inaugural ASEE Diversity Recognition Bronze Award 
https://diversityrecognition.asee.org/award-recipients/.  In a continuing effort to enrich its academic environment and provide equal educational and employment opportunities, the university actively encourages applications from members of underrepresented groups in higher education.
 
Applications should be submitted online at 
https://employment.ku.edu/academic-jobs. Applications should include a letter of application; curriculum vita; a statement of research interests and plans; a statement of teaching interests and plans; a diversity statement, typically on the order of two pages, outlining contributions and/or plans to contribute to diversity, inclusion, and equity; and contact information for three references. Application review will begin January 10, 2021 and will continue until the position is filled. The appointment will be effective as negotiated. Questions can be sent to: EECS_Search@eecs.ku.edu

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Posted: 2020-11-30 Expires: 2021-02-28

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Assistant Professor

The University of Kansas
Lawrence, Kansas 66045

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University Professor
3rd2019 - University Professor
Overall Rating: 3/199
Median Salary: $76,000

Work Environment
Very Good
1/220
Stress
Very Low
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Growth
Good
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