Assistant Professor - Radar Signal Processing - 12168BR
Assistant Professor - Radar Signal Processing
The successful candidate will have experience in radar signal processing 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; and/or multi-function systems.
KU, the School of Engineering and ITTC:
The University of Kansas is a premier international research university that is committed to a diverse and inclusive learning and working environment. We are building a culturally diverse faculty and encourage women and minority candidates.
EECS leads the KU School of Engineering with about 39 faculty members and a research volume of about $5 million per year. The EECS department offers undergraduate and graduate degrees in electrical engineering, computer engineering, computer science, interdisciplinary computing, and information technology. The department has approximately 600 undergraduate and 200 graduate students. The KU School of Engineering has recently expanded with new research and teaching facilities.
ITTC is a University of Kansas designated research center that advances knowledge and creates innovative technologies in telecommunications, information systems, bioinformatics, and radar, the latter embodied by the Radar Systems & Remote Sensing Lab (RSL) that has made significant advances to the field of radar since its founding in 1964. ITTC is one of the largest research centers at the University of Kansas, with state-of-the-art facilities supporting various multidisciplinary inquiries. ITTC-affiliated faculty members have served as federal program directors at NSF, DARPA, and NASA. The labs within ITTC have computing resources, facilities for layout and construction of RF/radar systems, and programming expertise, which are supported by dedicated technical staff. ITTC recently received support from the NSA to improve security for the Internet of Things, becoming one of only six universities selected to host an NSA lablet. Affiliated with ITTC is the National Security Laboratory that enables faculty to conduct research for the Department of Defense and other U.S. government agencies. Under faculty guidance, our students conduct fundamental research and develop strategic solutions for Kansas companies and national industries.
Perform and conduct research in the research centers/laboratories associated with the department. Establish a strong research agenda in areas of expertise that overlaps, supports, or expands the current research in the department, leading to external grant support and publication in recognized refereed journals. Collaborate with faculty and professional staff on KU campuses.
Teach undergraduate and graduate courses in the Electrical Engineering and Computer Science department. Participate in undergraduate and graduate student academic advising. Mentor graduate students in research and serve as the major advisor and chair of Master’s and Doctoral level thesis committees.
Perform Department, School, University and professional service activities normally expected of university faculty commensurate with rank. Participating in local, national and international professional conferences and other activities appropriate to the discipline. Perform other duties as assigned by the Department Chair and/or the Director of ITTC.
2. Expertise in any research area in radar signal processing, 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; and/or multi-function systems.
3. Ability to possess and maintain a security clearance issued by the U.S. Government.
Additional Candidate Instructions
Review of application materials begins July 18, 2018 and continues as long as needed to identify a qualified pool of candidates.