Job Details

Overview

The University of Kansas (KU) Department of Electrical Engineering and Computer Science (EECS) seeks outstanding individuals for a full-time, tenure-track Assistant Professor position in Radar Systems and Remote Sensing. Successful candidates will have research with strong potential for collaboration with existing faculty and will complement the departments current strengths. Areas of interest include hardware prototyping; advanced concepts (e.g., MIMO, agile waveforms); high-level system design; miniaturization (SWaP); radar signal processing in real-time and post-processed forms; remote sensing applications and backscatter analysis; system-level characterization, predictive performance analysis, trade studies, and system-of-systems engineering; radar tracking and fusion; high-power systems and RF/analog/digital interfaces; clutter/interference cancellation (e.g., STAP); digital array design (dual-polarized, conformal, multi-band, ultra-wideband, reconfigurable, calibration); radar spectrum engineering and sharing; software-defined RF systems (RF-SoC, SDR) for real-time or cognitive sensing; propagation, clutter, radar cross-section, nonlinear RF simulation and modeling; complex waveform design; shipboard/airborne/space-based radar; networked and distributed concepts; imaging and target identification; cognitive sensing; synthetic aperture systems (SAR/ISAR/InSAR); GMTI/AMTI/DMTI; ground/foliage/obscurant penetration; sense-thru-the-wall; collision avoidance; multi-function concepts (e.g., dual-function radar/communication); millimeter-wave systems; spectrum or electronic warfare, electronic protection, and electronic support. The successful candidate must be eligible to work in the U.S. by the effective date of appointment. Experience with ITAR/export-controlled and/or classified research for the U.S. government is preferred.

EECS is the largest department in KUs School of Engineering, with 42 faculty members and a research volume of over $13 million per year. The department collaborates with the Institute for Information Sciences (I2S), the Center for Remote Sensing and Integrated Systems (CReSIS), and the KU Medical Center. EECS offers undergraduate and graduate degrees in electrical engineering, computer engineering, computer science, cybersecurity engineering, and applied computing, with approximately 1,100 undergraduate and 300 graduate students.

KU is the states flagship university, an R-1 institution, and a member of the AAU. The university conducts substantial externally funded research and maintains high academic rankings and values global engagement with extensive study abroad and international programs.

Job Description

KUs mission includes educating leaders, building healthy communities, and making discoveries that change the world. The strategic plan emphasizes student success, vibrant communities, research, and discovery, with a culture of respectful dialogue and inclusive belonging. The department seeks a faculty member dedicated to teaching, research, and service in alignment with KUs values.

40% Teaching - Teach undergraduate and graduate courses in EECS. Participate in undergraduate and graduate academic advising. Mentor graduate students in research and serve as a major advisor and chair of Masters and Doctoral thesis committees.

40% Research - Conduct research in department laboratories and centers. Establish a strong research agenda that overlaps with or expands current department research, leading to external funding and publications in refereed journals and conference proceedings. Collaborate with faculty and staff on KU campuses.

20% Service - Perform service activities at the department, school, university, and professional levels appropriate to the rank. Participate in local, national, and international professional conferences and related activities. Undertake other duties as assigned by the Department Chair.

Required Qualifications

1. Earned doctorate, or equivalent, in electrical engineering, computer engineering, computer science, or a closely related scientific or engineering discipline by the time of appointment.
2. Demonstrated potential for teaching undergraduate and graduate courses at the university level.
3. Expertise in broad areas of radar and remote sensing, including but not limited to: system engineering, hardware prototyping, miniaturization, signal processing, software-defined RF systems, high-power systems, synthetic aperture systems, and spectrum engineering and sharing.

Additional Candidate Instructions

A complete online application will include the following PDF files: 1) letter of application, 2) curriculum vitae, 3) a statement of research interests and plans, 4) a statement of teaching interests and plans, and 5) contact information (including email addresses) for three individuals who can provide letters of recommendation.

Review of application materials begins November 1, 2025 and will continue until a qualified pool of applicants is received.

Contact Information to Applicants

Erik Perrins, ...@ku.edu

Advertised Salary Range

Commensurate with experience

Application Review Begins

Saturday, November 1, 2025

Anticipated Start Date

Tuesday, August 18, 2026