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 position at the rank of Assistant Professor in Radar Systems and Remote Sensing. Successful candidates will have research that demonstrates strong potential for collaboration with existing faculty and complements the departments current strengths. We are particularly interested in expertise in areas such as hardware prototyping; advanced concepts (e.g., MIMO, agile waveforms); high-level system design; miniaturization (optimizing Size Weight and Power SWaP); radar signal processing in real-time and post-production; remote sensing applications and backscatter analysis; system-level characterization, predictive performance analysis, trade studies, and system-of-systems engineering; radar tracking & fusion; high-power systems, components, and RF/analog/digital interface requirements and design; clutter/interference cancellation (e.g., STAP); digital array design and concepts (dual-polarized, conformal, multi-band, ultra-wideband, reconfigurable, calibration); radar spectrum engineering & sharing; software-defined RF systems (RF-SoC, SDR) for real-time/cognitive sensing; propagation, clutter, radar cross-section, nonlinear RF simulation & modeling; complex waveform design; and shipboard/airborne/unmanned vehicles/space-based radar; networked and distributed concepts; imaging & 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/communications); millimeter-wave systems; and spectrum/electronic warfare, electronic protection, 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 US government is preferred.

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

The University of Kansas is the states flagship university, an R-1 institution and a member of the AAU. KU is noted for its academic rankings and a strong research portfolio, with externally funded research activity. The university emphasizes global engagement with numerous study abroad programs and international collaborations.

Position Details

Position: Assistant Professor, Radar Systems and Remote Sensing (tenure-track)

Location: Lawrence, KS

Hours: Full-time

Responsibilities

• 40% Teaching - 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 major advisor and chair of Masters and Doctoral thesis committees.
• 40% Research - Establish a strong research agenda in areas of expertise, publish in refereed journals and conferences, and pursue external funding. Collaborate with faculty and staff at KU and associated research centers.
• 20% Service - Perform department, school, university, and professional service as appropriate for the rank. Participate in conferences and other scholarly activities; perform duties as assigned by the Department Chair.

Qualifications

• Earned doctorate, or equivalent, in electrical engineering, computer engineering, computer science, or a closely related discipline by the time of appointment.
• Demonstrated potential for teaching undergraduate and graduate courses at the university level.
• Expertise in broad areas of radar and remote sensing, including system engineering, hardware prototyping, miniaturization, signal processing, software-defined RF systems, high-power systems, synthetic aperture systems, and spectrum engineering and sharing.

Additional Information

Required documents for online application: 1) letter of application, 2) curriculum vitae, 3) statement of research interests and plans, 4) statement of teaching interests and plans, and 5) contact information for three references. Review of applications begins November 1, 2025 and will continue until a qualified pool is reached. Salary is commensurate with experience. Anticipated start date: August 18, 2026.

Contact: Erik Perrins, ...@ku.edu