Asst/Assoc Professor, Asst/Assoc Scientist AI/ML

The University of Kansas (KU) Department of Electrical Engineering and Computer Science (EECS) and the Institute for Information Sciences (I2S) seek outstanding individuals for a joint tenure/tenure-track position at the rank of Asst/Assoc Professor, Asst/Assoc Scientist in Electrical Engineering with a focus on Artificial Intelligence and Machine Learning. Successful 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 Computer Science, Computer Engineering, Electrical Engineering, or a closely related field at the time of appointment. The successful candidate must be eligible to work in the U.S. by the effective date of appointment.

Applicants are expected to develop and sustain a research program focusing on foundational research of an interdisciplinary nature. Applicants focusing on machine learning and data mining are encouraged to apply. The expertise of interest includes, but is not limited to, artificial intelligence, big data analytics, design and optimization of deep learning and neural networks, software/hardware implementation of machine learning algorithms, data science, and their applications in science and engineering. Applicants pursuing research in areas that are synergistic with KU’s recent Research Rising efforts on Securing Our Worlds: Physical, Digital, Social are preferred.

The University of Kansas School of Engineering (SoE), the EECS Department, and I2S strongly value diversity, equity, inclusion, and belonging (DEIB). 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; this recognition was renewed in 2022. 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.

EECS is the largest department in the KU School of Engineering with 37 faculty members and a research volume of over $6 million per year. Faculty engage in research projects across multiple areas of interest through the department, the Institute for Information Sciences (I2S), the Center for Remote Sensing and Integrated Systems (CReSIS), and the KU Medical Center. The EECS department offers undergraduate and graduate degrees in electrical engineering, computer engineering, computer science, and interdisciplinary computing. The department has approximately 1,000 undergraduate and 250 graduate students. The KU School of Engineering has added new faculty lines over a five-year period and has expanded research and teaching facilities.

Online applications should be submitted at https://apptrkr.com/4761211.

Review of application materials has been extended to November 15th and will continue as long as needed to identify a qualified pool of candidates.

KU is an EO/AAE. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, gender identity, disability, genetic information, parental status, gender identity, gender expression or protected Veteran status. http://policy.ku.edu/IOA/nondiscrimination