Electrical Engr & Comp Science
The University of Kansas (KU) Department of Electrical Engineering and Computer Science (EECS) seeks outstanding individuals for a tenure track Assistant Professor position in Computer Science. 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 closely related fields at the time of appointment. The following position is open:
Computer Science: Applicants focusing on the transforming of data into knowledge via machine learning are encouraged to apply. Applicants areas of expertise/interest can range from classification to deep learning and neural networks, software/hardware implementation of machine learning algorithms, optimization and artificial intelligence, and/or data mining. Applicants pursuing research in areas that are synergistic with departmental strengths of security and assurance, imaging, scientific/parallel computing, communication systems and networking, radar and remote sensing, embedded systems, and signal processing are preferred.
Exceptional applicants in other closely related areas to the above topics may be considered.
All qualified (including international) candidates are encourage to apply. The successful candidate must be eligible to work in the U.S. by the effective date of the appointment.
The University of Kansas School of Engineering (SoE) and the EECS Department strongly value diversity, equity, and inclusion. 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. We seek candidates who can contribute to fostering an inclusive culture. KU SoE is one of only 29 universities to achieve the exemplar, inaugural ASEE Diversity Recognition Bronze Award https://diversityrecognition.asee.org/award-recipients/ .
EECS is the largest department in the KU School of Engineering with 36 faculty members and a research volume of about $5.8 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 800 undergraduate and 150 graduate students. EECS faculty engage in collaborative research projects across multiple areas of interest within the department and the University, and with other institutions. There are many interdisciplinary opportunities involving schools at KU and the KU Medical Center. The KU School of Engineering has added new faculty lines over a five-year period and has expanded research and teaching facilities.
40% 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.
40% 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 and conference proceedings. Collaborate with faculty and professional staff on KU campuses.
20% 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.
1. Earned doctorate, or equivalent in computer science, computer engineering, electrical engineering, or a closely related scientific or engineering discipline by the time of appointment.
2. Expertise in transforming of data into knowledge via machine learning and/or expertise in areas ranging from classification, deep learning and neural networks, software/hardware implementation of machine learning algorithms, optimization and artificial intelligence, or data mining. Expertise as demonstrated by scholarly work, publications, teaching and/or service.
Contact Information to Applicants
Additional Candidate Instruction
A complete online application will include the following items: 1) letter of application, 2) curriculum vitae, 3) a statement of research interests and plans, 4) a statement of teaching interests including plans for broadening participation in computing, and 5) contact information (including email addresses) for three individuals who can provide letters of recommendation. Candidates should address, in their application letter, how they plan to promote the values of diversity, equity, and inclusion.
In addition to the materials above, learning about each applicant's contribution and engagement in areas of diversity is an important part of KU's mission. As a result, applicants will be presented the following questions at the time of application. Each response must be within 4,000 characters or less.
Application Review Begins
Anticipated Start Date
University of Kansas - Lawrence
Advertised Salary Range
Commensurate with experience and rank
The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Executive Director of the Office of Institutional Opportunity & Access, IOA@ku.edu, 1246 West Campus Road, Room 153A, Lawrence, KS 66045, 785-864-6414, 711 TTY 9for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses).
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