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Assistant Professor - Cybersecurity/Artificial Intelligence

University of Kansas
United States, Kansas, Lawrence
1450 Jayhawk Boulevard (Show on map)
Nov 08, 2024
Position Overview
The University of Kansas (KU) Department of Electrical Engineering and Computer Science (EECS) seeks outstanding individuals for two full time, tenure-track positions at the rank of Assistant Professor in Computer Science with a focus in areas such as (but not limited to) Cybersecurity, Formal Methods, Algorithms, and Artificial Intelligence. 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 any area related to cybersecurity, formal methods, algorithms, and/or artificial intelligence, including but not limited to: usable security and privacy; automated proofs; model checking; machine learning; and deep neural networks. Application areas including interdisciplinary usable security and privacy approaches; trustworthy systems; and secure systems are particularly desirable. Applicants pursuing research in areas that are synergistic with KU's recent Research Rising efforts on Securing Our Worlds: Physical, Digital, Social (https://research.ku.edu/news/kus-research-rising-awards-will-address-critical-challenges-facing-humanity) are preferred.

EECS is the largest department in the KU School of Engineering with 42 faculty members and a research volume of over $7 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, cybersecurity engineering, and applied computing. The department has approximately 1,100 undergraduate and 300 graduate students.

The University of Kansas is the state's flagship university, an R-1 institution and one of just 66 invited members of the prestigious Association of American Universities (AAU). Our university consistently earns high rankings for academics and recognition as a premier research university (engaging in $275 million of externally funded research annually).

KU has 65 ranked graduate programs and is ranked 24th in best value among public institutions in 2022. KU offers 5,000 courses, 400 degree and certificate programs, and more than 200 fields of study. The University values global engagement with more than 150 programs of international study and cooperative research and offers more than 130 study abroad programs. Student enrollment for the Lawrence-Edwards was 23,958 representing all 50 states and 112 countries.

At KU we make it our mission to educate leaders, build healthy communities, and make discoveries that change the world. We aspire to be an exceptional learning community that lifts each other and advances society. KU's strategic plan Jayhawks Rising is focused on objectives to accomplish this vision through three mission-based priorities of student success, healthy and vibrant communities, research, and discovery. KU's excellence is a result of the rich tapestry of experiences, perspectives, and backgrounds of our faculty, staff, students, and colleagues from across our nation and the globe. At KU, we invest in continuous learning and growth by creating a climate where people engage in respectful dialogue and debate, and support each other's success. We foster a culture of care where each person is seen, heard and valued. When people feel a true sense of belonging, we believe they are better able to reach their full potential and achieve remarkable things.

Job Description
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 the major advisor and chair of Master's and Doctoral level thesis committees.

40% - Research
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% - Service
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.

Required Qualifications
  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. Demonstrated potential for teaching Undergraduate and Graduate courses at the University level.
  3. Expertise in any area related cybersecurity, formal methods, algorithms, and/or artificial intelligence, including but not limited to: usable security and privacy; automated proofs; model checking; machine learning; and deep neural networks. Application areas including interdisciplinary usable security and privacy approaches; trustworthy systems; and secure systems are particularly desirable.

Additional Candidate Instructions
A complete online application consists of the following:
1. Letter of application
2. Curriculum Vitae
3. A statement of research interests and plans
4. A statement of teaching interests and plans
5. Contact information (including e-mail addresses) for three individuals who can provide letters of recommendation

Initial application review begins Monday, November 11, 2024 and will continue until a qualified pool of applicants is received.

Contact Information to Applicants
Erik Perrins
eecs_search@ku.edu

Advertised Salary Range
Commensurate with experience and rank

Application Review Begins
Monday November 11, 2024

Anticipated Start Date
Monday August 18, 2025


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