Computer Science -AI Open Rank

The School of Engineering and Computer Science (SECS) invites applications for an Open rank faculty position to begin on January 01, 2022. We are primarily seeking a visionary and exceptionally collaborative leader to serve as the inaugural director of the SECS Interdisciplinary Artificial Intelligence Initiative. The candidate should have strong scholarly credentials, leadership skills, and experience to connect investigators from diverse backgrounds (e.g., engineering, healthcare, education) in pursuing novel research directions. The successful candidate will have a Ph.D. in Computer Science, Computer Engineering, or closely related fields. Preferred qualifications include:

• Proven track record of developing a vibrant and high impact externally funded research program.
• Have developed a national and international reputation for technical leadership in the broad area of AI, including, but not limited to Artificial Intelligence, General Machine Learning, Data Science, Augmented Perception, Autonomous Systems, Human-Computer Interaction, Natural Language Processing, Deep Learning, Trustworthy Machine Learning, or related applied areas such as AI in Biomedical Engineering, AI in Cybersecurity, Computer Vision, AI in Software Engineering, AI in Robotics or Mechatronics, or AI in Next Generation Computing and Communication.
• Evidence of ability to work effectively with a diverse student and faculty population.
• Evidence of a strong track record in establishing educational programs related to AI and strong experience in building partnerships with industry and beyond.
• Demonstrated evidence of junior faculty mentoring.
• Evidence of ability to excel in the classroom teaching at the undergraduate and graduate levels.
• Experience supervising research of undergraduate and graduate students.

Candidates should have an appreciation of and commitment to the value of diversity and working with a diverse faculty and student body.Minimum Qualifications:

• Ph.D. in Computer science, Electrical Engineering, Computer Engineering, or related disciplines. Of special interest are applicants who specialize in interdisciplinary AI research, particularly those with demonstrated evidence of collaborations with non-computer science disciplines.
• Associate Professor candidates must also meet the university standards for appointment to the rank including significant experience/accomplishments in the candidate's area of expertise.
• Full Professor candidates are required to have national distinction, international recognition, and a substantial scholarly record in their area of expertise in addition to the aforementioned requirements.

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