• Assistant/Associate Professor

    University of North Carolina at Charlotte (Charlotte, NC)


    Position Number: 001914, 003719, 004676

     

    Department: Coll of Computing&Informatics (Col)

     

    Employment Type: Permanent - Full-time

     

    Months Per Year: 9

    Essential Duties and Responsibilities:

    Demonstrate significant accomplishments or outstanding potential in scholarship, teaching, and research, corresponding to the rank of appointment. Candidates for tenured positions must demonstrate a track record of industry/government/academic collaborations.

     

    Develop and sustain nationally and internationally recognized, externally funded research programs as evidenced by high-quality publications.

     

    Successful mentoring of students, innovation and entrepreneurship activities.

     

    Contribute to teaching and curriculum development at both the graduate and undergraduate levels.

     

    Participate in selected University initiatives.

    Minimum Experience / Education:

    UNC Charlotte gives primary consideration to the earned doctorate or terminal degree in the teaching discipline or a related discipline.

    Preferred Education Skills and Experience:

    Ph.D. degree in a computer science or computer engineering or another closely related field

     

    Have a background aligning with one of the listed research foci.

    Prefer the candidates with foundational, use-inspired, and/or transdisciplinary research interests in:

    1. Modern and future Computing systems, including photonic and quantum computing, analog neuromorphic computing, combinatorial algorithms, and continuous optimization.

    2. Modern software systems, including auto-coding and code analytics, dependability, security, open-source eco-systems, and software supply chain management.

    3. Security, privacy, resiliency, and intelligence in future smart environments such as healthcare, manufacturing, and power systems.

    4. Machine Learning/Computer Vision for Robotics, including symbiotic intelligence and foundational models for scene understanding and manipulation.

    5. Machine learning and systems, including hardware acceleration, energy-efficient cloud designs, federated learning, and distributed computing.