Asst/Assoc/Full Professor-Asst/Assoc/Full Scientist AI/ML


University of Kansas
EECS Department

Asst/Assoc/Full Professor-Asst/Assoc/Full Scientist AI/MLElectrical Engr & Comp Science

Job Description:

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 https://diversityrecognition.asee.org/award-recipients/. At the University of Kansas, diversity, equity, inclusion, and belonging are an important part of our culture and university strategic plan. Applications from members of underrepresented groups are encouraged, noting the value that differences bring to our organization, students, staff, faculty, and community. The successful candidate must be eligible to work in the U.S. by the effective date of the appointment.

Required Qualifications:

For the rank of Assistant Professor –

• Earned doctorate in Computer Science, Computer Engineering, Electrical Engineering or a closely related field at the time of appointment.

• Expertise in 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.

• Demonstrated potential for teaching Undergraduate/Graduate level courses at the University level.

• Potential to establish and secure external funding.

For the rank of Associate Professor

• Doctorate in Computer Science, Computer Engineering, Electrical Engineering or a closely related field at the time of appointment.

• Expertise in 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.

• Proven record for teaching Undergraduate/Graduate level courses at the University level.

• Demonstrated ability to establish and secure external funding.

For the rank of Full Professor –

• Doctorate in Computer Science, Computer Engineering, Electrical Engineering or a closely related field at the time of appointment.

• Expertise in 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.

• Proven record for teaching Undergraduate/Graduate level courses at the University level.

• Strong record of established externally funded research.

To apply, and for more information: https://apptrkr.com/3595322

Application Review Begins: 02-Nov-2022

Anticipated Start Date: 18-Aug-2023