Description

As an Assistant Professor, responsibilities include teaching, research, and service in the Department of Electrical Engineering and Computer Science. 

Specifically, this position will conduct research leading to scholarly publications in robotics and autonomous systems, broadly defined. Additionally, they will be expected to write proposals to obtain external funding, establish an independent research program supported by external funding; develop graduate and undergraduate courses; provide curriculum material; construct syllabi; provide classroom instruction; write and administer exams; prepare and evaluate students; mentor students; serve on various faculty and student-oriented committees; exhibit participation and leadership in related professional societies; and participate in the faculty decision-making for the Department of Electrical Engineering and Computer Science.

For this position, the Department of Electrical Engineering and Computer Science is seeking candidates with expertise in robotics, human-robot interaction, robot sensing & perception and autonomous systems. Areas of expertise may include, but are not limited to, artificial intelligence, machine learning, and pattern recognition; collaborative robotics, machine vision, sensing, computation, and communications; prosthetics, rehabilitative systems, and soft robotics; industrial automation, control systems, human-robot augmentation, and other emerging areas related to robotics and autonomous systems.

Regular, reliable, and non-disruptive attendance is an essential job duty, as is the ability to create and maintain collegial, harmonious working relationships with others.

Requirements

Minimum Qualifications:

• Ph.D. in Computer Science, Computer or Electrical Engineering, or a closely related discipline by the start of employment.
• Research expertise in areas of robotics, human-robot interaction, robot sensing & perception, and autonomous systems, covering both theoretical and experimental aspects.
• Must present a promising track record in scholarship through refereed publications in conferences and/or journals.
• Demonstrated interest in teaching and mentoring undergraduate and graduate students.

 Preferred Qualifications:

• Significant theoretical and/or experimental contributions to one or more of the following topics: artificial intelligence, machine learning, and pattern recognition; collaborative robotics, machine vision, sensing, computation, and communications; prosthetics, rehabilitative systems, and soft robotics; industrial automation, control systems, human-robot augmentation, and other emerging areas related to robotics and autonomous systems.
• Experience teaching the fields of artificial intelligence, machine learning, embedded systems, software engineering, digital circuit design, or related courses in an accredited, higher education environment.
• Exposure to writing grant proposals.