Assistant Professor - Engineering
University of Arkansas
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Closing Date:
Type of Position:
Faculty - Tenure/Tenure Track
Workstudy Position:
Job Type:
Regular
Work Shift:
Sponsorship Available:
Institution Name:
University of Arkansas, FayettevilleFounded in 1871, the University of Arkansas is a land grant institution, classified by the Carnegie Foundation among the nation’s top 2 percent of universities with the highest level of research activity. The University of Arkansas works to advance Arkansas and build a better world through education, research and outreach by providing transformational opportunities and skills, promoting an inclusive and diverse culture and climate, and nurturing creativity, discovery and the spread of new ideas and innovations.
The University of Arkansas campus is located in Fayetteville, a welcoming community ranked as one of the best places to live in the U.S. The growing region surrounding Fayetteville is home to numerous Fortune 500 companies and one of the nation’s strongest economies. Northwest Arkansas is also quickly gaining a national reputation for its focus on the arts and overall quality of life.
As an employer, the University of Arkansas offers a vibrant work environment and a workplace culture that promotes a healthy work-life balance. The benefits package includes university contributions to health, dental, life and disability insurance, tuition waivers for employees and their families, 12 official holidays, immediate leave accrual, and a choice of retirement programs with university contributions ranging from 5 to 10% of employee salary.
Below you will find the details for the position including any supplementary documentation and questions, you should review before applying for the opening.
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Department:
Electrical Engineering and Computer Science
Department's Website:
Summary of Job Duties:
As an Assistant Professor, responsibilities include teaching, research, and service in the Department of Electrical Engineering and Computer Science. This position is a 100% appointed, 9-month, tenure track position. 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.
Qualifications:
Minimum Qualifications:
Ph.D. in Computer Science, Computer or Electrical Engineering, or a closely related discipline from an accredited institution of higher education, conferred 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
Additional Information:
Salary Information:
Required Documents to Apply:
Optional Documents:
Recruitment Contact Information:
Department of Electrical Engineering and Computer Science
800 W Dickson St
3219 Bell Engineering Center
Fayetteville, AR 72701
479-575-3008
All application materials must be uploaded to the University of Arkansas System Career Site https://uasys.wd5.myworkdayjobs.com/UASYS
Please do not send to listed recruitment contact.
Special Instructions to Applicants:
Pre-employment Screening Requirements:
Criminal Background Check, Sex Offender RegistryThe University of Arkansas is committed to providing a safe campus community. We conduct background checks for applicants being considered for employment. Background checks include a criminal background check and a sex offender registry check. For certain positions, there may also be a financial (credit) background check, a Motor Vehicle Registry (MVR) check, and/or drug screening. Required checks are identified in the position listing. A criminal conviction or arrest pending adjudication or adverse financial history information alone shall not disqualify an applicant in the absence of a relationship to the requirements of the position. Background check information will be used in a confidential, non-discriminatory manner consistent with state and federal law.
The University of Arkansas seeks to attract, develop and retain high quality faculty, staff and administrators that consistently display practices and behaviors to advance a culture that embeds inclusion, opportunity, educational excellence and unparalleled access for all.
The University of Arkansas is an equal opportunity, affirmative action institution. The University does not discriminate in its education programs or activities (including in admission and employment) on the basis of age, race, color, national origin, disability, religion, marital or parental status, protected veteran status, military service, genetic information, or sex (including pregnancy, sexual orientation, and gender identity). Federal law prohibits the University from discriminating on these bases. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent to the University's Title IX Coordinator and to the U.S. Department of Education Office for Civil Rights.
Persons must have proof of legal authority to work in the United States on the first day of employment.
All application information is subject to public disclosure under the Arkansas Freedom of Information Act.
