Adjunct Instructor Department of Electrical Engneering and Computer Science

Profile

CURRENT UC EMPLOYEES MUST APPLY INTERNALLY VIA SUCCESSFACTORS > HTTP://BIT.LY/UCEMPL

 

YOU ARE INVITED TO SUBMIT AN APPLICATION TO BE INCLUDED IN THE GENERAL POOL OF CANDIDATES FROM WHICH QUALIFIED FACULTY ROLES WILL BE FILLED. THE NUMBER OF POSITIONS VARIES DEPENDING ON THE NEEDS OF THE DEPARTMENT AND THERE IS NO GUARANTEE THAT AN OPEN POSITION CURRENTLY EXISTS. APPOINTMENTS ARE RENEWED BASED ON DEPARTMENTAL NEED AND TEACHING PERFORMANCE. CLASSES MAY BE DAY OR EVENING. RANK AND COMPENSATION ARE BASED ON EXPERIENCE AND ACADEMIC CREDENTIALS.

 

Founded in 1819, the University of Cincinnati embarks upon its third century - building on the past and defining the future by leading urban, public universities into a new era of innovation and impact through its strategic direction, Next Lives Here. Underscoring the power of creativity, ingenuity, invention and inclusion, what's Next will accelerate our unrivaled momentum, evidenced by eight straight years of record enrollment and rankings that include placement among America's top 100 public universities by U.S. News & World Report. Home to a diverse student body of nearly 47,000 and more than 4,200 distinguished faculty, the university combines its Research 1 (Very High Research Activity) Carnegie Classification with a physical setting that The New York Times recently acclaimed as the most ambitious campus design program in the country.

 

JOB OVERVIEW

The Department of Electrical Engineering and Computer Science (EECS), in the College of Engineering and Applied Science (CEAS) at the University of Cincinnati (UC) invites you to apply for the position of Term-Adjunct (part-time) faculty positions. Rank and compensation are based on experience and academic credentials.

 

EECS is looking for qualified professionals and educators to be included in the general pool of candidates for Term Adjunct Instructor positions as needed.  EECS is especially looking for candidates with expertise in the following areas: Artificial Intelligence, Database, Data Analytics, Data Mining, Machine Learning (Deep Learning), and Could Computing. Courses are taught at all levels from undergraduate to graduate (master's and doctoral). Duties include teaching courses in Electrical Engineering, Electrical/Computer Engineering Technology, Computer Engineering and/or Computer Science.

ESSENTIAL FUNCTIONS

*Teaching is assigned on an as-needed, semester by semester basis.  *Adjunct faculty members will be expected to use the course management system  to conform to UC standards for instruction/courses, and operate within program expectations for specific courses.  *Office hours (can be virtual) are required to meet with students as needed. 

MINIMUM REQUIREMENTS

Masters of Science degree in Electrical Engineering, Computer Science, Computer Engineering or related field or a Bachelor of Science degree with at least 10 years of relevant work experience.

APPLICATION PROCESS

Upload current CV/resume and cover letter to your application.

 

Candidates must be eligible to work in the United States.  This position does not provide visa sponsorship.

 

FOR ALL FACULTY HIRES OFFICIAL ACADEMIC TRANSCRIPTS WILL BE REQUIRED AT THE TIME OF HIRE

 

The University of Cincinnati, as a multi-national and culturally diverse university, is committed to providing an inclusive, equitable and diverse place of learning and employment. As part of a complete job application you will be asked to include a CONTRIBUTION TO DIVERSITY AND INCLUSION statement.

 

As a UC employee, and an employee of an Ohio public institution, if hired you will not contribute to the federal Social Security system, other than contributions to Medicare. Instead, UC employees have the option to contribute to a state retirement plan (OPERS, STRS) or an alternative retirement plan (ARP).

 

THE UNIVERSITY OF CINCINNATI IS AN AFFIRMATIVE ACTION / EQUAL OPPORTUNITY EMPLOYER / MINORITY / FEMALE / DISABILITY / VETERAN.

 

REQ: 72241 

SF:OMJ SF:RM SF:HEJ, SF:INS SF:HERC SF:DIV SF:LJN

Company info

The University of Cincinnati
Website : http://www.uc.edu