The School of Information Sciences at the University of Pittsburgh welcomes applications for a pool of adjunct faculty, non-tenure track, positions. Applicants will be selected from this pool throughout the Spring 2017 term and 2017-18 and 2018-19 academic years (including summer semesters), when there is curricular need. The number of positions varies from semester to semester, depending on the needs of the School. Position appointments may be renewable based on need, funding, and performance. Please contact Sharon Bindas (firstname.lastname@example.org) with any questions.
Responsibilities: We are seeking outstanding lecturers who can teach a minimum of 15-person sections in our Undergraduate http://www.ischool.pitt.edu/bsis/, Master’s programs in Information Sciences & Technology and Telecommunications & Networking http://www.ischool.pitt.edu/degrees/master.php, and Computer Science https://cs.pitt.edu/
The adjunct faculty will have teaching and/or research experience in at least one of the following areas: Object-Oriented Programming Design of Information Systems Human Factors Human Information Processing User Centered Design Telecom & Networking Artificial Intelligence Data Structures Systems & Network Security Web Systems/Web Programming System & Application Design Data Analytics/Data Mining Database/Database Management Programming with Python Computer Organization and Assembly Language Computer Architecture Systems Software and Software Engineering) Formal Methods in Computer Science Design And Analysis of Algorithms Computer Operating Systems High Performance Computing
The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EEO/AA/M/F/Vets/Disabled
The minimum basic qualification is an advanced degree (Master’s or Ph.D. or equivalent degree) and/or at least five years of relevant professional experience in a technical, social science, or interdisciplinary field such as Information, Information Science, Statistics, Computer Science, Engineering, Political Science, Sociology, Law, or Economics at time of application.
Preferred qualifications include: a record of superior academic or professional performance; the ability to be self-directed with broadly-defined limits on assignments; excellent communication skills, both oral and written; and a demonstrated ability to interact efficiently with diverse people in a highly multidisciplinary environment.
Document Requirements: -Cover Letter -Curriculum Vitae – Your most recently updated C.V. -Statement of Teaching Experience -Transcript of highest degree earned -Statement of Research, Interests, and Experience (Optional) -PDF copy of recent publication (Optional) -PDF copy of recent publication (Optional) -PDF copy of recent publication (Optional) -Statement of Contributions to Diversity – -Statement addressing past and/or potential contributions to diversity through research, teaching, and/or service. (Optional)
Additional Salary Information: The salary will be determined by level of education and experience.