Cornell University
Application Deadline: 1 November 2024
The Cornell University Department of Information Science (IS) in the Ann S. Bowers College of Computing and Information Science (Bowers CIS) invites applications for full-time, long-term Lecturer or Senior Lecturer positions at Cornell’s Ithaca campus. Cornell University is located in Ithaca, New York, with a county population of about 100,000 people in the heart of the Finger Lakes region. Both Cornell and Ithaca offer a wide range of cultural activities, sports, and outdoor activities with the pleasures of both city and country close at hand.
Our nearly 40 faculty members are leaders in their respective fields within Information Science's interdisciplinary structure, specializing in areas like machine learning, artificial intelligence, human-computer interaction, ubiquitous computing, user-experience design, tech-law policy, and much more. IS is located in Cornell’s Gates Hall and a new building to be completed in 2025 and has strong connections with several other units on campus, including Computer Science, Communication, Economics, Sociology, Science and Technology Studies, Operations Research and Information Engineering, and Cognitive Science. These connections support the IS Department’s mission to advance our understanding of how people and society interact with computing and information.
Teaching faculty hired in these positions will be full-time members of the IS Department; a typical full-time (100%) load for a Lecturer in IS is two courses per semester. Based on candidate qualifications and experience, the initial appointment will be either a three-year (Lecturer) or five-year (Senior Lecturer) appointment. This is a non-tenure track position, but it is a professional teaching career track with the potential for growth, the expectation of renewal, and eventual promotion for Lecturers. The department offers a competitive benefits package and salary. Lecturers play a full and active part in departmental life from curriculum design to voting rights and participation in wider faculty governance and decision-making. Cornell University also seeks to meet the needs of dual career couples, with both its own Dual Career program and membership in the Upstate New York Higher Education Recruitment Consortium to assist with dual career searches.
We are seeking candidates who will contribute to a mix of undergraduate and masters courses in one or more of the wide range of topics covered by IS. Lecturers both develop new courses and teach existing courses. Current courses cover web programming and design; application development; human-computer interaction; information visualization; data science; network science; and information ethics, law, and policy. These courses are taught at both the lower – or upper – level and are offered to smaller (40-50 students) or larger (300+ students) audiences. Candidates with PhDs in Information Science, Computer Science, and related areas are encouraged to apply. More information about the breadth of courses in the department is available at https://infosci.cornell.edu/courses/list-info-sci-courses. Candidates are also encouraged to look at the curricula for the Ithaca campus undergraduate (https://infosci.cornell.edu/undergraduate) and Masters of Professional Studies (https://infosci.cornell.edu/masters/mps) degrees.
Candidates must hold a PhD or equivalent degree by August 2025 and have demonstrated commitment to teaching excellence. Applicants should submit a cover letter, curriculum vita (CV), and a teaching statement that speaks to their experience and evidence of teaching ability, skills, and strengths. We ask applicants for all faculty positions to share their experiences and/or approaches (past, current, or future) to fostering learning, research service, and/or outreach in a diverse community. Applicants may choose to submit a stand-alone statement or embed the information in other parts of their application materials. Application materials should outline aspects of the department’s courses and curricula they see as especially attractive. Candidates may optionally include recent teaching evaluations.
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