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The University of Pennsylvania in Philadelphia invites applications for a Practice Assistant Professor in the Department of Computer and Information Science starting July 2027. The role focuses on teaching undergraduate electives and Master's courses, with an emphasis on software engineering, AI, data science, and cybersecurity.
Candidates should have a PhD in Computer Science or a related field and a demonstrated record of teaching and educational research.
The University of Pennsylvania's Department of Computer andInformation Science is pleased to welcome applications forexperienced teaching faculty under the Practice Professor track. Itis a very exciting time to be engaged in computer science educationat Penn, as we are developing new curricular programming to embraceartificial intelligence's increased role in the field. We are alsodeveloping multiple new on-campus and online learningprograms.
We are seeking dedicated, accomplished, full-time faculty to teachundergraduate electives and Master's-level courses, particularly inareas such as software engineering, artificial intelligence anddata science, theoretical computer science, computer graphics, andcybersecurity, starting in July 2027. We seek individuals whopromote and welcome wide-ranging viewpoints and experiences, andwho will work closely with students of all backgrounds.
As part of teaching-track career path, the Practice AssistantProfessor position seeks teaching-focused faculty members, who havea track strong record of research in engineering education anddeveloping and publishing on innovative pedagogical techniques.Applicants who desire to pursue this track but do not yet have anextensive publication history are encouraged to apply also to ourposting for a Lecturer or Senior Lecturer position.
PhD in Computer Science or relevant discipline.
The University of Pennsylvania is an equal opportunity employer.Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.