Princeton's robust faculty search process attracts dynamic global scholars with a passion for big ideas. Princeton University's robust faculty search process attracts visionary talent renowned globally for the impact of their teaching and research. A community of big-picture thinkers, we further discovery and innovation in the academy with the conviction that our faculty make a positive difference in the lives of others far and wide. More than an investment of time or resources, your search can define the future of your department and field. The resources here will position you and your committee for lasting impact. Faculty Search Resources In addition to the guidance found in the resources below, search officers will be sent a brief PowerPoint presentation that outlines their responsiblities and includes AHIRE platform instructions. Brief Guide for Faculty Search Chairs & Committees Find talent wherever it may be, from all sectors of society and from across the globe. A fair and inclusive search for talent should yield a more diverse and competitive pool of applicants. Best Practices Guide for Faculty Search Officers and Search Committees Review expected protocols and best practices, with an emphasis on strategic methods to conduct efficient, effective, fair, and consistent searches that yield an excellent pool of candidates. Questions that May and May Not Be Asked in Interviews Be aware of these guidelines to acceptable interview questions and follow them in both spirit and letter to ensure a successful meeting with your candidate. Target of Opportunity Program ODOF supports the University’s core research and teaching mission by providing flexibility for departments to pursue talented scholars who contribute to the University’s excellence through innovations in the curriculum and excellence in teaching and mentoring. For details, contact Deputy Dean of the Faculty Toni Turano. Related links Family-Friendly Policies and Programs Related documents Advertising and Recruiting Resources Bibliography on Bias and Stereotyping in Search Processes
