Taylor University’s Computer Science and Artificial Intelligence Department invites applications for a full-time, tenure-track Assistant Professor in Artificial Intelligence and Machine Learning. Relevant expertise may come from areas including cybersecurity, data analysis, autonomous systems, expert systems, visual computing, and computational linguistics. The position is anticipated to begin in August 2027, dependent on grant funding. Rank and salary depend on qualifications and experience. The role includes teaching courses in artificial intelligence and machine learning, foundational computer science, and courses connected to other departmental programs, depending on the candidate’s experience. The successful candidate will develop and maintain an active research and scholarship program, including faculty-mentored student scholarship, and participate in advising, faculty governance, professional societies, and professional service. Mission and departmental fit are of primary importance. Candidates must testify to a personal experience of salvation in Jesus Christ, affirm Taylor University’s Statement of Faith, abide by and practice the Life Together Covenant, and agree with and support the University’s Foundational Documents. Taylor’s mission is to develop servant-leaders committed to ministering Christ’s redemptive love, grace, and truth. The department seeks to honor God, pursue excellence, and help students become outstanding computer scientists, exceptional systems analysts, committed Christians, and motivated to serve. The department has eight full-time faculty members and serves students in Computer Science, Artificial Intelligence and Machine Learning, Computer Engineering, Data Science, and Information Systems and Analysis. Department facilities include four computer labs, 170 dual-boot workstations, a cluster, 3D printers, a laser cutter, a CNC machine, and other engineering equipment. The department has taught and actively researched AI for four decades. Faculty and students participate in international trips, funded defense-sector research, and nano-satellite projects supported by government and private agencies.
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Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree