Faculty: Computer Science, (AI and Machine Learning), Full-Time, Tenure-Track
Salem State University
Overview The of Computer Science department at Salem State University invites applications for a full-time, tenure-track faculty position at the open rank, beginning in Fall 2027. We particularly welcome candidates with expertise in one or more of the following areas: Artificial Intelligence, Machine Learning, and Robotics. The successful candidate will demonstrate a forward-looking vision for the computing field, a strong commitment to effective teaching and student learning in a four-year undergraduate program, and excellent interpersonal and communication skills. Teaching responsibilities will include introductory, intermediate, and advanced courses in computer science and information technology, including courses within one or more of the preferred areas of specialization. The candidate will also be expected to contribute to departmental and university service and to maintain an active program of scholarly or professional development appropriate to the position and rank. What makes Salem State University distinctive isn't just what happens in our classrooms. It's who's in them. Our students are ambitious, diverse and often the first in their families to pursue higher education. Our faculty rise to meet that with rigorous scholarship, thoughtful teaching and a genuine investment in student growth. We're the Commonwealth's Civic Engagement University and a proud Hispanic and Minority-Serving Institution, designations we've earned and take seriously. If you're looking for a collegial academic home where your work truly matters, Salem State delivers. Duties and Responsibilities Candidates are required to perform duties in accordance with MSCA contract. Duties include teaching, advising, scholarship and contributions to continuously improve the department and university. The standard teaching load is 12 credit hours (approximately 4 lecture or lab sections) per semester. The position is subject to available funding. Required Qualifications PhD in computer science or a closely related field. ABD with a master’s degree in computer science or a closely related field are welcome to apply.Conferral is required by May 2027. Experience teaching introductory, intermediate-level, and advanced-level computer science and information technology courses. Experience applying the latest computing technologies into the curriculum. Innovative approaches to teaching one or more of the following: artificial intelligence, machine learning, and robotics. Preferred Qualifications Experience in teaching upper-level computer science and information technology courses. Professional applied experience in computer science/information technology, in general, and artificial intelligence, machine learning, and robotics, in particular. Demonstrated ability and willingness to apply innovative approaches and the latest applied teaching experience; and experience in and a commitment to teaching in a multicultural, multiracial environment with students of diverse backgrounds and learning styles. Working Location This is an onsitepositionin Salem, MA with on-campus, in-person responsibilities. Employment is contingent upon a completed background and CORI check satisfactory to the university. All applicants are encouraged to apply; however, Salem State University cannot guarantee that it will sponsor visas for individuals who are not otherwise authorized to work in the United States. EEO Statement The university considers all qualified candidates without regard to race, color, religion, sex, age, national origin, disability status, veteran status, gender identity, sexual orientation, genetic information, pregnancy or pregnancy-related condition or any other characteristic protected by law. ADA Statement Salem State University complies with the Americans with Disabilities Act (ADA) to provide reasonable accommodation to qualified applicants and employees with disabilities. Foraccommodation information or requests please email View email address on click.appcast.io. #J-18808-Ljbffr Salem State University
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