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The Computer Science department at Dartmouth College invites applications for a full-time tenure-track position at the rank of Assistant Professor in the broad area of Applied Machine Learning/AI. This position is designed for candidates who have a strong background in computer science or a closely related field, with a focus on applied machine learning and artificial intelligence. The successful candidate will be expected to contribute to the department's teaching and research missions, engaging with both undergraduate and graduate students. Effective classroom teaching is essential for this position, and applicants should demonstrate a commitment to fostering an inclusive learning environment. Core technical contributions could come from multiple areas, including but not limited to computational health, visual computing, music technology, cybersecurity, neuroscience, Human-Computer Interaction (HCI), Computational Linguistics, and digital arts. The department is particularly interested in candidates who have a track record of publications in CS/machine learning-related fields and who can contribute to Dartmouth's diversity initiatives in STEM research. The Computer Science department is home to 24 tenure-track faculty members and is committed to growing that number by 50% over the next decade. The department is housed in the recently opened Class of 1982 Engineering and Computer Science Center, which provides a modern and collaborative environment for research and teaching. Dartmouth College is committed to academic excellence and encourages the open exchange of ideas within a culture of mutual respect. The successful candidate will be expected to engage in research that advances the field of applied machine learning and AI while also contributing to the department's commitment to diversity and inclusion. Applicants should include a statement that addresses how their research, teaching, service, and/or life experiences prepare them to advance Dartmouth's commitment to diversity in service of academic excellence. The review of applications will begin on December 1, 2024, and will continue until the position is filled.
