"Assistant Professor in Data Science - Fall 2026"

The University of Southern Maine’s Department of Computer Science invites applications for a full-time, tenure-track position at the rank of Assistant Professor to begin in Fall 2026. We are seeking a dynamic and innovative teacher-scholar with expertise in areas such as machine learning, cloud computing, big data analytics, or applied statistics. This is an in-person position based on our Portland campus. The successful candidate will contribute to the development of our growing undergraduate and graduate data science programs, teach a 3-3 load, and engage in impactful research that includes mentoring graduate and undergraduate students. We are particularly interested in individuals who are committed to interdisciplinary collaboration and fostering strong connections with local industry and community organizations.

About the Department of Computer Science: The Department of Computer Science at the University of Southern Maine offers a rigorous and innovative curriculum that prepares students for careers in software development, cybersecurity, data science, and related fields. With a strong emphasis on experiential learning, faculty mentorship, and industry collaboration, the department provides students with the technical skills and real-world experience needed to thrive in today’s technology-driven landscape. The department is committed to fostering a supportive, inclusive environment that encourages creativity, critical thinking, and lifelong learning.

About the University: The University of Southern Maine is a vibrant academic community located in the greater Portland, Maine area, including campuses in Portland, Gorham, Lewiston, and online. USM is part of the University of Maine System and offers a comprehensive array of undergraduate and graduate programs, emphasizing hands-on learning, community engagement, and interdisciplinary collaboration. With a highly engaged student-centered learning environment, USM is a steward of higher education, helping drive the economic, cultural, and civic life in the communities where our campuses are located and beyond. USM is committed to providing expanded access to high-quality education that elevates economic opportunity and contributes significantly to the vitality of a diverse society.

The targeted starting date for this position is Fall 2026 and will pay a base salary of $90,000 plus benefits. When hired, candidates must reside within a 90-minute commutable distance from the USM campuses.

Required Qualifications: Ph.D. in Data Science, Mathematics, Statistics, or a closely related field from an accredited institution. Evidence of ongoing research activities related to data science, statistics, operations research, or other computing fields. Excellence in teaching data science through diverse methodologies that promote active learning and integrate technology to enhance the learning experience. Experience with relevant software such as SQL, R, Python, or other relevant programming languages. Demonstrated expertise in one or more core data science areas, such as machine learning, artificial intelligence, cloud computing platforms (e.g., AWS, Azure, GCP) with big data technologies (e.g., Spark, Hadoop), data security, data ethics, statistics, and causal inference. Applicants should demonstrate a commitment to effectively work with and engage a diverse student population and evidence of how they would successfully mentor students.

Preferred Qualifications: Broadly trained, with the ability to teach a wide range of data science courses. Familiarity with data science education principles and practices. Familiarity with the Curriculum Guidelines for Undergraduate Programs in Data Science. A record of or a plan for grant and contract acquisition (both independent and collaborative). Experience with interdisciplinary research and/or collaborations. Plans to actively engage graduate and undergraduate students in research projects. Experience teaching online courses in both synchronous and asynchronous formats.

How to Apply: Please click on the ‘Apply Now’ button or visit USM Careers and submit the following materials: Cover Letter, Curriculum vitae, A research statement that describes current and future work and research possibilities with students, A statement describing your experience mentoring and/or working with students, A teaching philosophy describing how you plan to engage and interact with students, Contact information for three references. We will begin reviewing candidate packages immediately. To ensure full consideration, materials should be submitted by October 1, 2025.