Faculty.Professor.Visiting Adjunct at University of Pittsburgh in Pittsburgh, Pennsylvania

Job Description:

Visiting Adjunct Faculty Position

As the University of Pittsburgh’s newest school, the School of Computing and Information (SCI) is a growing interdisciplinary community of faculty, staff, and students who are accustomed to thinking beyond boundaries and innovating new approaches to lead our institution and nation to positive change. SCI’s interdisciplinary and transdisciplinary research and education spans computer science, informatics, networked systems, data science and information culture, and data stewardship with rich connections to partners in education, health sciences, medicine, engineering, social sciences, business, and other areas.

We are conducting a search for a part-time visiting adjunct faculty with a focus on machine learning and data science. The School of Computing and Information is committed to hiring the next generation of faculty who will teach both foundational and elective courses that prepare students for both careers in industry and admission to top graduate programs in various disciplines. As we build and expand the school, it is also crucial that we continue to strengthen our leadership in addressing underrepresentation by fostering a diverse, inclusive, and equitable environment for students, faculty, and staff.

About the Position

At the School of Computing and Information, we pride ourselves on supporting and recognizing our teaching faculty. Our visiting positions are one-year appointments with possible renewal. This position offers exciting opportunities to teach and develop novel undergraduate and graduate programs in computer science, information science, library science, and networked systems, including the rethinking of curricula to reflect emerging concepts, new skills, and the integration of computing and information into other disciplines. We strongly encourage scholars who have experience working with diverse students and have made an investment in embedding inclusion in their teaching. Individuals filling this opening will have a unique opportunity to develop inclusive curricula foundational to an intellectually vibrant and successful academic community.

We are especially looking for candidates whose academic and professional backgrounds include expertise in artificial intelligence, machine learning, large language models, and other data science topics.

Minimal Qualifications

• Applicants must hold a PhD in Computer Science, Information Science, Library Science, or a related area by the time of the appointment.

• Experience with both foundational and applied topics related to artificial intelligence, machine learning, large language models, and other data science topics.

• Demonstrated teaching experience.

Preferred Qualifications

• Ability to bring real-world data science applications and experience to the classroom

• Demonstrate interest and competence in working with participants from diverse backgrounds and share our team’s dedication to equity and social equity.

• 5 to 10 years of work experience.

Application Process

Please provide the following:

• A cover letter that reflects your interest and alignment with SCI’s teaching mission

• A curriculum vitae

Review of applications will begin immediately and will continue until the position has been filled. The anticipated start date is October 1, 2024.

Questions about the search and or application status should be mailed to sbindas@pitt.edu.

The University of Pittsburgh is committed to championing all aspects of diversity, equity, inclusion, and accessibility within our community. This commitment is a fundamental value of the University and is crucial in helping us advance our mission, which includes attracting and retaining diverse workforces. We will continue to create and maintain an environment that allows individuals to discover, belong, contribute, and grow, while honoring the experiences, perspectives, and unique identities of all.

The University of Pittsburgh is an Affirmative Action/Equal Opportunity Employer and values equality of opportunity, human dignity and diversity. EOE, including disability/vets.

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