Faculty Professor Teaching Assistant - Full-Time

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.

Since 2017, SCI has recruited nearly forty new faculty members, and we are continuing our growth with openings in the tenure and appointment streams this year.

SCI places a strong emphasis on diversity, social justice, and inclusive excellence, and we are actively seeking faculty colleagues who share a deep commitment to these principles and contribute to the broadening of participation in computing through their research, education, service, engagement, and lived experiences.

We promote an equitable and inclusive community through faculty development and mentorship, promotion of work-life balance, a program for dual-career couples, and a commitment to recruit, retain, and develop faculty from diverse backgrounds and experiences.

Appointment-Stream Position

We invite applications for Teaching Assistant Professors in the fields of computer science and data science, with an anticipated start date in Fall 2024.

We are seeking candidates who are enthusiastic about employing pedagogical approaches and inclusive practices in teaching computer science and data science.

In computer science, we seek candidates who can contribute to Software Engineering, Cloud Computing, Mathematical and Statistical Foundations of Computing, Quantum Computing, High-Performance Computing, Theory and Algorithms, Artificial Intelligence, and Databases.

For data science, we are looking for candidates who can play a vital role in supporting the growth of the School's Applied Data-Driven Methods graduate certificate, actively engage in our interdisciplinary undergraduate data science program, and contribute to the creation of new professional graduate pathways.

For both computer science and data science, there are numerous opportunities to innovate curriculum, teach courses, and participate in interdisciplinary academic programs.

The Teaching Assistant Professor position falls within the Appointment Stream at the University of Pittsburgh and has a strong focus on teaching and curriculum within the School of Computing and Information.

Appointment Stream faculty are an integral part of our mission and participate fully in faculty life and responsibilities.

Appointment-stream faculty have long-term career advancement opportunities that mirror tenure-track faculty lines. They fully participate in the School and University and are encouraged to contribute to new curricula, School governance, and the mentorship of students.

Our classes span the full spectrum of computer science and data science such as machine learning, systems, artificial intelligence, algorithms, databases, data analytics, computer vision, graphics, gaming, modeling, natural language processing, and many others.

We are looking for candidates enthusiastic to continue the Pitt tradition of excellence in the interdisciplinary, collaborative environment, and leveraging resources within our departments / school and beyond to form a successful teaching agenda and as appropriate, a research agenda centered around students and experiential learning through research.

Minimum required qualifications

• Candidates should hold a PhD in computer science, information science, data science, or a closely related area
• Candidates should hold the Ph.D. degree by September 1, 2024

Preferred Qualifications

• Demonstrated excellence in teaching effectiveness
• Served as the primary instructor for computer science or data science courses
• Experience in developing courses, creating new curriculum, and innovating pedagogy
• For the data science position : experience in online curriculum and teaching
• Proficiency with student extra-curricular activities and inclusive education teaching

We have other faculty openings in the tenure and appointment streams. Please see https : / / sci.pitt.edu / recruiting for more details.

Application Process

Individuals interested in the opening may apply at https : / / sci.pitt.edu / recruiting . A completed application includes a cover letter, curriculum vitae, teaching statement, statement of commitment to creating a diverse and inclusive community, and the names and contact information of at least three recommenders.

If desired, a research statement may also be submitted.

Application reviews will begin immediately. For best consideration, please apply by March 1, 2024. We anticipate that on-campus interviews will begin in February 2024.

The anticipated start date is September 1, 2024. Questions about the search and / or application status should be emailed to [email protected] .

Application ProcessIndividuals interested in these openings may apply at https : / / sci.pitt.edu / recruiting. Please provide the following :

• A cover letter that reflects on your interest,
• a curriculum vitae,* a teaching statement describing your teaching philosophy,* a diversity statement that highlights your experiences with diversity in teaching as well as service, and your potential to support SCI's commitment to building and fostering an inclusive environment,* the names and contact information for at least three recommenders, and* teaching evaluations, if availableApplication reviews will begin immediately.

For best consideration, please apply by March 1, 2024. We anticipate on campus interviews will begin in February 2024. The anticipated start date is September 1, 2024.

Questions about the search and / or application status should be emailed to [email protected].

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.

Please see job description

PI251128098