The Heinz College of Information Systems and Public Policy at Carnegie Mellon University is seeking qualified candidates for the open position of Assistant Teaching Professor of Applied AI and Data Science. Our students are primarily at the masters level, with a diverse range of education and backgrounds.  

We invite academics or professionals with a passion for teaching and experience in applying and instilling modern data science practices. These practices include the design, deployment, and operationalization of AI and data science solutions from inception to implementation. 

The instructor will be responsible for developing and communicating culturally responsive and inclusive coursework and objectively assessing student performance. The instructor will design and oversee student projects and play an active role in meta curricular activities like  advising students, supporting curricular advancement, clubs, and competitions. 

The ideal candidate will have a strong foundation in applying data science practices to address business and societal problems. 

Key Responsibilities:

Teach Machine Learning:

• Teach students to implement, optimize, and evaluate machine learning workflows using relevant Python libraries. Emphasize end-to-end practices, from data preprocessing and model training to deployment and monitoring in real-world systems.

• Instruct students in modern AI techniques for unstructured data analysis, including generative AI approaches such as retrieval-augmented generation (RAG), fine-tuning, and transfer learning. 

• Introduce students to the use of open-source models for processing and analyzing unstructured data, including text, images, and multimedia.

• Teach students the strengths and limitations of traditional analytics techniques. Guide students in selecting the appropriate technique in addressing business, policy, and societal challenges.

• Apply feature engineering methods to different types of data to improve the performance of machine learning models.

• Guide students in choosing appropriate models for datasets by evaluating their performance and understanding the advantages and disadvantages of each.

• Analyze and describe the societal impacts of machine learning methods implemented in real-world datasets, considering ethics, bias, and fairness.

• Leverage data storytelling techniques to report insights on machine learning model outputs.

We invite academics or professionals with experience applying modern data analytics techniques to real world problems. This full-time, teaching-track position is a unique opportunity to join one of the most respected research universities in the world. The Heinz College offers a collegial and intellectually stimulating environment at the intersection of people, policy, and technology. We are looking for an individual committed to instilling analytical and evidence-based practices to our students at Heinz College and across Carnegie Mellon University.

We prepare students to understand and leverage technology responsibly to effect change in business and society. Our students are trained  to collect and analyze data in pursuit of positive transformation. We teach a set of data governance and analytical skills with a focus on the effectiveness, equity, and integrity in the decision process and its ramifications. Armed with this unique set of skills, Heinz College graduates are in great demand across all sectors of the economy.

• Experience in having applied data science techniques in real world settings

• Proficiency in using Python development environments

• Strong understanding of machine learning concepts and techniques

• Excellent communication and interpersonal skills

• Ability to develop and deliver engaging course materials

• Commitment to fostering an inclusive classroom environment that values diverse perspectives

• An advanced degree in a STEM field or equivalent professional or teaching experience

• Interest in applying advanced analytical practices for societal benefit

Carnegie Mellon University is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information.  Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders. Consistent with this commitment, Carnegie Mellon will no longer be requiring or considering applicant diversity statements. If you are interested in this position and have not yet submitted a diversity statement, please do not do so. If you have already submitted a diversity statement, please know that any diversity statements submitted by applicants for this opportunity will not be considered in the hiring decision.

About Carnegie Mellon University

Carnegie Mellon (www.cmu.edu) is a private, internationally ranked research university with programs in areas ranging from science, technology and business, to public policy, the humanities and the arts. More than 12,000 students in the university’s seven schools and colleges benefit from a small student-to-faculty ratio and an education characterized by its focus on creating and implementing solutions for real problems, interdisciplinary collaboration and innovation. A global university, Carnegie Mellon’s main campus in the United States is in Pittsburgh, Pa. It has campuses in California’s Silicon Valley and Qatar, and programs in Africa, Asia, Australia, Europe and Mexico.

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