Learning Experience Researcher - School of Computer Science - HCII

Carnegie Mellon University is a private, global research university that challenges the curious and hardworking to deliver work that matters. Our extraordinary institution has distinctive areas of excellence and a culture marked by ambition and a deep, practical engagement with challenges facing society. We continue to produce dedicated alumni and draw faculty and staff eager to be a part of the university's creative, dedicated and close-knit community. We place emphasis on practical problem solving, interdisciplinary learning, a transformative spirit, and collaboration.

The Human-Computer Interaction Institute (HCII) is a living laboratory where we investigate the relationship between computer technology, human activity, and society. Founded in 1993, the HCII is a place where we work to understand and create technology that harmonizes with and improves human capabilities, goals, and social environments through interdisciplinary research and education in design, computer science, and behavioral and social sciences.

Join us as a Research Programmer at Carnegie Mellon's HCI Institute! Assist in research in math tutoring and learning sciences for the PLUS project, which is focused on doubling math learning for middle school students by combining human and AI tutoring. The successful candidate will be passionate about exploring new technologies, solving complex problems, and using technologies in support of our strategic commitment to deliver high-quality educational experiences that transform lives across diverse communities of students.

For this role, we are seeking a highly motivated individual to join our team and contribute to groundbreaking research and product development. All candidates must work individually and as part of multi-site teams, and may also help supervise undergraduate research assistants. Drs. Ken Koedinger and Danielle Thomas will be your mentors. Candidates will also regularly interact with other project faculty, postdocs and PhDs.

• Data Analysis and Model Development: Design, implement, and evaluate machine learning models focusing on improving the effectiveness of the PLUS tutoring system. Contribute to building scalable data pipelines and integrating predictive analytics into tutoring interventions.
• Transcription and Data Preprocessing: Support the preprocessing of audio and video data for research purposes, including assisting with transcription tasks, preparing data for machine learning models, and contributing to automation strategies for data processing.
• Research and Experimentation: Collaborate on designing and conducting experiments to evaluate the impact of combined human and AI tutoring on student learning outcomes. Assist with the analysis of quantitative and qualitative data, and contribute to the preparation of academic publications and presentations.
• System Prototyping and Testing: Support the iterative development of AI-driven tutoring prototypes, including refining algorithms for adaptive learning and personalized feedback. Conduct usability testing with students and educators to inform system improvements.
• Cross-Functional Team Collaboration: Work closely with faculty, postdocs, software engineers, and school partners to ensure seamless integration of research insights into practical educational solutions. Contribute to project meetings and present progress updates to stakeholders.
• Mentoring and Supervision: Assist in mentoring undergraduate research assistants, guiding them on data collection, analysis, and project documentation, ensuring the quality and consistency of their contributions.

Flexibility, excellence, and passion are vital qualities within the School of Computer Science Research Department. Inclusion, collaboration and cultural sensitivity are valued competencies at CMU. Therefore, we are in search of a team member who is able to effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

• Master's degree in Computer Science, Data Science, HCI, Applied Stats, Learning Science, or related discipline
• Proficiency with LLM and transcribing audio data to create LLM's
• Proficiency in applied machine learning (ML), using Python or similar ML framework
• ML and data engineering experience (e.g., model training, efficiency optimization, data pipeline design, ML infrastructure)
• Experience with audio transcription pre-processing a plus
• Interest in AI in education; experience with learning science a plus
• A combination of education and proven experience from which comparable knowledge is demonstrated may be considered

• Successful background investigation may be required.

Joining the CMU team opens the door to an array of exceptional benefits available to eligible employees.

Those employees who are benefits eligible have the opportunity to experience the full spectrum of advantages from comprehensive medical, prescription, dental, and vision insurance to an enticing retirement savings program offering a generous employer contribution. You can also unlock your potential with tuition benefits and take well-deserved breaks with ample paid time off and observed holidays. Finally, rest easy knowing you are covered by life and accidental death and disability insurance.

Other perks include a free Pittsburgh Regional Transit bus pass, our Family Concierge Team to help navigate childcare needs, fitness center access, and so much more!

For a comprehensive overview of the benefits that may beawaiting you, explore our Benefits page.

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond just credentials, we consider the role and responsibilities, your invaluable work experience, and the knowledge gained through education and training. We acknowledge and appreciate your unique skills and the diverse perspective you bring. Your journey with us is about more than just a job; it's about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization?! Apply today!

Location

Job Function

Position Type

Full Time/Part time

Pay Basis

More Information: