"Postdoctoral Research Associate - LTI - School of Computer Science"

Carnegie Mellon University is a private, global research university that stands among the world's most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!

The Language Technologies Institute (LTI) at Carnegie Mellon University is a world-renowned research and education hub at the forefront of natural language processing, machine learning, artificial intelligence, and human-computer interaction. Established within the School of Computer Science, LTI pioneers innovative approaches to understanding, processing, and generating human language in both written and spoken forms.

We are seeking a Postdoctoral Researcher to perform work in the field of far-field speech processing. This position focuses on developing machine learning frameworks that enable robots to navigate complex human environments, and build longitudinal relationships which require personalization.

Core Responsibilities:

• Modeling of social interaction
• Research and design multi-modal foundation models to enhance robot autonomy, social perception and collaborative decision making
• Design and build machine learning algorithms and frameworks for robots to follow
• Research evaluation methods
• Performs other duties as assigned.

Flexibility and cultural sensitivity are valued proficiencies at CMU. Therefore, we are in search of a team member who can optimally interact with a varied population of diverse audiences. We are looking for someone who shares our values and who will support the mission of the university through their work.

Qualifications:

• PhD in Computer Science, AI, Machine Learning, Computer Engineer or a related field.
• Strong background in machine learning and machine learning frameworks
• Proficiency in Python and deep learning frameworks
• A combination of education and meaningful experience from which comparable knowledge is proven may be considered.

Location: Pittsburgh, PA

Job Function: Pre/Post-Doctoral Associates & Fellows

Position Type: Postdoctoral Associate / Fellow (Fixed Term)

Full Time/Part time: Full time

Pay Basis: Salary