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Project description

The Department of Speech, Music and Hearing at KTH School of Electrical Engineering and Computer Science is seeking a PhD student for a new project titled "Anticipatory Control in Conversational Human-Robot Interaction". The project, funded by the Swedish AI-program WASP, focuses on developing generic language models for human-robot interaction using self-supervised learning. The aim is to predict and anticipate human behavior in real-time, improving overall interaction. Unlike traditional language models, this project aims to model multi-modal conversation, processing text, audio, and video. The research will involve collaboration with industries and other projects to explore the model's application in social robotic contexts. The position includes a small portion of departmental duties, such as teaching.

Admission requirements

• Completed second cycle degree (for example, a master's degree), or course requirements of at least 240 higher education credits, with a minimum of 60 second-cycle higher education credits, or substantially equivalent knowledge acquired within or outside the country.
• Proficiency in programming and experience in machine learning.
• Excellent English proficiency, both in writing and speaking, for presenting research results.
• A Master's degree (or equivalent) in a field relevant to the research, such as computer science or language technology.
• Proficiency in English equivalent to English B/6.

No deadline, but please apply as soon as possible!

Key Responsibilities:

• Design and implement data models

• Work closely with stakeholders to identify data requirements

• Develop and maintain data dictionaries, data models and other data-related documentation

• Identify opportunities to improve data quality and accuracy

• Work with machine learning models to derive insights and predictive analytics

• Develop and maintain ETL processes to facilitate data integration and transformation

• Stay up-to-date with emerging technologies, industry trends, and best practices

Requirements:

• Strong experience in data modeling and machine learning

• Experience in designing and implementing complex data models

• Strong proficiency in SQL and other database management systems

• Experience with machine learning frameworks such as TensorFlow, Keras or PyTorch

• Strong understanding of data governance, data quality, and data management

• Excellent communication and collaboration skills

• Ability to work independently and as part of a team

• Strong analytical and problem-solving skills