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Doctoral student in Artificial intelligence, Human-robot interaction

🌍 KTH, Stockholm


Apply before 2023-06-08

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.

🌍 Amoria Bond, STOCKHOLM


No deadline, but please apply as soon as possible!

Key Responsibilities:

β€’ Design and implement data models

β€’ Work closely with stakeholders to identify data requirements

β€’ Develop and maintain data dictionaries, data models and other data-related documentation

β€’ Identify opportunities to improve data quality and accuracy

β€’ Work with machine learning models to derive insights and predictive analytics

β€’ Develop and maintain ETL processes to facilitate data integration and transformation

β€’ Stay up-to-date with emerging technologies, industry trends, and best practices


β€’ Strong experience in data modeling and machine learning

β€’ Experience in designing and implementing complex data models

β€’ Strong proficiency in SQL and other database management systems

β€’ Experience with machine learning frameworks such as TensorFlow, Keras or PyTorch

β€’ Strong understanding of data governance, data quality, and data management

β€’ Excellent communication and collaboration skills

β€’ Ability to work independently and as part of a team

β€’ Strong analytical and problem-solving skills