We at KTH AI Society strive to bridge the gap between our members and the industry. Itβs quite simple, companies working for the solutions of tomorrow need the talent of today. So below we listed all relevant work opportunities for you to take on new challenges.
For more opportunities, visit our strategic partner, Stockholm AI.
If you want to make a job posting contact us at jobs@kthais.com.
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π KTH, Stockholm
Other
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
π Amoria Bond, STOCKHOLM
Other
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
Requirements:
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