Doctoral Student in AI

1 day ago


Stockholm, Stockholm, Sweden KTH Royal Institute of Technology Full time
About the Project

Our research project focuses on developing a social robot that can interact with humans in a natural and intuitive way. The robot will use a combination of natural language processing, computer vision, and machine learning to understand and respond to human inputs. Our goal is to create a system that can adapt to different situations and contexts, enabling applications in areas such as education, healthcare, and customer service.

Key Challenges

Some of the key challenges within our project include:
  • Developing a robust NLP system for understanding human language
  • Designing a user-friendly interface for human-robot interaction
  • Implementing a machine learning algorithm to enable the robot to learn from experience
  • Evaluating the effectiveness of the system in real-world settings

Your Role

As a PhD candidate in our group, you will play a key role in advancing our research project. Your primary responsibilities will include:
  • Designing and implementing the NLP system
  • Developing the user interface and user experience
  • Implementing the machine learning algorithm
  • Evaluating the effectiveness of the system

Requirements

To be eligible for this position, you must have a Master's degree in Computer Science, Electrical Engineering, or a related field, as well as excellent programming skills in languages such as Python or C++. You should also have a strong background in mathematics and statistics, as well as experience with machine learning algorithms and techniques.

In addition to these technical requirements, we seek candidates who are passionate about research and have excellent communication and teamwork skills. Experience with robotic platforms, sensor systems, and data analysis tools is highly desirable.

Benefits

As a doctoral student at KTH Royal Institute of Technology, you will receive a competitive salary and benefits package, including access to state-of-the-art research facilities, funding for conference travel and publication fees, and opportunities for professional development and networking.

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