PhD Position in Autonomous Systems: Explore the information-theoretic properties of intelligent systems that learn from their environments with this exciting PhD position focusing on Bayesian Intelligent Autonomous Systems. Dive into the Active Inference framework to uncover insights into data acquisition protocols and contribute to cutting-edge research in AI systems.
PhD Position in Analysis of Bayesian Intelligent Autonomous Systems
Designation:
PhD Student
Research Area:
Analysis of Bayesian Intelligent Autonomous Systems
Location:
Eindhoven University of Technology, Netherlands
Eligibility/Qualification:
- Master’s degree in Electrical Engineering, Mathematics, Computer Science, or Physics
- Curious and research-oriented mindset
- Ability to work in an interdisciplinary team
- Motivated to develop teaching skills and coach students
- Fluency in spoken and written English (C1 level)
Job Description:
This PhD position delves into the information-theoretic basis of Active Inference, focusing on probabilistic machine learning methods such as Bayesian inference. Collaborate with a research team at the Bayesian Intelligent Autonomous Systems laboratory and work on deriving insights to enhance data acquisition protocols for intelligent agents. Engage with concepts like entropy, mutual information, and divergence measures to optimize the learning process of AI systems.
How to Apply:
To apply for this exciting opportunity, please submit a complete application online via the apply button on the website. Your application should include a cover letter detailing your motivation and qualifications for the position, proof of English proficiency, curriculum vitae with publication list, and copies of diplomas with course grades. For further inquiries, feel free to contact the hiring managers Wouter Kouw or Hamdi Joudeh.
Last Date for Apply:
The vacancy will remain open until the position is filled. Apply now and embark on a fulfilling journey towards researching and advancing Bayesian Intelligent Autonomous Systems at Eindhoven University of Technology.
