Overview
KU Leuven is inviting applications for two fully funded PhD positions within a newly established research group dedicated to probabilistic machine learning. This initiative emphasizes the significance of uncertainty estimation and generative AI, both of which are critical areas in contemporary research. The focus on these topics aims to enhance the reliability and efficiency of AI models, particularly in applications such as speech recognition.
Background & Relevance
Probabilistic machine learning is an essential field that addresses the inherent uncertainties in data and predictions. By incorporating uncertainty estimates, models can provide more nuanced outputs, which is particularly valuable in applications like speech recognition, where confidence levels can significantly impact user experience. This research area is gaining traction as the demand for trustworthy AI systems increases across various sectors.
Key Details
- Positions Available: 2 PhD candidates
- Location: KU Leuven, Department of Electrical Engineering, Arenberg Campus, Heverlee
- Application Link: Apply Here
- Start Date: Immediate, with positions filled as suitable candidates are found
- Scholarship Duration: 1 year, extendable up to 4 years
Eligibility & Participation
Candidates with a master’s degree in Computer Science, Electrical Engineering, or Artificial Intelligence are encouraged to apply. Ideal applicants should possess a solid understanding of probability theory and machine learning, along with excellent programming skills. Strong communication abilities in English, both written and oral, are essential. Previous experience in related fields such as speech, signal processing, or statistical physics is advantageous.
Submission or Application Guidelines
Interested candidates should submit the following documents:
– CV
– Academic transcripts
– Contact information for 2 or 3 referees
– A motivation letter (maximum 1 page) detailing interest in probabilistic machine learning and relevant experience.
Applications can be submitted through the provided link.
Additional Context / Real-World Relevance
The research conducted at KU Leuven will not only advance theoretical knowledge in probabilistic machine learning but also aim for practical applications that can impact various industries. The focus on uncertainty estimation is particularly relevant in today’s AI landscape, where trustworthiness and reliability are paramount.
Conclusion
This is a remarkable opportunity for aspiring researchers to contribute to cutting-edge work in probabilistic machine learning at a leading European university. Interested individuals are encouraged to apply and join a dynamic research environment that fosters innovation and collaboration.
Category: PhD & Postdoc Positions
Tags: probabilistic ml, ku leuven, machine learning, speech recognition, signal processing, statistical physics, generative ai, uncertainty estimation, deep learning
