Overview
The University of Ghent is offering three fully funded PhD fellowships within its KERMIT research unit, which focuses on knowledge-based systems. This initiative is part of a broader investment by the Flemish government aimed at enhancing research in artificial intelligence. The fellowships present a significant opportunity for candidates interested in advancing their careers in machine learning.
Background & Relevance
Machine learning is a rapidly evolving field that plays a crucial role in various applications, including data analysis, predictive modeling, and artificial intelligence systems. The research areas covered by these fellowships—extreme classification, pairwise learning, and metric learning—are essential for addressing complex challenges in AI. As industries increasingly rely on intelligent systems, the demand for innovative research in these domains continues to grow.
Key Details
- Positions Available: 3 fully funded PhD fellowships
- Research Areas:
- Extreme Classification
- Pairwise Learning
- Metric Learning
- Supervisors:
- Prof. Bernard De Baets
- Prof. Willem Waegeman
- Dr. Michiel Stock
- Dr. Bac Nguyen Cong
- Application Link: Apply Here
Eligibility & Participation
Candidates with a Master’s degree in Computer Science, Mathematics, Statistics, Physics, or a related field are encouraged to apply. The program welcomes applicants from outside Belgium, making it an international opportunity. A strong interest in fundamental machine learning research and practical applications is essential. Proficiency in at least one programming language (such as Matlab, R, Python, Julia, or Java) is required, along with fluency in English. Knowledge of Dutch is beneficial but not mandatory.
Submission or Application Guidelines
To apply for the fellowships, candidates should follow these steps:
1. Visit the application link provided above.
2. Prepare the necessary documents showcasing academic qualifications and research interests.
3. Submit the application as per the instructions on the website.
Additional Context / Real-World Relevance
The research conducted through these fellowships will contribute to the advancement of machine learning methodologies, particularly in areas that require innovative approaches to classification and learning. The outcomes of this research have the potential to impact various sectors, including healthcare, finance, and technology, where effective decision-making and predictive capabilities are crucial.
Conclusion
This is a remarkable opportunity for aspiring researchers to engage in cutting-edge machine learning projects at the University of Ghent. Interested candidates are encouraged to apply and take part in this exciting journey in the field of artificial intelligence.
Category: PhD & Postdoc Positions
Tags: machine learning, phd, university of ghent, metric learning, pairwise learning, extreme classification, artificial intelligence, data science
