PhD Researcher: Data Analytics and Graph Transformer Networks
1 dia atrás
Job Overview
Ecole Polytechnique is a leading institution in higher education and research, seeking a PhD researcher to contribute to the development of innovative data analytics solutions.
Key Responsibilities
- Develop foundational models for relational algebra using Graph Transformer Networks (GTNs)
- Pioneer novel representation learning paradigms for non-SQL tasks, such as machine learning workloads
- Fine-tune models for diverse user workloads and apply them to optimize cloud analytics workloads
About the Project
This PhD project aims to address the challenge of developing universal modeling approaches that effectively generalize across millions of cloud users. The project will take a deep dive into GTN architectures, innovating new methods tailored to relational algebra requirements. Self-supervised learning techniques will be developed to scale training effectively, and novel optimizations will be explored to accelerate training while reducing computational complexity.
About Ecole Polytechnique
Ecole Polytechnique is a French public institution located in Palaiseau, 30 minutes southwest of Paris. It is considered the most prestigious engineering school in France, with well-known educational programs in science and engineering. The institution has a collaborative environment with experts on big data, machine learning, statistics, and distributed systems.
Requirements
- Master's degree in Computer Science or Data Science
- Strong background in data analytics and machine learning
- Proficiency in SQL queries, good understanding of neural networks, and solid implementation skills in Python
- Prior research experience preferred
Benefits
The selected candidate will have the opportunity to conduct research in a dynamic environment with access to state-of-the-art facilities. A competitive salary of approximately €35,000 per annum is offered, commensurate with qualifications and experience.
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