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Job Description
The successful candidate will work with Assoc Professor Alexandre THIERY on representation learning and high-dimensional time series under a project on particle methods for data-assimilation.
The main responsibilities of the position include:
• Methodology development
• Implementation of the methods
• Publication in journals and conferences
• Presentation of work in conferences
Qualifications
Qualifications / Discipline:
- PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields
Skills:
- Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
- Strong background in statistical modeling and machine learning
- Proven ability to develop and implement complex algorithms
- Excellent written and verbal communication skills
- Capable of conducting independent research and working collaboratively
Experience:
- Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
- Demonstrated experience in developing novel methodologies in representation learning
- Strong record of presenting at international conferences and workshops
