Research Fellow (Statistics and Data Science)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-(Statistics-and-Data-Science)/34897-en_GB/?st=79DCD4DB2A3F9CC4A99A2BDF32695CCBE970D449

We regret that only shortlisted candidates will be notified.

The successful candidate will work with A/Prof Alexandre THIERY on representation learning and high-dimensional time series under a project on particle methods for data-assimilation.

• 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