Research Fellow (Statistics and Data Science)
External
National University Of Singapore · Lower Kent Ridge Road, SingaporePrepare for this interview
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Requirements
- 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
- 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
Additional Information
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-%28Statistics-and-Data-Science%29/33447-en_GB/?st=DDCF370D747A170FC6C5B7C7D0F8F5BB9E65FE37 We regret that only shortlisted candidates will be notified. Job Description The successful candidate will work with Assoc. Prof. 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 at conferences Qualifications / Discipline: - PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields
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