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NtuResearch Assistant (Sparse Boosting and Spatial Data Analytics)
NTU Main Campusonsite
Posted today · via Workday
About this role
The School of Physical and Mathematical Sciences at NTU Singapore conducts research and education across the physical and mathematical sciences. The Division of Mathematical Sciences is seeking a Research Assistant to support an AcRF Tier 1 project on sparse boosting for high-dimensional spatial autoregressive models. The successful candidate will contribute to methodological development, simulations, computational implementation, real-data applications, and preparation of reproducible research outputs. Key Responsibilities: Develop and implement sparse boosting methods for high-dimensional spatial models. Conduct simulation studies, benchmarking, robustness checks, and computational optimisation.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, r
2
Level fit
We check your title trajectory against the seniority signal of the role.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in NTU Main Campus. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonr
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