AI ApplydAIAPPLYD

Research Assistant (Sparse Boosting and Spatial Data Analytics)

Nanyang Technological University

Nanyang Avenue, SGonsitePosted Jul 23, 2026
Posting intelligenceActively listedReposted 21×, possible evergreen/ghost posting

Skills

python

About the 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.

Apply the methods to real-world datasets and prepare code, reports, presentations, and manuscripts.

Collaborate with the PI and research partners and support project milestones and reporting.

Job Requirements:

Minimum Bachelor degree in Statistics, Data Science, Mathematics, Computer Science, Econometrics, or a related field.

Strong background in statistical modelling, high-dimensional data analysis, and machine learning.

Proficiency in R; Python or related computational experience is advantageous.

Good analytical, programming, communication, and scientific-writing skills.

Able to work independently and collaboratively and meet project timelines.

We regret to inform that only shortlisted candidates will be notified.

Hiring Institution: NTU

Questions about this role

Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.

Compensation for Other roles in Singapore varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Other hub for Singapore medians across recent openings.

Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.

AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, Personio, Teamtailor and other major ATS platforms. If we can submit through the platform, we do.

Want AI Applyd to auto-apply to roles like this?

We tailor your resume per posting, fill the forms, and track replies for you.

Start freeReport this listing