Top Research Jobs in Singapore

Quantitative Research Engineers at Citadel's GQS develop software solutions, enhance trading systems, and collaborate with researchers to apply quantitative techniques.

Quantitative Researchers work on developing mathematical models, backtesting trading strategies, and conducting statistical analysis, utilizing complex data sets and algorithms.

As a Quantitative Research Analyst Intern, you will develop and improve trading models, conduct statistical analysis, and collaborate with team members in a data-driven environment.

Develop mathematical models and trading strategies, back test trading models, conduct research and statistical analysis for monetization systems.

The role involves developing and teaching courses in Design & Technology Education, supervising students, and conducting impactful research in education.

Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.

The role involves researching and developing large language models (LLMs) with a focus on transformer architecture, data curation, distributed training, and optimization. Responsibilities include conducting experiments, collaborating with teams, and staying updated on deep learning advancements.

The role involves developing and improving mathematical models for trading, analyzing statistical data, backtesting trading models, and using unconventional data for insights.

The intern will develop trading strategies, back test models, analyze data, and collaborate with the research team to innovate and refine monetization systems.

Conduct research, statistical analyses, and develop automated trading strategies using large data sets and sophisticated statistical techniques.

The Quantitative Research Analyst will develop and test trading strategies, implement models, and conduct statistical analysis in financial markets.

The Marketing Manager focuses on planning and executing omnichannel marketing campaigns to enhance awareness and engagement of Morningstar's research across global audiences, while managing multiple campaigns and collaborating with various teams.

The role involves pioneering machine learning techniques, developing advanced AI models, building data pipelines, and translating prototypes into products in code analysis.

The Manager in Operations Strategy will conduct user research, analyze customer feedback, and present insights for product improvements, collaborating with cross-functional teams.

Conduct research for investment opportunities, evaluate viability and performance of investments, and prepare financial models and recommendations.

Support modelling, design, fabrication, control, and experimental validation of soft robotic grippers for manufacturing. Develop simulations, prototypes, control strategies, run tests, analyze data, and produce technical reports and publications while collaborating with a multidisciplinary team.

Support resilient urbanisation and natural ecosystems research by assisting field and laboratory tests, developing test protocols, compiling and maintaining test data/databases, conducting analysis and evaluation, and helping prepare budgets, reports and papers.

Apply and adapt the COSMOS framework to new scientific datasets, collaborate with domain experts to interpret discovered motifs and co-develop mechanistic hypotheses, guide data structuring and labeling, advise experimental planning, and build reusable ML pipelines for deployment across domains.

The Research Engineer will develop sustainability metrics, coordinate data collection, analyze data, and facilitate collaborations between academia and industry.

Conduct independent research in deep reinforcement learning and large language models, publish in top conferences, guide students, and collaborate with partners.

Conduct research on evaluation methods for LLMs and VLMs, critically review literature, propose supervised research ideas, and write and present papers. Work involves neural networks, NLP, and developing dynamic adaptive evaluation techniques.

Conduct AI research, manage project progress, organize project events, present research outputs, and write research papers and reports based on project requirements.

Conduct spatial ecological analyses and develop species distribution and occupancy models using ecological survey, remote sensing, LiDAR, and environmental datasets. Build biodiversity indicators and geospatial decision-support tools, collaborate with government and industry partners, and support ecological modelling, spatial analysis, and biodiversity science projects.

Conduct AI research, develop and apply deep learning and machine learning methods, present findings, manage project progress and events, and write research papers and reports to meet project goals.

Support the Research team by onboarding and managing Insight Providers, identifying research gaps, tracking OKRs, overseeing bespoke research project timelines and deliverable quality, and analyzing financials to inform business decisions.