Research Associate (Large Vision Language Models)

About This Role

Seeking a Research Associate to lead adversarial robustness research for Large Vision Language Models at NTU's ROSE Lab.

Responsibilities

• Conduct research into adversarial attack and defense mechanisms for LVLMs.
• Execute deep learning experiments to benchmark model performance against adversarial vulnerabilities.
• Manage research repository codebases ensuring clean architecture and reproducibility.
• Write technical manuscripts, reports, and academic publications for funding review.
• Draft proposals for new research grants in designated domains.
• Assist in drafting proposals and guide student assistants.

Requirements

• Master's degree in Computer Science, Electrical/Electronic Engineering, Signal Processing, Machine Learning, or related field.
• Research background in Deep Learning, NLP, LLMs, LVLMs, or model benchmarking and optimization.
• Proficiency in Python and PyTorch with familiarity in C/C++.
• Experience with LLM frameworks, agentic systems, and automated pipelines is an advantage.
• Strong oral and written communication skills in English with research publications as a plus.
• Ability to engage stakeholders and guide student assistants.