Research Associate (Large Vision Language Models)

School of Electrical and Electronic Engineering (EEE) is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

The EEE Rapid-Rich Object SEarch (ROSE) Lab focuses on research in:  (i) visual search & retrieval, (ii) video analytics & deep learning, and (iii) multimedia forensics & biometrics.  Resources at the ROSE Lab consist of NTU faculty, researchers, PhD students, and visiting researchers from other institutions from around the world, as well as large-scale GPU computing facilities for deep learning. 

Our Lab aims to hire a Research Associate to support the Project Lead on the development of adversarial robust large vision language models.

Key Responsibilities:

• Conduct research into adversarial attack and defense mechanisms, and robustness of Large Vision Language Models (LVLMs).

• Conduct and execute deep learning experiments to benchmark, evaluate, and optimize model performance against adversarial vulnerabilities.

• Manage the research repository codebase, ensuring clean architecture, open-source documentation, and reproducibility.

• Write comprehensive research reports, technical manuscripts, and academic publications for funding review and workshops.

• Assist in drafting proposals for new research grants in the designated domains.

Job Requirements:

• Master’s degree in Computer Science, Electrical/Electronic Engineering, Signal Processing, Machine Learning, or a related field.

• Research background in Deep Learning, Natural Language Processing, Large Language Models (LLMs), or Large Vision Language Models (LVLMs), with a focus on model benchmarking and optimization.

• Proficient in Python and PyTorch, with familiarity in C/C++.

• Experience with LLM frameworks, agentic systems, and building automated pipelines is an advantage.

• Strong oral and written communication skills in English, and research publications is an advantage - essential for data analysis and communication with stakeholders

• Ability to engage stakeholders and guide student assistants.

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