job description
Join Nanyang Technological University (NTU), a global leader in AI research, as a Research Assistant (World Model). This is a unique opportunity to contribute to cutting-edge projects in the expanding School of Electrical and Electronic Engineering (EEE). You will work alongside a dynamic team of researchers and engineers, developing novel algorithms that push the boundaries of artificial intelligence and machine learning.
As part of this role, you will engage in high-impact research, collaborate with industry leaders, and contribute to publications in top-tier conferences and journals. NTU offers a vibrant research environment with state-of-the-art facilities, fostering innovation and excellence.
If you are passionate about AI and eager to make a difference in the field, we invite you to apply and be part of our mission to shape the future of technology.
Responsibility
- Assist in the development and implementation of advanced AI algorithms for world modeling.
- Conduct literature reviews and stay updated with the latest advancements in machine learning and AI.
- Collaborate with senior researchers to design and execute experiments.
- Analyze and interpret complex data sets to derive meaningful insights.
- Prepare research reports, presentations, and documentation for internal and external stakeholders.
- Contribute to the writing and submission of research papers to conferences and journals.
- Support the maintenance and optimization of research infrastructure and tools.
- Participate in team meetings and brainstorming sessions to drive innovative solutions.
Qualifications
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
- Strong programming skills in Python, TensorFlow, or PyTorch.
- Experience with machine learning frameworks and algorithms.
- Familiarity with data analysis and visualization tools.
- Excellent analytical and problem-solving skills.
- Strong written and verbal communication skills.
- Ability to work independently and as part of a collaborative team.
- Prior research experience or publications in AI/ML is a plus.