Research Assistant (Computer Engineering/Computer Science/Electronics Engineering)

Young and research-intensive Nanyang Technological University Singapore (NTU Singapore) is ranked among the worlds top universities. NTUs College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum outstanding and impactful research and world-renowned faculty. Today we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research the College aims to groom the next generation of leaders thinkers and innovators to thrive in the digital age. Located in the heart of Asia NTUs College of Computing and Data Science is an exciting place to learn and grow. We welcome you to join our community of faculty students and alumni who are shaping the future of AI Data Science and Computing.

Key Responsibilities:

• Conduct in-depth literature reviews on human-AI collaboration reliance behaviours critical thinking AI literacy and problem-solving in educational contexts.

• Synthesise findings into a rigorous conceptual framework to guide the studys design and theoretical contributions.

• Lead the creation of innovative pedagogically sound problem-solving tasks that integrate AI tools to measure reliance behaviours and critical thinking.

• Ensure activity design reflects both outcome-based and strategy-based evaluation perspectives.

• Develop robust mixed-methods research protocols including survey instruments observational coding schemes and experimental task flows.

• Coordinate participant recruitment and ensure compliance with all ethical guidelines.

• Facilitate high-quality quantitative (e.g. surveys behavioural logging) and qualitative (e.g. interviews task reports) data collection.

• Ensure secure organised storage and documentation of all datasets.

• Conduct advanced statistical analyses (e.g. correlation regression path analysis) and qualitative analyses (e.g. thematic coding content analysis) to uncover nuanced patterns.

• Integrate findings across data types to produce actionable insights on AI reliance and critical thinking. Lead backend development in Python especially for data integration and AI model training workflows.

• Contribute to drafting manuscripts for peer-reviewed journals and conference proceedings.

• Develop visually engaging figures diagrams and conceptual models to communicate findings effectively to academic policy and practitioner audiences.

• Act as a key liaison between interdisciplinary collaborators ensuring smooth communication and alignment of deliverables.

• Track progress against milestones and adapt strategies to maintain timelines.

• Proactively contribute ideas to refine study methods analysis approaches and intervention designs.

• Collaborate on AI/ML model training using Jupyter Notebook; apply foundational knowledge of ML algorithms.

• Work closely with and provide guidance to interns and part-time student developers.

Job Requirements:

• Preferably bachelors degree in Computer Engineering Computer Science Electronics Engineering or equivalent.

• Independent highly analytical proactive and a team player

• Excellent teamwork and verbal written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.