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Research Assistant (Computer Science/Information Technology/Information Systems) - Job Opportunity at Nanyang Technological University

Singapore, Singapore
Full-time
Entry-level
Posted: July 12, 2025
On-site
SGD 45,000 - 65,000 per year (approximately USD 33,000 - 48,000). Research Assistant positions at top-tier universities in Singapore typically offer competitive compensation packages that reflect the institution's global ranking and the specialized nature of the research. The salary range accounts for the entry-level nature of the position while recognizing the technical expertise and research experience required.

Benefits

Access to world-class research facilities and resources at a top-ranked university
Opportunity to work with internationally renowned faculty members in cutting-edge AI and data science research
Professional development through exposure to groundbreaking research methodologies and technologies
Networking opportunities within Asia's leading technology and research hub
Access to state-of-the-art computing and data science infrastructure

Key Responsibilities

Conduct comprehensive literature reviews and surveys on mobile data visualization design and interaction methodologies to establish research foundation and identify innovation opportunities
Drive the development of next-generation mobile-friendly data visualization techniques that will shape the future of mobile computing and user experience
Pioneer novel user interaction paradigms for mobile data visualization that enhance accessibility and usability across diverse user demographics
Lead implementation of cutting-edge research approaches and execute comprehensive evaluation frameworks to validate research contributions
Produce high-impact documentation and research publications that contribute to the global knowledge base in data visualization and human-computer interaction

Requirements

Education

Bachelor/Master degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning

Experience

Minimum 1 year of relevant research experience in data visualization, human computer interaction, machine learning, data mining or data analytics

Required Skills

Python programming JavaScript development D3.js framework HTML5 markup Android/iOS app development experience (advantageous) Research publications in data visualization area (advantageous) Self-motivated individual who can work independently Collaborative team working abilities Proficient in speaking and writing
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Sauge AI Market Intelligence

Industry Trends

The mobile data visualization market is experiencing unprecedented growth driven by the proliferation of mobile devices and the increasing need for real-time data access across industries. Organizations are investing heavily in mobile-first data strategies, creating substantial demand for researchers who can bridge the gap between complex data analytics and intuitive mobile interfaces. Human-computer interaction research is evolving rapidly with the integration of AI and machine learning, particularly in the context of mobile computing. The field is seeing increased focus on adaptive interfaces, gesture-based interactions, and context-aware visualization systems that respond to user behavior and environmental conditions. Singapore's position as a leading technology hub in Asia is driving significant investment in research and development, particularly in areas like data science and AI. The government's Smart Nation initiative and substantial funding for research institutions are creating a robust ecosystem for technology innovation and research careers.

Role Significance

Typically part of a research group consisting of 8-12 members including principal investigators, postdoctoral researchers, PhD students, and fellow research assistants. The collaborative environment provides mentorship opportunities while allowing for independent research contributions and cross-disciplinary learning.
This is a foundational research position that serves as a launching pad for academic and industry careers in data visualization and human-computer interaction. While entry-level, the role carries significant responsibility for conducting independent research and contributing to publications, positioning the incumbent as an emerging expert in a rapidly growing field.

Key Projects

Development of adaptive mobile visualization frameworks that automatically adjust to device capabilities and user contexts Creation of novel interaction paradigms for touch-based data exploration and manipulation Implementation of machine learning algorithms for personalized data visualization recommendations Evaluation studies comparing mobile visualization effectiveness across different user demographics and use cases

Success Factors

Strong foundation in both theoretical computer science concepts and practical programming skills, as the role requires translating research ideas into functional prototypes and conducting rigorous evaluations Ability to bridge interdisciplinary knowledge areas including computer science, design principles, and human psychology, as mobile data visualization sits at the intersection of multiple fields Excellent communication and documentation skills for publishing research findings and collaborating with international research partners Adaptability and continuous learning mindset to stay current with rapidly evolving mobile technologies and visualization frameworks Independent research capabilities combined with collaborative skills to work effectively within a diverse, multicultural research environment

Market Demand

High demand with strong growth trajectory. The convergence of mobile computing, data visualization, and human-computer interaction represents a critical area of research with significant commercial applications. The increasing emphasis on mobile-first strategies across industries, combined with the growing importance of data-driven decision making, creates substantial opportunities for professionals with expertise in this intersection of technologies.

Important Skills

Critical Skills

Python programming proficiency is essential as it serves as the primary language for data analysis, machine learning implementation, and research prototyping in the data visualization field. The ability to efficiently process large datasets and implement complex algorithms directly impacts research productivity and quality. JavaScript and D3.js expertise represents the foundation for creating interactive web-based visualizations and mobile applications. These skills are critical for translating research concepts into functional prototypes and conducting user studies that validate research hypotheses. Research methodology and analytical thinking skills are fundamental for conducting literature reviews, designing experiments, and interpreting results. The ability to systematically approach research questions and draw meaningful conclusions from data determines the quality and impact of research contributions.

Beneficial Skills

Mobile app development experience in Android/iOS platforms provides significant advantages for implementing and testing mobile-specific visualization techniques, allowing for more comprehensive research contributions and better understanding of mobile platform constraints and opportunities Publications and academic writing experience enhance career prospects by demonstrating research maturity and communication skills, essential for academic career advancement and industry recognition Machine learning and data mining knowledge expands research capabilities by enabling more sophisticated data analysis and the development of intelligent visualization systems that adapt to user preferences and data characteristics

Unique Aspects

Opportunity to work at the intersection of mobile computing and data visualization at a globally top-ranked institution, providing access to cutting-edge research facilities and international collaboration opportunities
Direct involvement in shaping the future of mobile data interaction paradigms with potential for significant impact on how people interact with data on mobile devices
Access to Singapore's vibrant technology ecosystem and government support for innovation, including potential collaboration with industry partners and startups
Exposure to diverse, multicultural research environment that prepares candidates for global careers in technology and academia

Career Growth

Career progression typically occurs within 2-4 years for advancement to senior research positions or PhD programs, with 5-7 years for transition to industry leadership roles or academic positions. The timeline depends on research output, publication record, and professional development activities.

Potential Next Roles

PhD candidate in Computer Science or Human-Computer Interaction with focus on data visualization and mobile computing Senior Research Assistant or Research Associate positions at leading technology companies or research institutions User Experience Researcher specializing in data visualization and mobile interfaces at major technology companies Product Manager for data visualization tools and platforms at software companies Academic positions such as Lecturer or Assistant Professor in Computer Science or Information Systems departments

Company Overview

Nanyang Technological University

Nanyang Technological University stands as one of Singapore's premier institutions and ranks among the top universities globally, particularly distinguished for its research excellence and innovation in technology and engineering. The College of Computing and Data Science represents a strategic investment in next-generation technology education and research, positioned to lead developments in artificial intelligence, data science, and computing technologies.

NTU holds exceptional market standing with #2 global ranking for AI and Computer Science according to US News and #8 for Data Science and AI by QS World University Rankings. This positioning places the institution among the world's most influential centers for technology research and education, providing substantial credibility and networking opportunities for research staff.
Located in Singapore, NTU serves as a critical bridge between Western and Asian technology markets, offering unique access to both established Western research traditions and emerging Asian technology ecosystems. The university's strategic location provides unparalleled opportunities for collaboration with leading Asian technology companies and research institutions.
The university environment emphasizes academic excellence, research innovation, and international collaboration. The culture promotes intellectual curiosity, cross-cultural communication, and long-term career development, with strong support for professional growth and academic advancement.
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