Total 5 Junior Executive information security analyst job vacancies in Education / Training category

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s 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.

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, NTU’s 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:

• Assist in conducting research on cybercrime and AI-enabled threats using large language models (LLMs), artificial intelligence techniques, and empirical security analysis methods.

• Support the design and implementation of research prototypes and tools for AI-driven cyber threat analysis, malicious activity detection, and cybercrime measurement.

• Collaborate with academic and industry partners by assisting in project-related research tasks, experiments, documentation, and technical discussions in cybercrime and AI security research.

• Support the preparation of research outputs, including literature reviews, experiment summaries, technical reports, figures, tables, and manuscript drafts for academic publication.

• Assist in proposal preparation and grant-related documentation in areas such as cybercrime, AI-driven cybercrime measurement, and AI security.

• Assist in building and maintaining experimental platforms, benchmarks, and datasets for cybercrime measurement, threat analysis, and LLM security.

Job Requirements:

• A Bachelor degree in Computer Science, Cyber Security, or a related discipline.

• Research or applied experience in cybercrime measurement, AI-enabled cybercrime analysis, or LLM security through coursework, projects, internships, or research activities.

• Knowledge of cybercrime concepts and LLM prompt techniques.

• Proficiency in programming languages such as Python, C/C++, and Java.

• Familiarity with vulnerability analysis, network analysis, and cybercrime comprehension techniques through coursework, projects, or hands-on practice.

• Ability to support academic writing and research outputs, including literature reviews, technical reports, experiment summaries, and manuscript preparation for international conferences.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Urban-Intelligence-&-Policy-Analyst%29/33289-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

NUS Cities is a university-wide, interdisciplinary entity hosted within the College of Design and Engineering, serving as an open and inclusive collaborative platform spanning Education, Research, and Advisory Services.

This role focuses primarily on the urban planning, qualitative research, and policy translation components of NUS Cities' ongoing projects, helping ensure that research outputs are grounded in real-world planning contexts and communicated effectively to planning practitioners and policymakers. The Research Analyst will also contribute to academic publications, helping advance and disseminate knowledge to the broader research community.

Key Responsibilities

• Support the integration of technical outputs with urban planning and policy context, ensuring insights align with real-world governance needs and planning workflows.
• Support the policy translation process — helping operationalise research outputs into formats suitable for decision-makers (e.g., slides, briefs, memos, workshop materials, and presentation narratives).
• Contribute to documentation, visualisations, and the writing of reports and publications, with a strong focus on clarity, structure, and readability for both policymakers and academic audiences.
• Support other NUS Cities research and analysis activities, including contributing to engagements, knowledge products, and deliverables that connect research insights with practitioner and policy audiences.
• Support qualitative research activities, such as synthesising practitioner needs, summarising stakeholder feedback, drafting case studies, and translating technical outputs into clear planning narratives.
• Assist in designing and validating use cases for the technical framework (e.g., built environment and residents' well-being analysis; estate management and operational efficiency), with emphasis on framing, interpretation, and real-world relevance.

Qualifications

• Bachelor's or Master's degree in Urban Planning, Public Policy, Social Sciences, Geography, Urban Studies, or a closely related field.
• Strong organisation and project coordination skills, with the ability to manage multiple workstreams, timelines, and stakeholder touchpoints.
• Excellent writing and presentation skills, including the ability to produce clear, well-structured slides, briefs, summaries, and stakeholder-facing materials.
• Resourceful and analytical, with good communication skills; able to work independently while collaborating effectively with interdisciplinary teams of planners, social scientists, and technical researchers.
• Keen interest in working with AI tools and prompt engineering to support research, synthesis, and knowledge production workflows.

Preferred
• Familiarity with Singapore's urban governance landscape (e.g., URA, HDB, BCA, LTA, MND) is a strong advantage.
• Demonstrated experience in qualitative research and synthesis (e.g., interviews, thematic analysis, sensemaking, narrative development, stakeholder needs analysis).
• Familiarity with geospatial tools (e.g., QGIS/ArcGIS/GeoPandas) and/or data analysis in Python.

Application Procedure

Interested applicants should submit a dossier consisting of the following to the NUS career portal:

• A cover letter (maximum 3 pages)
• Up-to-date CV
• A statement describing their research trajectory, interests and career ambitions
• Contact details for three referees. Only short-listed applicants will be invited to submit reference letters.

We will begin evaluating candidates immediately, but the position will remain open until a suitable candidate is found. Further enquiries should be sent to mzyeric@nus.edu.sg (please indicate “Research Assistant (Urban Intelligence & Policy Analyst) Application” as the subject heading).

Established in 1992, the Wee Kim Wee School of Communication and Information (WKWSCI) is the only full-fledged communication school in Singapore and is a world-class centre of excellence with an international faculty, state-of-the-art research laboratories, and global institutional affiliations.

We are looking for a Research Assistant (1-year contract) to support a research project examining disinformation and propaganda operations across Southeast Asia and their impact on Singaporeans. The project will focus on the digital space, including social media and messaging apps.

Key Responsibilities:

• Collect, scrape, and clean large datasets from online platforms and media sources.

• Conduct computational analysis of disinformation and propaganda networks.

• Develop and apply data visualization techniques to present findings clearly.

• Collaborate on research design and methodology discussions.

• Co-author academic papers, conference submissions, and project reports.

• Support literature reviews and integrate computational insights into theoretical frameworks.

• Assist in preparing presentations and communicating findings to stakeholders.

• Assist in logistics, such as equipment purchasing and hiring student assistants

Job Requirements:

• Bachelor’s or Master’s degree in computer science, data science, information studies, or related fields.

• Strong programming skills (e.g., Python, R) for data scraping, cleaning, and analysis.

• Experience with data visualization tools and libraries (e.g., Tableau, matplotlib, ggplot).

• Familiarity with social media APIs and web scraping frameworks.

• Ability to run statistical and computational analyses (e.g., regression, network analysis, machine learning).

• Academic writing skills and willingness to co-author publications.

• Strong problem-solving skills and ability to work independently and collaboratively.

• Prior experience in computational social science or related projects is preferred; Entry level candidates with relevant skills are welcome to apply.

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

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-AssistantAssociate-Policy-Analyst-Economic-Evaluation/32452-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Research Assistant/Associate Policy Analyst – Economic Evaluation

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a Research Assistant/Associate Policy Analyst. Rapid population ageing in Singapore underscores the need for effective interventions to support healthy and active ageing. This project aims to evaluate the impact of interventions (e.g. Age Well SG and related community-based programmes) on health outcomes, functional status, healthcare utilisation, and wellbeing among older adults. The study will draw on longitudinal and administrative datasets and will involve quantitative analysis and policy-relevant modelling to inform ageing and healthcare policies in Singapore. This is a full-time position based in Singapore.

Duties may include, but are not limited to: (1) providing programming support for research projects; (2) conducting statistical and econometric analyses using longitudinal and administrative data; (3) managing large and complex datasets; (4) evaluating programme impacts on health, frailty, and healthcare utilisation; (5) supporting cost and policy modelling; (6) conducting literature reviews; and (7) contributing to scientific manuscripts, reports, and dissemination of findings.

The appointed candidate should: (1) hold at least a bachelor’s degree; (2) be proficient in Stata or R; and (3) have training in statistics, mathematics, economics, computer science, quantitative social science, public health, epidemiology, or a related field. Experience with programme evaluation, longitudinal data analysis, or microsimulation modelling is preferred. Familiarity with C++ is advantageous but not required.

The ideal candidate should demonstrate the ability to work with large datasets and have strong knowledge of quantitative methods. Strong analytical thinking and work ethic, attention to detail, and problem-solving skills are essential. Excellent written and spoken English is required, as the candidate will engage with stakeholders and contribute to reports and publications.

The position is for one year but can potentially be extended. The grade of appointment will be accorded based on the candidate’s academic qualifications and years of relevant experience.

Applicants should send the following to the NUS Career Portal:
1) Cover note introducing themselves (no more than 500 words);
2) A two-page Curriculum Vitae (only including relevant information), containing details of two named referees;
3) A sample of published work and their roles in the projects, if applicable.

Interviews will be face-to-face for candidates. We are accepting applications until the position is filled.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-AssistantAssociate-Policy-Analyst-Retirement-Adequacy/32451-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Research Assistant/Associate Policy Analyst – Retirement Adequacy

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is recruiting a Research Assistant/Associate Policy Analyst. Rapid population ageing in Singapore raises important questions about financial resilience and retirement adequacy. This project aims to examine how life-course transitions in employment, health, caregiving, and housing shape income, expenditure, and financial vulnerability in later life. The study will draw on longitudinal datasets, including the Retirement and Health Study and will involve quantitative analysis and policy-relevant modelling to inform retirement and ageing-related policies in Singapore. This is a full-time position based in Singapore.

Duties may include, but are not limited to: (1) providing programming support for research projects; (2) conducting statistical and econometric analyses using longitudinal data; (3) managing large and complex datasets; (4) constructing indicators of retirement adequacy and financial vulnerability; (5) supporting policy modelling; (6) conducting literature reviews; and (7) contributing to scientific manuscripts, reports, and dissemination of findings.

The appointed candidate should: (1) hold at least a bachelor’s degree; (2) be proficient in Stata or R; and (3) have training in statistics, mathematics, economics, computer science, quantitative social science, public health, epidemiology, or a related field. Experience with longitudinal data analysis or microsimulation modelling is preferred. Familiarity with C++ is advantageous but not required.

The ideal candidate should demonstrate the ability to work with large datasets and have strong knowledge of quantitative methods. Strong analytical thinking and work ethics, attention to detail, and problem-solving skills are essential. Excellent written and spoken English is required, as the candidate will engage with stakeholders and contribute to reports and publications.

The position is for one year but can potentially be extended. The grade of appointment will be accorded based on candidate’s academic qualifications and years of relevant experience.

Applicants should send the following by email to the NUS Career Portal:

1) Cover note introducing themselves (no more than 500 words);
2) A two-page Curriculum Vitae (only including relevant information), containing details of two named referees;
3) A sample of published work and their roles in the projects, if applicable.

Interviews will be face-to-face for candidates. We are accepting applications until the position is filled.