Total 17 IT Security Analyst job vacancies in Education / Training category in D22 Jurong, Jurong Island, Tuas

The S. Rajaratnam School of International Studies (RSIS), a Graduate School of Nanyang Technological University (NTU), is a leading research-intensive and teaching institution in strategic and international affairs and policy-oriented think tank in the Asia-Pacific region.

RSIS is seeking suitable candidates for the position of Research Fellow/ Associate Research Fellow/ Senior Analyst/ Research Analyst in the Maritime Security Programme. The successful applicant is expected to contribute to the Programme through doing research, data management and publication on maritime security issues. In addition, the successful applicant will assist with arranging courses, seminars, conferences and workshops for the programme. The successful candidate should possess at least a Master degree in a relevant field and possess aptitude, interest and commitment for in-depth research, able to work independently, fluent in English with good writing and research skills.

All applicants should submit the following:

• A cover letter specifying how your qualifications match the job description;
• A detailed curriculum vitae;
• 2 published articles or writing samples; and
• 2 reference letters.

We regret that only shortlisted candidates will be notified.

For further information about RSIS, please visit our website: www.rsis.edu.sg.

The Early Mental Potential & Wellbeing Research Centre’s mission is to maximise every child’s mental and emotional capital by uplifting neurodevelopmental trajectories during early sensitive periods through interdisciplinary discovery science and translational technologies.

Toward this aim, we engage in 3 major activities and thrusts:

1) Core Discovery Research, Empowering Science: Basic neuroscience research and advanced computational models to understand individual neurocognitive potential, developmental trajectories, and risk and resilience factors;

2) Translation to Clinic & Pedagogy, Empowering Practitioners: Developing precision assessment and intervention tools to optimise parent-child social and mental health within clinical, education and community settings;

3) Translation to Real-World Technologies, Empowering Families: Creating scalable solutions and real-world technologies for parents to enhance their child’s mental and cognitive wellbeing at home.

We are looking for an experienced full-time IT / Data Research Engineer to support major research programmes being conducted by the EMPOWER Centre.

Key Responsibilities:

• Conduct internal user requirement analysis, participate in solution design, planning and deploying of IT and data management solutions for the Centre’s research needs.
• Work closely with colleagues on procurement, preparation and publishing of tender specifications, as well as in evaluating and recommending potential solutions and/or vendors, contract management etc.
• Liaise closely with the Centre’s researchers and administrative staff to optimise the current data management system and to develop and maintain local networks.

Job Requirements:

• 2-3 years of working experiences in a fast-paced commercial / industry setting is desirable.
• S/he will also provide technical support for research dissemination activities, which may include workshops, seminars and public outreach activities.
• Candidates with a proven track-record in one or more of these areas are welcome to apply, and we will begin reviewing applications from May 2024 onwards, until all positions are filled.

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

The School of Computer Science and Engineering (SCSE) is seeking Research Fellow to join a university-level research centre collaborating with industry. The position is for two years, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to AI-Human Collaborative Content Generation.

Key Responsibilities:

• To independently undertake research in computer vision and machine learning.
• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.
• To provide guidance and support to any students associated with the project.
• To attend, contribute, and where necessary lead relevant meetings.
• To undertake any other duties relevant to the programme of research.

Job Requirements:

• A PhD degree in Computer Science or relevant fields such as Electrical Engineering and Cyberspace Security
• Have a solid foundation in the following areas: Computer Vision, Deep Learning;
• Strong publication records in top-tier computer vision and machine learning conferences/journals, such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, etc.;
• Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc.;
• Demonstrate outstanding communication skills, clear logical thinking, and willingness to learn.

We regret that only shortlisted candidates will be notified.

Temasek Laboratories@NTU is looking for a candidate to join them as a Research Scientist.

Key Responsibilities:

• Conduct evaluation of state of the art embedded microcontroller and associated cryptography algorithms
• Develop and test research methods on non-invasive and semi-invasive aspects of hardware security including but not limited to: post-quantum cryptography, Embedded Security, IoT security, Hardware Forensics etc
• Responsible for device setup, device testing, data analysis and reporting
• Publish in top international venues for optimal communication of our research

Job Requirements:

• Minimally Master’s degree in Electrical / Electronic / Computer Engineering or equivalent
• Applicants with PhD preferred
• Prior experience in working with embedded systems is required
• Prior experience with coding and evaluation of cryptography algorithms like post-quantum cryptography is required
• Coding background in either of C/Java/Assembly/Python/VHDL for analysis is required
• Creative, curious, self-motivated and a team player with good analytical and problem-solving skills

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

NTU is leveraging learning analytics to improve teaching and learning as part of our Education Strategy 2025. This position is similar in nature to a business analyst but for advancing the use of data for teaching and learning purposes. The position is critical for developing a communication plan to get faculty and students buy-in on the learning analytics goals of the university. He or she would also be responsible for gathering faculty, students and schools’ teaching and learning needs, and translating the needs into meaningful learning analytics solutions. In addition, he or she is expected to have some technical competency in SQL, python and/or SharePoint, and to support the administration of key system Dataiku in compliance with the data and AI governance policy of the university.

Responsibilities

Communication, engagement and collaboration opportunities

• Conceptualise and execute a communication plan for learning analytics with various units in the university
• Engage students and support faculty champions to increase acceptance and adoption of learning analytics
• Communicate with end-users and analyse their business needs
• Manage and maintain the department website

Data management

• Support the data engineer in handling data request
• Manage the data science machine learning platform
• Work with director and data engineer to look into methods to ensure data and AI governance.

Project Management

• Provide support for learning analytics projects by helping to build dashboards and communications

Requirements

• Bachelor degree in Business Analytics or Data Science and related fields
• At least two years of experience as a business analyst or experiences working on data related project
• Prior experience working in a university setting is highly preferred
• Proficient in statistics,
• Some knowledge of machine learning approaches and AI approaches including discriminative and generative
• Some idea of the various data governance framework issued by PDPA
• Strong communication and networking skills
• Strong ability in translating user needs into a data science problem
• Good understanding of data science or analytics and governance
• Good technical skills such as python programming, system administration
• Experiences in developing dashboards and other visualization tools such as Qliksense and Power BI would be ideal

The School of Computer Science and Engineering (SCSE) is seeking Research Fellow to join a university-level research centre collaborating with industry. The position is for two years, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to AI-Human Collaborative Content Generation.

Key Responsibilities:

• To independently undertake research in computer vision and machine learning.
• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.
• To provide guidance and support to any students associated with the project.
• To attend, contribute, and where necessary lead relevant meetings.
• To undertake any other duties relevant to the programme of research.

Job Requirements:

• A PhD degree in Computer Science or relevant fields such as Electrical Engineering and Cyberspace Security
• Have a solid foundation in the following areas: Computer Vision, Deep Learning;
• Strong publication records in top-tier computer vision and machine learning conferences/journals, such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, etc.;
• Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc.;
• Demonstrate outstanding communication skills, clear logical thinking, and willingness to learn.

We regret that only shortlisted candidates will be notified.

Centre for the Applications of Teaching & Learning Analytics for Students (ATLAS) is leveraging on learning analytics to improve teaching and learning as part of Education Strategy 2025. This position is similar in nature to a business analyst but for advancing the use of data for teaching and learning purposes. The position is critical for developing a communication plan to get faculty and students buy-in on the learning analytics goals of the university. He or she would also be responsible for gathering faculty, students and schools’ teaching and learning needs, and translating the needs into meaningful learning analytics solutions.

He or she would be working with the director and the data scientists to enhance data literacy of faculty and students. In addition, he or she is expected to support the administration of key systems such as Denodo and Dataiku in compliance with the data and AI governance policy of the university.

Responsibilities

Communication, engagement and collaboration opportunities

• Conceptualise and execute a communication plan for learning analytics with various units in the university
• Seek opportunities to collaborate with internal and external parties to achieve the learning analytics goals
• Engage students and support faculty champions to increase acceptance and adoption of learning analytics
• Communicate with end-users and analyse their business needs
• Manage and maintain the department website

Data management

• Support the data engineer in handling data request
• Manage the data science machine learning platform
• Build the data exploration tool to support data requester in identiying potential bias and discrimination in the requested datasets.

Project Management

• Provide support for learning analytics projects by helping to build dashboards and communications

Requirements

• Bachelor degree in Business Analytics or Data Science and related fields
• At least two years of experience as a business analyst or experiences working on data related project
• Prior experience working in an university setting is highly preferred
• Proficient in statistics, machine learning approaches and AI approaches including discriminative and generative
• Familiar with various data governance framework issued by PDPA
• Strong communication and networking skills
• Strong ability in translating user needs into a data science problem
• Strong understanding of data science or analytics and governance
• Strong technical skills such as python programming, system administration
• Proficient in developing dashboards and other visualization tools such as Qliksense and Power BI

Key Responsibilities and Activities:

Analyse and Generate Insights on the Organisational Health of Social Service Agencies (SSAs)

Conduct in-depth analysis on the organisational health of SSAs to articulate the impact of organisational capability-building efforts on service outcomes for service users, and inform capability-building strategies for the sector. This entails:

• Maintaining, updating, and enhancing dashboard on organisational health of the sector, incorporating relevant data sets.
• Advising on updates to organisational health frameworks, survey and self-assessment methodology of self-assessment tools.
• Sense-making and identifying the relationship between service user outcomes, capability building efforts and organisational health data.
• Analyse and Generate Insights on Manpower in the social service sector

Work with teams to analyse workforce trends to guide decision-making and strategic planning, and develop relevant metrics and dashboards to monitor performance; including:

• Identifying and assessing key sectoral manpower challenges and needs, uncover insights on attraction and retention of segments of the sector workforce, including Social Service Professionals in management roles.
• Developing meaningful sector level indicators, working with demographics, compensation, and other data types.
• Monitoring and reporting key statistics.
• Collaborating with internal and external stakeholders for analysis and reporting needs
• Leveraging market benchmarking data to influence and optimise decision making.

Strengthen In-house Research and Evaluation expertise

Support research and evaluation projects on sector and SSA needs, by

• Providing feedback on surveys administered by teams and provide support in analysing the findings.
• Advising on the design and implementation of research studies.
• Advising on the impact evaluation of capability-building schemes to assess impact, identify learnings and inform forward plans.

Requirements:

• Possesses a Bachelor’s Degree in the Social Sciences (e.g., Psychology, Social Work, Political Science, Public Health or relevant domains e.g., Business Administration
• At least 5 years of work experience, preferably with experience in Social Sciences or organisational health domain.
• Proficient in PowerBI. Knowledge in SPSS, Python, and R Programming would be a bonus.
• Strong research skills (Quantative and qualitative) and experience with research projects.
• Demonstrable experience in strategic planning and implementation.
• Knowledge and/or experience in Organisational Development
• Strong communicator who is flexible and adaptable, comfortable working in a dynamic and fast-paced environment.
• Singaporean(s) Only

Coen Tay Zhi Xuan (R1989334)

Scientec Consulting Pte Ltd (Scientec Personnel) -11C5781

Centre for the Applications of Teaching & Learning Analytics for Students (ATLAS) is leveraging on learning analytics to improve teaching and learning as part of Education Strategy 2025. This position is similar in nature to a business analyst but for advancing the use of data for teaching and learning purposes. The position is critical for developing a communication plan to get faculty and students buy-in on the learning analytics goals of the university. He or she would also be responsible for gathering faculty, students and schools’ teaching and learning needs, and translating the needs into meaningful learning analytics solutions.

He or she would be working with the director and the data scientists to enhance data literacy of faculty and students. In addition, he or she is expected to support the administration of key systems such as Denodo and Dataiku in compliance with the data and AI governance policy of the university.

Responsibilities

Communication, engagement and collaboration opportunities

• Conceptualise and execute a communication plan for learning analytics with various units in the university
• Seek opportunities to collaborate with internal and external parties to achieve the learning analytics goals
• Engage students and support faculty champions to increase acceptance and adoption of learning analytics
• Communicate with end-users and analyse their business needs
• Manage and maintain the department website

Data management

• Support the data engineer in handling data request
• Manage the data science machine learning platform
• Build the data exploration tool to support data requester in identiying potential bias and discrimination in the requested datasets.

Project Management

• Provide support for learning analytics projects by helping to build dashboards and communications

Requirements

• Bachelor degree in Business Analytics or Data Science and related fields
• At least two years of experience as a business analyst or experiences working on data related project
• Prior experience working in an university setting is highly preferred
• Proficient in statistics, machine learning approaches and AI approaches including discriminative and generative
• Familiar with various data governance framework issued by PDPA
• Strong communication and networking skills
• Strong ability in translating user needs into a data science problem
• Strong understanding of data science or analytics and governance
• Strong technical skills such as python programming, system administration
• Proficient in developing dashboards and other visualization tools such as Qliksense and Power BI

Centre for the Applications of Teaching & Learning Analytics for Students (ATLAS) is leveraging on learning analytics to improve teaching and learning as part of Education Strategy 2025. This position is similar in nature to a business analyst but for advancing the use of data for teaching and learning purposes. The position is critical for developing a communication plan to get faculty and students buy-in on the learning analytics goals of the university. He or she would also be responsible for gathering faculty, students and schools’ teaching and learning needs, and translating the needs into meaningful learning analytics solutions.

He or she would be working with the director and the data scientists to enhance data literacy of faculty and students. In addition, he or she is expected to support the administration of key systems such as Denodo and Dataiku in compliance with the data and AI governance policy of the university.

Responsibilities

Communication, engagement and collaboration opportunities

• Conceptualise and execute a communication plan for learning analytics with various units in the university
• Seek opportunities to collaborate with internal and external parties to achieve the learning analytics goals
• Engage students and support faculty champions to increase acceptance and adoption of learning analytics
• Communicate with end-users and analyse their business needs
• Manage and maintain the department website

Data management

• Support the data engineer in handling data request
• Manage the data science machine learning platform
• Build the data exploration tool to support data requester in identiying potential bias and discrimination in the requested datasets.

Project Management

• Provide support for learning analytics projects by helping to build dashboards and communications

Requirements

• Bachelor degree in Business Analytics or Data Science and related fields
• At least two years of experience as a business analyst or experiences working on data related project
• Prior experience working in an university setting is highly preferred
• Proficient in statistics, machine learning approaches and AI approaches including discriminative and generative
• Familiar with various data governance framework issued by PDPA
• Strong communication and networking skills
• Strong ability in translating user needs into a data science problem
• Strong understanding of data science or analytics and governance
• Strong technical skills such as python programming, system administration
• Proficient in developing dashboards and other visualization tools such as Qliksense and Power BI

• These duties are described at the full performance level (GS-12). The GS-11 levels are developmental with promotion potential to the full performance level at GS-12.
• Perform innovative Operations Research and Study Analysis (ORSA) and mathematical approaches to the analysis of materiel.
• Evaluates issues to fulfill mission objectives by resolving critical problems to overcome technical difficulties.
• Provides recommendations for improvements to meet program objectives
• Develop innovative approaches to complex problems that are unique.
• Develop mathematical or statistical relationships that are significant from the relationships established in previous problems.
• Maintains an understanding of processes with the issues related to the award and administration of contracts.
• Informs organization of the Army Acquisition process through study observation.

Joining CISA means being part of the team focused on securing the Nation's physical and cyber infrastructure against threats to public health and safety, economy, and national security; we Defend Today, Secure Tomorrow. Within CISA, the Infrastructure Security Division (ISD) focuses on protecting critical infrastructure from all hazards by managing risk and enhancing resilience through collaboration with the critical infrastructure community, which includes private sector owners, operators, and employees; state, local, tribal, and territorial (SLTT) officials; and other federal agencies.

Visit www.cisa.gov to learn more about CISA and how you can be part of the team to Defend Today; Secure Tomorrow.

In this position, you will serve as an Operations Research Analyst within the ISD's CISA Exercises Program Management Office (PMO) Branch. The professional selected for this role will be responsible for assisting in CISA Exercises' data analysis and reporting function to ensure the findings, trends, and best practices from individual exercises are aggregated into the larger body of knowledge and communicated in various forms to relevant whole-of-community decision makers. Typical work assignments include:

• Supporting exercise data collection and analysis projects and the interpretation and presentation of analytical findings and conclusions related to critical infrastructure security and resilience;
• Conducting analysis and meta-analysis of exercise related data and information within and across various customer segments to produce concise and easily digestible analytical reports to inform future exercises and drive requirements for other risk mitigating programs;
• Translating outputs from analysis and meta-analysis of exercise data through development and delivery of professional scientific research and analytical communication products, such as reports, documents, briefings, and other materials to Agency, departmental, and other governmental and external industry stakeholders both in written and verbal forms;
• Communicating data and findings in various forms to relevant whole-of-community decisionmakers to inform future policy, resourcing, and risk mitigation decisions and programmatic requirements at all levels;
• Providing expertise in mathematical, statistical, and other analytical techniques and methodologies and applying these methodologies to highly specialized programs affecting CISA's mission areas;
• Identifying advances in statistical and analytical processes and methods and presentation of data and supporting formulation of recommendations to enhance program effectiveness based on available data;
• Preparing decision papers, reports, and analyses on program activities for senior officials and policy makers.

This position is responsible to support the business in developing sourcing strategies for key input steel raw material and by testing the strategy against latest market trends, demand-supply dynamics, new suppliers, and potential supply risks. This position is central point of contact for consolidated information of market intelligence and responsible for commodity risk management strategies.

1. Prepare daily market updates and short-term outlook for steel raw materials
2. Actively engage with internal and external stakeholders (TATA's China desk, Price Reporting Agencies, Suppliers, etc.) on a regular basis and build a strong information network
3. Collect intelligence on key Suppliers, analyse and provide strategic inputs and views to Raw Material buying/risk management teams
4. Analyse sourcing strategies for steel making raw materials
5. Assist in the preparation of Strategy document and Annual Business planning documents and forecasting involving market intelligence and analytics
6. Assist in managing market agencies i.e. contracts, budgets, communication, interaction, etc.
7. Actively participate in and lead (as appropriate) projects pertaining to Raw Materials department
8. Develop market summary report based on market information to support the business in sourcing decisions
9. Review of sourcing strategies for potential improvements or repositioning based on latest market trends
10. Build a strong network in the industry for information
11. No. of surveys or engagement sessions held with internal stakeholders to assess and track requirements/effectiveness of information provided
12. Savings achieved through ideas, recommendations and engagement provided towards key ABP projects such as Predictive Analytics model development etc.
13. Savings or diversification achieved through suggestions of alternative products or pricing methodologies

Joining CISA means being part of the team focused on securing the Nation's physical and cyber infrastructure against threats to public health and safety, economy, and national security; we Defend Today, Secure Tomorrow. Within CISA, the Infrastructure Security Division (ISD) focuses on protecting critical infrastructure from all hazards by managing risk and enhancing resilience through collaboration with the critical infrastructure community, which includes private sector owners, operators, and employees; state, local, tribal, and territorial (SLTT) officials; and other federal agencies.

Visit www.cisa.gov to learn more about CISA and how you can be part of the team to Defend Today; Secure Tomorrow.

In this position, you will serve as an Operations Research Analyst within the ISD's CISA Exercises Program Management Office (PMO) Branch. The professional selected for this role will assist in CISA Exercises' data analysis and reporting function to ensure the findings, trends, and best practices from individual exercises are aggregated into the larger body of knowledge and communicated in various forms to relevant whole-of-community decision makers. Typical work assignments include:

• Supporting exercise data collection and analysis projects and the interpretation and presentation of analytical findings and conclusions related to critical infrastructure security and resilience;
• Assisting with analysis and meta-analysis of exercise related data and information within and across various customer segments to produce concise and easily digestible analytical reports to inform future exercises and drive requirements for other risk mitigating programs;
• Assisting in translating outputs from analysis and meta-analysis of exercise data through development and delivery of professional scientific research and analytical communication products, such as reports, documents, briefings, and other materials to Agency, departmental, and other governmental and external industry stakeholders both in written and verbal forms;
• Supporting communication of data and findings in various forms to relevant whole-of-community decisionmakers to inform future policy, resourcing, and risk mitigation decisions and programmatic requirements at all levels;
• Providing expertise in mathematical, statistical, and other analytical techniques and methodologies and applying these methodologies to highly specialized programs affecting CISA's mission areas;
• Supporting identification of advances in statistical and analytical processes and methods and presentation of data and supporting formulation of recommendations to enhance program effectiveness based on available data; and
• Assisting in the preparing decision papers, reports, and analyses on program activities for senior officials and policy makers.

We encourage you to read this entire vacancy announcement prior to submitting your application.

As a Supervisory Education Research Analyst, GS-1730-15, you will be responsible for:
• Directing the activities of one or more teams of the National Center for Education Evaluation (NCEE) evaluators and allocates resources as needed. Developing and implementing systems to control staff work, ensuring the quality of that work, and providing for staff development as necessary. Monitoring staff compliance with mandatory training activities and expectations related to other administrative activities, including procurement and contracting.   
• Designing and carrying out a multi-year agenda of high-quality research and evaluation on a specific problem of policy or practice in education. Leading teams of Department and external contract, staff to implement complex research projects, particularly those that involve highly specialized technical skills. Formulating policy options for senior Department officers regarding reauthorization of major federal education laws, emerging federal priorities, or the integration of ED policies and programs with related ones administered by other federal departments. Engaging leaders of the education and scientific research communities in discussion of issues to identify and refine broad evaluation options.   
• Advising and counseling NCEE, Institute of Education Sciences (IES), and Education (ED) leadership about the policy consequences of actions and events within and outside the Department and providing information and analysis that enables program and policy leadership to leverage opportunities and mitigate potential risks.   
• Keeping abreast of current scientific and technical developments in the fields of social science research and education reform initiatives. Serving as a resource across ED on evaluation and research methodology. Providing technical assistance to NCEE and other IES staff, with responsibility for ensuring that evaluation and statistical design and analyses used are appropriate. Acting as key resource on experimental and quasi-experimental methods.