Total 51 Science / R&D / Research job vacancies in Seventeen Mile Rocks

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The SMU Urban Institute is a university-level research institute dedicated to advancing an interdisciplinary research agenda. Leveraging SMU's strategic position as a dynamic management university in Singapore's city centre, the Institute aims to make a meaningful impact through the study of Asian cities. We are currently seeking individuals with specific skillsets to support the various ongoing projects at the Institute.

• Co-author manuscripts for submission to peer-reviewed journals, using previously collected datasets.
• Design and conduct new qualitative and mixed-method studies, including interviews, focus groups, and social media analysis.
• Collect, clean, organise, and analyse data using qualitative software and multi-method frameworks.
• Carry out cross-country comparative analysis with a focus on Southeast Asian contexts.
• Translate research findings for non-academic audiences and engage with external stakeholders.
• Collaborate with colleagues and researchers from other disciplines as part of an interdisciplinary team.
• Compile research reports and contribute to grant reporting and documentation as required.
• Undertake any other research-related duties as assigned by the Principal Investigator.

• Master's degree in a relevant social science, arts, or humanities discipline.
• Minimum 2 years of research experience in an interdisciplinary environment spanning social sciences, arts, and/or humanities.
• Demonstrated academic writing ability, evidenced by publications, working papers, or equivalent outputs.
• Prior experience working in mixed teams that include scientists, engineers or computing researchers.

#LI-XL1

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Provide research assistance for LKC Chair Professor's research projects.
• Compile and clean data from various sources, construct empirical measures.
• Data analysis and statistical analysis of the research studies.
• Compile information and write research reports.
• Assist to prepare manuscripts for publication in targeted journals.
• Any other research-related work assigned.

• PhD or Master's degree in Accounting, Computer Science, Economics, or related fields (with substantial computing/programming training). Undergraduate or Master degree and research experience in Accounting / Finance / Economics / Statistics is a plus.
• Knowledge of computer science foundations and fundamental / information studies.
• Knowledge in programming languages, knows how to work with operating systems and how to maintain databases, especially in Big Data Management.
• Knowledge in accounting, in particular, the ability to understand financial reports.
• Experience/training in accounting, finance, business, or economics research; able to collect data from various resources.
• Competency in the use of statistics in research.
• Ability in using and/or programming using statistical software (e.g. SAS, Stata, Python).
• Ability to handle a high volume of quantitative work, with attention to details.
• Excellent oral, interpersonal and written communication skills.

#LI-XL1

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for SMU Resilient Workforces Institute (ResWORK)
• Implement AI models, explanations, and interactive ML techniques.
• Design and implement web-based prototypes.
• Conduct analyzing experimental and interaction data.Contribute to technical documentation and demonstrations.

• Minimum Bachelor's in Computer Science, Information Technology, Information Systems or closely related disciplines.
• Minimum 1 years of relevant research experience in AI and machine learning.
• Experience in web-based prototyping.

#LI-XL1

The Position

• Build trusted partnerships with external stakeholders by driving peer-to-peer exchange of knowledge and improving disease awareness/understanding (in alignment with therapeutic-area/asset strategy) to facilitate appropriate patient-management decisions.
• From the clinical development phase onwards, inform strategic decisions, support organizational goals, and help improve patient care, by developing a deep understanding of the therapeutic area and healthcare landscape (including stakeholder networks and patient care pathways), and gathering actionable insights.
• Identify the needs of external stakeholders, recognize opportunities for healthcare solutions and data-generation, and proactively address the needs by collaborating with internal stakeholders and leveraging external partnerships.

Tasks & Responsibilities

Stakeholder engagement

• From the clinical development phase onwards, identify, profile, and strategically engage with relevant external stakeholders in the territory, to build long-term partnerships and facilitate early clinical adoption. The stakeholders may include (but are not limited to) External Experts (EEs), Healthcare Providers (HCPs), Centers of Excellence (CoEs), Healthcare Organizations (HCOs), payors, key decision makers, patients and Patient Advocacy Groups (PAGs).
• Develop a deep understanding of stakeholder network, healthcare landscape, and patient-care pathways, in collaboration with internal cross-functional team members. Utilize this understanding to develop and execute a territory-specific strategic stakeholder engagement plan that supports the TA/asset Scientific Objectives (SOs) and priorities, and is aligned to Integrated Asset Plan (IAP).
• Understand and apply the skills and behaviors of the Hybrid Customer Engagement Model for Medical (H-CEMM) and Strategic Account Management (SAM) while engaging with external stakeholders.
• Communicate scientific data and asset value-proposition effectively, using omnichannel orchestration, ensuring that individual preferences and needs of external stakeholders are met.
• Recognize the gaps in patient journeys, and identify opportunities that aim to improve referral pathways.
  Lead/support activities such as medical education, preceptorships, round-table discussions, advisory boards and congresses (scientific sessions & Medical booth)

Gathering insights

• Proactively gather & record action-focused insights related (but not limited) to disease management, healthcare landscape, patient journey, stakeholder network, clinical data gaps, educational gaps, clinical development, competitors, future trends, content feedback, efficacy/safety of our medicines, health equity, market access, patient outcomes, stakeholder needs, and product use in practice.
• Share insights internally to Medical Affairs and cross-functional teams (as appropriate), to stimulate scientific exploration, and identification of collaborative opportunities.
  Develop and execute (or support development and execution of) strategies/actions based on the insights.

Collaborations

• Share learnings with internal cross-functional teams, and collaborate to maximize opportunities.
• Support Clinical Development & Operations team in activities such as site/investigator identification, site-initiation, and identification of recruitment gaps.
• Collaborate with Market Access/Healthcare Economics & Outcomes Research/Healthcare Affairs team for discussions on scientific data and asset value-proposition.
• Explore the needs & challenges of patients, in collaboration with Patient Engagement team.
• Support the implementation of Early Access (or related) Programs.
• Support the development of resources and delivery of trainings for internal medical and non-medical functions.
• Lead/support identification & briefing of external speakers.
• Collaborate with, or support, internal and external stakeholders for data generation, including real world evidence (e.g., for External Collaborative Research,
• Observational Non-Interventional Studies, and Investigator Initiated Studies).

About our future employee

• Bachelors in the field of life/health science or other Medicine-related discipline. Possessing an advanced degree (e.g., MD, PhD, MBA) will be an advantage.
• At least 1–2 years of experience in the pharmaceutical industry or in a Medical Science Liaison (MSL) role or related scientific/clinical area; experience in the metabolic therapeutic area is an advantage.
• Ability to collaborate with different internal and external stakeholders, to develop & strengthen trusted partnerships.
• Excellent interpersonal and communication skills, both written and verbal.
• Ability to use technical and digital tools including Microsoft Office 365 applications, and an aptitude for learning new software, to perform all aspects of the job.
• Ability to manage time and resources optimally .
• Demonstrates proactive attitude, growth mindset, agility, emotional intelligence, teamwork, trustworthiness, resilience, accountability and leadership.
• Willingness to travel (within the territory/nation, and occasionally internationally).
• Ability to fulfil key performance indicators (KPIs) associated with respective responsibilities.
• Knowledge of local healthcare systems and clinical practices related to patient care – preferred.
• Preference may be given to candidates who do not require work visa sponsorship.

Key Responsibilities

• Being part of the Raffles Health Insurance Actuarial team, to conduct monthly reserve valuations for premium and claims liabilities, ensuring accuracy and compliance with regulatory standards.

• Analyze and present valuation results to stakeholders, providing insights to support strategic decision-making.

• Perform experience studies covering mortality, morbidity and persistency

• Support the development, enhancement, and maintenance of actuarial models and valuation methodologies. This comprises both IFRS 17 and IFRS 4 bases.

• Carry out capital management activities which includes supporting annual ORSA exercise, business projections and budgeting, monitoring the Capital Adequacy Ratio (CAR) and stress testing.

• Manage reinsurance for the in-force block of business. This covers treaty management, reinsurance premium processing, and recoveries.

• Preparation of MAS regulatory returns, ensuring full compliance with local reporting standards.

• Liaise with auditors during annual financial closings, ensuring alignment with both IFRS 4 and IFRS 17 frameworks.

• Collaborate with relevant stakeholders to enhance workflows, as well as ensuring data appropriateness and accuracy.

• Keep up-to-date with changes in actuarial standards, regulations, and industry best practices to ensure compliance and to apply the latest methodologies.

Requirements

• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or a related field.

• Experience in life and/or health insurance.

• Minimum 3 years of actuarial experience, with a focus on valuation and financial reporting

• Proficiency in Microsoft Office suite of applications, In particular, Excel, Word, PowerPoint and Outlook.

• Familiarity with programming languages such as R, Python, or SQL for data analysis.

• Knowledge of financial reporting standards. In particular, Singapore FRS 4, IFRS17 and Singapore RBC.

• Strong analytical and problem-solving abilities.

• Good progress towards completion of actuarial exams (e.g., Society of Actuaries (SOA), Institute and Faculty of Actuaries (IFoA)).

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for Office of Research Strategy (ORS).
• Conduct systematic reviews of investigator-led research activities, including Ministry of Education (MOE) Academic Research Fund (AcRF) Tier-1 and Tier-2 grants, completed projects, and high-quality unsuccessful proposals.
• Identify research initiatives with potential to evolve into programme-scale research agendas aligned with major national and international funding opportunities.
• Work with faculty investigators, Schools, and research clusters to strengthen early-stage research concepts and programme design.
• Support the repositioning of research proposals toward alternative funding opportunities including philanthropic foundations, corporate social responsibility (CSR) programmes, multilateral research initiatives, and international collaborative research programmes.
• Translate emerging research opportunities into structured programme-level initiatives suitable for major funding schemes.
• Work with Schools, Institutes, and research clusters to co-develop programme-scale research concepts and multi-investigator research initiatives.
• Coordinate the development of large research proposals targeting funding opportunities such as:
• MOE AcRF Tier-3 programmes
• Social Science & Humanities Research Thematic Grant (SSHR-TG)
• Large philanthropic foundation grants
• Multilateral research programmes
• International collaborative funding schemes such as Horizon Europe
• Multi-institution consortium grants
• Manage the institutional pipeline of programme-scale research initiatives, including tracking proposal development and coordinating internal stage-gates for major grant submissions.
• Facilitate collaboration between SMU investigators and external partners including universities, research institutes, international organisations, and philanthropic foundations.
• Coordinate consortium formation and partnership development for multi-institution research proposals and collaborative research initiatives.
• Support the preparation and submission of large grant proposals, including programme design coordination, concept refinement, and integration of partner contributions.
• Engage with external stakeholders including philanthropic foundations, multilateral development institutions, bilateral development agencies, and international research programmes to support proposal development and programme positioning.
• Work closely with ORS leadership to prioritise programme initiatives aligned with institutional research strategy and global funding opportunities.
• Other duties as assigned.

• Master's degree or equivalent professional experience in public policy, international development, economics, social sciences, business, or related disciplines, with 8 to 12 years of relevant professional experience in research programme development, international development initiatives, research funding strategy, or large grant coordination.
• Prior experience working with international research funding ecosystems including philanthropic foundations, multilateral development banks, bilateral development agencies, and international research funding programmes.
• Strong understanding of global research funding ecosystems including philanthropic foundations, multilateral development institutions, development finance organisations, and bilateral development agencies such as the World Bank, Asian Development Bank, Green Climate Fund, United Nations Development Programme, Organisation for Economic Co-operation and Development initiatives, United States Agency for International Development, and the UK Foreign, Commonwealth & Development Office.
• Familiarity with international research funding mechanisms including Horizon Europe, large foundation grants, collaborative research programmes, consortium funding initiatives, and multilateral research partnerships.
• Demonstrated experience conceptualising programme-scale research or development initiatives aligned with major international funding opportunities.
• Experience coordinating large research proposals or programme-level grant submissions involving multiple investigators and institutional partners.
• Ability to translate investigator-led research into programme-level initiatives aligned with major funding priorities.
• Experience managing multi-institution or multi-country collaborations involving universities, research institutes, international organisations, government agencies, or philanthropic foundations.
• Strong project management capability to track research proposal pipelines and coordinate complex multi-partner programme submissions.
• Excellent written communication skills, particularly in developing programme concepts, research funding proposals, and strategic concept notes.
• Experience working within or alongside international development organisations, multilateral institutions, global foundations, or international research programmes will be highly advantageous.

#LI-KC1

Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for Office of Research Strategy (ORS).
• Lead strategic analysis of global research funding landscapes, including philanthropic foundations, multilateral development institutions, bilateral development agencies, and international collaborative research programmes.
• Provide strategic guidance to ORS leadership on global research positioning and institutional priorities across foundations, multilateral organisations, and international research programmes.
• Build and maintain institutional intelligence on global funders, agenda-setting international research convenings, major international funding programmes, strategic research priorities, and emerging programme opportunities relevant to SMU's research capabilities
• Exercise institutional judgement in identifying research themes, clusters, and programme opportunities aligned with SMU2030 priorities.
• Lead programme and cluster scoping with Schools, Institutes, and selected local and international partners to identify fundable thematic opportunities.
• Lead senior-level engagement with international research funders, philanthropic foundations, and multilateral organisations to strengthen SMU's positioning within global research ecosystems.
• Identify and cultivate relationships with key international funding organisations and thought leaders to support the development of programme-scale research collaborations.
• Guide Schools and Institutes in shaping research agendas suitable for major programme funding opportunities.
• Provide strategic direction for programme development activities across ORS, ensuring alignment between global funding opportunities and institutional research priorities.
• Support the development of large programme-scale initiatives involving multiple investigators, research centres, and international partners.
• Work closely with the Assistant Director - Research Programme Development to ensure that emerging research initiatives are strategically aligned with international funding priorities.
• Contribute to the development of institutional strategy regarding global research engagement, emerging thematic priorities, and future research capability development.
• Monitor global developments in research funding, international policy priorities, and thematic research agendas that may influence future funding opportunities.
• Provide advisory input on strategic hiring directions and emerging interdisciplinary research priorities based on global foresighting and funding intelligence.
• Other duties as assigned.

• Master's degree or equivalent professional experience in public policy, international development, economics, social sciences, business, or related disciplines, with 12 to 15 years of relevant professional experience in research strategy, international programme development, research funding strategy, or global research partnerships.
• Prior experience working within or alongside international funding ecosystems including philanthropic foundations, multilateral development banks, bilateral development agencies, or international research programmes.
• Experience engaging senior stakeholders in international organisations, global foundations, universities, or research institutes will be highly advantageous.
• Deep understanding of global research and development funding ecosystems, including philanthropic foundations, multilateral development institutions, development finance organisations, and bilateral development agencies such as the World Bank, Asian Development Bank, Green Climate Fund, United Nations Development Programme, Organisation for Economic Co-operation and Development initiatives, United States Agency for International Development, and the UK Foreign, Commonwealth & Development Office.
• Strong familiarity with international research funding mechanisms including Horizon Europe, collaborative research programmes, consortium funding initiatives, foundation-supported research programmes, and multilateral research partnerships.
• Demonstrated experience shaping programme-scale initiatives or research agendas aligned with major international funding opportunities.
• Ability to translate global funding intelligence into institutional research strategies and programme opportunities.
• Experience engaging senior stakeholders across universities, international organisations, government agencies, and philanthropic foundations.
• Strong capability in identifying emerging thematic research areas and aligning institutional research strengths with international funding priorities.
• Experience working on multi-institutional or multi-country research initiatives involving universities, research institutes, and international partners.
• Excellent strategic analysis and written communication skills, particularly in preparing strategic briefs, concept notes, programme strategies, and institutional positioning materials.
• Strong interpersonal and stakeholder engagement skills, with the ability to represent institutional research interests in international forums and partnerships.
• Experience working within or closely with international development organisations, multilateral institutions, global foundations, or international research programmes will be highly advantageous.

#LI-KC1

Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.

Key Responsibilities

• Participate in the end-to-end product development cycle for group and individual insurance products

• Perform pricing and profitability analysis, including assumption setting and financial modelling

• Prepare and submit product filings to regulators, ensuring compliance with relevant guidelines

• Develop and review benefit illustrations and product documentation

• Support product implementation, including system setup and cross-functional coordination

• Conduct product reviews and experience studies to monitor performance and recommend improvements

• Prepare management reports and analysis to support strategic decision-making
  

Requirements

• Bachelor’s Degree in Actuarial Science, Mathematics, Statistics, or related discipline

• Good progress in professional actuarial examinations

• 2–5 years of relevant experience in actuarial/product development within the insurance industry

• Strong analytical and problem-solving skills with high attention to detail

• Self-motivated, proactive, and able to work independently as well as in a team

• Good communication and stakeholder management skills

• Proficient in MS Office applications (especially Excel); knowledge of actuarial modelling tools is an added advantage

Applied Deep Learning Research Intern

Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time — the era of AI has begun.

NVIDIA is searching for a world-class researcher in Deep Learning to join our applied research team. If you agree with us that the most interesting thing about the Deep Learning revolution is applying it to solve real-life problems, this team will be a great fit for you. We are passionate about Deep Learning applied to computer vision, audio, text, and other domains, with the goal of improving specific problems encountered in NVIDIA’s products. After building prototypes that demonstrate the promise of your research, you will work with product teams to help them integrate your ideas into products.

What you'll be doing:

• Conceive Deep Learning approaches to solving particular product problems
• You'll construct and curate large problem specific datasets
• You'll design and implement machine learning techniques aimed at solving specific problems
• Collaborate with other team members, both in research and product roles
• Transfer technology to product groups

What we need to see:

• Pursuing a Master's in Electrical Engineering, Computer Science/Engineering, or related field
• Excellent knowledge of theory and practice of machine learning
• Excellent programming skills in a rapid prototyping environment such as MATLAB, Python, or C++
• Knowledge of common machine learning frameworks
• Track record of research excellence or significant product development
• Excellent communications and collaboration skills

Ways to stand out from the crowd:

• Expertise in parallel programming (e.g. CUDA)
• Knowledge of application areas, such as Computer Vision or Natural Language Processing

Are you dedicated, upbeat and dynamic with excellent analytical ability? Are you an engineer passionate and highly motivated about solving complex problems? If so, you may be a perfect fit for NVIDIA!

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting research on Embodied Perception and Reasoning algorithms. Successful candidate will be part of an active research team led by Prof Bin Zhu from School of Computing and Information Systems (SCIS), Singapore Management University (SMU).

Candidate's core responsibilities are:

• Develop embodied perception algorithms for visual, spatial, and semantic understanding of dynamic environments.
• Design and implement reasoning models that enable robotic manipulation tasks.
• Conduct experiments for both simulated and real-world Embodied Agent Evaluation.
• Produce high-quality research publications in top-tier conferences and journals.
• Other duties as assigned.

• A PhD in Computer Science, Information Technology, Information Systems, or a closely related discipline from an institution of higher learning.
• At least two years of relevant research experience in multimodal learning, computer vision, or embodied AI.
• A strong publication record in top-tier conferences or journals in computer vision, multimedia, and artificial intelligence.
• Demonstrated expertise and professional experience in deep learning, multimodal learning, or embodied perceptionand reasoning.
• Applicants with strong research publications in computer vision or embodied AI will be given preference.
• Self-motivated, proactive, and able to work both independently and collaboratively within a research team.

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for School of Computing and Information Systems (SCIS).
• Design and implement AI for software engineering solutions.
• Conduct evaluations and/or user studies to validate the effectiveness of the algorithms and tools,.
• Write and publish research papers and present them to reputable academic conferencesd.
• Package the documents, implementation code, evaluation results of the project for public release.
• Liaise with other team members of this project to realize the overall goal of the project.
• Other duties as assigned.

• Minimum Bachelor degree in Information Systems / Computer Science / Information Technology / Security /Informatics Engineering / Software Engineering.
• Publication of at least a first-authored paper in a top AI or software engineering or cybersecurity conferences/journals (CORE A*).
• Excellent knowledge about software engineering and artificial intelligence.
• Highly fluent in Python and Java.
• Competent in designing and implementing algorithms and data structures.
• Excellent oral and written communication skills.
• Excellent analytical, technical and problem-solving skills.
• Self-motivated individual who can work independently and also collaboratively with team members.
• Able to work under strict deadlines.
• Research capability as evidenced by tangible deliverable i.e., at least a first-authored paper in CORE A*conference / journal in the field of AI or software engineering or cybersecurity.

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• RA & HR Management: Recruit, screen, onboard, and train undergraduate RAs each cycle; coordinate IT access and lab setup; develop and manage RA schedules to ensure full coverage across all sessions; run pre-wave QA sessions and share feedback with researchers.
• Lab Setup & Researcher Coordination: Configure SPS each term: create and distribute master surveys to faculty; open wave timeslots; verrfy IRB approvals; solicit studjes from researchers and manage wave deadlines across 6+ data collection waves per year; coordinate with relevant departments in advance to secure lab availability for the full term.
• Instructor Coordination & Credit Management: Coordinate with 1 O+ course instructors-each term on student sign-ups and study announcements; develop and tailor lab-related informational materials to meet the specific needs of each course; reconcile ~4,000 student credit entries per term; resolve discrepancies and process alternate assignment credits.
• Budget & Reporting: Lead the annual budget cycle; prepare and present term-end lab usage reports to the Marketing group; run BLAB departmental meetings.
• Daily Lab Operations: Oversee all communications for BLAB; prepare each lab session by ensuring IT readiness, coordinating technical support when needed, and maintaining a clean and functional lab environment; process participant cancellations and rescheduling in SPS; respond to student and researcher queries: provide on-call RA support during all data collection sessions; troubleshoot SPS and study issues, serve as backup study runner when needed.

• PhD in marketing, psychology, statistics, engineering, or a closely related discipline would be ideal.
• Prior experience in academic behavioral research, preferably including hands-on involvement in laboratory-based experimental studies.
• Familiarity with institutional research processes, including IRS/ethics protocols and subject pool management.
• Proficiency with online survey and subject pool platforms (e.g., Qualtrics, SONA/SPS).
• Strong understanding of experimental research design and behavioral data collection procedures.
• Excellent organizational and project management skills, with the ability to manage multiple concurrent workstreams across a full academic calendar.
• Strong interpersonal and communication skills for coordinating across faculty researchers, course instructors, undergraduate RAs, and university administrative offices.
• Strong troubleshooting ability, with a proactive approach to identifying and resolving technical and logistical issues under time pressure.
• Working knowledge of relevant computing and technical systems (e.g., survey platforms, lab IT setup, basic data handling), with the ability to quickly learn new tools.
• High attention to detail, particularly for data reconciliation and credit verification tasks involving large datasets.
• Experience supervising or training undergraduate research assistants is an advantage.

#LI-KC1

About the Role

We are hiring a hands-on Equipment Technician to support R&D activities in a semiconductor environment. This role focuses on machine setup, troubleshooting, and equipment maintenance for prototype and engineering runs.

Key Responsibilities

• Perform machine setup, adjustment, and changeover for engineering runs
• Support equipment troubleshooting, alarm handling, and recovery
• Assist in preventive maintenance (PM) and basic calibration
• Monitor equipment performance and report abnormalities
• Work closely with engineers to support R&D trials and process improvements
• Maintain accurate logs for equipment status, maintenance, and runs
• Ensure compliance with cleanroom and safety standards

Requirements

• NITEC / Diploma in Engineering (Mechanical / Mechatronics / Electrical)
• 1–3 years of hands-on experience in machine operation or equipment support
• Basic troubleshooting skills (mechanical / electrical)
• Experience in semiconductor or precision manufacturing preferred
• Comfortable working in cleanroom environment

Why Join

• Strong exposure to advanced equipment and R&D environment
• Career progression into Equipment / Process Engineering roles
• Stable MNC with structured training

Lai Kah Wei

Registeration Number: R25158317

EA License Number: 18C9027

About the Role

We are seeking a detail-oriented Metrology / Inspection Technician to support semiconductor R&D and advanced packaging development. This role focuses on measurement, defect inspection, and data analysis to support engineering decisions and process optimisation.

Key Responsibilities

• Perform wafer/panel measurements (e.g. thickness, CD, surface, defect inspection)
• Support DOE runs, engineering lots, and process characterisation
• Identify defect trends and abnormalities, and report findings to engineers
• Maintain measurement accuracy, SPC tracking, and data consistency
• Operate and support metrology tools, setup, and basic calibration
• Assist in tool troubleshooting and routine maintenance (PM)
• Maintain proper documentation including measurement logs and reports
• Adhere to cleanroom protocols and safety procedures

Requirements

• NITEC / Diploma in Engineering or related field
• 1–3 years of experience in inspection, QA, or measurement environment
• Exposure to microscope, AOI, or metrology tools is advantageous
• Basic understanding of data tracking / SPC preferred
• Strong attention to detail and analytical mindset
• Comfortable working in cleanroom environment

Why Join

• Exposure to advanced semiconductor R&D processes
• Structured career growth into engineering pathways
• Stable MNC environment with strong technical exposure
  
  

Lai Kah Wei

Registeration Number: R25158317

EA License Number: 18C9027

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Assist in the scoping, preparation, review, and completion of the IPCC Special Report on Cities and Climate Change as well as the Working Group II Assessment Report of the 7th Assessment Cycle and play a key role in ensuring the scientific integrity and quality of the reports.
• Support the planning, conducting, and reporting for the meetings and sessions organized by Working Group II, including IPCC Workshops and Expert Meetings and contribute to the scientific aspects of these meetings and sessions to facilitate informed decision-making.
• Contribute to the development and implementation of scientific plans related to the activities and products of the Working Group II for the duration of the 7th Assessment Cycle, including the Technical Guidelines for Assessing Climate Change Impacts and Adaptation Including Indicators, Metrics and Methodologies.
• Assist in the reporting process for the scientific outcomes of meetings, sessions, and other relevant activities.
• Provide scientific support in the development of outreach materials related to the activities of the Working Group II and contribute to the creation of materials that effectively communicate scientific findings to various stakeholders.
• Any other duties as assigned.

• Recent PhD holder or Masters' degree in climate change impacts, adaptation, and/or vulnerability , with at least 2 years of work experience after conferment of Masters' degree.
• Scientific publications related to climate adaptation (or on Working Group II-related topics) in refereed journals.
• Experience working in a multi-cultural and multi-disciplinary team.
• Experience in scientific report writing and editing.
• Ability to plan, organize and execute complex multi-task workloads.
• Proficient in oral and written English at the academic publishing level.
• Excellent communication and interpersonal skills and capability to interact with international science and stakeholder community.
• Stress-resistance and ability to work precisely and effectively under time constraints.
• Willingness to travel internationally for meetings and workshops frequently.
• Experience working with UN processes, in particular the IPCC, would be an asset.

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