Total 30 Senior Executive operations engineer job vacancies in Education / Training category in Australia

Job Benefits

• Competitive salary

• Performance bonus

• Stable and established organisation with career development opportunities
  

Job Responsibilities

• Manage the daily operations of the training centre, including classroom setup, facilities readiness, and maintenance coordination

• Administer training programmes by preparing course materials, maintaining attendance records, and ensuring documentation accuracy

• Coordinate with trainers, learners, and internal departments to ensure smooth delivery of training sessions

• Monitor training schedules, trainer attendance, and operational compliance with internal and regulatory requirements

• Prepare operational reports, maintain accurate records, and support administrative projects assigned by management
  

Job Requirements

• Minimum 1 year of experience in operations, administration, training coordination, customer service, or a related role

• Familiarity with training administration processes, attendance tracking systems, or regulated training environments will be advantageous

• Proficient in Microsoft Office applications and digital productivity tools

• Strong organisational skills with the ability to manage multiple tasks and deadlines effectively

• Good communication and interpersonal skills to coordinate with learners, trainers, vendors, and internal stakeholders
  
  

Please submit your updated resume in MS Word format via the "Apply Now" button.

We regret that only shortlisted candidates will be notified.
StaffKing Pte Ltd (20C0358) | Stanley Chin (R24124684)

The Centre of Excellence in Maritime Safety (CEMS) is a national R&D centre, a collaborative effort between Singapore Polytechnic and the Singapore Maritime Institute. We focus on developing innovative digital solutions and training systems to enhance maritime safety. Our state-of-the-art research facilities, including South-east Asia's first navigation research simulator, setting us as an innovation champion.

About the Role

The appointee will be part of the CEMS AI & Software team in developing digital solutions to enhance simulator training and assessment, innovate in training pedagogy for the maritime industry. The role may also involve contributing to department- and school-level software initiatives that support digitalisation and automation across R&D, operations, and education.

Responsibilities:

• Lead projects and provide technical contributions across the full software development lifecycle (SDLC), including requirements gathering with industry partners and internal stakeholders.

• Work closely with the AI team at CEMS to deploy and integrate AI solutions—such as Natural Language Processing, computer vision, and data analytics —into simulation platforms to enhance training and assessment capabilities.

• Collaborate with third-party simulator technology and solution providers to design and develop reusable code libraries and scalable APIs for integration and interoperability.

• Drive improvements to existing software systems by identifying performance bottlenecks, refactoring codebases, and enhancing maintainability and scalability.

• Contribute to the conceptualization, proposal development, and implementation of new research and development projects aligned with CEMS’s strategic objectives.

• Guide junior software engineers and student interns in software development best practices, code quality, and project execution.

• Prepare and deliver regular project updates and technical presentations for CEMS Governing Board and senior management meetings.
  

  Requirements:

  • Relevant qualifications in Computer Science, Computer Engineering, or a related field.

  • Relevant experience in the following areas: Production-grade software development, Backend and/or frontend application development, RESTful API design and implementation using modern frameworks (e.g., ASP.NET Core, Spring Boot, Django, Express.js)

  • Strong programming skills in one or more modern languages (e.g., C#, C++, Java, Python), with the ability to quickly learn new technologies and frameworks.

  • Experience working with relational and non-relational databases (e.g., MySQL, Oracle, MongoDB).

  • Good understanding of object-oriented design, software design patterns, and CI/CD practices.

  • Familiarity with version control systems (e.g., Git, GitLab).

  • Hands-on experience with containerization tools such as Docker.

  • Ability to build quick prototypes, tools, or scripts to support development or testing.

  • Strong interpersonal, verbal, and written communication skills; effective in collaborative and fast-paced environments.

  • Experience with end-to-end AI solution implementation using frameworks such as TensorFlow or PyTorch is a plus.

We are looking for highly motivated and talented researchers to join our interdisciplinary team working on advanced modelling of complex large-scale urban systems, with a particular focus on land use, transport, and the built environment.

This role will involve developing, applying, and refining computational models to better understand urban dynamics, including how land use and transportation interact with the physical, social, and economic environment.

They will work with a collaborative and interdisciplinary team of scientists and engineers that have a passion in understanding the dynamics of large-scale socio-technical systems such as urban transportation (either land, air and/or sea) as well as the relationship between the built environment and social outcomes (such as health or behavioural outcomes across different population segments).

Shortlisted candidates would have the opportunity to work with various external collaborators, either from government and/or industry and work on high-impact real-world research problems, in which they will apply various computational tools such as modelling and simulation and AI to derive insights that can inform urban policy and planning.

Requirements

• Ph.D in Physics, Engineering, Data Science, Geography, or related fields

• Proficiency in Python or R with experience in geospatial and/or statistical packages

• Relevant research/project experience in either of these fields:

o Spatial analysis / Geospatial information system (GIS)

o Transportation and urban systems

o Agent-based modelling / network analysis

• Demonstrated experience in applying geospatial and/or statistical analysis or other relevant analytics tools on real urban problems would be highly desirable

• Experience working on large scale real-world datasets as well as knowledge of social dimension in urban planning would also be a plus

• Good written and verbal communication skills

• Ability to work effectively in an interdisciplinary research environment both individually as well as in a team, with a strong interest in collaborative research and policy impact

Key Responsibilities

• Develop data-driven energy disaggregation models to estimate machine-, process-, and batch-level energy consumption from aggregated or limited metering data.
• Design and implement energy monitoring, analytics and benchmarking algorithms for energy performance tracking, anomaly detection, and causal analytics related to energy-saving of industrial equipment and manufacturing processes.
• Conduct experiments, model validation, and performance evaluation using industrial datasets.
• Work closely with project partners, engineers, and researchers to translate research outcomes into deployable industrial solutions.

Requirements

• Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, Data Science, Industrial Engineering, or a related field.
• Strong programming skills in Python, with experience in data analytics, machine learning, and time-series processing.
• Knowledge of energy systems, power consumption analysis, industrial equipment, or manufacturing processes.
• Experience with machine learning techniques for regression, classification, anomaly detection, forecasting, or signal disaggregation.
• Ability to process and analyze large-scale time-series datasets.
• Good problem-solving skills and ability to work independently in applied research and development projects.
• Good written and verbal communication skills.

Preferred Qualifications

• Experience in non-intrusive load monitoring, energy disaggregation, virtual sensing, or industrial energy analytics.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Experience with causal analytics.
• Knowledge of manufacturing systems, additive manufacturing, CNC, heat treatment, pumps, compressors, motors, or other industrial equipment.
• Prior experience in applied R&D projects with industry partners is an advantage.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

The Senior / Executive (Training) supports the effective delivery of both the professional and community training programmes by overseeing end-to-end training administrative operations. This role ensures that WSQ and SSG-funded courses, as well as community programmes are administered accurately, efficiently, and in compliance with regulatory requirements.

Duties and Responsibilities:

1. Training Administration and Operations

Supports the coordination of end-to-end logistics for community and professional training programmes.

Supports the smooth class administration ie enquiries, registration process, withdrawals, learners’ e-learning on LMS, attendance tracking, and post-training follow-up.

Supports with scheduling, venue booking and set up, manpower allocation, and training materials preparation, and refreshments

Adherence to training-related budgeting, expense tracking, procurement and payment procedures.

2. Stakeholder Engagement

Serves as one of the key points of contact for learners, organisations, and community partners on training-related matters

Liaises with trainers, facilitators, clients and participants to ensure smooth training operations.

Support assignment offacilitators strategically based on participant profiles and training needs.

Provides timely communication, logistical support, and post-session feedback to trainers and facilitators, as needed.

3. Quality Assurance & Compliance

Supports the administration of WSQ/ SSG-funded/ AIC-funded courses in accordance with SkillsFuture Singapore(SSG) requirements and internal SOPs.

Maintains accurate records and documentation in the Training & Learning Management System (TLMS) andAgency sharepoint.

Maintains up-to-date knowledge of funding guidelines and SSG requirements for operational compliance and audit readiness.

Maintains adherence withinternal finance process, external audit requirements and data protection standards.

4. Process Management/Improvement

Work with the Manager (and/or Senior Executive) to review and refine workflows and SOPs for greater efficiency.

Contributes to digitisation or system enhancements of administrative tasks.

Supports the generation of reports and insights for programme evaluation and funder reporting.

Documents and adheres to best practices to build team capacity.

5. Team and Cross-functional Collaboration

Works closely with other departments of the Agency to ensure smooth delivery of the training programmes.

Supports other agency-related projects as recommended by the Manager or Deputy Director.

TELE me at @jacechooo or WA me at https://wa.me/+6582976283 NOW!
Interested candidates please submit your resume to jacechoo@recruitexpress.com.sg

Jace Choo Oi Kei
Personnel EA License No.: R1875164
Recruit Express Pte Ltd (EA Licence No.: 99C4599)

About Us

We are a fast-growing robotics and STEM education center dedicated to nurturing future innovators through robotics, coding, AI, and technology education. Our programs combine hands-on learning, creativity, and international robotics competition exposure to inspire students of all ages.

Job Responsibilities

• Welcome parents and students, and introduce the robotics curriculum and learning pathways
• Handle course enquiries, registration follow-ups, and daily parent communication
• Assist in classroom coordination and student attendance to ensure smooth lesson operations
• Organize and maintain teaching materials, operational documents, and student records
• Support daily center operations and assist the teaching team when required
• Maintain positive parent-school relationships and enhance overall parent satisfaction
• Coordinate administrative and operational matters to support the smooth running of the center

Requirements

• Prior experience in education centers, enrichment centers, or training institutions is highly preferred
• Patient, caring, and enjoy interacting with children and students
• Strong communication and interpersonal skills with a service-oriented mindset
• Fluent in both English and Chinese for effective communication with parents and students
• Detail-oriented, organized, and able to multitask effectively
• Responsible and able to independently manage on-site operational matters
• Comfortable working in a fast-paced and technology-driven environment

Preferred Qualifications

• Interest or exposure in robotics, STEM, coding, or technology education
• Experience in student management, front desk operations, or customer service
• Familiarity with enrichment center operations is an advantage

What We Offer

• Dynamic and technology-driven working environment
• Opportunity to work alongside experienced robotics educators
• Exposure to international robotics competitions and STEM education systems
• Stable long-term part-time opportunity
• Career growth opportunities within the robotics and AI education industry

Working Schedule

• Full day on Saturdays and Sundays (fixed weekend schedule)

We are seeking an innovative and technically skilled researcher to join our team, specializing in adaptive machining. is a key technology for generative and regenerative applications at the heart of ARTC’s remanufacturing and manufacturing research. We are looking for people with the passion and drive to join us as part of the Remanufacturing Process Technology (RPT) Group. The scope of the role will be to work on research in advancing machining technologies by integrating adaptive techniques, leveraging knowledge in CNC machining, CAD/CAM programming, software development, and basic Artificial Intelligence (AI) concepts. This role provides an exciting opportunity to contribute to cutting-edge research aimed at improving efficiency, precision, and sustainability in machining processes.

Responsibilities:

• Perform research, conduct experimental work and analysis in a project-based environment
• Lead / Support the technical execution and delivery of projects, including project scoping activities and industrial customer engagement as well as capability development in line with the technical roadmap of the Group and Division, fostering collaboration with other teams / groups / research entities as needed
• Conduct research on adaptive machining techniques, including automated decision-making systems, dynamic process adjustments, toolpath optimization, scanning and data gathering technologies, and machine to machine communication.
• Algorithm Development: Design, develop, and implement algorithms for 3D data analysis for feature recognition and machining strategy selection for automatic tool path generation, and adaptive machining. Collaborate with cross-functional teams to integrate these algorithms into existing machining systems.
• Data Analysis: Analyse large datasets generated from machining operations to identify patterns, anomalies, and optimization opportunities. Develop predictive models to optimize machining parameters and improve overall efficiency.
• Documentation and Reporting: Prepare technical reports, documentation, and presentations to communicate research findings, project progress, and recommendations to stakeholders. Publish research papers in relevant journals and present findings at conferences and seminars.
• Technical Innovation Culture: Mentor and coach interns, fostering a culture of technical innovation and excellence.
• Any other ad-hoc work for the team, Group, Organisation and A*STAR with possible secondary roles

Job Requirements:

• At least a Bachelor’s Degree in in Mechanical Engineering, Manufacturing Engineering, Computer Science, or a related field.
• Prior experience of CNC machining, familiarity with machining processes and equipment, knowledge of machine communication (OPC-UA, TCP/IP) is advantageous.
• Proficiency in CAD/CAM/CAE software, preferably in Siemens NX / Solidworks / PowerMill
• Proficiency and/or knowledge in programming languages such as Python, VB.Net, C#, C++, MatLab, etc.
• Preferably with experience working in an industry-driven R&D environment
• Fluency in English with good written, spoken and comprehension skills
• Ability to communicate, interact and work professionally in a collaborative environment as a team player
• Ability to work in a dynamic fast-paced environment in an agile manner to adapt to fast-changing requirements of internal and external stakeholders
• Ability to think critically and is problem-solving oriented
• Ability to work effectively and independently
• Ability to demonstrate high level of initiative to learn and adapt new technologies to stay relevant

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Salary: up to $4500

Working Days & Hours: Mon-Fri office hours

Location: Queenstown

Job Description:

* Manage service point operations assigned

* Responsible for daily operations of these service points, including front counter services, administrative / operational matters and partnering Nurse Manager and other stakeholders to solve system and process problems

* Work with other department managers to ensure a positive experience for patients along the continuum of care

* Ensuring facilities are patient friendly and safe

* Partner the department managers (Ops & Admin) in achieving customer satisfaction targets

* Responsible for devising innovative services to continually improve service levels and delight customers

* Responsible for achieving volume and financial targets for clinical targets assigned. Develop and carry out business plans in conjunction with clinical chiefs to ensure that goals are reached

* Manage business through annual financial budgeting and regular reviews with clinical heads, and development of new business

* Manage a group of non-nursing staff providing services in service points.

* Conduct appraisals for non-nursing staff

* Ensure that non-nursing staff receive appropriate induction, orientation and training so that they possess appropriate skills and knowledge to carry out their jobs.

* Responsible for staff recruitment and retention to achieve stable, skilled and motivated workforce and achieve the desired customer and business outcomes.

* Responsible for two-way communication between staff and management and ensure timely dissemination of information, escalation of issues and recommending solutions to problems

* Participate in committees and other tasks as assigned

Job Requirements: Min Degree in any course

Interested candidates, please submit your resume to: allylok@recruitexpress.com.sg

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

allylok@recruitexpress.com.sg

About the Role:

An exciting opportunity has arisen to join our Cloud Infrastructure Platform and Solutions (CIPS) Research Team. Our CIPS Research team is focused on developing future technology systems to support growth in the rapidly evolving data center industry. The successful candidate will be directly involved in early-stage research projects, working with academic institutions, suppliers, customers, and partners to deliver proof of concept designs.

Key Responsibilities:

• Monitor market trends and research to identify breakthrough opportunities in power architectures and converter topologies for data centers.
• Drive technical excellence across design, modelling, simulation, prototyping and performance testing of new power conversion topologies, control schemes and components.
• Oversee critical design reviews and own technical project direction.
• Represent the company as a subject matter expert when engaging with suppliers, customers, and partners.
• Help to create, review and improve research project processes, from idea creation to project transfer deliverables.
• Identify the skills needed in the team and support recruitment of suitable engineers.
• Work with a commitment to continuous improvement, transparency, and technical expertise.
• Work as a hands-on individual contributor, researching key topics and delivering ideas, designs, and documentation.

Requirements:

• PhD or Master’s degree in Electrical / Electronic Engineering or related field.
• 5+ years’ experience in power electronics research, with increasing mentorship responsibilities.
• Expertise in power electronics, including common topologies, magnetics, control schemes and components.
• Experience with architecture drawings, electronic schematics, component datasheets and PCB layout drawings.
• Knowledge of embedded software (C/C++) and coding practices is preferred.
• Hands-on prototyping and testing experience using oscilloscopes, electronic loads and power analysers.
• Familiarity with SiC/GaN devices, EMI, HVDC, solid state transformers, thermal design and regulatory standards.
• Expertise in using simulation tools (MATLAB, Simulink, LTspice, Python, etc).
• Strong analytical, problem-solving, leadership and communication skills.
• Demonstrated passion for innovation and commitment to continuous learning.

Why Join Us:

• Work in a world-class R&D environment with well-equipped labs, top-tier industry connections and collaborative teams.
• Shape the future of energy-efficient data storage and AI cloud computing – from renewable energy integration to next generation infrastructure.
• Opportunities to publish, patent and innovate designs for future products.
• Competitive compensation, research autonomy and a continuous learning culture.

About the Role:

An exciting opportunity has arisen to join our Cloud Infrastructure Platform and Solutions (CIPS) Research Team. Our CIPS Research team is focused on developing future technology systems to support growth in the rapidly evolving data center sector. The successful candidate will be directly involved in early-stage research projects, working with academic institutions, suppliers, customers, and partners to deliver proof of concept designs.

Key Responsibilities:

• Fundamental Research – Complete literature reviews and studies to explore existing and future hardware topologies, components and control methods.
• Ideation – Identify problems, future needs or market gaps to establish areas of interest.
• Project Definition – Produce clear target requirements that the solution must meet.
• Concept Proposal – Generate multiple potential design concepts and choose the best solution based on the defined requirements and feasibility analysis.
• Proof of Concept – Create detailed designs, complete simulations and build test setups to demonstrate the technical feasibility of the proposed system.
• Documentation – Write research reports, design guides, patents and performance reports.

Requirements:

• PhD or Master’s degree in Electrical / Electronics Engineering or related field.
• Strong understanding of electronics hardware design and common power electronic architectures (AC/DC, DC/AC, DC/DC, etc).
• Experience with architecture drawings, electronic schematics, component datasheets and PCB layout drawings.
• Knowledge of embedded software (C/C++) and coding practices is preferred.
• Hands-on prototyping and testing experience using oscilloscopes, electronic loads and power analysers.
• Familiarity with SiC/GaN devices, magnetics design, EMI, and thermal management.
• Expertise in using simulation tools to aid the development and assessment of the proposed solution (MATLAB, Python, Simulink, LTspice, etc.)
• Strong analytical, problem-solving, and communication skills.
• Demonstrated passion for innovation and commitment to continuous learning.
• We welcome applicants at all experience levels, from recent graduates to seasoned professionals.

Why Join Us:

• Work in a world-class R&D environment with well-equipped labs, top-tier industry connections and collaborative teams.
• Shape the future of energy-efficient data storage and AI cloud computing – from renewable energy integration to next generation infrastructure.
• Opportunities to publish, patent and innovate designs for future products.
• Competitive compensation, research autonomy and a continuous learning culture.

About EIPA

The EDHEC Infrastructure & Private Assets Research Institute is an applied research centre focused on improving the way private assets are measured, valued and understood by institutional investors, regulators and market participants.

Our work challenges flawed practices in private asset investing anddevelops more scientific, transparent and robust approaches to valuation, risk measurement, performance attribution and alpha measurement. Current research priorities include private asset valuation accuracy, fair value practices,private equity volatility, private debt risk, factor models for infrastructure and private equity and alpha measurement.

We are looking to recruit Senior Research Engineers to strengthen our research capacity and turn ambitious private-assets research ideas into rigorous empirical outputs,working papers, academic journal submissions and practitioner-facing publications.

The role

The Senior Research Engineer will work at the intersection of private assets, empirical finance, quantitative methods, data engineering and academic research.

The successful candidate will build and analyse data sets across private equity, infrastructure, private debt and related alternative asset classes. They will take ownership of empirical work on topics such as valuation accuracy, private asset volatility,performance attribution, factor exposures, GP behaviour, private-market alpha and risk estimation.

Key responsibilities

The Senior Research Engineer will:

• Work with EIPA researchers to design, implement and test empirical research methods in private assets.
• Build and maintain research datasets using sources such as company accounts, transaction databases, regulatory filings, fund disclosures, valuation records and commercial private-market databases.
• Lead and execute empirical analysis for working papers, policy papers, insight papers and academic journal submissions.
• Translate research questions into robust empirical designs, including regression analysis, panel data methods, difference-in-differences, factor models, event studies, network analysis and other quantitative techniques.
• Develop research on private asset valuation accuracy, fair value practices, volatility estimation, alpha measurement, private equity value creation, private debt risk and infrastructure expected returns.
• Develop reproducible research code, data pipelines and documentation that allow results to be audited, replicated and extended.
• Prepare publication-quality tables, figures, robustness checks and methodological appendices for academic papers.
• Identify data limitations, measurement problems and methodological weaknesses in existing private-market research.
• Draft sections of research papers, especially methodology, data, empirical results and robustness sections.
• Drive publication efforts in academic and practitioner outlets, including responding to referee comments and revising empirical analysis where required.
• Collaborate with internal teams and external academic or industry partners where appropriate.
• Mentor junior researchers, analysts or research assistants on coding, data quality and empirical methods.

Current research areas

The role will advance EIPA’s research pipeline across three broad areas.

Valuation and transparency

This includes work on the accuracy of private asset valuations, fair value practices, ASC 820 / IFRS 13 Level 3 disclosures, valuation policy,valuation back testing, listed private equity fund holdings, BDC mark accuracy and the incorporation of climate risks into infrastructure valuations.

Risk measurement

This includes work on private asset volatility, private debt spreads, BDC loan concentration, network analysis of private asset markets, total portfolio risk management and improved estimation of systematic risk ininfrastructure and private equity.

Alpha and performance measurement

This includes research on private-market alpha, return attribution,secondary buyouts, GP de-risking and factor timing, private equity value creation, mimicking finance for private assets and the construction of large-scale private equity datasets.

Required experience

Candidates should have:

• Strong exposure to private assets, alternative investments or institutional investment research.
• Strong ability to work with researchers and quantitative methods.
• Demonstrated experience conducting empirical research, ideally in finance, economics, accounting, investment management or a related field.
• The ability to produce research that can be submitted to academic journals, including familiarity with empirical research standards, robustness testing, literature positioning and academic writing.
• Advanced programming ability, preferably in Python and/or R.
• Strong data skills, including experience with messy, incomplete and multi-source datasets.
• Good knowledge of econometrics, statistics or quantitative finance.
• Experience with SQL or structured databases.
• Strong understanding of reproducible research practices, including version control, documentation, code review and testing.
• Ability to explain technical methods and empirical results clearly to both academic and non-technical audiences.
• Excellent written English and the ability to write directly for research papers.

Desirable experience
The following would be particularly valuable:

• Familiarity with the literature in private assets, alternative investments or institutional investment, including private equity, infrastructure, private debt, real estate, private credit, project finance, asset management, pension funds, sovereign wealth funds, investment consulting or private-market data providers.
• A PhD or research master’s degree in finance, economics, accounting, statistics, data science, engineering, mathematics or a related discipline.
• Previous publication record in academic journals, working papers, SSRN papers or high-quality applied research.
• Experience with private equity datasets such as Orbis, PitchBook, Preqin, Capital IQ, Burgiss, EDGAR filings or fund-level datasets.
• Experience with valuation research, fair value accounting, Level 3 assets, ASC 820, IFRS 13 or private-market NAV reporting.
• Experience with asset pricing, factor models, return attribution, volatility estimation or total portfolio risk models.
• Experience with panel data, causal inference, difference-in-differences, event studies, machine learning, network analysis or NLP.
• Knowledge of infrastructure finance, regulated utilities, private debt or BDCs.
• Experience collaborating with academic co-authors or responding to journal referee reports.
• Experience producing both academic papers and practitioner-facing research.

Candidate profile

We are looking for someone who is intellectually rigorous, empirically minded and comfortable working on difficult private-market problems where the data are imperfect and the methodology matters.

The ideal candidate will be able to move between code, data, financial theory and research writing. They should be comfortable asking whether a resultis economically meaningful, whether a model is correctly specified, whether a dataset is biased, and whether the evidence is strong enough for publication.

This role would suit a research engineer, empirical finance researcher,quantitative analyst, data scientist or applied economist who wants to work on high-impact private-assets research with both academic and industry relevance.

Technical skills

The ideal candidate should have strong skills in several of the following:

• Python and/or R
• SQL
• Git / GitHub
• Econometric and statistical modelling
• Panel data methods
• Data cleaning and entity resolution
• Financial statement data
• Regulatory filings and disclosure data
• Private-market transaction and fund data
• Reproducible research workflows
• Research documentation and methodological appendices

Knowledge of graph databases, network analysis, machine learning, cloud platforms or large-scale data pipelines would be helpful but is not essential.

Why join EIPA?

This is an opportunity to work on some of the most important unresolved questions in private markets: how private assets should be valued, how riskythey really are, whether managers generate genuine alpha, and how institutional investors should measure performance and allocate capital.

The role offers the chance to produce research that is academically credible, practically relevant and directly connected to major debates in private asset investing.

Application

Applicants should submit a CV and a short cover letter (pdf format) explaining:

• Their experience in private assets or alternative investments.
• Their experience with empirical research and quantitative methods.
• Their programming and data skills.
• Their publication experience or ability to write for academic journal submissions.

Please note: Only shortlisted candidates will be contacted. If you do not hear from us within 21days, please assume your application has not been successful on this occasion.

Applicants can send your resume to recruitment@edhec-dbd.com

• Well Established Company
• Basic $2500 - $3200 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Changi Airfreight Centre
• Working hours: Monday to Friday (9am to 6pm)
• TRAINING PROVIDED

Job Responsibilities:

• Handle daily operations documentation like import and export permit, Air Waybills and Bill of Lading
• Monitor import and export shipments
• Coordinate with internal teams and external partners to optimize logistics operations
• Perform other assigned duties

Job Requirements:

• Possess minimum GCE ‘N’ or ‘O’ level qualification
• Training provided for those lesser/without experience

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

LIONG ZHAO GUAN (R22107632)
EA Recruitment Pte Ltd
EA License No: 21C0492

Salary: up to $4500

Working Days & Hours: Mon-Fri office hours

Location: Queenstown

Job Description:

* Manage service point operations assigned

* Responsible for daily operations of these service points, including front counter services, administrative / operational matters and partnering Nurse Manager and other stakeholders to solve system and process problems

* Work with other department managers to ensure a positive experience for patients along the continuum of care

* Ensuring facilities are patient friendly and safe

* Partner the department managers (Ops & Admin) in achieving customer satisfaction targets

* Responsible for devising innovative services to continually improve service levels and delight customers

* Responsible for achieving volume and financial targets for clinical targets assigned. Develop and carry out business plans in conjunction with clinical chiefs to ensure that goals are reached

* Manage business through annual financial budgeting and regular reviews with clinical heads, and development of new business

* Manage a group of non-nursing staff providing services in service points.

* Conduct appraisals for non-nursing staff

* Ensure that non-nursing staff receive appropriate induction, orientation and training so that they possess appropriate skills and knowledge to carry out their jobs.

* Responsible for staff recruitment and retention to achieve stable, skilled and motivated workforce and achieve the desired customer and business outcomes.

* Responsible for two-way communication between staff and management and ensure timely dissemination of information, escalation of issues and recommending solutions to problems

* Participate in committees and other tasks as assigned

Job Requirements: Min Degree in any course

Interested candidates, please submit your resume to: allylok@recruitexpress.com.sg

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

allylok@recruitexpress.com.sg

Our esteemed client in the Transportation/ Logistics industry is seeking a Junior Trade & Pricing Executive to join their dynamic team:

• Employment Type: Permanent
• Position: Junior Trade & Pricing Executive
• Location: Central
• Working Hours: Monday to Friday, 9am to 6pm
• Salary Package: Basic + Bonus

Job Responsibilities:

• Assist in the preparation and management of pricing for international services.
• Support the coordination of import/export documentation and processes.
• Help handle the required shipping and trade documentation for compliance.
• Act as a supportive liaison for communication with overseas agents and partners.
• Assist in resolving operational and pricing-related inquiries.
• Ensure all assigned tasks follow established trade regulations and procedures.

Job Requirements:

• Diploma in International Business, Logistics, Supply Chain, or a related field.
• At least 1 year of experience in logistics, freight forwarding, trade operations are preferred. Inexperienced candidates with a strong academic foundation or internship experience are encouraged to apply as training will be provided.
• A basic understanding of international trade or logistics processes is beneficial.
• Willingness to learn and engage in pricing and operational discussions.
• Proficient with Microsoft Office (Excel and Outlook).

Ready to apply? Here’s how: 

• Click the APPLY button, or 
• Email your resume (in MS Word or PDF format) to adelin@intuitrecruitment.com. Include the job title in your email subject line for prompt processing. 

Only shortlisted candidates will be notified. 

By submitting your application, you consent to the collection and use of your personal dataunder Personal Data Protection Act (PDPA). 

Adelin Chong | EA Personnel Reg No.: R1875641 

Intuit Recruitment Pte Ltd | EA License No.: 25C2793 

• Well Established Company
• Basic $2600 - $3200 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Changi Airfreight Centre
• Working hours: Monday to Friday (9am to 6pm)
• TRAINING PROVIDED

Job Responsibilities:

• Handle daily operations documentation like import and export permit, Air Waybills and Bill of Lading
• Monitor import and export shipments
• Coordinate with internal teams and external partners to optimize logistics operations
• Perform other assigned duties

Job Requirements:

• Possess minimum GCE ‘N’ or ‘O’ level qualification
• Training provided for those lesser/without experience

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

LIONG ZHAO GUAN (R22107632)
EA Recruitment Pte Ltd
EA License No: 21C0492