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).
• Data preparation, processing, analysis and annotation.
• Development of deep learning and AI-based methods.
• Report writing.
• Statistical analysis.
• Meeting arrangement.
• Presentation.
• Other duties assigned

• Minimum PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines with particular focus on deep learning and AI.
• Minimum 2 years of relevant research experience in deep learning and AL.
• Some knowledge in machine learning, data analysis and statistics.
• Programming in Python will be an advantage.
• Knowledge in large language model prompting.
• Experience with research works is preferred.
• Good analysis and problem-solving skills.
• Applicants with research publications in related areas will be advantageous.
• Self-motivated individual who can work independently and with team members.

#LI-JN2

Description

Flowdesk's mission is to build a global financial institution for digital assets, one designed from the ground up for market integrity and efficiency.

To achieve this in a rapidly evolving market, we apply a disciplined, first-principles approach to everything we do. This approach is embedded in our core services, from institutional liquidity provision, trading solutions, OTC execution to our comprehensive treasury management offerings. This is how we cut through the noise and build robust and scalable systems across all our business lines.

We seek individuals who are driven by this systematic approach. Joining Flowdesk means you will be a key contributor in building and scaling a more transparent and efficient financial markets infrastructure.

Given our rapid growth, we've also launched our Early Talent Program, designed to attract and develop high-potential students through internship experiences. This program aims to build a strong pipeline of future full-time employees who are already aligned with our culture and expectations.

You have strong quantitative analysis skills and you are in search of a challenge in the cryptocurrency environment? Then we have what you're looking for! As a Quant Researcher Intern APAC, you'll have the opportunity to join a team focused on researching, interpreting, and capitalizing on crypto trading markets.

We are looking for someone with a computer science or coding background who would like to develop their skills in the team.

Role and responsibilities

• Provide first-level support to the quant research activities
• Develop and generate post-trade analysis reports
• Assist quant researchers in their day-to-day crypto operations and strategies

Requirements

Background and experience

• University degree or Master, preferably in Quantitative Finance, Computer Science, Engineering, Mathematics, Statistics or related.
• Strong analytical and communication skills
• Knowledge of Python and other coding languages
• Experience with trading or crypto-preferred

Background and experience

• Curious and autonomous
• Highly motivated and results-driven
• Strong maths and analytical skills
• Professional proficiency in English Start Date, starting in July 2026
• What would be the Internship duration ? 6 months (5 days in a week, full time on-site)
• Who is eligible ? Final-year students or recent graduates

Benefits

• Team events and offsites

Recruitment process
Are you interested in this job but feel you haven't ticked all the boxes? Don't hesitate to apply and tell us in the cover letter section why we should meet!

• Here's what you can expect if you apply
• Technical Assessment (80')Technical Interview (45')
• Culture Interview with the HR (30')

On the agenda, discussions rather than trick questions! These moments of exchange will allow you to understand how Flowdesk works and its values. But they are also (and above all) an opportunity for you to present your career path and your expectations for your next job!

We are committed to an inclusive and accessible recruitment process. If you require any reasonable adjustments or have specific needs to enable you to participate fully in the interview or assessment process (e.g., a sign language interpreter, extra time for a test, or an accessible location), please contact us to discuss how we can support you.

Key Responsibilities:

• Teach IB/A-level/IGCSE Mathematics or Science (AA and AI, SL and HL levels) to students in international schools
• Develop and update engaging lesson materials aligned with the respective syllabus
• Guide students in preparing for exams and completing IB Internal Assessments (IA)
• Participate in academic planning and teaching team discussions
• Assist in managing our social media presence, particularly the math content on Xiaohongshu (RedNote)
• Provide content input to math-related posts, study tips, or highlights of student achievements
• Attend teacher meetings and contribute to teaching quality improvement

Requirements:

• Bachelor’s degree or higher in Mathematics, Science, or a related field
• Strong command of English and Mandarin (spoken and written)
• Prior experience teaching international curriculum is preferred
• IB Diploma graduates with a strong background in IB Mathematics are highly encouraged to apply
• Responsible, patient, and able to communicate effectively with students
• Familiarity with Xiaohongshu (RedNote) or a strong interest in content creation is a plus
• Ability to work independently and collaboratively in a team environment

Preferred Skills:

• Familiarity with online teaching tools and platforms.
• Experience in preparing students for university admissions, personal statements, or scholarship applications.

Benefits:

• Competitive salary or internship stipend.
• Opportunity to work in a nurturing educational environment.
• Professional development and career growth opportunities.
• Flexible working hours.

Both full-time and part-time positions are available.

Job Description

We are seeking an Investment Professional to cover investment research in commodities, specifically, base metals and ferrous metals sector.

This role will work closely with the rest of the investment team to conduct in-depth research and analyze data on base metals and ferrous metals market, develop strategic portfolio plans aligned with risk-return objectives, assess and quantify risks associated with investment decisions, and collaborate with cross-functional teams while ensuring compliance with regional regulations.

This role needs to consistently act with integrity, due skill, care and diligence, uphold ethical standards, pay due regard to the interests of investors and treat them fairly by avoiding conflicts of interest.

Requirements

1. Education: Master's degree in finance, economics or a related field.
2. Experience: Minimum 6 years of experience in global base metals and ferrous metals research, trading and risk management.
3. Market Expertise: Deep knowledge of global base metals and ferrous metals markets, supply chains, regulatory frameworks and derivatives market.
4. Technical Skills: Proficiency in fundamental analysis of base metals and ferrous metals market and trading/risk platforms.
5. Soft Skills: Strong analytical thinking, strategic planning, cross-functional communication, and the ability to thrive in fast-paced, volatile environments.

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 design and development of sensor networks and Internet-of-Things (IOT) systems for in-home sensing and machine learning models for analyzing digital biomarkers and human activity data for the purpose of cognitive health monitoring and wellbeing analysis. Successful candidate will join an active research team led by Prof TAN Ah Hwee from School of Computing and Information Systems, Singapore ManagementUniversity.

Candidate's core responsibilities are:

• Project administration, user management
• Design, deployment and maintenance of sensor networks and Internet of Things (IOT) system for in-home sensing of human behaviour and activities
• Integration of in-home sensors, home gateway, and backend cloud servers for data collection
• Development of software for digital biomarker feature extraction and data analytics
• Building of machine learning and predictive models based on digital biomarkers and spatial temporal data
• Documentation and preparation of technical reports
• Other duties as assigned

• Diploma or Bachelor's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from an nstitution of higher learning
• Minimum 1-2 years of relevant research experience with sensors, Internet-of Things, data analytics, artificial intelligence, or related fields
• Good analytical, technical and problem solving skills
• Knowledge/Proficiency in hardware sensors, cloud computing, networking and programming languages, such as Python, Java and C/C++• Competency in application prototype design and development
• Good writing, communication and interpersonal skills

#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).
• Lead and develop independent research directions within the project, including problem formulation, methodological development, and empirical validation.
• Publish research findings in top-tier journals and conferences in Operations Research, AI, and related fields.
• Disseminate research outcomes through presentations and other scholarly channels.
• Contribute to translating research into practice through engagement with policy and industry stakeholders. Mentor graduate and undergraduate researchers involved in related projects.
• Support grant management and project coordination activities.
• Other duties as assigned.

• Applicants should indicate one or more areas of interest aligned with the following themes:
• Pillar 1: Supply Chain, Logistics, and Mobility Systems
  • Human-centered demand forecasting and adaptive inventory management.
  • Fairness-aware and multi-objective optimization for resource allocation.
  • Multi-agent and human-machine collaboration in logistics and transportation systems.
• Pillar 2: Emergency Response and Crisis Management
  • New paradigms for emergency responders and rescue systems.
  • Transfer learning and diffusion-model learning for diffusion/spread processes.
  • Human-centered contact tracing and crowd management.
• Pillar 3: Healthcare Operations and Policy
  • Data-driven modeling of healthcare demand, capacity, and congestion.
  • Design of operational policies under uncertainty (e.g., screening, triage, resource allocation).
  • Integration of behavioral, clinical, and system-level considerations in healthcare delivery.

• PhD (completed by start-date) in Operations Research, Industrial Engineering, Computer Science, Artificial Intelligence, Transportation, Logistics, or a closely related field.
• Strong background in optimization (e.g., integer/combinatorial optimization, stochastic/robust/online optimization, network models, queueing systems, simulation-based optimization).
• Strong background in machine learning (e.g., representation learning, sequence/time-series modeling, probabilistic modeling, or learning under distribution shift).
• Proven research track record (publications, strong writing, ability to frame contributions clearly).
• Solid programming skills; proficient in using AI tools for research.
• Ability to work independently, manage research milestones, and communicate effectively in a collaborative environment.
• Preference for candidate who has
  • Experience with large-scale, constraint decision problems (e.g., operations, mobility, logistics, healthcare, or emergency response)
  • Experience with multi-agent systems, multi-objective optimization, fairness-aware modeling, or human-centered decision-making approaches
  • Experience with reinforcement learning, diffusion or spread models, explainable AI, transfer learning, or learning under non-stationarity or distribution shift
  • Experience in developing reproducible research codebases (e.g., version control, experiment tracking, and documentation)

#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).
• Conduct high-quality research on video deepfake detection.
• Generating/Collecting video deepfake data.
• Implementing deep learning related programs.
• Other duties as assigned.

• Minimum PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines with particular focus on video deepfake detection or video analysis.
• Minimum 2 years of relevant research experience in video analysis.
• Proficiency in programming software/languages such as Python and C++ will be positively considered/ is required.
• Proven track record and professional experience in computer vision.
• Demonstrated experience and know-how on video analysis.
• Excellent working knowledge of video analysis.
• Ability to break down complex problems and design effective solutions.
• Innovating new approaches and thinking outside the box.
• Applicants with strong research publications in deepfake detection area will be advantageous.
• Ability to work cooperatively as part of a small, agile academic research team is essential.
• Self-motivated individual who can work independently and collaboratively with team members.

#LI-JN2

Research Assistant (1-Year Contract)

Job Overview

A government agency in the social service sector is seeking a Research Assistant on a 1-year contract to support research, evaluation and data analytics initiatives. The successful candidate will play a key role in conducting research studies, managing survey projects and generating insights to support policy development, programme planning and service improvement.

This role is suitable for individuals with strong analytical capabilities, an interest in social research and experience working with quantitative datasets. The candidate will work closely with internal stakeholders, research vendors and external partners to support evidence-based decision-making.

Key Responsibilities

Research & Survey Management

• Conduct literature reviews and synthesize research findings to support study design and project objectives.
• Assist in the development of research methodologies, survey instruments and data collection frameworks.
• Coordinate survey fieldwork activities and liaise with vendors to ensure timely project delivery.
• Support research studies and programme evaluations within the social service sector.

Data Analysis & Reporting

• Clean, process and manage survey and administrative datasets.
• Conduct statistical analyses using tools such as SPSS, STATA, R or Python.
• Prepare data outputs including tables, charts and dashboards to support reporting requirements.
• Draft analytical summaries, research reports and presentation materials for stakeholders.

Project Coordination & Stakeholder Management

• Track project timelines, milestones and deliverables to ensure successful project completion.
• Coordinate with internal stakeholders, external research partners and service providers.
• Support procurement, project documentation and administrative requirements where necessary.
• Assist in presenting findings and recommendations to project teams and stakeholders.

Requirements

• Good Degree in Social Sciences, Statistics, Economics, Public Policy, Psychology, Sociology, Data Analytics or a related discipline.
• Familiarity with literature review, research synthesis and survey design methodologies.
• Proficient in data analysis software such as SPSS, STATA, R and/or Python.
• Strong analytical, project management and communication skills.
• Ability to manage multiple projects and timelines effectively.
• Meticulous with strong attention to detail and data accuracy.
• Experience working with longitudinal datasets or large-scale survey projects will be an advantage.
• Prior experience in research, policy, programme evaluation or the social service sector is preferred.

Contract Details

• Employment Type: Contract
• Contract Duration: 1 Year
• Sector: Government / Social Service
• Location: Singapore
• Start Date: Immediate or upon notice completion

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

Justin Lee
Registration No: R22107715
APBA TG Human Resource Pte Ltd
EA License: 14C7275

About the role

The RDM Manager is responsible for managing day-to-day research, data, and Monitoring & Evaluation projects within the RDM function. The role translates departmental plans into concrete project scopes and timelines, oversees execution, and ensures that research and data outputs are robust, timely, and usable by operations and service teams.

The role needs a curious, self-directed problem solver who can clarify ambiguous questions, independently drive projects, engage stakeholders, synthesise and organise evidence, and turn information into actionable insights.

Responsibilities

The role contributes to Mindfull’s community mental health mission by ensuring that research, evaluation, and data initiatives are well-planned, well-executed, and practically useful for decision-making.

• Manage research and evaluation projects

Plan, coordinate, and deliver research and evaluation projects (e.g. outcomes studies, programme evaluations, needs assessments), including defining scope, methodology, timelines and resource requirements.

• Ensure methodological rigour and ethical practice

Develop and/or adapt research instruments, sampling approaches and analysis plans; ensure compliance with research ethics, data privacy and organisational policies.

• Lead analysis, synthesis and insight generation

Clean, manage, and analyse quantitative and qualitative data to identify patterns, implications and recommendations, presenting evidence in reports, dashboards, and presentations that support organisational learning, programme design and decision-making.

• Support data systems and governance

Work with IT and relevant teams to improve data collection processes, data quality checks and documentation; apply agreed data standards, and identify internal policies and SOPs for data governance, research ethics, data privacy, and dissemination.

• Stakeholder engagement and influence

Facilitate discussions with Programme/Services, Comms, HR, Finance and other functions to clarify needs, surface assumptions and co-create solutions. Engage stakeholders across different functions and seniority levels, asking meaningful questions and challenging assumptions constructively where suitable.

• Process improvement and capability-building

Identify opportunities to streamline RDM workflows, templates, and reporting; contribute to data literacy and evidence-use initiatives as assigned by the Deputy Head.

• Drive project planning and delivery

Translate broad objectives into project scopes, workplans, milestones and deliverables, anticipating risks, dependencies and stakeholder needs. Proactively identify and resolve issues that may affect project progress.

Requirements:

(Skills / Knowledge / Abilities)

• 3-5 years’ relevant experience in research, data analytics, evaluation, public policy or related fields, preferably with exposure to social services, healthcare, or public sector settings.

• Strong working knowledge of research methods and/or evaluation frameworks (quantitative and/or qualitative), including hands-on experience in designing studies, managing data and conducting analyses.

• Proficient in data tools (e.g. Excel, statistical software, survey platforms, data visualisation tools) and comfortable working with both numerical and textual data.

• Demonstrated experience leading projects or workstreams independently, including planning, coordinating with multiple stakeholders and delivering outputs to agreed timelines and quality.

• Demonstrated ability to break down ambiguous problems into key questions and information gaps, synthesising information to develop recommendations and options, and communicating reasoning clearly.

• Good written and verbal communication skills, with experience preparing structured reports and presentations for stakeholders of differing levels.

• Organised, detail-oriented and adaptable, able to manage multiple concurrent projects and deadlines.

• Some experience in supervising junior staff or interns will be an advantage.

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).
• Build and maintain end-to-end data pipelines, including data ingestion, cleaning, validation, feature engineering, and dataset versioning.
• Develop and manage research codebases for optimization and machine learning experiments, ensuring reproducibility and scalability.
• Implement optimization algorithms (e.g., LP/MIP, heuristics, decomposition methods, simulation-based approaches) and integrate them with learning components.
• Develop internal tools (e.g., APIs, evaluation frameworks, benchmarking pipelines, dashboards) to support research workflows.
• Support large-scale experimentation, including performance optimization, parallelization, and reproducibility.
• Collaborate closely with researchers to translate conceptual models into robust, reusable implementations
• Other duties as assigned.

• Bachelor's or Master's degree in Computer Science, Software Engineering, Industrial Engineering, Data Science, Operations Research, or a related field.
• Strong programming skills in Python; experience with production-quality code (testing, modular design, version control).
• Experience building data and/or machine learning pipelines (e.g., pandas, SQL, workflow tools).
• Experience implementing algorithms and running large-scale experiments.
• Familiarity with Linux environments, Git, and reproducible workflows (e.g., conda, Docker).
• Proficiency in using AI tools to support development and experimentation.
• Strong problem-solving, communication, and collaboration skills.
• Preference for candidate who is familiar with
  • Optimization tools (e.g., Gurobi, CPLEX, OR-Tools, Pyomo, cvxpy, JuMP)
  • Experience with ML frameworks (e.g., PyTorch, TensorFlow, JAX) and experiment tracking tools (e.g., MLflow, Weights & Biases)
  • Experience with cloud or HPC environments and parallel computing frameworks (e.g., Ray, Dask, MPI)
  • Experience developing internal research tools (e.g., benchmarking systems, evaluation pipelines, dashboards).

#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 Centre for Research on Successful Ageing (ROSA).
• Research and Publications
  • Assist with quantitative data analysis, survey design and research support for research briefs and academic journals.
  • Contribute to research collaborations with government ministries and agencies.
  • Publication of academic papers (co-authoring alongside researchers in economics / sociology / psychology/ data science)
• External Engagements
  • Handle requests for information from researchers and other interested parties related to the panel.
  • Assist with the reports and presentation decks for external audiences and stakeholders.
  • Engage in outreach activities, including:
    • Organising symposiums, workshops, seminars, roundtables andconferences;
    • Community outreach programs;
    • International research collaborations;
    • Fundraisingactivities with private and government organisations.
  • Depending on their abilities and preferences, this person also may represent the Centre externally,whether in the media, professional organisations, government or other forums.
• Other ad-hoc administrative duties as required by the Centre.

• Bachelor's degree (for research assistant) and Master's degree (for research associate).
• Background in economics or social sciences preferred.
• Advanced user of Microsoft Office Suite (Word, Excel, Powerpoint).
• Well-trained in research methods.
• Quantitatively trained, with experience of STATA or SPSS.
• Detail-oriented with exacting standards to maintain accuracy and impartiality in all work products.
• Ability to work independently to carry out special projects from start to finish.
• Ability to balance numerous tasks simultaneously and is organised.
• Clear capacity to train and develop skills in coworkers.
• Ability to work cohesively and effectively in a team setting and take a leadership role in managing the work of colleagues when needed.
• Editorial judgment and proven ability to communicate research methodology and survey results clearly andconcisely in the Centre's style in both verbal and written form.
• Interest in expanding skills to cover new analytical tools and methods.

#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 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 conferences.
• Package the documents, implementation code, evaluation results of the project for 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 Software Engineering/Computer Science/Information Systems.
• Minimum 1 year of relevant research experience in AI for Software Engineering research.
• Research capability as evidenced by tangible deliverables i.e., at least a first-authored papers in major (SCIS A orCORE A or CCF B) conference / journal in the field of AI or software engineering.
• 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 deliverables i.e., at least a first-authored papers in major (SCIS A orCORE A or CCF B) conference / journal in the field of AI or software engineering.

#LI-JN2

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities.

Tower Research Capital seeks a Quantitative Researcher to join one of our trading teams in Singapore. As a Quantitative Researcher, you will be using in-house trading system—one of the fastest and most comprehensive in the world—to develop and deploy algorithmic trading strategies based on patterns in market behavior.

Responsibilities

• Designing, implementing, and deploying high-frequency trading algorithms
• Exploring trading ideas by analyzing market data and market micro-structure for patterns
• Creating tools to analyze data for patterns
• Contributing to libraries of analytical computations to support market data analysis and trading
• Developing, augmenting, and calibrating exchange simulators

Qualifications

• At least a Bachelors Degree in computing, statistics, mathematics or a related field from a top-tier university
• Prior internship experience in financial trading would be advantageous
• Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis)
• Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data
• Good experience with signal generation and statistical models
• Strong programming skills in C++ and Python

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