Total 4,356 job vacancies in Singapore

Job Description:

We are seeking a highly motivated and talented Research Fellow to join our interdisciplinary research team. The successful candidate will conduct cutting-edge theoretical and computational research in the following areas:

Research Areas:

1. Electromagnetism and Plasmonics: Theory and computational modeling of electromagnetism in complex media, plasmonic systems, and metamaterials, with a particular focus on cavity quantum electrodynamics (QED) and interactions between light and matter at the nanoscale.
2. Inverse Design in Nanophotonics and Quantum Nanophotonics: Application of inverse design techniques to optimize and design novel photonic structures and devices, including metasurfaces, photonic crystals, and quantum nanophotonic systems.
3. Plasma and Magnetohydrodynamics (MHD) Modeling: Development and application of advanced plasma modeling tools, such as particle-in-cell (PIC) simulations and magnetohydrodynamics (MHD), to study their interaction with plasmonic or excitonic systems.
4. Novel Optoelectronic Effects: Investigation of new optoelectronic phenomena in low-dimensional materials (e.g., 2D materials, nanowires, and quantum dots) and time crystals, focusing on their potential applications in next-generation devices.
5. Non-Hermitian and Topological Photonics: Study of non-Hermitian systems and topological photonics, including the exploration of novel phenomena such as exceptional points, edge states, and robust modes in photonic systems.

Key Responsibilities:

• Develop and implement theoretical models to describe complex physical systems in the research areas mentioned above.
• Conduct large-scale numerical simulations to study the behavior of plasmonic, nanophotonic, and optoelectronic systems.
• Analyze and interpret simulation results, developing insights into novel physical phenomena.
• Collaborate closely with experimental researchers, providing theoretical guidance and feedback on ongoing experimental work.
• Publish research findings in high-impact, peer-reviewed journals.
• Present research results at internal seminars, conferences, and workshops.
• Contribute to the development of computational tools and code libraries for the group's research.

Qualifications and Skills:

Required:

• A Ph.D. in Physics, Applied Physics, Engineering, Applied Mathematics, or a closely related field. Strong background in electromagnetism, quantum mechanics, solid-state physics, and material sciences.
• Solid experience in computational physics, with proficiency in numerical simulation techniques such as finite-difference-time-domain (FDTD), finite-element method (FEM), particle-in-cell (PIC) simulations, and magnetohydrodynamics (MHD).
• Ability to develop and modify simulation codes to model complex, multi-physics systems.
• Strong analytical and problem-solving skills, with the ability to derive and solve equations analytically or numerically.
• Excellent written and verbal communication skills, with a demonstrated ability to write high-quality research papers and present complex ideas clearly.

Preferred:

• A strong publication record in top-tier journals in related fields.
• Experience with advanced simulation software (e.g., COMSOL, Lumerical, CST, or similar platforms).
• Familiarity with machine learning or artificial intelligence techniques for inverse design and optimization in nanophotonics is a plus.
• Ability to work independently and as part of an interdisciplinary team.
• Demonstrated creativity and innovation in solving complex theoretical and computational problems.
• Experience in collaborative research with experimentalists or other research groups is highly desirable.

Job Responsibilities:

• Manage research data and keep up-to-date research records, be able to perform data analyses and critically interpret generated data, and summarise research findings.
• Search and sort out literature and database, identify key findings of previous research, and be able to paraphrase and consolidate key concepts of literature.
• Conduct data collection independently (survey, classroom observation, FGD, interview, spoken and written language data).
• Process and generate descriptive data from surveys, classroom observation, FGDs, interviews and corpora independently.
• Be able to construct teaching plans or test items independently.
• Be able to design research tools for school-based project.
• Project administration tasks such as scheduling and liaise with schools.
• Be able to develop and maintain co-operative working relationships with Principal Investigator, colleagues and collaborators, be able to give feedback and share ideas or experience with others, and resolve problems in most situations.
• Be able to report clearly on design and progress of research project.
• Write research reports and papers, and be able to produce relevant write-ups for proposals under PI’s supervision.

Job Requirements:

• Master’s degree or equivalent.
• Excellent organizational skills and able to work independently within given deadlines.
• Experience in working with teachers and students in Singapore schools.
• Excellent problem-solving skills and project management skills.
• Basic statistical knowledge and skills.
• Good theoretical knowledge of research designs in general.
• Good IT skills.
• Strong interpersonal, written and verbal communication skills in both English and Mandarin, to liaise with Mandarin-speaking associates.
• Basic knowledge in Chinese Linguistics and Language Teaching and Learning.

(All applications will be in strict confidence. We regret that only short-listed candidates will be notified.)

Job Description

• Industry/ Organization Type: Audit Firm
• Position Title: Audit Associate / Audit Senior
• Working Location: Central
• Working Hours: 5 days (Mon to Fri: 8:45am – 6:00pm)
• Salary Package: Basic + Variable Bonus
• Duration: Permanent

Key Responsibilities

• Assist Audit Seniors / Supervisors.
• Complete audit assignments independently.
• Drafting of complete set of financial statements.
• Assist in special assignments such as due diligence.
• Any other task as assigned by the Superior.

APPLY NOW!!!

• Bachelor’s degree in accountancy/finance.
• Minimum 2 year and above of practical Audit Assurance experience.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #74038 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Rachael Lee | EA Reg No.: R2093131

Job Description

The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI.

Dr. Xiaoyu Song’s laboratory at Duke-NUS Medical School is seeking a motivated Research Assistant or Research Associate to support ongoing projects in biostatistics, bioinformatics, computational biology, artificial intelligence (AI), and multi-omics data analysis.

The successful candidate will join an interdisciplinary team developing statistical, computational, and AI-driven approaches to analyse complex biomedical data. Research areas may include bulk and single-cell omics, spatial transcriptomics, proteogenomics, and integrative AI models to advance understanding of complex human diseases.

Depending on experience and training, the candidate will contribute to data analysis, model development and implementation, literature review, interpretation of results, and coordination of research activities.

Key Responsibilities:

• Assist with data cleaning, management, processing, and analysis of biomedical and omics datasets.
• Support the implementation, testing, and application of statistical, computational, or AI-based methods.
• Contribute to the development, evaluation, and interpretation of statistical or AI models under supervision.
• Conduct literature reviews and summarise key research findings.
• Prepare tables, figures, presentations, and written summaries of research results.
• Collaborate with interdisciplinary team members, including biostatisticians, clinicians, biologists, students, and research staff.
• Contribute to the preparation of manuscripts and reports, as appropriate.
• Provide support for project coordination and routine administrative tasks, including scheduling meetings, organising materials, tracking timelines, and preparing documentation for reports or submissions.
• Maintain accurate and organised research records and documentation.
• Perform other related duties incidental to the work described herein.

Job Requirements

• Bachelor’s or Master’s degree in Biostatistics, Statistics, Bioinformatics, Computational Biology, Data Science, Computer Science, Artificial Intelligence, Life Sciences, or a related field.
• Strong foundation in statistical modelling, machine learning, or high-dimensional data analysis.
• Prior experience in data analysis, statistical programming, machine learning, or computational research is preferred.
• Proficiency in R, Python, or similar programming languages.
• Ability to work both independently and collaboratively in a research environment.
• Prior exposure to genomics, transcriptomics, single-cell, imaging, or other biological datasets is advantageous but not required.

We regret that only shortlisted candidates will be notified.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Computer-Science%29/32571-en_GB/?st=D6600C8B411B3E89EE81FF80048283A0B614DF26

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will work with the PI in AI Security.

Job Requirements

• Have a strong background in AI security.
• Have very good programming skills.
• Have a Ph.D. degree in computer science or a related area.
• Published papers on top-tier conferences as the first author.

Job Description

The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI.

Prof. Wang Yibin and Dr. Xiaoyu Song are seeking a highly motivated Research Fellow to join a collaborative, interdisciplinary team focused on statistical, computational, and integrative analysis of metabolomics and other omics data, with applications in cardiovascular and metabolic diseases.

The successful candidate will contribute to interdisciplinary research at the interface of biostatistics, bioinformatics, computational biology, and metabolomics, with applications in translational cardiovascular science. Projects may include developing and applying statistical and AI methods for metabolomics and spatial multi-omics data, integrating multi-modal datasets (genomic, transcriptomic, proteomic, and clinical), and identifying molecular mechanisms, biomarkers, and risk predictors for cardiovascular and metabolic diseases.

This position offers a unique opportunity to work closely with both methodological and biomedical investigators in a highly collaborative environment, and to contribute to impactful research in human disease biology and translational medicine.

Key Responsibilities:

• Design, adapt, and apply statistical, computational, or AI-based methods for metabolomics and multi-omics data analysis.
• Analyse large-scale metabolomics, proteomics, transcriptomics, genomics, imaging, and clinical datasets; interpret results to generate biological and/or clinical insights.
• Contribute to integrative analyses to elucidate molecular mechanisms and identify biomarkers for cardiovascular and metabolic diseases.
• Work closely with biostatisticians, clinicians, biologists, and other collaborators within Duke-NUS and with external partners.
• Prepare oral presentations, written reports, and visual summaries to communicate methodologies, findings, and scientific significance.
• Contribute to and lead preparation of manuscripts for submission to statistical, computational, and biomedical journals.
• Assist in the preparation of grant applications, progress reports, and related research documentation.
• Support project coordination and maintain well-organised documentation of research activities.
• Perform any other related duties incidental to the work described herein.

Job Requirements

• PhD in Biostatistics, Bioinformatics, Computational Biology, Statistics, Data Science, Systems Biology, or a related quantitative field.
• Strong background in statistical modelling, machine learning, bioinformatics, or high-dimensional data analysis.
• Proficiency in programming languages such as R and/or Python.
• Experience in the analysis of metabolomics, spatial omics, or other biomedical datasets is preferred.
• Interest in cardiovascular biology, metabolic disorders, translational medicine, or biomarker discovery is desirable.
• Excellent communication, organisational, and collaborative skills.
• Ability to work both independently and as part of an interdisciplinary research team.
• A strong publication record in peer-reviewed journals is an advantage.

We regret that only shortlisted candidates will be notified.

The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University, is a leading school for Sustainable Built Environment. The school plays an integral role in spearheading tertiary education, advancing research innovations and providing professional services in a number of key disciplines in Civil and Environmental Engineering and Maritime Studies fields, with the objective of contributing to the technological and economic advancement of Singapore and beyond. The school’s mission in research is to achieve excellence by providing a conducive and intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology.

The Research Fellow will contribute to the development of an AI-assisted, data-driven road safety analytics framework. The role involves integrating multi-source transport datasets, developing advanced analytical and machine learning models for risk identification, and supporting the design of evidence-based interventions within a unified GIS-enabled decision-support platform.

Key Responsibilities:

• Integrate and manage multi-source transport datasets, including traffic flow, telematics, road geometry, signal timing, and incident records.

• Develop and implement advanced analytics and AI/ML models to identify road safety risks and spatio-temporal patterns.

• Design and conduct simulation experiments to evaluate proposed safety interventions and quantify their impacts.

Job Requirements:

• PhD degree in transportation engineering or related field

• Expertise in data analytics and computer programming

• Knowledge in traffic safety, urban transportation studies, traffic flow theory, operation research 

• Publication track record must be good

• Proficiency in English - essential for data analysis and communication with stakeholders

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

Job Description

The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI.

Dr. Xiaoyu Song’s laboratory at Duke-NUS Medical School is seeking a motivated Research Fellow with expertise in biostatistics, bioinformatics, or computational biology. The successful candidate will join an interdisciplinary team developing novel statistical methods for multi-omics data analysis. Research areas may include method development for studying the tumour microenvironment using spatial transcriptomics, integrative proteogenomics for causal inference, and AI-driven models for cell-type-aware analysis of bulk omics data.

This position offers an opportunity to work at the forefront of biostatistics and contribute to advancing the understanding of cancer and other complex diseases.

Key Responsibilities:

• Design and develop statistical methods for high-dimensional omics data, including multi-level data (subject, tissue, single-cell) with or without spatial features.
• Analyse large-scale omics datasets, interpret results, and generate biological insights.
• Work closely with national and international collaborators, including biostatisticians, clinicians, biologists, students and other research staff.
• Prepare oral presentations and written reports to evaluate data, explain analysis methods, and interpret results.
• Lead and contribute to high-impact publications in statistical and biomedical journals.
• Assist in the preparation of grant applications and reports for ongoing funded projects.
• Perform other related duties incidental to the work described herein.

Job Requirements

• PhD in Biostatistics, Bioinformatics, Computational Biology, or related fields.
• Strong foundation in AI, statistical modeling, machine learning, or high-dimensional data analysis.
• Proficiency in programming languages such as R, Python, or Julia.
• Excellent communication and collaborative skills.
• Strong publication records in peer-reviewed journals is an advantage.
• Experience with biological data (e.g., genomics, transcriptomics, single-cell data) is an advantage.

We regret that only shortlisted candidates will be notified.

About Cynapse

Cynapse is a leading AI software company specializing in enterprise-grade Video Intelligence Solutions Powered by Generative AI, tailored to meet the unique challenges of various industries. Our vertical-specific solutions empower organizations to enhance safety, operational efficiency, and security in complex environments such as roads, seaports, airports, and cities. By combining advanced Vision AI with Generative AI, we continually push the boundaries of video analytics, delivering insights and automation that transform operations.

Led by a global team with a proven track record of scaling startups into market leaders, we foster innovation, collaboration, and diverse perspectives. Headquartered from US, Cynapse serves clients worldwide, redefining what's possible with video intelligence.

Job Description

We are seeking a talented and highly motivated AI Research & Development Intern to join our AI Product group that delivers innovative Computer Vision solutions to global customers.

You will conform to high standards and work in a cutting-edge, dynamic, and professionally challenging environment.

As part of your role you will:

• Implement practical solutions using Large Language Models (LLMs), foundational Computer Vision (CV) models, and agentic AI to address real-world challenges.
• Conduct rigorous experiments to validate model performance, including data preparation, evaluation, and benchmarking, ensuring reliability and accuracy.
• Develop prototypes and proof-of-concept systems to test innovative ideas and demonstrate their feasibility and value.

Minimum Qualifications:

• Bachelor’s degree (completed or in progress) in Computer Science, Engineering, Mathematics, or a related technical field.
• Familiar with machine learning and deep learning concepts, with hands-on project experience or strong interest in real-world applications.
• Proficient in at least one programming language, and familiar with database systems, Linux environments, Docker, and Git version control tools.
• Excellent analytical, problem-solving, logical reasoning, communication, and teamwork skills.

Duration:

• Available for at least a 6-month internship.
• Able to work at least 4 days a week (Preferably full-time / 5 days a week).
• We are flexible with start and end dates and allow flexibility to accommodate exams, leave etc.

Why join cynapse?

• Hands-on experience working on cutting-edge AI projects.
• Mentorship from experienced engineers and researchers.
• Opportunity to build impactful solutions and contribute to meaningful projects.
• Exciting work environment with flexible hours

Note: Due to the nature of the role, the position is considered for candidates that are only based in Singapore or have experience studying/working in Singapore

About the firm

H.A Christie & Co together with its affiliates, Christie Corporate Services and Christie Cosec Services Pte Ltd are an established boutique accounting firm serving local and international clients across audit and assurance, tax, outsourced services (accounting, company secretarial, GST) and business advisory.

Key Responsibilities may include the following:

• Assist in the compilation of financial statements for clients in accordance with Singapore FRS
• Record financial transactions using accounting software
• Manage close process and prepare monthly/quarterly/annual financial reports
• Prepare corporate income tax and GST returns
• Run monthly payroll
• Upkeep of corporate secretarial records
• Assist audit engagement team by performing various testing procedures

What We Offer:

• Early client exposure and responsibility
• Diverse portfolio of clients (financial services, consumer & retail, manufacturing and technology)
• On-the-job training and continuous learning opportunities
• Clear and structured career progression path within the firm
• AWS (13th month salary) + Variable Bonus (based on company and individual performance)

Requirements:

• A degree in Finance, Accountancy, or a related field, or a recognised professional qualification
• Good understanding of double entry and accounting principles.
• Strong work ethic with a proactive attitude and eagerness to learn

Job Type: Full-time Associate

Start Date: Immediate

How to apply
Send your CV to info@hachristie.com.  Please include your availability and expected salary.

Senior Research Fellow in Computational Modelling of Smart Knitted Textiles

We seek a Senior Research Fellow (3–5 years postdoctoral experience) to join a multidisciplinary team working on computational modelling of knitted textile structures for energy harvesting applications. The postholder will develop and apply advanced modelling and data-driven methods to establish quantitative links between textile architecture and functional performance, working in close collaboration with experimental colleagues.

Key Responsibilities

• Develop and validate computational models of knitted fabric structures, capturing the mechanical behaviour of complex knit architectures under various loading conditions.
• Establish quantitative relationships between textile structural parameters — such as stitch geometry, yarn properties, and knit pattern — and functional energy harvesting performance.
• Apply data-driven and machine learning techniques to accelerate model-based design and reduce reliance on physical prototyping.
• Validate model predictions against experimental data generated by collaborating groups and work closely with fabrication teams to inform design recommendations.
• Contribute to the broader research programme through independent scholarly initiative and collaboration with partner groups.
• Lead dissemination through high-impact journal publications and conference presentations.

Requirements

• PhD in mechanical engineering, materials science, computational mechanics, or a closely related discipline.
• 3–5 years of postdoctoral research experience with a strong publication record.
• Expertise in finite element modelling; experience with textile, fibre, or soft material mechanics is highly desirable.
• Familiarity with energy harvesting mechanisms (e.g., piezoelectric, triboelectric, or thermoelectric) is an advantage.
• Experience with machine learning or data-driven modelling methods is desirable.
• Ability to work independently and provide leadership to junior researchers and graduate students within an interdisciplinary team.
• Excellent written and oral communication skills in English.

About the Position

This is a full-time, 2-year position embedded in a flagship initiative on wearable-embedded embodied AI for healthy ageing and rehabilitation. The postholder will join tripartite collaboration team spanning advanced fiber design, knitting design and advanced signal processing expertise.

Job description

The Duke-NUS Cancer and Stem Cell Biology (CSCB) Programme studies the causes and treatments of cancer and related diseases. The CSCB research groups have diverse programmes in both basic cancer biology and clinical-translational studies, with a special emphasis on cancers that affect the Asian community in general.

A/Prof Nicholas Tolwinski is seeking a Research Fellow to conduct large-scale dataset analysis using machine learning approaches. Our dynamic and growing research group focuses on understanding signal transduction biology and developing interventions to improve health span and quality of life.

• Oversee data collection from molecular and cell biology experiments under the supervision of the Principal Investigator or his designate.
• Conduct RNA sequencing analysis and related bioinformatics workflows.
• Develop biological clock models and computational frameworks.
• Contribute to de novo antibody design using computational approaches.
• Support the development and application of large language models (LLMs) in research.
• Prepare and review research manuscripts; present findings at scientific meetings.
• Conceptualise new research ideas and develop independent research plans with potential for significant impact and funding.
• Provide support for external grant/protocol development, study design and management of research activities.
• Contribute to occasional educational / instructional activities and project management.
• Provide guidance and mentorship to undergraduate / medical students and research assistants.
• Maintain optimal experiment progress in the laboratory or in the research work undertaken.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD and/or post-graduate medical degree with at least 3 years’ relevant research experience and training.
• Entry-level candidates may also be considered.
• Strong knowledge of genetics and molecular biology techniques.
• Proven track record in the form of high-impact publications.
• Demonstrated progressive capability in research independence.
• Strong writing and critical thinking skills, as well as good communication and presentation skills.
• A team player who is able to prioritize, multitask, and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

The School of Physical and Mathematical Sciences (SPMS) at Nanyang Technological University is a leading academic unit in physics, mathematics, chemistry and related interdisciplinary fields. The key objective is to support efforts to advance fundamental and high-impact research.

For more details, please view http://www.ntu.edu.sg/spms.

Join the laboratory of Shilei Ding at SPMS. We are seeking a research fellow to conduct high-impact research on orbital current driven domain wall motion. The role will focus on thin-film deposition and onchip device fabrication, combined with electrical transport measurements to investigate how orbital currents transfer angular momentum to local magnetization and drive magnetic textures.

Key Responsibilities:

• Depositing high quality magnetic thin films

• Performing structural and magnetic characterization

• Fabricating devices using lithography techniques

• Conducting high-field low-temperature electrical transport measurements

• Publish research results in high-impact peer-reviewed journals

• Mentoring PhD, Masters, and undergraduate students

Job Requirements:

• PhD in Physics or a closely related field

• Strong background in experimental condensed matter or material physics, with experience in thin-film deposition, device fabrication, and electrical transport measurements

• Familiarity with the theory of magnetism

• Proficiency in MATLAB/Python and LabVIEW for data acquisition and analysis

• Good written and oral communication skills

• Ability to work collaboratively in a fast-paced research environment

• Experience working with and mentoring PhD, Master, and undergraduate students

• Ability to provide regular progress reports to the PI

• Ability to contribute to the development of research proposals for external funding based on project outcomes

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

Southern Ridges Capital

Southern Ridges Capital is a multi‑billion‑dollar global macro hedge fund with a track record of over seven years of delivering high risk adjust returns through fixed income, currency, commodities and equities trading.

We believe in cultivating a strong, collaborative culture where people are empowered to learn, grow, and do their best work. We are committed to mentoring early-career professionals and giving them the tools, exposure, and guidance to succeed in a dynamic and intellectually challenging environment.

What You’ll Do

As a Macroeconomic Research Analyst, you’ll work closely with our investment team to develop insights and tools that directly support real-time investment decisions. This is a hands-on, learning-intensive role ideal for someone curious about financial markets and passionate about applying data-driven methods to solve complex problems.

Your key responsibilities will include:

• Develop and maintain proprietary macro models covering GDP, inflation, current account dynamics, and monetary policy across G10 and EM economies
• Monitor and synthesize central bank communications (Fed, ECB, BOJ, RBI, BOK, PBoC) to forecast policy trajectories and rate differentials
• Track real-time economic data releases with a focus on deviations from consensus and second-order market implications
• Translate macro views into specific trade recommendations across rates, FX, equities
• Prepare daily/weekly market commentary synthesizing macro developments, central bank signalling, and positioning data
• Monitor global capital flows, speculative positioning (COT, prime brokerage data), and investor sentiment indicators
• Build and maintain relationships with sell-side economists, central bank watchers, and independent macro researchers

What You’ll Gain

• Hands-on Experience: Exposure to live trading environments and real-world investment problems from day one
• Mentorship & Learning: Work closely with seasoned professionals who will support your growth through feedback and collaboration
• Professional Development: Build skills in coding, data analysis, and financial market research
• Impact: See your work contribute directly to the investment process and help drive results

Who We’re Looking For

Technical Skills

• A minimum master’s degree/PHD with a major in economics or a related field
• 2 to 5 years of experience as a macro-economic researcher
• Proficient in Python and/or R
• Familiarity with statistical and econometric concepts

Helpful Experience

• Exposure to macroeconomic or financial data tools like Bloomberg, CEIC, Haver, or Macrobond
• Interest in financial markets and macroeconomic trends

Soft Skills

• A curious, analytical mindset and eagerness to learn
• Strong attention to detail and problem-solving skills
• Clear communication and willingness to ask questions
• A team player who thrives in a collaborative and respectful environment

Why Join Us

At Southern Ridges Capital, you will work closely with the investment team, and you will have the opportunity to contribute to real investment decisions and view your impact. You will gain a wider experience and better understanding of the investment world working in a smaller and more collaborative setup like ours.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Sustainable-Design%29/32638-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Research Assistant will contribute to the development of a focused research study that builds on prior exploratory work and advances new lines of inquiry. The role involves synthesising existing material, extending analysis through targeted investigation, and working closely with supervisors to refine frameworks, arguments, and outputs into a coherent final report.

Qualifications

•    The applicant should have a background in architecture and/or urban design/ urban planning.
•    The applicant should have completed graduate studies (i.e both Bachelors and Masters)

•    The applicant should have previous experience of 1-2 years in the field of design/ planning / research.

•    The applicant should demonstrate strong design and research capabilities, with an ability to link architectural form to broader urban, environmental, and infrastructural systems

•    The applicant  should have a working understanding of carbon in the built environment, including its estimation and representation across scales.
•    The applicant should be proficient in synthesising complex information into clear insights, with strengths in analytical thinking, writing, and visual communication.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research.  With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

We are looking for a talented and responsible researcher to support the scientific research and the engineering practice in perception and embodied intelligence.

Key Responsibilities:

The Research Associate will work on a project to conduct research on development of dexterous hand robotic manipulation system used in household service and manufacturing. The roles of this position include:

• Develop robotic foundation models for general dexterous hand manipulation based on vision-language-action models

• Develop efficient manipulation learning framework from human instructional videos and reduce the data demand for policy learning

• Develop a dexterous hand manipulation system to complete diverse tasks in household environment and in manufacturing deployment scenarios

Job Requirements:

• Master in Electrical and Electronic Engineering, Computer Science or related field

• 1-year research experience in related area

• Expertise in robotic manipulation systems

• Knowledge in robotic foundation models 

• Publication track record is an advantage

• Proficiency in basics of programming languages such as ROS and Python

• Excellent communication skills, written and verbal – able to communicate complex concepts clearly and accurately

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

Associate / Senior Associate, Accounting & Finance

CFO Assist is a boutique Corporate Advisory firm based in Singapore. Established in 2009, our purpose is to partner entrepreneurs, business builders, makers and creators to grow their enterprises. Our expertise steers businesses in various corporate activities including fund-raising, M&A, restructuring, IPO, corporate strategy, financial management and compliance.

We are seeking talented finance professionals to join our team. This is a unique opportunity for candidates who are excited by the prospects of joining a fast-growing firm, with varied projects and being a part of a small and nimble team in Singapore, Malaysia, Indonesia and Dubai.

In this role, you will support the Managers and leadership team in executing projects and jobs in our Corporate Advisory and Financial Management and Corporate Support division.

The ideal candidate will have the following attributes:

• Degree / Diploma in Finance & Accounting or currently pursuing professional Accounting qualification leading to CPA, CA
• At ease with figures and data
• Detail-oriented, highly analytical, independent and has excellent problem-solving skills
• Creative and willing to challenge status quo
• Thrive in fast-paced, fluid environment
• Excellent communicator
• Digitally agile, with a strong aptitude for adopting and applying AI tools to solve business problems
• At minimum, 3 years of relevant working experience with a Big 4
• Work travel is a must

The right candidate can look forward to:

• Competitive remuneration
• Remote working
• Diverse exposure in challenging assignments across various industries in the region and UAE (Dubai)
• Exciting career pathways
• Great learning environment

Why Join Us?

Be part of a fast-growing team performing purpose-led work!  We handle a range of assignments in corporate advisory and financial management, always driven by impactful solutions so that our clients continue to forge ahead. We offer great learning opportunities, competitive package and exciting career pathways. Working closely with our clients, you will be exposed to and participate in corporate thought leadership, business strategy while also be handling the nuts and bolts of what makes a great finance and accounting function for enterprises. 

Our team is fully remote and works across Singapore, Malaysia and Indonesia and travels regularly to meet with our clients.

COMPANY DESCRIPTION

KOTRA Singapore has been committed to promoting the mutual prosperity between Korea and Singapore business communities since its establishment in 1964. Our trade promotion activities focus on organizing and coordinating trade missions, participation in exhibitions, hosting Korean products shows, business tour groups to events in Korea, etc.

RESPONSIBILITIES

- Assist for sales and trading activities in Singapore for Korea based SME clients.

- Conduct market research and write reports (Korean preferred) on Singapore's market trends (across all industries), trade & investment related issues, etc.

- Analyze trading trends and produce related reports

- Provide daily news brief and write newsletter (Korean preferred) which is sent to over on thousand companies both in Korea and Singapore

- Support and assist the head of the market research department

- Bachelor's degree or equivalent in relevant fields (business or economic majors are preferred)

- Proficiency in writing and speaking in English and Korean (Preferred)

- Strong communication skills

- Candidates must be diligent and have responsibility with own tasks

- Candidates with immediate availability preferred

- Working Hours: 0830AM-1730PM (Mon-Fri)

- Location: 7 Temasek Boulevard, Suntec Tower 1, Singapore

- Visa sponsorship is not provided

*We regret to inform you that only shortlisted candidates will be notified

• Company: Investment Company

• Location: Central
  

Job Description:

Our Japanese buy-side client is looking for an Analyst to join their team. As a Business Research Analyst, you will be responsible for conducting comprehensive business analyses and market research for our fund investment partners.

Key Responsibilities:

• Conduct thorough business analysis of current and potential investment partners as well as the business environment and regulations of the countries in which they are located at.

• Identify patterns and market trends across industries and regions to assess the feasibility and soundness of the partners' businesses.

• Perform company analysis and provide support for investment projects, ensuring effective post-investment follow-up.

• Conduct research and analysis on potential new investment opportunities.

• Prepare reports and presentations for internal investment committees or community stakeholders.

• Review and evaluate contractual agreements related to investment activities in English.

• Create persuasive slide decks and reports for HQ.

• At HQ's request, visit our collaborating investment partners to better understand their business environment.

• Other ad-hoc duties including general affairs related matters as assigned by the Management.
  

Job Requirements:

• Minimum of 5 years of experience in business research, market research, or a related field.

• Sound understanding of funds and investments.

• With related experience in performing quantitative research on private companies.

• Fluent in Japanese (business level or above) to liaise with Japanese-speaking stakeholders and HQ in Japan will be an advantage.
  

Interested applicants please apply directly for further shortlisting review

We regret that only shortlisted candidates will be notified. Other applications will be updated to our database for future job opportunities.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant%2C-School-of-Computing/32570-en_GB/?st=7DA39663641A4F41E8890083630AD3594C5FF38B

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems

Fuzzing is a powerful technique for finding security vulnerabilities in systems and is used by corporations regularly. In this work, we will study the role of AI in cybersecurity - by aiding fuzzing techniques with large language models.

Tasks

• Conduct Research on AI-Aided Fuzzing: Lead research efforts to explore the integration of large language models (LLMs) with fuzzing techniques for identifying security vulnerabilities in systems. Design experiments and methodologies to evaluate the effectiveness of AI-aided fuzzing in comparison to traditional methods.
• Develop AI Models for Fuzzing Enhancement: Develop and implement AI models, including deep learning architectures, reinforcement learning algorithms, and natural language processing techniques, to enhance fuzzing capabilities. Train these models on relevant datasets to improve their ability to generate meaningful inputs for fuzzing.
• Collaborate with Interdisciplinary Teams: Collaborate with interdisciplinary teams comprising cybersecurity experts, AI researchers and software engineers to integrate AI-aided fuzzing techniques into existing cybersecurity frameworks. Communicate findings and insights effectively to team members and stakeholders.
• Publish Research Findings: Document research findings in academic publications, conference papers, and technical reports. Disseminate knowledge gained from the study of AI in cybersecurity, particularly in the context of fuzzing, to the broader research community through presentations and workshops.

Qualifications

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research

CARTIN is a NRF medium sized center on advanced robotics. CARTIN aims to develop advanced robotics technology for applications in logistics, manufacturing and robots for humans.

For more details, please view https://www.ntu.edu.sg/cartin.

We are looking for a Research Fellow to Develop Localization and Perception System based on Multi-sensor Fusion. The role will focus on developing localization and navigation algorithms for robot in complex environments.

Key Responsibilities:

• Responsible for development of robust and reliable sensor fusion algorithms for localization and navigation algorithms of robot in complex dynamic environments.

• Robot platform and sensor system hardware and software integration.

• Algorithms and systems verification and validation.

• Report writing and presentations.

Job Requirements:

• Possess PhD degree in electrical engineering or related fields

• Extensive experience in robotics and sensor fusion

• Experience in system integration and flight control

• Excellent communication and writing skills

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

The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University, is a leading school for Sustainable Built Environment. The school plays an integral role in spearheading tertiary education, advancing research innovations and providing professional services in a number of key disciplines in Civil and Environmental Engineering and Maritime Studies fields, with the objective of contributing to the technological and economic advancement of Singapore and beyond. The school’s mission in research is to achieve excellence by providing a conducive and intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology.

The Senior Research Fellow will contribute to leading the development of an AI-assisted, data-driven road safety analytics framework. The role involves integrating multi-source transport datasets, developing advanced analytical and machine learning models for risk identification, and supporting the design of evidence-based interventions within a unified GIS-enabled decision-support platform.

Key Responsibilities:

• Lead and drive the overall project execution, including research direction setting, task coordination, and milestone delivery to ensure timely and high-quality outcomes.

• Provide leadership and supervision to the research team, mentoring junior researchers and coordinating collaborations with internal and external stakeholders.

• Integrate and manage multi-source transport datasets, including traffic flow, telematics, road geometry, signal timing, and incident records.

• Develop and implement advanced analytics and AI/ML models to identify road safety risks and spatio-temporal patterns.

• Design and conduct simulation experiments to evaluate proposed safety interventions and quantify their impacts.

Job Requirements:

• PhD degree in transportation engineering or related field

• At least four years of post-doctoral research experience

• Expertise in data analytics and computer programming

• Knowledge in traffic safety, urban transportation studies, traffic flow theory, operation research 

• Publication track record must be good

• Proficiency in English - essential for data analysis and communication with stakeholders

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

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Chemical-Imaging%29-1/32639-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for passionate and self-motivated postdoctoral research fellows to join our multidisciplinary team to work on the rational design of novel nanocatalysts and optical imaging for catalysis. 

The successful candidate will be expected to collaborate with a group of researchers from various disciplines and also assist the principal investigator in guiding junior researchers and graduate students as well as in managing project and laboratory. (https://cde.nus.edu.sg/mse/staff/ming-zhao/;  https://www.mingzhaogroup.com/)  

Qualifications

•    PhD degree in materials, chemistry, chemical engineering, physics, environmental engineering, or any other related fields.
•    Expertise in optical imaging and nanocatalysis
•    Published in reputable international journals. 
•    Responsible and able to work independently. 
•    Good written and spoken communication. 
•    Good team player across multiple disciplines. 
•    < 5 years work experience after obtaining a PhD degree

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

We are looking for a Research Scientist to support the Principal Investigator and interdisciplinary research team in advancing impactful ageing-related research by conducting user-centered studies with senior populations, contributing to the design and evaluation of gamified and AI-enabled interventions, and analyzing behavioral and health outcomes. The role also aims to strengthen the quality, clarity, and impact of research outputs through academic writing, editorial support, training, and effective communication, while facilitating collaboration and ensuring alignment with high scholarly and publication standards.

Key Responsibilities:

• Work closely with the Principal Investigator (PI) and an interdisciplinary research team to support projects such as the Senior Gamification Study and the Frailty and Longevity Study.

• Conduct user research with senior populations, including interviews, surveys, and usability testing.

• Support the design, development, and evaluation of gamification elements, including digital adoption strategies and potential integration of AI-driven personalization.

• Analyze behavioral, engagement, and health-related outcomes across research projects.

• Contribute to academic writing, publications, and dissemination efforts across multiple projects.

• Provide guidance and editorial support for PhD theses, journal articles, conference submissions, and technical reports to ensure clarity, coherence, and high academic standards.

• Review and refine research outputs to ensure quality, consistency, and alignment with publication requirements.

• Develop and deliver training programmes and workshops on academic writing, technical communication, and professional presentation skills for researchers and students.

• Support the preparation of grant proposals, project documentation, and research reports for academic, industry, and funding stakeholders.

• Contribute to the development of best practices, guidelines, and resources to enhance research communication and publication quality within the team.

• Facilitate interdisciplinary collaboration by ensuring clear communication of technical concepts across diverse research and stakeholder groups, where relevant.

Job Requirements:

• PhD degree in English, Communication, Education, or a related discipline, with substantial experience supporting academic or technical research environments (e.g., engineering, IT, or science domains).

• Experience in user research, behavioral studies, or experimental design

• Proven ability to design, lead, and deliver advanced training programmes and workshops in academic writing, technical communication, and research dissemination for diverse audiences, including senior researchers.

• Deep familiarity with international academic publishing standards, peer-review processes, and research funding requirements, with the ability to guide researchers strategically through the publication lifecycle.

• Strong capability to translate complex, interdisciplinary research into clear, compelling narratives tailored to academic, industry, and policy stakeholders.

• Strong communication and analytical skills

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

Job Summary:

We are seeking an experienced investment professional to lead coverage of the Information Technology (IT) sector, focusing primarily on companies listed in the United States and Europe. Based in Singapore, this individual will work closely with the firm’s US/EU investment team and assume responsibility for idea generation, research, and portfolio management within the IT sector. The role offers significant autonomy over stock picking, position sizing and sector positioning—effectively functioning as a sector portfolio manager—while remaining aligned with the team’s collaborative investment process. Our investment horizon tends to be longer term and eschews excessive portfolio turnover or short-term trading.

Job Responsibilities:

• Conduct detailed fundamental research on IT companies across all hardware and software sub-sectors, including semiconductors, infrastructure, applications, and emerging technologies.
• Develop high-conviction investment ideas supported by comprehensive financial analysis, valuation modelling, and industry insight.
• Manage and actively adjust IT sector exposures within the common portfolio, encompassing stock initiation, position sizing, ongoing monitoring and eventual exits, balancing conviction with disciplined risk management.
• Monitor global technology trends, competitive dynamics, and macro/regulatory developments affecting sector fundamentals.
• Collaborate with other members of the team to ensure effective portfolio construction, cross-sector consistency, and performance attribution.
• Regularly present investment recommendations and sector updates
• Support ESG engagement where required by the firm’s investment framework

Job Requirements:

• Minimum 7 years of experience in equity research or portfolio management, with a strong track record covering the Information Technology sector.
• Deep sector understanding across both hardware and software industries; familiarity with global leaders and high-growth innovators in the US and European markets.
• Proven ability to translate research insights into actionable investment decisions and manage sector exposures within a broader portfolio context.
• Ideally experience in a long only, benchmark relative framework
• Strong analytical, valuation, and modelling skills, coupled with sound judgment and communication ability.
• Collaborative mindset consistent with a team-based investment culture.
• Bachelor’s degree required; CFA charterholder or advanced degree (MBA or equivalent) preferred.

Other Information:

Lion Global Investors Limited is committed to equal employment opportunity. Our employment decisions are made based on job requirements and qualifications, and regardless of age, race, gender, religion, marital status, family responsibilities, or disability.

Please refer to our Data Protection Policy Statement on how we may collect, use and disclose your personal information. https://www.lionglobalinvestors.com/en/data-protection-policy-statement.html

Please be informed that only shortlisted candidates will be notified.