Total 83 researcher job vacancies in Malaysia

Leveraging Sony’s world-leading sensor technology, Pentas Vision is exploring the integration of AI and advanced sensing in the field of embodied robotics. We are looking for a motivated AI Research Intern to support ongoing research projects in simulation and real-world robotics, helping us validate new sensors and algorithms in embodied AI tasks. 

This position is ideal for students who are passionate about robotics, multimodal perception, and simulation, and who want to gain hands-on experience in cutting-edge embodied intelligence research. 

What you will be doing: 

• Research Exploration: Contribute to research on embodied AI algorithms, focusing on how multimodal sensing (vision, tactile, IMU, event-based, etc.) can enhance robotic intelligence. 

• Sensor-Algorithm Integration: Collaborate with the team to incorporate sensor signals into learning frameworks, studying their effect on control, manipulation, and perception. 

• Simulation Studies: Design and conduct experiments in simulation platforms (e.g., MuJoCo, Isaac Sim, PyBullet) to evaluate and benchmark embodied AI approaches. 

• Sim-to-Real Transfer: Support investigations into transferring policies from simulation to physical robots, including analyzing sim2real gaps. 

What you should have:  

• Currently pursuing or recently completed a Master’s or Ph.D. in Computer Science, Robotics, Electrical/Mechanical Engineering, or a related field, with focus on AI, robotics, or embodied intelligence. 

• Solid understanding of deep learning architectures, with exposure to reinforcement learning, imitation learning, or embodied intelligence. 

• Knowledge of multimodal perception and sensor fusion (e.g., vision + tactile, vision + IMU). 

• Hands-on experience in integrating sensors or working with robotic hardware / ROS pipelines (e.g., data synchronization, calibration, basic debug of hardware–software stack). 

• Experience with at least one simulation framework (e.g., MuJoCo, Isaac Sim, PyBullet). 

• Proficiency in Python, with familiarity in PyTorch or TensorFlow. 

• Strong analytical and problem-solving skills, with the ability to work independently and collaboratively. 

• Strong communication skills. 

Preferred Skills 

• Publications in relevant conferences (e.g., ICRA, IROS, CoRL, RSS, CVPR/ICCV) or strong research project record in embodied AI / robotics. 

• Participation in robotics competitions / AI challenges or demonstrable open-source contributions related to robotics/embodied AI. 

1. Trade Idea Generation and Analysis: Responsible for sourcing, researching, analyzing,and modeling trade ideas, including scenario and risk assessments.
2. Managing Trade Life Cycle: Oversee the entire trade life cycle, from monitoring live trading positions to executing and closing trades.
3. Collaborating and Networking: Work closely with internal teams and build strong relationships with industry peers to enhance trading strategies and opportunities.
4. Staying Informed on Market Drivers: Maintain a well-informed view of the key drivers of Digital Asset prices.

Leveraging Sony’s world-leading sensor technology, Pentas Vision is committed to advancing the deep integration of AI and imaging systems. We are looking for a motivated AI researcher intern to support research and development in image enhancement and next-generation sensor algorithms. This role is ideal for students eager to gain hands-on experience with modern imaging technologies and AI-based image restoration techniques. 

What you will be doing 

• Support the research and development of image enhancement algorithms, including denoising, deblurring, super-resolution, low-light enhancement, and HDR. 

• Explore and evaluate state-of-the-art AI models, including diffusion-based and deep learning–based restoration methods. 

• Assist in prototyping and validating algorithms for advanced image sensor concepts. 

• Perform experiments, analyze results, and prepare technical summaries and visualizations of image quality improvements. 

• Work with real sensor data to test algorithms and contribute to proof-of-concept (PoC) development. 

• Collaborate with the team to support integration and testing of imaging algorithms in larger system pipelines. 

What you should have 

• Bachelor’s degree or above (ongoing or completed) in Electrical Engineering (EE), Computer Science (CS), Computer Engineering (CE), or a related engineering major. 

• Strong interest in image processing, computer vision, or AI-driven imaging applications. 

• Basic programming skills in Python, with familiarity in common ML or CV libraries. 

• Curiosity to explore new algorithms, run experiments, and understand image quality evaluation. 

• Good analytical thinking, attention to detail, and willingness to learn. 

• Effective communication skills and the ability to document findings clearly. 

Preferred Qualifications 

• Exposure to deep learning frameworks (e.g., PyTorch or TensorFlow). 

• Experience with any imaging-related coursework or projects (e.g., super-resolution, denoising, HDR, low-light enhancement). 

• Familiarity with modern image sensor concepts or computational photography is a plus. 

• Interest in diffusion models, generative AI, or modern image restoration research. 

Key Assignment & Projects (Internal reference for school internships only):  

Contribute to AI-driven image enhancement research by experimenting with state-of-the-art restoration models and advanced sensor data to support proof-of-concept algorithm development. 

Are you looking for a career in an inspiring, global environment where your expertise makes a difference? At Neste, you will be working for the world’s leading producer of renewable diesel and sustainable aviation fuel. Together we can help our customers to reduce their greenhouse gas emissions.

We are looking for you,

Researcher, Analytics

to our Analytics team in the R&D department in Neste APAC Innovation Center, Science Park II, Singapore.

You will focus on inorganic materials characterization and analytic; work including various solid and/or liquid materials analyses, project and R&D works, troubleshooting, and method development and validation. In this job you will work closely with other research specialists, research assistants, researchers, experts and project managers and line managers in cross-functional teams mainly from Technology & Innovation, and Production/Refinery. 

In our team, the work is done independently, but support to others and collaboration is essential for our success. You will work engagingly with other teams, i.e Feedstock & Pretreatment, Organic (Analytics), Supply Chain, Quality Control, etc. Together with your expertise, we can do meaningful work to drive Neste forward.

Reasons to join

We operate in an inspiring and evolving business environment as a global leader in renewable fuels. We contribute to Neste’s success by living our values every day: we care, we have courage, we cooperate.

We prioritize safety at all times and in every location. We strive to create a positive and impactful work environment.

Transformation brings new possibilities and fosters our courage and curiosity. As a global  company, we support personal development with versatile learning and career opportunities. Collaboration is key, and we believe in flexible, smart ways of working.

More about the job

Your role in our team

• Introducing elemental and inorganic analytics to the APAC R&D center and being responsible for analyses of a wide variety of samples, analytical method development and contribute to maintenance of laboratory infrastructure.

• Take part in the set up and the development of the analytical laboratory tasks, such as instrument installation, verification/validation and the equipment maintenance and investments. 

• Work in cross-functional teams with other researchers, development engineers and project managers from R&D and stakeholders in e.g. Renewable Products’ supply and the Production, and also with external partners. Our work combines accountability, cooperation, and the desire to develop and renew. Working safely at all times is essential to all of us.

• Holistic responsibility of inorganic analytics activities, reporting, acting possibly as project manager, with R&D mindset.

• Records raw experimental data and prepares spreadsheets for a review. Performs data analysis, interpreting and identifying substances and/or properties in material complexes.

• Be the leading figure in APAC IC Inorganic team to mentor and lead the team into pursuing the best inorganic research analytic in the region.

Keys to success in this role / The best combination to succeed in this role

• M. Sc. / M. S. / Ph.D in Materials Chemistry / Chemistry / Inorganic Chemistry / Analytical Chemistry or a related field from a reputable university. For M. Sc. / M. S. candidate, extensive experience is a must.

• A minimum of 6 years working experience with wide competence in inorganic analytics would be required. 

• Hands-on experience experience in inorganic chemistry, method development, proficiency  testing, and solid/liquid materials characterization techniques including but not limited to;

  • ICP-MS/MS, ICP-OES, CHN, coulometry, XRD, XRF, SEM, FT-IR.

  • Experience in method development and validation. 

  • Solid knowledge and experience in research and troubleshooting.

• A subtle presentation skill: Adept at bridging the gap between high-level chemical analytics and actionable business insights, making the 'invisible' chemistry visible and appealing to all.

• An experience and/or background in artificial intelligence / machine learning would be advantageous.

• Fluent English language skills.

• Responsible attitude, safety-oriented, can-do and R&D-mindset.

Other strengths we value

• Exceptional attention to details and precision in analytical measurement.

• Strong troubleshooting skills for analytical instruments and data processing.

• Ability to distill complex ionorganic chemistry analytical data into clear, actionable insights for technical and non-technical stakeholders.

• Excellent technical writing for research, project and finding reports.

• Artificial intelligence / Machine learning and data analytics in chemistry would be a good surplus. 

Let’s get you started

We look forward to receiving your CV and application (with a salary request) by 27 April 2026.

Due to security and confidentiality, please submit your application through our recruitment system. Applications sent via email will not be considered.

We will do our best to contact you after the application time has ended. The recruitment process will include interviews and a possible aptitude assessment. (The person selected for the position must pass a health examination including a drug test. A security clearance is obtained with your consent.)

Neste in brief

Neste (NESTE, Nasdaq Helsinki) is the world's leading producer of renewable diesel and sustainable aviation fuel (SAF), with production on three continents. The company’s renewables production capacity is expected to reach 6.8 million tons annually in 2027. Neste also produces high-quality oil products at its Porvoo refinery in Finland. The company has a network of nearly 1,000 fuel stations with expanding service offering, such as EV charging, in Finland and in the Baltics.
Neste’s strategy focuses on growth in renewable fuels, which help its customers to reduce their greenhouse gas emissions. Neste is included in many international indices for its sustainability performance. In 2025, Neste's revenue stood at EUR 19.0 billion. Read more: neste.com

Our client, one of Asia-Pacific’s leading organizations is looking for:
UX Researcher and Service Designer 

Responsibilities:

• Responsible for conducting research, analysing data to derive insights to improve citizen service journey experience and inform overall product strategy, development and design decisions
• Conduct in-depth qualitative and quantitative research to uncover needs, behaviours, motivations, and pain points.
• Be adept in generative and evaluative research to understand problem spaces and identify the right problem to tackle.
• Develop and execute comprehensive research plans, including user interviews, surveys, usability testing, and A/B testing.
• Analyse qualitative and quantitative research data to identify trends, patterns, and actionable insights.
• Create compelling research reports and presentations to share findings with cross-functional teams and stakeholders.
• Facilitate workshops and ideation sessions prioritising user needs.
• Apply design thinking principles to creatively solve problems and envision innovative solutions.
• Create customer journey maps and other artefacts to communicate research findings. 
• Collaborate with cross-functional teams to develop a vision, strategy and plan to address key pain points and problems in the customer journey. 
• Apply research insights to design seamless and engaging customer experiences. 
• Collaborate with designers and developers to ensure usability and accessibility of service concepts and products. 
• Define and track key performance indicators or relevant metrics to evaluate product and service effectiveness and identify areas for improvement.
• Keep abreast of the latest research methodologies, tools, and industry trends in both UX research and service design.
• Ensure methodological rigour in all research and service design activities.

Requirements:

• Bachelors Degree in a relevant field with 5+ years of experience in UX Research and Service Design
• Government/Public sector experience is preferred
• Able to conduct user research with data users to understand GIS workflows, needs, and pain points related to maps, dashboards, and data discovery.
• Able to design intuitive map interactions, dashboards, and data discovery experiences; creates service blueprints and user journeys that improve usability and adoption.
• Collaborates with product, GIS, and engineering teams to prototype, test, and iterate interfaces, ensuring accessibility, inclusivity, and consistent data storytelling.

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Interested applicants can also email CV at jagveer@nsearchglobal.com (for faster processing, please state the exact job / position title applied “UX Researcher and Service Designer"

Only shortlisted candidates will be notified.

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EA License Number: 10C3636
EA Personnel Name: Jagveer Singh Arora 
EA Personnel Registration Number: R22109615

By applying for this role, you have read and acknowledge the Data Privacy statement - http://www.nsearchglobal.com/data-protection-notice/

Job Summary

Develop and deploy advanced AI models using machine learning, deep learning, and statistical methods to analyze complex datasets and drive predictive system performance in a quantitative trading environment.

Responsibilities

• Develop AI models by applying machine learning, deep learning, and statistical methods to large-scale datasets
• Analyze complex datasets including text, images, audio, or structured data to identify patterns and build predictive systems
• Apply mathematical foundations such as linear algebra, probability, and optimization to design and enhance AI models
• Implement and train AI/ML models using programming languages like Python, C++, or similar
• Conduct research and experiments to improve model accuracy, efficiency, and generalization
• Design and evaluate algorithms including neural networks, reinforcement learning, and natural language processing models
• Collaborate with engineers and researchers to deploy AI models into production systems
• Utilize Linux environments and cloud platforms (e.g., AWS, GPU clusters) to support training and development workflows

Preferred competencies and qualifications

• Strong programming skills in Python (primary), C++, or Java
• Solid understanding of machine learning, deep learning, statistics, and optimization principles
• Experience with AI frameworks such as PyTorch, TensorFlow, or JAX
• Exposure to AI research or projects through academic work, internships, or industry experience
• Strong mathematical background including linear algebra, calculus, probability, and statistics
• Advanced degree (Master’s or PhD) in Computer Science, AI, Data Science, or related fields preferred; strong Bachelor’s degree also considered

Job Summary

Quantitative researchers design and backtest trading models that form core trading strategies.
They collaborate or work independently, applying creativity and innovation to develop effective quantitative solutions.

Responsibilities

• Design and backtest trading models to develop robust trading strategies that drive investment decisions
• Collaborate with team members or work independently to deliver research projects aligned with strategic goals
• Apply advanced mathematical techniques to analyze data and validate model performance in financial markets
• Develop and implement programming solutions to automate model testing and data analysis processes
• Solve complex quantitative problems to enhance model accuracy and trading effectiveness
• Learn and master complicated quantitative topics to continuously improve research outcomes
• Manage detailed and repetitive tasks with precision to ensure data integrity and model reliability

Preferred competencies and qualifications

• Experience in quantitative research through work, internships, or academic projects
• Familiarity with Linux/Unix operating systems to support research computing environments
• Proficiency in at least one scripting language such as Python or MATLAB to develop and test models

MS Capital is a private fund management company with a strong founding team of long-accumulated experience in strategy modelling, trading system and platform development, adopting advanced artificial intelligence technology as the cornerstone, and enforcing strict investment management, to achieve sustained and stable returns. We are expending the team, searching for experienced candidates have strong background & skills in programing, statistics modelling, data analysis, etc.

Roles & Responsibilities:

· Research and develop international market, secondary market trading and investment strategies

· Leverage programming and analytical tools to drive quantitative strategies through a data-driven approach with continuous iteration

· Extracting patterns from market microstructure, trading, fundamentals, events and other multivariate data to build diversified quantitative strategy models

Qualifications

· Bachelor's degree or above in finance, mathematics / statistics, physics, computer science, engineering or related field

· Familiar with Python / C++ or other high-level programing languages

· Strong communication skills and learning ability.

· Experience in quantitative research, through industry internships, academic, or personal projects.

Plus Points:

· Experienced in using big data to predict and test statistical market models

· Experienced in AI / ML research for quantitative analysis

· Experienced in competitions such as Kaggle, ILSVRC, and other internationally recognised competitions including IMO, IOI, IPhO, etc.

Interested applicants please apply directly here or send your resume to hr@mscapital.sg

Job Summary

Develop and apply fundamental and quantitative research methods to generate trading ideas that drive investment decisions and performance in global equity markets.

Responsibilities

• Develop trading ideas by applying fundamental and quantitative analysis to financial data and market trends
• Analyze financial markets using advanced quantitative, analytical, and problem-solving techniques to identify investment opportunities
• Apply strong mathematical skills to model and interpret complex financial datasets for research and trading strategies
• Utilize programming skills in Python or C++ to implement and test quantitative models and trading algorithms
• Conduct detailed research and maintain accuracy in data analysis to support robust trading decisions
• Collaborate on projects or internships to gain practical experience in quantitative research within financial markets
• Use Linux operating systems to support research and development workflows

Preferred competencies and qualifications

• Experience with Linux operating systems to enhance research efficiency
• Solid programming skills in Python or C++ for quantitative model development
• Industry or quantitative research experience gained through work, internships, or academic projects
• Master’s or PhD degree in finance, accounting, economics, or related fields; exceptional Bachelor’s degree holders considered

MS Capital is a private fund management company with a strong founding team of long-accumulated experience in strategy modelling, trading system and platform development, adopting advanced artificial intelligence technology as the cornerstone, and enforcing strict investment management, to achieve sustained and stable returns. We are expending the team, searching for experienced candidates have strong background & skills in programing, statistics modelling, data analysis, etc.

Roles & Responsibilities:

· Research and develop international market, secondary market trading and investment strategies

· Leverage programming and analytical tools to drive quantitative strategies through a data-driven approach with continuous iteration

· Extracting patterns from market microstructure, trading, fundamentals, events and other multivariate data to build diversified quantitative strategy models

Qualifications

Bachelor's degree or above in finance, mathematics / statistics, physics, computer science, engineering or related field

3+ years of experience in quantitative research, systematic trading, or related domains

Strong proficiency in Python and/or C++ with production-level coding experience (e.g., building research pipelines, backtesting systems, or live trading infrastructure)

Proven track record of developing, validating, and deploying quantitative models in live trading environments

Deep understanding of statistical methods, time-series analysis, and financial data structures

Plus Points

Extensive experience working with large-scale datasets and building robust statistical or machine learning-driven market models

Hands-on experience applying AI/ML techniques (e.g., deep learning, reinforcement learning, LLMs) to alpha generation or portfolio optimization

Experience in designing and optimizing low-latency or high-performance systems for research or trading

Prior experience in top-tier quantitative firms, hedge funds, or leading tech companies

Interested applicants please apply directly here or send your resume to hr@mscapital.sg

Leveraging Sony’s world-leading sensor technology, Pentas Vision is committed to advancing the deep integration of AI and imaging systems. We are looking for a motivated AI researcher intern to support research and development in image enhancement and next-generation sensor algorithms. This role is ideal for students eager to gain hands-on experience with modern imaging technologies and AI-based image restoration techniques. 

What you will be doing 

• Support the research and development of image enhancement algorithms, including denoising, deblurring, super-resolution, low-light enhancement, and HDR. 

• Explore and evaluate state-of-the-art AI models, including diffusion-based and deep learning–based restoration methods. 

• Assist in prototyping and validating algorithms for advanced image sensor concepts. 

• Perform experiments, analyze results, and prepare technical summaries and visualizations of image quality improvements. 

• Work with real sensor data to test algorithms and contribute to proof-of-concept (PoC) development. 

• Collaborate with the team to support integration and testing of imaging algorithms in larger system pipelines. 

What you should have 

• Bachelor’s degree or above (ongoing or completed) in Electrical Engineering (EE), Computer Science (CS), Computer Engineering (CE), or a related engineering major. 

• Strong interest in image processing, computer vision, or AI-driven imaging applications. 

• Basic programming skills in Python, with familiarity in common ML or CV libraries. 

• Curiosity to explore new algorithms, run experiments, and understand image quality evaluation. 

• Good analytical thinking, attention to detail, and willingness to learn. 

• Effective communication skills and the ability to document findings clearly. 

Preferred Qualifications 

• Exposure to deep learning frameworks (e.g., PyTorch or TensorFlow). 

• Experience with any imaging-related coursework or projects (e.g., super-resolution, denoising, HDR, low-light enhancement). 

• Familiarity with modern image sensor concepts or computational photography is a plus. 

• Interest in diffusion models, generative AI, or modern image restoration research. 

Key Assignment & Projects (Internal reference for school internships only):  

Contribute to AI-driven image enhancement research by experimenting with state-of-the-art restoration models and advanced sensor data to support proof-of-concept algorithm development. 

Squarepoint is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. We have deep expertise in trading, technology and operations and attribute our success to rigorous scientific research. As a technology and data-driven firm, we design and build our own cutting-edge systems, from high performance trading platforms to large scale data analysis and compute farms. With offices around the globe, we emphasize true, global collaboration by aligning our investment, technology and operations teams functionally around the world.

Overview of Quant Researcher Position:

• Research and implement strategies within the firm’s automated trading framework.
• Analyze large data sets using advanced statistical methods to identify trading opportunities.
• Develop a strong understanding of market structure of various exchanges and asset classes.

Typical Day of Quant Researcher:

• Primary focus throughout the day is on researching and implementing trading ideas.
• Before market open, check that all required data and related processes are ready for the trading day.
• During market hours, sporadically monitor behavior and performance of strategies.

Skill Set Required For Position:

• Quantitative background - includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics.
• Programming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python).
• Strong communication skills and ability to work well with colleagues across multiple regions.
• Ability to work well under pressure

Overview

Come build community, explore your passions and do your best work at Microsoft. This opportunity will allow you to bring your aspirations, talent, potential - and excitement for the journey ahead. 

Microsoft Research Asia (MSRA) is now poised to extend roles into Singapore and looking for candidates in Foundation Model innovations (LLM, vision, multi-modality, etc.), Deep Learning and Reinforcement Learning Foundation, Industrial AI application (e.g., AI for Healthcare, Embodied AI and Robotics, etc.).  

As Researcher, you will conduct research and leads research collaborations that yield new insights, theories, analyses, data, algorithms, and/or prototypes that advance the state-of-the-art of computer science and engineering, as well as general scientific knowledge. Formulates research problems in an area of study and initiates the design, development, execution, and implementation of a research agenda to further academic knowledge and close identified gaps. Provides expertise to product or business groups and may create long-term business opportunities through research outcomes, but not responsible for addressing immediate product needs or demonstrating a clear path to product. 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.  

Responsibilities

• Collaborates with product and business groups to provide expertise and technology, participates in technology transfer, files patents, authors white papers, and develops tools/services for internal use. May publish research. 
• Bridges the gap between researchers and development teams, bringing new technology and approaches into production to solve immediate product needs. Identifies and applies research-backed solutions to positively impact Microsoft products or services. 
• Gains expertise in specific research subareas and broad research fields, applies advanced concepts to product needs, and consults with engineers and product teams. Researches tools and methods to improve product quality, performance, or efficiency. 
• Reviews and prepares data for analysis, ensuring quality and technical constraints are met. Develops usable datasets for modeling, adapts cleaned data for machine learning, and designs ETL pipelines. Collaborates to apply state-of-the-art algorithms to business problems and uses statistical tools to evaluate machine learning models. 
• Supports the application and deployment of machine learning algorithms, seeks information to improve models, and helps create, apply, and verify models through iterations. Assists with experiments and sets up monitoring to track production models. 
• Documents work in progress, experimentation results, and plans to ensure processes are captured, participates in creating informal documentation, shares findings to promote innovation, and follows ethics and privacy policies when executing research processes or collecting data. 

Qualifications

Required Qualifications  

• Master's Degree (or currently pursuing degree) in relevant field AND 1+ year(s) related research experience OR equivalent experience.  

Preferred Qualifications  

• Doctorate in relevant field OR equivalent experience.
• Experience in publishing academic papers as a lead author or essential contributor.
• Experience in participating in a top conference in relevant research domain. 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Introduction

The Singapore-ETH Centre was established in 2010 by ETH Zurich - The Swiss Federal Institute of Technology and Singapore’s National Research Foundation (NRF), as part of the NRF’s CREATE campus. As ETH Zurich's only research centre outside of Switzerland, the centre has strengthened the research capacity of ETH Zurich to develop sustainable solutions to global challenges in Switzerland, Singapore and the surrounding regions.

Set in Asia, in a rapidly urbanising region, the Singapore-ETH Centre aims to provide practical solutions to some of the most pressing challenges on urban sustainability, resilience and health through its programmes: Future Cities Lab Global (FCL Global) and Future Health Technologies (FHT).

The centre serves as an intellectual hub for research, bringing together principal investigators and researchers from diverse disciplines and backgrounds. To promote the exchange of ideas and expertise, our researchers actively collaborate with universities and research institutes and engage with industry and government agencies to translate knowledge to practical solutions to real-world problems.

Project background

The healthcare systems of the future must harness data effectively to support clinicians, allowing them to focus on patient care while leveraging AIto detect patterns beyond human perception, enhance diagnostic accuracy, optimise workflows, improve risk assessment and communication. Developing AI models that address these needs is particularly urgent in ageing societies, where rising patient numbers coincide with increasing workforce constraints.

A major contributor to disability in older adults is impaired musculoskeletal (MSK) health, with fall-related fractures representing a central research focus for our group. Despite their substantial socioeconomic burden, progress in prevention and screening has been limited, partly because fall and fracture risks are often addressed independently, despite their shared underlying mechanisms. A promising direction for AI in healthcare is the seamless integration of clinical image-based foundation models that can be fine-tuned across multiple use cases.

In this project, we aim to develop cross-modal AI models for MSK health evaluation by linking diverse clinical imaging datasets. The central innovation is the creation of a shared, tokenized latent space that enables data translation, risk modelling, and local deployment, even in settings with limited imaging data. Particular emphasis will be placed on integrating advanced biomechanical markers of bone health into AI workflows, supporting more precise and clinically actionable risk assessment.

Job description

The PhD candidate will be embedded into a team of researchers that is working on developing large medical image-based AI models for managing MSK health.

Some key components in the work are:

• Pretraining, adapting, and evaluating foundation models for medical image data using self-supervised and multimodal representation learning.

• Developing cross-modal image modelling methods, including cross-modal translation, multimodal fusion, and related generative or representation-learning approaches.

• Evaluating the learned models on clinically relevant downstream tasks, such as bone health assessment, anatomical and biomechanical biomarker estimation, and fracture-risk-related prediction.

• Co-supervision of MSc and BSc students.

Please note that the employment will be at the Singapore-ETH Centre in Singapore, and local working regulations will apply.

Funding is provided for up to four years. After successful completion of studies, the PhD degree will be awarded by ETH Zurich.

Selection Criteria

• Applicants should hold an MSc degree and have a strong background in computer science, engineering, mathematics, physics, or a related quantitative discipline.
• Candidates should be capable of working largely independently on complex research topics and demonstrate strong motivation.
• We are particularly interested in applicants with a solid foundation in machine learning and AI, image processing, strong Python programming skills, and experience in software development.
• Background knowledge in parallel computing or high-performance computing is desirable.
• Experience with software engineering practices, including version control (e.g., git) and collaborative development workflows, is required.
• Applicants must be proficient in written and spoken English.

Why SEC is your employer of choice?

• Accredited with 5 Tripartite Standards by Tripartite Alliance for Fair & Progressive Employment Practices (TAFEP) Singapore.
• A diverse workplace with 32 nationalities, offering ample opportunities for mutual learning.
• Positive and inclusive working environment.
• 25 days of annual leave for fixed-term contracts.
• 1 day of Birthday Leave.
• Annual dental benefits.
• Committed to being a supportive employer as you prioritize your physical and mental wellness.
• Comprehensive healthcare insurance coverage.
• Flexible hybrid work arrangement (up to 2 days per week from home).
• Abundant networking opportunities across various disciplines.
• Accredited with NS mark certification.

The Singapore-ETH Centre is an equal opportunity and family-friendly employer. All candidates will be evaluated on their merits and qualifications, without regards to gender, race, age or religion.

Curious? So are we.

We look forward to receiving your online application with the following documents:

• A cover letter with a specific statement of your motivation for the project.
• Your CV including the name and contact information of 2 references.
• A copy of your university transcripts as PDFs.

Applications via email or postal services will not be considered.

Work location: 1 Create Way, CREATE Tower, Singapore 138602 (NUS University Town)

Further information about The Singapore-ETH Centre can be found on our website: https://sec.ethz.ch/

For further information, please contact: PD, Dr Benedikt Helgason (ETH Zurich) at bhelgason@ethz.ch

Job Description

• Industry/ Organization Type: Financial Institution
• Position Title: Quant Researcher
• Working Location: Central
• Working Hours: 5 days (Mon – Fri, 9.00am – 6.00pm)
• Salary Package: Basic salary up to $8,000 + Variable Bonus
• Duration: Permanent Role

Key Responsibilities

• Develop and apply technical strategies using quantitative and machine learning methods to meet business goals
• Work with the CEO and technical team to drive research projects and improve systems
• Provide expert advice on quantitative analysis and algorithm design
• Design and build system architectures that are secure, scalable, and high-performance, using data analysis and modelling
• Manage relationships with technology vendors and service providers
• Carry out research to create trade ideas using quantitative models and macroeconomic analysis
• Assess and improve portfolio risk and performance through quantitative analysis
• Prepare regular market reports and forecasts for management and stakeholders
• Provide detailed portfolio performance reports to management and stakeholders
• Review NAV reports and submit monthly trade files, ensuring they are accurate and compliant
• Lead research, development, and back-testing of quantitative and fundamental strategies
• Work with team members to develop and improve AI tools for market prediction and portfolio optimization
• Help prepare materials for marketing and investor relations, highlighting research and performance results
• Find and apply for government grants and loans to support research activities
• Provide updates on regulatory and tax changes to keep the firm compliant
• Handle other administrative tasks as needed to support team operations

APPLY NOW!!!

• Master’s degree in a quantitative field such as Mathematics, Statistics, Economics, Quantitative Finance, or similar
• At least 3 years of experience in financial quantitative research roles
• Strong programming skills in Python, C++, Java, MySQL, Matlab, R, and Latex
• Hands-on experience with machine learning tools like TensorFlow and PyTorch
• Experience developing NLP models for financial use

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 #77900 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