307 Research Associate jobs in Singapore

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Research Associate, Research
role at
CLSA .
The Research Associate is responsible for supporting the research function in the office. The incumbent primarily works with a senior research analyst to assist in fundamental research on companies. Responsibilities include report writing, financial modelling, and maintaining multiple databases.
The Research Associate should view their role as an integral part of the team’s success. They should be effective team contributors, actively generate ideas for team development, communicate issues requiring action, support each other, and seek help when needed.
Key Responsibilities
Assist Senior Analysts in covering diverse sectors such as Industrials, Healthcare, and Internet.
Perform due diligence, write research reports, and condense research ideas into PPT presentations.
Maintain databases of economic and industry-specific data.
Accompany clients on visits and produce notes on all visits.
Maintain sound working relationships with corporates, clients, government, and industry organizations.
Requirements
Bachelor's degree or higher in a business-related discipline, preferably with Finance and/or Accounting major.
1-2 years of experience as a Research Associate or in a related role in a large accounting firm is an advantage.
Understanding of financial modelling.
Excellent problem-solving and analytical skills.
Strong interpersonal sensitivity.
High commercial awareness.
Excellent communication, relationship management, and client interaction skills.
Seniority Level
Executive
Employment Type
Full-time
Job Function
Research
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Introduction

Urban Ecological Corridors: Multifunctional Corridors for People and Ecology at the Singapore-ETH Centre seeks a highly motivated and dedicated Research Assistant to join an ongoing research project to conduct socio-spatial analyses of urban natureways in Singapore. The overarching aim of this project is to better understand the interactions between ecological elements and human activities in these areas to design strategies for a harmonious existence.

Project Background

The Urban Ecological Corridors: Multifunctional Corridors for People and Ecology is a research study under the URA’s Cities of Tomorrow grant, led by Singapore University of Technology and Design and co-led by Singapore-ETH Centre Future Cities Laboratory Global. Launched in 2017, the Cities of Tomorrow (CoT) R&D programme is MND’s flagship R&D programme to develop cutting-edge solutions for the Urban Solutions and Sustainability domain. This research aims to quantitatively assess the functioning of existing urban ecological corridors to enhance their effectiveness. Focusing on the interactions between ecological features and human activities, the study promotes the co-location of people and wildlife through safe, shared spaces. Using five key corridor elements—Park Connector Networks, Cycling Paths, Parks and Gardens, Nature Ways, and Forest Patches—as case studies, the research explores socio-ecological dynamics. It highlights both beneficial and adverse human-nature interactions, ultimately seeking to identify distinct interaction zones and recommend design strategies for fostering harmonious urban-ecological coexistence.

Task/Job Description

This role will work on the socio-spatial analyses of case studies selected in the project. The role involves supporting the on-site and GIS mapping, and BIM modelling of the case studies for spatial, environmental, social and ecological parameters. Responsibilities include preparing and processing externally sourced and on-site data, as well as troubleshooting technical issues during GIS and BIM analysis. The role also requires leading social surveys, analysing multiple datasets, interpreting results, and working collaboratively with the team to document and summarise research findings, ensuring accuracy and consistency throughout.

Job Scopes

• Conduct on-site spatial and environmental mapping of case studies
• Conduct the GIS mapping of case studies using externally sourced and on-site data for environmental and ecological parameters
• Conduct BIM analyses of multiple datasets for environmental (thermal, wind, etc.) modelling
• Lead data collection for social surveys
• Assist and collaborate with the team for data collection, data cleaning and troubleshooting during analyses, design scenario modelling
• Documentation (reports, visualisations, potentially conference papers and journal papers)

Job Requirements

We are looking for a candidate with the following expertise and skills:

• Master’s degree in Urban planning, Civil Engineering or related field
• Strong proficiency in BIM software
• Strong proficiency in GIS software
• Prior research or design experience on spatial (public transit accessibility analyses, etc.) and environmental (thermal/wind analyses, etc.) parameters is preferred
• Prior experience with conducting surveys is required
• Good communication skills and interpersonal skills
• A good team player

Why should I Apply:

At Sonar, we’re a group of brilliant, motivated, and driven professionals working hard to help organizations build responsible, secure, high-quality code quickly and systematically. We build solutions that don’t just solve symptoms of problems – we fix problems at the source – source code, to be specific.

We have a dynamic culture with employees worldwide and hub offices in the USA, Switzerland, the UK, Singapore, and Germany. We believe team members should have the opportunity to come to work every day, work on a product they are proud of, love what they do, and feel energized by their peers. With our roots deep in the open source community, we’re all about the mission: provide solutions that deliver Clean Code.

The impact you will have

You will work on pioneering projects that advance the application of AI within the realm of software engineering. This Research Engineer role offers the opportunity to conduct cutting-edge research, develop novel algorithms and contribute to the development of software tools that enhance system performance, reliability, and flexibility. Your work as a Research Scientist will directly impact the efficiency and effectiveness of our AI products, enabling developers to spend less time fixing issues and more time innovating. You will contribute to the creation of accessible, user-friendly, and performant solutions that integrate seamlessly with our existing infrastructure.

On a daily basis you will

• Conduct applied research in integrating AI/ML techniques with software engineering practices to improve code quality, testing, and software maintenance.
• Design and implement experimental prototypes to demonstrate the feasibility and effectiveness of new methodologies.
• Collaborate with cross-functional teams, including AI researchers, software engineers, and product managers, to translate research findings into practical applications.
• Stay informed about the latest advancements in AI/ML and software engineering to identify emerging trends and opportunities for innovation.
• Publish research findings in leading academic conferences and journals, and present innovative work to the broader research community.
• Participate in code reviews and provide constructive feedback to other developers/researchers.
• Implement best practices from DevOps to maintain a readable codebase, testable infrastructure and documented research artifacts.

The skills you will demonstrate

• Bachelor’s degree (or equivalent) in Computer Science, Engineering, or related field.
• At least 3 years of experience as a Research Engineer or Research fellow in Software Engineering.
• Strong research background in AI, ML, and SE.
• Experience working with generative AI technologies (e.g. GPT-4, BedRock).
• Experience in developing tools or frameworks that utilize AI/ML to enhance software development processes.
• Experience in developing and prototyping in Python and R.
• Understanding of software development processes and terminology.
• Familiarity with techniques for automated code generation, program synthesis, or software testing using AI/ML.
• Strong problem-solving skills and ability to work independently and collaboratively.
• Excellent communication skills for conveying complex technical concepts.
• Excellent debugging, optimization skills, communication and teamwork skills.
• Excellent problem-solving skills and the ability to work independently or as part of a team.

Why you will love it here:

• Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness – and embraces the right to fail (and get right back up again!). We believe that the best idea wins and everyone has a voice.
• We believe that great people make a great company. We value people skills as much as technical skills and strive to keep things friendly and laid-back while still being passionate leaders in our domains. Our 550+ SonarSourcers from 33 different nationalities can relate!
• We embrace work-life balance. It is important to maintain a healthy work-life balance. This is why we have a flexible work policy that includes remote and in-office hybrid work (minimum three days a week in the office - Monday/Tuesday/Thursday).
• We have a growth mindset. We love to learn and believe that continuous education is critical to our success. In an ever-changing industry, new skills are a must, and we're happy to help our team acquire them.

We prioritize Diversity, Equity, and Inclusion:

At Sonar, we are a global workforce and recognize the value of different backgrounds, and global cultures. We are committed to creating a diverse work environment and are proud to be an equal-opportunity employer. All qualified applicants will be considered for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

All offers of employment at Sonar are contingent upon the clear results of a comprehensive background check conducted prior to the start date.

Please note that applications submitted through agencies or third-party recruiters will not be considered.

• To independently undertake research in visual perception and recognition.
• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.
• To provide guidance and support to any students associated with the project.
• To attend, contribute, and where necessary lead relevant meetings.
• To undertake any other duties relevant to the programme of research.

• A master's degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Independent, highly analytical, proactive and a team player
• Excellent teamwork and verbal, written communication skills
• In-depth knowledge relevant to the project domain.
• Demonstrated capability to conduct innovative research.
• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.
• Demonstrated ability to formulate hypothesis and design effective experimental plans.
• Ability to design and implement new experimental methods.
• High-level expertise in the required experiment or modelling methods.
• Ability to initiate collaboration research in multidisciplinary team.
• Oversee and report project progress.
• Ability and willingness to work some flexible hours.

Key Role in Research Support

We are looking for a highly motivated and adaptable individual to join our team as a Research Assistant. This role is ideal for those passionate about delivering high-quality research resources to support impactful projects.

• Liaise with various stakeholders to identify suitable cases, verify consent status, and retrieve sample accession numbers using Pathology systems (EPICS, REDCAP).
• Work with a Research Pathologist to collect research blocks, assist in tissue processing, sectioning, and staining for quality control before inventory and storage.
• Use search systems to identify cases for TMA construction, support sub-specialty pathologists in generating case lists, retrieving blocks and slides, and preparing new sections when required.
• Maintain updated records of TMA construction requests.

• Degree in Medical Laboratory Science, Biomedical Science, Life Sciences, or related discipline.
• Experience in histopathology, tissue handling, or TMA construction is an advantage.
• Proficiency with pathology information systems (EPICS, REDCAP, ePAS) preferred.
• Strong organisational skills, attention to detail, and ability to work independently.
• Good interpersonal skills for liaising with multiple stakeholders.
• Commitment to research ethics and safety standards.

This is an exciting opportunity to contribute to impactful cancer research and develop your skills in histopathology and TMA construction.

• Assist in laboratory and field tests
• Acquiring videos/photographs and developing 3D models of trees
• Compile test data, maintain database and conduct analysis
• Assist to prepare budgets, reports and papers

• Master's degree in relevant discipline or related field
• Strong understanding of physics
• Adaptability to laboratory and field work.
• Good written and oral communication skills for report writing
• Knowledge of software like Matlab, Python, 3DF Zephyr or equivalent 3D modelling software will be an advantage.
• Experience in journal publication will be an advantage.
• Class 3 driving license (Singapore) will be an advantage.

• Design, implement and test high speed RF power management circuits and other related digital/analog/mixed signal ICs. Development cycle including circuit design, simulation, modeling, layout, verification and measurements
• Design high power-efficiency RF power amplifiers
• Develop scripts and algorithms for analog IC design
• Prepare report and conduct presentation at seminars

• M.Eng/MSc in Electrical Engineering, Computer Science, Statistics, or other related fields. Fresh graduates are welcome to apply
• At least 2 years of relevant experiences in IC design/Electronics
• Familiar with Analog/Power Management/RF/ADC/DAC IC design
• Proficiency in Cadence
• Proficiency in Python and Matlab
• Experience in implementing algorithms for machine learning
• Good written and oral communication skills

• Develop Machine Learning based models for forecasting of battery temperature and health.
• Develop components of a battery model, including system integration, data processing, data quality control, and data visualization.
• Create AI-based optimization models for thermal and health management of EV batteries.
• Develop, maintain, and enhance web-based user interfaces.
• Prepare technical reports, presentations, and research publications.

• Master's degree in Electrical/Electronics/Energy Engineering
• Hands-on experience with Amazon Web Services (AWS), including deploying and managing cloud-based applications.
• Familiarity with integrating front-end web interfaces with backend systems and APIs.
• Familiarity with database management (e.g., MySQL, PostgreSQL, or NoSQL).
• Understanding of battery management systems (BMS)
• Proficiency in Machine Learning models such as Reinforcement Learning and Deep Neural Networks
• Proficiency in programming languages such as Matlab, Python, and Javascript
• Excellent verbal and written communication skills in English for research purpose
• Ability to work collaboratively in a fast-paced environment