293 Research Scientist jobs in Singapore

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials Materials, Biological Materials, Bioinspired Materials and Sustainable Materials.

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We are seeking an accomplished and visionary scientist to lead Singapore Max Planck Alliance for Sustainable Chemical Conversion of Biomass under the CREATE Thematic Programme in Decarbonisation. This role serves as the primary scientific representative the project and is responsible for executing the research vision in collaboration with local and international partners. The successful candidate will drive the development and scale-up of continuous flow chemical systems and novel catalytic pathways, contributing to global advancements in sustainable chemistry and renewable feedstock utilization. The candidate will also be responsible for cross-institutional coordination, lab commissioning, team building, and research translation, ensuring smooth integration across NTU, MPI, and other stakeholders.

Key Responsibilities:

• Provide scientific leadership and direction for a multidisciplinary research team focused on biomass valorization and continuous-flow process development.
• Act as the scientific and operational anchor between MPI (Germany) and NTU (Singapore), facilitating effective cross-national coordination.
• Lead the design, commissioning, and operation of the Automated Flow Chemistry Laboratory, including layout design, staffing, and procurement.
• Drive the development and optimization of closed-loop, automated flow chemistry systems for biomass valorization, integrating data-driven design and in-line analytics.
• Ensure effective project management, team coordination, and progress reporting, while maintaining high standards of safety and scientific rigor.
• Mentor and guide a team of 5–6 researchers, including Research Fellows and Assistants.
• Oversee project progress, ensure milestone achievements, and contribute to the drafting of research proposals and industrial engagement activities.
• Disseminate results through high-impact journals, patents, and global conferences.
• Represent MPI in administrative, academic, and strategic discussions, including engagement with CREATE leadership and NRF stakeholders.

Job Requirements:

• Doctoral degree in Chemical Science, Chemical Engineering, Chemistry, or a related field.
• Strong expertise in flow chemistry, automation, Chemputer-based platforms, and closed-loop experimentation.
• Experience in digitalization of chemical synthesis, lab automation, and pilot-scale system development.Strong research portfolio with high-impact publications
• Demonstrated leadership in interdisciplinary or international research projects.
• Experience in managing lab-scale to pilot-scale chemical processes, including automation, scale-up, and data-driven optimization.
• Prior involvement in programme proposal writing, lab layout design, and research coordination is a strong plus.
• Excellent organizational, communication, and interpersonal skills with the ability to lead diverse teams and manage cross-institutional collaborations.

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

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting research on large model inference.

• Design and implement advanced and novel solutions for large model inference including in privacy preserving setting.
• Conduct evaluations to validate the effectiveness of the algorithms and tools.
• Write and publish research papers and present them to reputable academic conferences.
• Package the documents, implementation code, evaluate results of the project for public release.
• Liaise with the overseas and local team members and collaborators of this project to realize the overall goal of the project.
• Other duties as assigned.

QUALIFICATIONS

• Minimum PhD degree in Information Systems / Computer Science/ Information Technology / InformaticsEngineering / Computer Engineer / Software Engineering
• Minimum 4 years of relevant research experience in software engineering
• Publication of at least 3 first-authored papers in top-tier software engineering conferences/journals
• Good knowledge about software engineering and artificial intelligence
• Highly fluent in Python and Java
• Competent in designing and implementing algorithms and data structures
• Good oral and written communication skills
• Excellent analytical, technical and problem-solving skills
• Self-motivated individual who can work independently and also collaboratively with team members
• Able to work under strict deadlines
• Prior experience as Research Assistant or Research Engineer is highly preferred
• Research capability as evidenced by tangible deliverable i.e., relevant publication in a reputable international conference or journal will be advantageous

OTHER INFORMATION

Please note that your application will be sent to and reviewed by the direct employer - Singapore Management University

Temasek is looking for a candidate to join them as a Research Scientist.

Key Responsibilities

• Conduct evaluation of state of the art embedded microcontroller and associated cryptography algorithms
• Develop and test research methods on non-invasive and semi-invasive aspects of hardware security including but not limited to: post-quantum cryptography, Embedded Security, IoT security, Hardware Forensics etc
• Responsible for device setup, device testing, data analysis and reporting
• Publish in top international venues for optimal communication of our research

Job Requirements

• Minimally Master's degree in Electrical / Electronic / Computer Engineering or equivalent
• Applicants with PhD preferred
• Prior experience in working with embedded systems is required
• Prior experience with coding and evaluation of cryptography hardware or quantum devices is required
• Coding background in either of C/Java/Assembly/Python/VHDL for analysis is required
• Basic knowledge of advanced cryptography algorithms like post quantum cryptography is prefered
• Creative, curious, self-motivated and a team player with good analytical and problem-solving skills

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

We are seeking Research Scientists for our quantum research team in Singapore

The Quantinuum office in Singaporeis a hub for scientific discovery and cutting-edge research that will inspire quantum solutions to the world's most complex problems in fields including for example computational biology, finance, chemistry, and optimization. Working in close partnership with Singapore's National Quantum Office (NQO), Agency for Science, Technology and Research (A*STAR), National University of Singapore (NUS), Centre for Quantum Technologies (CQT),and National Supercomputing Centre (NSCC), the center will cater to fostering Singapore's growing quantum computing ecosystem, offering a platform to co-develop use cases and quantum algorithms for implementation on local quantum computing hardware.

Our team members regularly publish scientific papers and present their results at leading conferences. In this role, you will work in a collaborative environment and contribute to advancing our state-of-the-art quantum computing stack. You will also engage with our academic and industry partners.

• Conduct research on new quantum algorithms for areas including biology, finance, chemistry, and optimization models
• Develop and implement novel quantum algorithms integrated with early fault-tolerant protocols and error correction or detection primitives
• Contribute to end-to-end resource estimation of quantum algorithms under realistic hardware constraints
• Communicate scientific results internally across teams and externally through publications and conference presentations
• Engage with clients on projects in the above mentioned areas

• PhD in a relevant field (physics, mathematics, computer science etc.)
• Research experience in quantum algorithms, along with demonstrated expertise in at least one of the following areas: quantum algorithm design and optimization, realistic noise models of quantum hardware, quantum error correction, and(partially) fault-tolerant protocols

• Demonstrated research track record via publications in a relevant field
• Deep knowledge of quantum computing and quantum algorithm design
• Hands-on experience with implementing quantum algorithms on simulators or hardware
• Excellent written and oral communication skills
• Programming skills in a high-level language such as Python and relevant tools such as pytket, Qiskit etc.

MINDEF

Permanent

Closing in 5 day(s)

What the role is

You conduct research and develop behavioural analysis methodologies to build understanding of the information environment and various actors and audience groups of interest, observing and interpreting human behaviours at various levels of analysis.

What you will be working on

• Develop research approaches, frameworks, and metrics to analyse data for human behaviour insights
• Conduct training and workshops on cognitive science principles and their applications in information activities
• Inform decision-making processes and operational planning
• Collaborate with partner agencies across MINDEF/SAF and the Defence Technology ecosystem on identified research areas
  Challenge(s)
• Developing new knowledge in an emerging area of behavioural science in the information environment
• Adapting to rapidly evolving environments and performing under pressure
• Synthesising complex findings and articulating them clearly to diverse audiences

What we are looking for

• Education in Cognitive Science, Psychology, Human Factors, Neuroscience or a related field
• Certifications in cognitive assessment techniques or human-computer interaction is advantageous
• At least 10 years of working experience in related fields
• Solid understanding of research methodologies (qualitative and quantitative)
• Proficiency in statistical analysis
• Familiarity with data analysis software and tools (e.g., SPSS, R, Python)
• Good awareness of Singapore's political, defence, and security developments
• Understanding of current affairs and the regional/international media environment
• Strong communication and interpersonal skills
  Only shortlisted candidates will be notified.

About MINDEF

The mission of MINDEF and the Singapore Armed Forces is to enhance Singapore's peace and security through deterrence and diplomacy, and should these fail, to secure a swift and decisive victory over the aggressor.
The Defence Executive Officer (DXO) scheme is the non-uniformed career scheme of MINDEF that offers myriad opportunities in various job functions, such as corporate communications, cyber security, data analytics and visualisation, defence policy, finance, HR, psychology, and more. Embodying the same level of commitment towards defence, DXOs work together with their military counterparts to contribute to MINDEF/SAF's mission and ensure Singapore's security and stability. United by this common cause, our lines of defence complement each other to secure the prosperity and progress of our nation.

About your application process

This job is closing in 5 day(s).

If you do not hear from us within 4 weeks of the job ad closing date, we seek your understanding that it is likely that we are not moving forward with your application for this role. We thank you for your interest and would like to assure you that this does not affect your other job applications with the Public Service. We encourage you to explore and for other roles within MINDEF or the wider Public Service.

Summary:

Our client are seeking a Research Scientist to join our corporate lab, focusing on data analytics and machine learning applications for enzyme production optimization. The role involves modeling analytical data from factories and R&D centers using AI/ML approaches, and contributing to research outputs such as publications and patents.

Remuneration:

• Up to $10,000, with AWS and Variable Bonus

Responsibilities

• Manage and preprocess large datasets for analysis.
• Develop scripts and code to perform specified computational tasks.

• Apply statistical analysis and machine learning techniques, including:

• Optimization algorithms

• Supervised and unsupervised learning
• Sampling algorithms
• Deep learning models
• Optimize ML/AI models to meet performance specifications.
• Summarize and present results for internal reporting and external stakeholders.
• Participate in seminars, research-in-progress meetings, and collaborations.
• Contribute to writing and publishing scientific papers and patents.

Requirements

• PhD in Statistics, Data Science, Computer Science, or a related field.
• Proficient in coding with R, Python, Java, and Bash.
• Strong knowledge of bioinformatics (sequence analysis, protein structure prediction).
• Experience with AI/ML frameworks such as TensorFlow or PyTorch.
• Demonstrated ability in optimizing ML/AI models.
• Apt learner, adaptable, and able to apply new computational techniques to open-ended problems.
• Effective communicator and team player, capable of explaining technical concepts to non-specialists.

Interested candidates please apply online or send your latest CV to

AlwaysHired Pte Ltd

Reg No: R

EA: 24C2293

We regret to inform that only shortlisted candidates will be notified. Please note that your response to this advertisement will constitute informed consent to the collection, use, and/or disclosure of personal data by AlwaysHired, its affiliates and, where necessary, to relevant third parties, for purposes such as job application processing, career advisory, research, and other administrative purposes, in compliance with the relevant provisions of the Privacy Policy available

Job Description / Duties:

• Design and implement accurate 3D reconstruction pipelines from multi-modal data sources (e.g., images, LiDAR, or similar sensors).
• Build robust algorithms to automatically map and measure elements in 3D models and 2D representations.
• Research, implement, and optimize geo-positioning techniques to achieve sub-centimeter accuracy, leveraging RTK, SiReNT, LiDAR, visual markers, and hybrid approaches.
• Develop and deploy image and 3D segmentation models for real-world applications, ensuring robustness and efficiency.
• Write clear, modular, and optimized Python code to support research, prototyping, and production deployment.
• Develop software and hardware solutions for autonomous operations on ground robots and drones, including navigation in GPS-denied environments.
  Collaborate with a multidisciplinary team to translate research outcomes into practical solutions.Conduct field trials to validate algorithms and hardware performance.

Work experience/Skills required:

• PhD or Master's degree in Computer Science, Robotics, Electrical Engineering, or related field.
• Strong expertise in 3D reconstruction (photogrammetry, LiDAR, multi-view geometry, or related techniques) and 3D analysis.
• Demonstrated experience with geo-positioning technologies (e.g., RTK-GPS, SiReNT, LiDAR-based localization, visual fiducials/markers).
• Hands-on experience developing image and 3D segmentation models (deep learning, classical CV, or hybrid approaches).
• Proficiency in Python with strong software engineering practices (clean code, testing, documentation).
• Practical expertise with ground robots or UAVs (drones), including control, planning, and navigation in GPS-denied scenarios.

Preferred:

• Familiarity with SLAM frameworks, multi-sensor fusion, or VIO (Visual-Inertial Odometry).
• Experience deploying algorithms on embedded systems or edge-compute platforms.
• Experience with ROS/ROS2, C++, or GPU acceleration (CUDA, TensorRT).

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.

ANGEL will also cultivate human talents equipped with both advanced technical skills and a solid understanding of sustainable practices. They will enable Singapore to realise its environmental and technological ambitions.

ANGEL is looking for a motivated Research Scientist to conduct research on AI, reinforcement learning, AI agents, and machine learning.

Job Description

• Conduct research in the field of neural networks, natural language processing (NLP), and large language models (LLMs).
• Independently read and critically evaluate existing literature on NLP and LLMs.
• Implement neural networks and carry out experiments under the supervision of a professor
• Write papers and present the research work to a wide audience

Job Requirements

• PhD in computer science or artificial intelligence
• Strong background in Python and PyTorch programming
• Curiosity in learning new knowledge and investigating unsolved problems
• Keen observation for clues that most people may overlook
• Courage to carry on after temporary setbacks
• Excellent oral and written communication in English for research work
• Excellent teamwork, sense of responsibility, and interpersonal skills

We regret that only shortlisted candidates will be notified.

The candidate will be responsible for conducting research on improving the performance of health monitoring on smart earbuds using PPG technology. Successful candidate will be part of an active research team led by Prof Thivya Kandappu from School of Computing and Information Systems, Singapore Management University.

Candidate's core responsibilities are:

• Work on literature review and study design.
• Work on IRB application and preliminary self-test.
• Work on large-scale data collection with 30-40 participants.
• Work on analyze data and write a report.
• Other duties assigned.

Qualifications

• Minimum PhD degree in Computer Science, Biomedical Engineering, Information Systems or closely related disciplines from an institution of higher learning
• Minimum 1 years of relevant research experience in wearable-based sensing, PPG signal analysis, embedded device, or signal processing
• Basic knowledge/Proficiency in programming software/languages such as Python and C will be positively considered/ is required
• Demonstrated experience and know-how on PPG sensors and signal processing
• Good analytical, technical and problem solving skills
  • Applicants with research publications in PPG will be advantageous
• Applicants with research background in Biomedical Engineering will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

Other Information