206 Senior Research Scientist jobs in Singapore

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.

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

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world's top universities. NTU's College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU's College of Computing and Data Science is an 'exciting place to learn and grow'. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

We are seeking a skilled and motivated Research Scientist to join our quantum-safe security team at NTU's CCDS. This role is instrumental in supporting Singapore's national agenda in digital trust by contributing to the research, development, and integration of cutting-edge post-quantum cryptographic (PQC) solutions. The candidate will work closely with researchers and enterprise stakeholders to analyze existing cryptographic software stacks and drive the migration to quantum-safe alternatives.

As part of the national quantum-safe migration effort, the Research Scientist will develop software tools, frameworks, and libraries, and upgrade existing systems to meet emerging PQC standards. This position is ideal for a technically strong developer who is passionate about cybersecurity and wishes to make a tangible impact in future-proofing critical digital infrastructures.

The College of Computing & Data Science (CCDS) invites applications for the position of Research Scientist.

Key Responsibilities:

• Work closely with research and engineering teams to develop and integrate post-quantum cryptographic (PQC) solutions into existing and new software systems
• Analyze and assess current cryptographic implementations, libraries, and system architectures to identify upgrade paths for quantum-safe migration
• Design, implement, and test software modules, protocols, or frameworks that use NIST-standardized PQC algorithms
• Evaluate performance, interoperability, and security implications of replacing classical cryptographic schemes with quantum-safe alternatives
• Support the development of technical documentation, migration roadmaps, and user integration guides for internal and external stakeholders
• Collaborate with industry partners (e.g., financial institutions, OEMs) to deploy and validate the migration of their systems to quantum-safe cryptography
• Contribute to research papers, technical reports, and presentations for internal reviews and external conferences or journals

Job Requirements:

• PhD degree in Computer Science, Cybersecurity, or a related field
• At least 1-2 years of relevant experiences in similar role / technical hands-on experience
• Familiarity with cryptographic and security protocols, including post-quantum cryptography
• Excellent written and oral communication skills
• Proficiency in programming (Python, C, Go)
• Familiarity with TLS, VPNs, PKI, and open-source crypto libraries (e.g., OpenSSL, BoringSSL)
• Familiarity with project management tools

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

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

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.

For more details, please view

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.

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.

We invite suitable candidate to join a strong research team in Temasek as a Research Scientist with the following requisites:

Key Responsibilities:

• The candidate is expected to conduct and lead research in Wireless and Cellular Security, in particular the discovery of novel wireless attacks and their detection and mitigations.
• The candidate is expected to conduct both theoretical development of methods and experiment design to validate the developed methods.
• Other research responsibilities include supervising junior researchers/interns/students, carrying out detailed literature review and assessment of the state-of-the-art technologies. planning and executing detailed R&D activities to meet project objectives and deadlines, generating novel scientific or technological concepts for application of breakthrough nature and contributing to research proposals.
• Administrative responsibilities may include safety, asset management and other aspects related to being a member of Temasek .

Job Requirements:

• PhD degree in Computer Science, Computer & Electronics Engineering or other related fields.
• Strong background and knowledge in at least one or preferably more of the following fields: Cybersecurity, Deep Learning and Cybercrime with at least 3-5 years of research experience (including PhD training) in related fields.
• Proven track record in research and development of cybersecurity and/or Deep Learning technologies.
• Strong publication record in top cybersecurity or systems conferences/journals (e.g., Digital Investigation, USENIX Security, NDSS, ASE, TSE, TIFS, ICSE, FSE, ICST etc.
• Strong programming skills in C/C++, python etc.
• Knowledge on Software Engineering and Cybercrime are plus.
• Good writing skills for writing proposals, reports and publications in good academic journals.

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

Job Summary

We are currently recruiting a position for a Research Scientist to join the corporate lab. The potential candidate will be primarily involved in data analytics and machine learning. The project objectives are to model analytical data collected from factories or R&D centres using ML or AI for optimizing enzyme production.

Requirements:

·    Team player and ability to communicate technical concepts to lay people

·    Ability to code in a few languages - R, python, java, bash

·    Knowledge in bioinformatics (sequence analysis, protein structure prediction)

·    Knowledge in AI backend, e.g. tensorflow, pytorch

·    Knowledge in optimizing ML or AI models to meet target specification

·    Apt learner and versatile in applying new computational techniques to solve open problems

Main responsibilities of the incumbent (not limited to):

·    Manage and preprocess data

·    Code and script based on specified tasks

·    Statistical analysis and machine learning experience in the following areas:

• Optimization algorithms

• Supervised learning

• Unsupervised learning

• Sampling algorithms

• Deep learning algorithms

·    Summarizing results for reporting purposes

·    Participate in seminars and research-in-progress meetings within the team and collaborators

·    Write and publish scientific papers and patents

Qualifications:

· PhD in any of the following areas: statistics, data science or computer science

Job renumeration will commensurate to experience. Shortlisted candidates will be notified for an interview to discuss specific details.

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 at 

Alvin Lee Meng Kim (Registration Number: R

AlwaysHired Pte Ltd

EA Licence No: 24C2293

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.