75 Science Research jobs in Singapore

Job Description Summary

This key role supports APAC functions with advanced analytics, data science, and operations research to improve business processes and strategic projects.

Key Responsibilities:

1. Data Analysis & Problem Solving:
• se advanced analytics to identify and solve operational issues across APAC.
• C eate models and simulations for process optimization using techniques like machine learning, optimization, AI, and statistical analysis.
• P esent findings and recommendations clearly to stakeholders.
• T ain and coach business analysts on advanced data analysis methods.

2. Advisory & Project Management:
• R commend analytics solutions for key business strategies.
• W rk with BI, Data Management, and Analytics teams to develop and implement solutions.
• T ack progress, report outcomes, and collaborate on delivery.

• Education: Master’s or PhD in Computer Science, Data Science, Operations Research, Mathematics, or related fields.
• Experience: 6+ years in data science, analytics, and operations research (experience in Supply Chain/Last Mile delivery is a plus).
• Skills: Expertise with optimization tools (GUROBI, CPLEX, etc.), Generative AI and data science techniques (predictive modeling, clustering).
  Proficiency in programming languages like Python, Java, or C++.
  Strong analytical, modeling, and visualization skills.
  Excellent business acumen and problem-solving abilities.
  Fluent in English (both written and spoken).
  Project management experience is a plus.
  

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Assistant in Bioengineering.

The Research Assistant will take on a significant role in evaluation of polymer-based medical devices in diabetes management in animal models.

Key Responsibilities:

• Perform experiment with diabetic animal models
• Design and Fabricate polymer-based systems for cellular therapy

Job Requirements:

• Bachelor degree in Science or Engineering in related discipline
• Experience with wet-lab research such as cell culture
• Experience with animal study is a plus

We regret that only shortlisted candidates will be notified.

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow in Prof. Kunn’s group. The Research Fellow will play a key role in conducting research in the fields of electrocatalysis and electrochemical analysis.

Key Responsibilities:

• Electrode surface modifications using different chemical compounds and compositions.
• Electrochemical characterization of samples performing cyclic voltammetry and chronoamperometry.
• Set up a system under various operating conditions.
• Carry out experiments to understand mechanisms.
• Identify components in final products.
• Apply the knowledge to correlate results / system operation.
• Set-up and monitor the performance of systems

Job Requirements:

• PhD degree in a relevant Science or Engineering field
• Strong analytical and conceptual abilities
• Proven ability to publish in conferences and journals
• Ability and willingness to train and supervise graduate students
• Background in physicochemical analysis (PhD or engineer with 3 years' experience)
• Strong background in instrumentation
• Good track record of publications and IPs
• Experience in lab setup or prototype development
• Familiarity with data analysis tools
• Good interpersonal skills
• Strong teamwork awareness

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

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

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

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

Job Description

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

• Master's Degree with 2 years of relevant work experience or Ph.D. candidates with at least 2 years experience as full-time candidate in Computer Science, Cybersecurity, or a related field: A terminal degree in a relevant field is essential to demonstrate the depth of knowledge and expertise required for conducting advanced research in AI and data security.
• Programming and Software Development Skills: Proficiency in programming languages such as Python, C/C++, or Java is necessary for developing and implementing AI algorithms and fuzzing tools. Experience with software development methodologies and version control systems is advantageous.
• Analytical and Problem-Solving Skills: Strong analytical skills and problem-solving abilities are essential for designing experiments, analyzing data, and deriving actionable insights from research findings. Experience with experimental design and statistical analysis techniques is beneficial.
• Communication and Collaboration Skills: Excellent written and verbal communication skills are required to convey complex ideas and technical concepts to both technical and non-technical audiences. Ability to collaborate effectively with interdisciplinary teams and communicate research findings clearly is crucial.
• Self-Motivation and Initiative: Demonstrated ability to work independently and take initiative in driving research projects forward. Proven track record of self-motivated learning and exploration of new methodologies and technologies in the field of AI and cybersecurity.
  
  Only shortlisted candidates will be notified.

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.

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

Key Responsibilities:

• Conduct in-depth research in sublinear time and learning augmented algorithms.
• Design, develop, and implement novel algorithms and models.
• Publish research findings in leading international conferences and journals.
• Collaborate effectively with faculty members, researchers, and students within CCDS and potentially with external partners.
• Contribute to the development of research proposals for grant applications.
• Mentor junior researchers and students, where applicable.
• Present research work at seminars, workshops, and conferences.
• Stay updated with the latest advancements in the relevant field of research.

Job Requirements:

• Preferably PhD in Computer Science 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
• Ability to initiate collaboration research in multidisciplinary team.
• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

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.

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

Key Responsibilities:

• To conduct independent research in Large Language Models and AI safety.
• To produce publications in top conferences and journals.
• To offer guidance and assistance to any students involved in the project.
• To collaborate with industrial and academic partners.
• To perform any other duties related to the research program.

Job Requirements:

• Preferably Master’s degree in Computer Science or relevant fields.
• Strong background in Large Language Models and AI Alignment, AI Safety.
• Strong publication record in top conferences/journals, such as ICML, NeurIPS, TMLR, ICLR, T-PAMI, IJCV, and etc.
• 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.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Research Fellow – Multimodal Time-Series Analytics & Explainability development of algorithm and system for the project

The School of Computing at the National University of Singapore (NUS) invites applications for a Postdoctoral Research Fellow position in the area of time-series analytics and explainable AI. The successful candidate will contribute to the MOE-funded project “Time Will Tell (TwT)”, which explores natural language-based interaction with time-series data. The role involves conducting research on multimodal learning and leading technical development efforts within the project.

Applicants should meet the following requirements:

• PhD Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field, obtained within the last five year
• Research Experience in one or more of the following areas:Time-series analytics or forecasting
  Natural language processing (especially question answering or language grounding)
  Multimodal learning (e.g., combining text with temporal or numerical data)
  Explainable AI (XAI) or interpretable machine learning
  
• Strong Publication Record in reputable international conferences or journals (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, SIGMOD, VLDB)
• Technical Skills:Proficiency in Python and major deep learning frameworks such as PyTorch or TensorFlow
  Familiarity with transformer architectures and large language models (e.g., BERT, GPT)
  Experience in building, training, and evaluating deep learning models on real-world datasets
  
• Communication & Collaboration:Ability to work independently and as part of a collaborative research team
  Strong written and oral communication skills
  Commitment to mentoring graduate and undergraduate students
  
• Desirable (but not required):Experience with time-series QA datasets (e.g., Time-MQA, TSQA, MTBench)
  Background in signal processing or domain-specific time-series (e.g., financial, medical)
  Experience with open-source contributions or system/toolkit development
  

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

The National University of Singapore (NUS), Department of Computer Science, is seeking a highly motivated and talented postdoctoral researcher to join our team investigating the application of Explainable Artificial Intelligence (XAI) for educational assessment. This project aims to develop and evaluate novel XAI techniques that leverage Human-Computer Interaction (HCI) principles and cognitive modeling to understanding, alignment, and trust in AI.

Responsibilities
• Conduct research on XAI methods for educational assessment, focusing on interpretability and explainability for both teachers and students, applying HCI principles and cognitive modeling approaches.
• Integrate HCI principles and cognitive modeling frameworks into the development of XAI methods.
• Develop and implement user studies to evaluate the effectiveness and usability of the XAI system in educational settings.
• Analyze and interpret research data.
• Contribute to the preparation of research manuscripts for publication in high-impact journals.
• Collaborate effectively with a team of researchers, including faculty, graduate students, and research assistants.

• Ph.D. in Computer Science, Human-Computer Interaction (HCI), Artificial Intelligence, Cognitive Science, or a closely related field
• Expertise with machine learning techniques; focus on educational assessment is a plus
• Expertise with conducting user studies, both qualitative and quantitative
• Familiarity with Explainable Artificial Intelligence (XAI) methods and human-AI topics
• Excellent research skills, including data analysis, interpretation, and scientific writing
• Strong communication and collaboration skills
• Ability to work independently and manage multiple tasks effectively

Join to apply for the Principal Research Scientist (Computer Science/Engineering) role at Nanyang Technological University Singapore

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Join to apply for the Principal Research Scientist (Computer Science/Engineering) role at Nanyang Technological University Singapore

ANGEL invites applications for the position of Principal Research Scientist.

Key Responsibilities

• Support the Director in providing strategic direction and leadership to guide the center of excellence in achieving its vision and mission.
• Assist the Director in offering scientific insights and strategic direction for research collaborations with industry partners.
• Help the Director plan, strategize, and implement frameworks and processes to meet the center's milestones and goals.
• Lead research programs focused on emerging technologies and talent development.
• Foster strong working relationships with internal teams and external collaborators to achieve common objectives.
• Provide mentoring, coaching, and support to researchers and PhD students.
  
  

• PhD degree from a world leading university, preferably in a field related to computer science/engineering, with at least 20 years’ experience in an educational and research environment.
• Strong leadership in managing executive and professional programmes
• Strong experience as subject matter expert in wireless communications, etc.
• Significant experience and success in lead strategic collaborations.
• Excellent oral and written communications, with strong interpersonal skills.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Other
• Industries Higher Education

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