Total 180 science job vacancies in Singapore

The Singapore Centre for 3D Printing (SC3DP) offers a full range of additive manufacturing services, from design and infrastructure to production and validation. With advanced technologies such as topology optimization, generative design, and bioinspired design, SC3DP creates optimized products using a variety of novel materials and printing processes, including hybrid printing, post-processing, and emerging technologies. Sustainability is a top priority for SC3DP, which offers material development and control services that combine artificial intelligence, big data, and other digital tools for process optimization, as well as non-destructive testing for AM parts. Backed by a team of experts and a state-of-the-art facility equipped with the latest equipment and technologies, SC3DP is committed to leading the way in sustainable additive manufacturing research and development.

Key Responsibilities:

• Fabricate pure copper or copper alloy components via additive manufacturing techniques.
• Optimize the process window to enhance the print density and surface finish.
• Investigate potential solutions for the insulation of complex metal parts.
• Perform microstructure characterization on 3D-printed samples.
• Conduct tests of the mechanical and electrical properties on 3D-printed samples.
• Collaborate with other group members (including PhD students and research staff).
• Publish research findings in reputable international journals.

Job Requirements:

• Bachelor’s degree in Mechanical Engineering, Materials Science, or closely related field.
• In-depth knowledge in metallic materials and additive manufacturing.
• Good publication record (at least one first-author paper in international journals).
• Experimental skills in materials characterization and properties testing.
• Strong self-motivation and responsibility for research/work.
• Good communication and writing in English.

We regret that only shortlisted candidates will be notified.

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

We are seeking researchers to work on a computer vision project. The position is for one year, renewable subject to satisfactory performance. Successful candidates will conduct research and develop advanced deep learning algorithms either for i) image/video understanding, ii) image/video generation, iii) 3D point cloud analysis, iv) few-shot learning and weakly supervised learning, or v) online/continual learning. Candidates are expected to have a solid background in relevant areas.

Key Responsibilities:

• To independently undertake research in 3D computer vision.
• 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.

Job Requirements:

• Master's degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Strong background in machine learning and computer vision.
• Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc.
• Research experience in relevant areas would be desirable (preferably worked in R&D sector with industrial experience in the project-related field).
• Ability to work with limited supervision and work collaboratively in a multidisciplinary team.
• Ability and willingness to work some flexible hours.
• Good command of English, both oral and written along with the ability to communicate effectively with a wide range of individual and professional groups.

We regret that only shortlisted candidates will be notified.

The School of Social Sciences is inviting applications for the position of Project Officer. The Project Officer (PO) will join an expanding team to work on projects in the field of Psychosocial Rehabilitation and Chronic Disease Management. The PO will be working in the research lab “Action Research for Community Health (ARCH)”, and the primary study involves an intervention study that develops and test the efficacy of an integrative health coaching programme to support first-time stroke survivors and their family caregivers. The PO is expected to work closely with professionals in the field of medicine and rehabilitation sciences, as well as with clinical population groups.

Key Responsibilities:

• Plan, organize and implement research projects, in collaboration with principal investigators.
• Liaise with community collaborators
• Literature review
• Support data collection and research implementation
• Perform data transcription and data analysis
• Compile findings and draft research reports, as well as co-author academic journal publications with project principal investigators.

Job Requirements:

• Possess a Bachelor’s Degree in Psychology, Counselling, Social Work, Health Science or related fields from a reputable university (Soon to graduate students of the 2024 cohort are encouraged to apply)
• Must be fluent in Spoken and Written English and Mandarin/Malay because the faculty’s mixed methods research involves many Mandarin/Malay speaking older adults that need to be liaised with for the project, this requires not only verbal communication but also written communications skills as well due to transcription and translation work.
• Demonstrate excellent inter-personal communication skills
• Experience in quantitative, qualitative, mixed methods and intervention research
• Competent in MS Office, NVivo, SPSS and Qualtrics
• A team player with the ability to work independently in a multi-cultural environment

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is seeking to hire a Research Engineer II who will contribute to the development of graph-based reasoning networks for accurate and stable facial landmark detection models. The ideal candidate will possess the ability to apply recent technological advances in graph reasoning networks to the face alignment tasks.

Key Responsibilities:

• Develop graph-based reasoning networks for facial landmark detection.
• Develop spatial temporal graph-based reasoning network to improve the accuracy of video facial landmark detection.
• Develop stabilization methods for video facial landmark detection.
• Develop graph neural network theory.
• Develop sequence modeling theory.
• Develop deep learning methods and theory.
• Develop computer vision methods.

Job Requirements:

• Master's degree or higher in Computer Science/Engineering, or Electrical/Electronic Engineering.
• Strong mathematical background
• Top-tier AI venue publications are very much preferred
• Minimum of 2 years of work experience in a related field.
• Deep understanding of the theory of Machine Learning, Deep Learning, Computer Vision
• Experience in at least one Deep Learning framework such as Tensorflow, Pytorch and Programming Languages such as Python, Matlab, R and/or C/C++
• Demonstrated project experience related to graph-based reasoning and facial landmark detection will be an advantage.
• Good written and oral communication skills

We regret that only shortlisted candidates will be notified.

The College of Computing & Data Science (CCDS) is seeking an experienced Project Officer to join our research group for a one-year term.

In this role, you will provide strategic leadership and support for a project focused on Generative AI. Your responsibilities will include overseeing the research and development efforts, ensuring project objectives are met, and maintaining a strong financial foundation. You will also need to stay updated on market dynamics related to Generative AI and provide valuable insights to the team. This position requires excellent project management skills, team management support, strong financial acumen, copywriting abilities to deliver relevant project reports and a deep understanding of the Generative AI field.

Key Responsibilities:

• Project Planning and Strategy: create effective plans aligned with objectives; assess project requirements and make necessary adjustments; monitor project budget, activities, and progress.
• Risk Management and Analysis: assess potential risks, develop mitigation strategies, and capitalize on opportunities.
• Team Management and Support: organize and motivate the project team by providing leadership, fostering effective communication, and promoting excellence and innovation; assist with administrative tasks and support project execution; collaborate to secure necessary resources for project implementation.
• Deliverable Management: Coordinate testing, documentation, and integration of project deliverables; monitor timelines, identify and address delays to meet project deadlines.
• Project Performance Evaluation and Reporting: evaluate project performance, maintain accurate project documentation, and provide timely reporting.
• Meeting Organization and Documentation: schedule and facilitate project meetings, accurately record meeting discussions, decisions, and action items.
• Collaboration with industrial and academic partners, keep smooth contact for all relevant sides.
• Conduct market research to identify target audiences, assess industry trends, and evaluate market demand.
• Develop and manage project budgets, ensuring proper allocation and control of expenses.
• Deliver relevant project reports.

Job Requirements:

• A bachelor's degree in either computer science, artificial intelligence, data science, or business administration, management, or a related field.
• Experience in project management, preferably in the field of Generative AI.
• Strong financial management skills, including budgeting, forecasting, and financial analysis.
• In-depth knowledge of Generative AI technologies, trends, and market dynamics.
• Excellent communication skills to effectively guide the research team and collaborate with stakeholders.
• Ability to prioritize tasks, manage resources efficiently, and deliver high-quality results within project timelines.
• Strong analytical and problem-solving abilities, capable of handling multiple tasks across projects and research activities.

We regret that only shortlisted candidates will be notified.

S Lab is seeking a project officer to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will be involved in a project that is related to generative design.

Key Responsibilities:

• To independently undertake research in computer vision and machine learning.
• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.
• To provide 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.

Job Requirements:

• Bachelor’s Degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Strong background in machine learning and computer vision.
• Knowledge of scientific or engineering software like PyTorch, TensorFlow, Keras, etc.
• Research experience in relevant areas would be desirable (preferably worked in R&D sector with industrial experience in the project-related field).
• Ability to work with limited supervision and work collaboratively in a multidisciplinary team.

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a motivated Senior Research Scientist to conduct cutting-edge research in the topic of “Green Cloud Computing”.

Key Responsibilities:

• Developing physics-based and data-driven models to characterize dynamics of the interconnected data center systems, including computing, cooling and electric supply;
• Developing optimization algorithms to minimize carbon usage subject to certain system constraints;
• Supervising junior graduate students;
• Writing technical reports, including papers, patents and technical disclosures;
• Working closely with team members/engineers and assist in developing new features;
• Ensuring responsiveness of applications;
• Diagnosing the issue and resolving it on demand.

Job Requirements:

• PhD Degree in computer science, computer engineering, electrical engineering, control and science engineering, information system or a related discipline;
• At least 2 – 3 years’ work experience in relevant areas;
• Strong research record, preferably on top-tier computer science/engineering conferences or journals;
• Proficiency with Python and relevant packages, like NumPy, Pandas, PyTorch or Tensorflow;
• Experience in other programming languages, like C/C++, MATLAB
• Excellent verbal communication skills and good problem solving skills;
• Attention to detail.

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a motivated Research Scientist to conduct cutting-edge research in the topic of “Green Cloud Computing”.

Key Responsibilities:

• Developing physics-based and data-driven models to characterize dynamics of the interconnected data center systems, including computing, cooling and electric supply;
• Developing optimization algorithms to minimize carbon usage subject to certain system constraints;
• Supervising junior graduate students;
• Writing technical reports, including papers, patents and technical disclosures;
• Working closely with team members/engineers and assist in developing new features;
• Ensuring responsiveness of applications;
• Diagnosing the issue and resolving it on demand.

Job Requirements:

• PhD Degree in computer science, computer engineering, electrical engineering, control and science engineering, information system or a related discipline;
• Strong research record, preferably on top-tier computer science/engineering conferences or journals;
• Proficiency with Python and relevant packages, like NumPy, Pandas, PyTorch or Tensorflow;
• Experience in other programming languages, like C/C++, MATLAB
• Excellent verbal communication skills and good problem solving skills;
• Attention to detail.

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a motivated Research Engineer to conduct cutting-edge research in the topic of “Green Cloud Computing”.

Key Responsibilities:

• Develop and implement the data and model interface for the AI/Data Twin platform with IoT or BMS systems.
• Debug and deploy the AI/Data Twin platform in on-site or cloud environments.
• Collaborate with the team to develop automation tools to optimize integration and deployment processes.
• Regularly maintain deployed platforms and perform data analysis.
• Prepare system delivery documents and maintenance reports.
• Quickly identify issues and develop solutions.

Job Requirements:

• Bachelor’s or Master’s degree in Computer Science, Automation, or a related field.
• 2-3 years of experience in DevOps and IT systems maintenance (Linux).
• Proficient in operating systems, Docker, and Kubernetes.
• Skilled in Shell programming and fundamental Python programming.
• Familiar with cloud platforms such as AWS and Azure.
• Understanding of DevOps and automated testing tools, such as Ansible and Selenium.
• Excellent communication and problem-solving skills.
• Priority given to those with a background in power systems or cooling systems.
• Ability to quickly learn new technologies.

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a motivated Research Engineer to conduct cutting-edge research in the topic of “Green Cloud Computing”.

Key Responsibilities:

• Deploy and test software systems to ensure functionality and quality.
• Develop and maintain system documentation and test cases.
• Collaborate with the development team to integrate software components.
• Troubleshoot and resolve system issues.
• Conduct system performance and reliability testing.
• Monitor system performance and implement improvements as needed.

Job Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Proven experience in software system deployment, testing, and maintenance.
• Experience with programming and scripting languages, such as Python and Bash
• Familiarity with DevOps practices and tools
• Experience with system monitoring and performance testing tools.
• Experience with cloud platforms such as AWS and containerization technologies like Kubernetes (k8s).
• Knowledge in IoT or digital twins will be a plus.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration skills.

We regret that only shortlisted candidates will be notified.

ERIAN invites applications for the position of Research Associate.

Key Responsibilities:

• Advance our Metaverse driven Bigdata fusion platforms development efforts by working closely with other Bigdata Data, Analytics and Automation professionals and Advanced AI experts to understand complex business problems and co-create digital solutions driven by data science models
• See your AI and ML algorithms and solutions get scaled and deployed, while learning from your mistakes
• Identify better data science approaches and methods to innovate across the Smartgrids, Smartfactroies through team challenges, to collaborations with external industry disruptors
• Ask and answer questions in large datasets and have a strong desire to create strategies and solutions that challenge and expand the thinking of everyone around you
• Collaborate in cross functional teams to co-create solutions to business problems, bringing a combination of data science expertise with business acumen to drive pragmatic, business driven value.
• Keeping abreast of latest developments in the field and identifies opportunities to apply within our organization

Job Requirements:

• Master in Computer Science, or Electrical Engineering from a reputable institute
• Must have 3 to 4 years of experience with a research orientation, Advanced Artificial Intelligence and deep problem-solving capabilities
• Must have a solid understanding of Machine Learning concepts and Statistical Algorithms
• An experience in building FFT models shall be a great advantage
• Must have experience in developing ML models like Auto-encoders, Random Forest, SVM etc
• Must have a good hands-on experience on Python Programming, Pandas, Numpy, Matplotlib, TensorFlow, Keras and other AI Libraries
• Must have a hands-on experience on OpenCV, TensorFlow, Kuda, CNN models
• Must have experience in deploying AI Models to Production
• Experience in understanding business needs and translating to a data-science problem
• Able to generate new ideas and to effectively communicate about these ideas
• Passion for cutting edge Artificial Intelligence/machine learning technologies.
• Knowledge of Cluster Analysis, Classification Trees, Discriminate Analysis, Neural Networks, Deep Learning, Logistic Regression, Associations Analysis and SNA
• Experience of Regression, Multi-criteria Decision Making, Markov Process, Descriptive Statistics, Hypothesis Testing, Segmentation/ Classification, Predictive Analytics
• Excellent problem solving and Communication skills
• Passion for R&D and technical excellence, self-motivated, strong problem analysis and solving skills

We regret that only shortlisted candidates will be notified.

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

Key Responsibilities:

• Survey existing studies on mobile data visualization design and its interaction
• Develop new techniques for the design and creation of mobile-friendly data visualizations
• Develop novel techniques for effective and convenient user interactions with data visualization on mobile devices
• Implement the proposed approaches and conduct extensive evaluations
• Document writing on summarizing the research outputs

Job Requirements:

• Master/Bsc degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum 1 year of relevant research experience in data visualization, human computer interaction, machine learning, data mining or data analytics
• It is preferred that the applicant is a matriculated student of another University at the point of application and has relevant research experience in data visualization, human computer interaction, machine learning, data mining or data analytics
• Basic knowledge/Proficiency in programming software/languages such as Python, JavaScript, D3 and HTML5 is required
• Applicants with Android/iOS app development experience and research publications in data visualization area will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members
• Proficient in English speaking and writing

We regret that only shortlisted candidates will be notified.

The School of Physical and Mathematical Sciences (SPMS) is looking for a motivated and adaptive individual to join us as a Research Fellow to start as soon as possible. This position is funded by a Ministry of Education AcRF Tier 2 grant of Li Yi. The goal of the project is to develop new theory and algorithms for massive datasets, with a particular focus on online algorithms related to numerical linear algebra.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Key Responsibilities:

• Pursue cutting-edge research in algorithms for massive datasets, such as dimension reduction techniques, streaming algorithms, and online algorithms
• Writing or contributing to publications, and attending conferences and workshops, for disseminating research findings. Travel support is possible.

Job Requirements:

• Ph.D. in theoretical computer science, mathematics, or a relevant area
• Good background of probability in theoretical computer science
• Research experience, as evidenced by a history of relevant publications, is expected. Publications in top venues are highly desired.
• Research experience in problems related to (1) metric embeddings, (2) non-asymptotic analysis of random matrices or (3) big data algorithms (such as sublinear-time algorithms, streaming algorithms and randomized numerical linear algebra algorithms) would be an advantage, but also welcome applicants with different backgrounds who are keen to apply their knowledge to new problems
• Excellent written and spoken communication skills

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

Rehabilitation Research Institute of Singapore invites applications for the position of Research Associate.

Key Responsibilities:

• Assist in the development and application of data analysis algorithms for medical data.
• Participate in research projects, contributing to data collection, analysis, and the preparation of reports and publications.
• Collaborate with team members to identify research opportunities and innovative data analysis strategies.
• Support the maintenance and organization of research data in compliance with ethical standards.
• Engage in continuous learning to improve skills in AI, data science, and medical data analysis.

Job Requirements:

• Master's degree in Computer Science, Electrical and Electronic Engineering, Biostatistics, health sciences or allied health or medicine or a related discipline, with a strong emphasis on AI and data science.
• Experience with machine learning techniques and statistical analysis.
• Familiarity with medical data types, such as neurophysiological data, sensor data, and medical records.
• Proficiency in programming languages used in data science, like Python or R.
• Good communication skills and the ability to work collaboratively in a multidisciplinary team.

We regret that only shortlisted candidates will be notified.

Rehabilitation Research Institute of Singapore invites applications for the position of Research Fellow.

Key Responsibilities:

• Design and implement advanced data analysis algorithms to process and analyze medical data.
• Collaborate with medical professionals and researchers to understand their data analysis needs and provide AI-driven solutions.
• Lead research projects, write grant proposals and publish findings in high-impact journals.
• Mentor junior team members and contribute to the development of their skills.
• Stay up-to-date with the latest developments in AI, data science, and medical research to ensure the application of best practices.

Job Requirements:

• PhD in Computer Science, Electrical and Electronic Engineering, Biostatistics, health sciences or allied health or medicine or a related field.
• Experiences in AI and data analysis are essential.
• Entry Level candidates are welcome if their PhD theses are in the field.
• Strong background in machine learning, statistics, and computational modeling.
• Experience in analyzing medical data, such as neurophysiological data, sensor data, or clinical data.
• Proficiency in programming languages commonly used in data science, such as Python, STATA, SPSS, Matlab.

We regret that only shortlisted candidates will be notified.

Rehabilitation Research Institute of Singapore invites applications for the position of Research Fellow.

Key Responsibilities:

• Design and implement advanced data analysis algorithms to process and analyze medical data.
• Collaborate with medical professionals and researchers to understand their data analysis needs and provide AI-driven solutions.
• Lead research projects, write grant proposals and publish findings in high-impact journals.
• Mentor junior team members and contribute to the development of their skills.
• Stay up-to-date with the latest developments in AI, data science, and medical research to ensure the application of best practices.

Job Requirements:

• PhD in Computer Science, Electrical and Electronic Engineering, Biostatistics, health sciences or allied health or medicine or a related field.
• Experiences in AI and data analysis are essential.
• Entry Level candidates are welcome if their PhD theses are in the field.
• Strong background in machine learning, statistics, and computational modeling.
• Experience in analyzing medical data, such as neurophysiological data, sensor data, or clinical data.
• Proficiency in programming languages commonly used in data science, such as Python, STATA, SPSS, Matlab.

We regret that only shortlisted candidates will be notified.

Rehabilitation Research Institute of Singapore invites applications for the position of Research Fellow.

Key Responsibilities:

• Design and implement advanced data analysis algorithms to process and analyze medical data.
• Collaborate with medical professionals and researchers to understand their data analysis needs and provide AI-driven solutions.
• Lead research projects, write grant proposals and publish findings in high-impact journals.
• Mentor junior team members and contribute to the development of their skills.
• Stay up-to-date with the latest developments in AI, data science, and medical research to ensure the application of best practices.

Job Requirements:

• PhD in Computer Science, Electrical and Electronic Engineering, Biostatistics, health sciences or allied health or medicine or a related field.
• Experiences in AI and data analysis are essential.
• Entry Level candidates are welcome if their PhD theses are in the field.
• Strong background in machine learning, statistics, and computational modeling.
• Experience in analyzing medical data, such as neurophysiological data, sensor data, or clinical data.
• Proficiency in programming languages commonly used in data science, such as Python, STATA, SPSS, Matlab.

We regret that only shortlisted candidates will be notified.

We are seeking a research fellow to join RRIS. The research fellow will play a crucial role in managing the daily operations of the institute, driving our research initiatives forward, and ensuring that our projects are executed effectively and efficiently. This position reports directly to the Co-Directors of the Institute and works closely with various teams to foster innovation, collaboration, and excellence in rehabilitation research.

Key Responsibilities:

• Research Leadership and Management: Oversee ongoing research projects, ensuring they align with the institute’s objectives. Spearhead the development of new research proposals, securing funding and resources necessary for execution.
• Operations Management: Assist in the daily administrative operations of the institute, including budget management, staff coordination, and the implementation of policies and procedures to enhance operational efficiency.
• Team Development and Mentoring: Play an active role in the recruitment, training, and development of research staff. Mentor junior researchers and support staff, fostering a culture of learning and professional growth.
• Collaboration and Partnership Building: Cultivate relationships with academic, clinical, and industry partners to advance the institute’s research goals. Represent the institute in professional forums, conferences, and collaborations.
• Dissemination of Findings: Ensure the findings from research activities are disseminated through appropriate channels, including peer-reviewed publications, conferences, corporate channels and public engagement initiatives.

Job Requirements:

• PhD in Science, Engineering, Neuroscience, Psychology, or a closely related field.
• At least 3 years of postdoctoral research experience, preferably within a research institute or academic setting, with demonstrated expertise in the related area.
• Strong leadership and management skills, with the ability to motivate, guide, and develop a diverse team of professionals.
• Proven track record of managing a center, institute, or a team.
• Exceptional verbal and written communication skills, with the ability to effectively convey complex information to a variety of audiences.

We regret that only shortlisted candidates will be notified.

Rehabilitation Research Institute of Singapore invites applications for the position of Research Associate.

Key Responsibilities:

• Assist in the development and application of data analysis algorithms for medical data.
• Participate in research projects, contributing to data collection, analysis, and the preparation of reports and publications.
• Collaborate with team members to identify research opportunities and innovative data analysis strategies.
• Support the maintenance and organization of research data in compliance with ethical standards.
• Engage in continuous learning to improve skills in AI, data science, and medical data analysis.

Job Requirements:

• Master's degree in Computer Science, Electrical and Electronic Engineering, Biostatistics, health sciences or allied health or medicine or a related discipline, with a strong emphasis on AI and data science.
• Experience with machine learning techniques and statistical analysis.
• Familiarity with medical data types, such as neurophysiological data, sensor data, and medical records.
• Proficiency in programming languages used in data science, like Python or R.
• Good communication skills and the ability to work collaboratively in a multidisciplinary team.

We regret that only shortlisted candidates will be notified.

We are seeking a research associate to join a university-level research centre collaborating with industry. The position is for one year, renewable subject to satisfactory performance. Successful candidates will conduct research and develop advanced deep learning algorithms for multi-modality learning and 3D vision. Candidates are expected to have a strong background in relevant areas.

Key Responsibilities:

• To independently undertake research in machine learning and computer systems.
• To produce research papers and reports as required by the funding body or for dissemination to the wider academic community.
• To provide guidance and support to 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.

Job Requirements:

• Master’s degree or Bachelor’s degree of at least 2 years working experience in Computer Engineering, Computer Science, Electronics Engineering or equivalent.
• Strong background in deep learning and distributed systems. Prior experience in comuter system and resource management, container techniques and deep learning environment development is preferable.
• Strong publication records in top-tier artificial intelligence or computer systems conferences/journals, such as NeurIPS, ICML, ICDCS, SoCC, OSDI and SOSP.
• Knowledge of scientific or engineering software like PyTorch, TensorFlow, Kubernetes, etc.
• Research experience in relevant areas would be desirable (preferably worked in R&D sector with industrial experience in the project-related field).
• Ability to work with limited supervision and work collaboratively in a multidisciplinary team.
• Ability and willingness to work some flexible hours.
• Good command of English, both oral and written along with the ability to communicate effectively with a wide range of individual and professional groups.

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We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a Research Engineer I or II to work on Large Language Models for Health. This role requires a passion for innovation, the ability to work effectively in a collaborative environment, and a commitment to contributing to groundbreaking discoveries in project-based research.

Key Responsibilities:

• Work closely with the Principal Investigator (PI) and team members/engineers to design and implement LLMs-based conversational agents.
• Assist in data and LLM analysis and conducting experiments for project-based research questions.
• Assist in developing algorithms and models based on existing LLMs to enhance multi-turn conversations, proactive inquiry, and knowledge-guided common-sense reasoning in conversational agents.

Job Requirements:

• Master’s degree or Bachelor’s Degree in computer science/engineering.
• Solid knowledge in Natural Language Processing, LLMs, or conversational AI.
• Proficient in programming languages and frameworks relevant to machine learning, specifically Python and PyTorch.
• Able to test, debug and optimize existing code base and other features.
• Excellent communication skills and good problem-solving skills.
• Relevant publication record in NLP and conversational AI is preferred.

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a research scientist to independently conduct research with strong self-motivation and exploration spirit.

Key Responsibilities:

• Conduct high-quality research on LLMs-based conversational agents.
• Develop new algorithms and models to enhance multi-turn conversations, proactive inquiry, and knowledge-guided common-sense reasoning.
• Conduct experiments to gain insights on project-related research questions and publish findings in top-tier conferences.
• Apply research outcomes to conversational agents in medical and e-commerce scenarios.

Job Requirements:

• Ph.D. Degree in Computer Science and Engineering or related field.
• Expertise in Natural Language Processing, LLMs and conversational research.
• Demonstrated publication record in top-tier conferences such as ACL, AAAI, NeurIPS, ICLR, or similar.
• Strong analytical and problem-solving skills with proven experience in designing, implementing, and evaluating algorithms and models, particularly in LLMs and Conversational AI.
• Ability to work independently and collaboratively in a research environment, with excellent communication skills for presenting research findings.

We regret that only shortlisted candidates will be notified.

We are looking for a highly motivated candidate to join our team as a Research Assistant.

Key Responsibilities

• Conduct research in learning to optimize.
• Collaborate with fellow researchers to design advanced algorithms and theories.
• Publish academic papers or patents.
• Guide and support associated students
• Participate in and contribute to pertinent meetings.

Job Requirements

• A Bachelor degree in Computer Science, Mathematics, Statistics, or relevant fields.
• Strong background in machine learning.
• Experience in machine learning for optimization is preferable.
• Knowledge with machine and deep learning software packages & libraries such as Torch, TensorFlow, Scikit-learn.
• Have good coding skills
• Excellent written and communication skills in English language.

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is seeking to hire a Research Engineer II who will contribute to the design and execution of robust research initiatives aimed at cultivating green premium strategies and green recommendation systems, fostering environmental benefits.

Key Responsibilities:

• Designing and conducting comprehensive research focused on developing green premium strategies and green recommendation systems to enhance environmental benefits.
• Proposing recommendation methodologies that guide users towards more sustainable lifestyle choices by leveraging data analytics and user behavior insights.
• Developing or fine-tuning large language models (LLMs) that are optimized to influence and persuade consumers to prefer environmentally sustainable products.

Job Requirements:

• Masters’s degree in Computer Science or a related discipline.
• Possess a strong knowledge of deep learning techniques and recommendation system architectures aimed at enhancing the precision of guiding consumers towards sustainability. Demonstrated research experience or a proven track record in these areas is advantageous.
• Proficient in data analysis and data mining, with the ability to extract and interpret complex data sets to improve recommendation algorithms and strategies.
• Capable of collaborating effectively within interdisciplinary teams.
• Excellent communication and written skills in English.

We regret that only shortlisted candidates will be notified.

The School of Civil and Environmental Engineering (CEE) is looking for a candidate to join them as a Research Associate.

The research associate will work on a project to conduct the research on development of public trust and acceptance in future intelligent vehicles.

Key Responsibilities:

• Assist in experiment and questionnaire design
• Develop multinomial logit models for intelligent vehicles
• Conduct data analysis of public trust and acceptance in intelligent vehicles
• Formulate strategies to promote human-machine cooperation
• Responsible for manuscript preparation

Job Requirements:

• Master’s Degree in Transportation Management, Supply Chain & Logistics Management, Economics, Data Science or related field
• Expertise in survey design
• Proficient in statistical modelling and econometrics
• Research on the human-machine interaction of intelligent vehicles
• Prepare and publish research papers on top journals
• Knowledge in the transport industry is an advantage
• Good publication track record is an advantage
• Proficiency in English is an advantage for data analysis

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