Total 305 Junior Executive level Science / R&D / Research job vacancies

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

• This position is for School of Economics (SOE).
• This role will be responsible for the theoretical derivation of econometric models, such as Vector Error Correction Models, ARIMA, and VAR.
• Additionally, the associate will develop programs to perform simulation studies.
• Other duties as assigned.

• Master's degree in Economics, Statistics, Actuarial Science, or a related quantitative discipline is preferred.
• Candidates with a Bachelor's degree in Economics, Statistics, Actuarial Science, or a related field will be considered if they demonstrate strong research aptitude, relevant expertise, and/or a keen interest in research.
• Possess knowledge in economics, statistics, or actuarial science.
• Proficient in statistical programming techniques using Python, R, and SQL.

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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.

Job Description

The Research Assistant will be members of the ACI research team, working under ACI Director, Professor Paul Cheung, to work on a number of projected related to China economies.

The candidate should have experience in policy analysis and be familiar with the socioeconomic development of China economies.

Qualifications

•    Bachelor/Masters degree in Economics, Social Sciences, or equivalent
•    Familiar with socioeconomic development of China economies
•    Familiar with working on the large economic datasets for statistical analysis
•    Demonstrate good organisational and analytical skills
•    Strong proficiency in both English and Chinese is required, as the role involves frequent communication, documentation, and collaborations in these languages
•    Able to multitask and manage tight timelines
•    Able to work in a team as well as independently and must be highly self-motivated
•    Able to commit to at least 1 year of service

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.

Job Description

The National University of Singapore invites applications for the position of Research Assistant 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.

Tasks

• 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.

Qualifications

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research

Duke-NUS Medical School (Duke-NUS), Singapore’s only graduate-entry medical school was established as a landmark collaboration between two world-ranking institutions of higher education – Duke University and National University of Singapore. Duke-NUS provides innovative education and impactful research to enhance the practice of medicine in Singapore and beyond. Through its strategic partnership with Singapore Health Services (SingHealth), the School is able to leverage its joint capabilities and infrastructure to develop outstanding clinical education programmes and cutting edge research collaborations that translate fundamental science into better health.

The Centre for Vision Research brings together the synergies of strength and capabilities as well as expertise in ophthalmology and vision sciences research within the SingHealth Duke-NUS Academic Medical Centre. It paves the way for the creation of an all-encompassing amalgamated clinical, experimental and fundamental vision sciences platform that is able to holistically address all areas of vision disorders. This is aligned with the current goals of Singapore’s biomedical sciences initiative, in which the application of early and late- stage translational research with direct clinical and population impact is a top priority.

Duke-NUS seeks highly qualified candidates for faculty appointments with tenure/on tenure/without tenure to fulfil the School’s academic and/or research enterprise.

• Demonstrate potential to achieve excellence in research as evidenced by the quality and quantity of publications, and quality of dissertation.
• Provide expertise in education through specialisation in expertise area(s), competency in teaching, and contributions to development of course materials and pedagogy.
• Contribute to service where applicable.

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.

Job Description

We are seeking a motivated Research Assistant to support experimental activities in materials research through process optimization, workflow development and prototype-related tasks. 

1. Process Optimization & Workflow Development

•    Help refine and optimize fabrication procedures, including standardizing steps and organizing parameters.
•    Develop structured experimental workflows, checklists, and documentation to improve reproducibility.
•    Assist in preparing and updating detailed procedural guides, diagrams, and SOPs.
•    Identify gaps in existing processes and propose improvements to efficiency and consistency.
•    Track sample preparation, experimental sequences, and process variations.

2. Prototype Development Support

•    Assist in assembling and preparing experimental materials, soft devices, fibers, or related prototypes.
•    Support scaling experiments, repeatability studies, and parameter tuning.
•    Conduct basic stability or performance monitoring tasks.
•    Organize and label prototypes or samples for testing.
•    Assist in troubleshooting simple issues in experimental setups.

3. Experimental Support Tasks

•    Perform basic measurements and data collection.
•    Prepare samples for testing workflows.
•    Carry out routine checks on equipment, tools, and work areas.
•    Help with maintaining well-structured records of experimental conditions and results.

Qualifications

Required

•    Bachelor’s degree in Materials Science, Mechanical Engineering, or other relevant Engineering fields. 
•    Strong organizational skills and attention to detail.
•    Ability to structure workflows and manage process optimization.
•    Responsible, proactive, and willing to learn and coordinate experimental procedures.

Preferred

•    Experience in structured research environments or procedural documentation.
•    Familiarity with materials fabrication, soft devices, fibers, or prototyping.
•    Ability to write clear technical notes or step-by-step instructions.
•    Interest in process refinement and translational research.