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

Job Summary:

The Accounts Assistant is responsible for managing the Accounts Payable (AP) functions, ensuring accurate processing of subcontractors invoices, and performing vendor reconciliations. This role also includes handling small accounts, issuing sales invoices, preparing and filing GST returns, and performing bank reconciliations.

Key Responsibilities:

1. Responsible for Accounts Payable (AP) activities.
2. Process subcontractor invoices.
3. Perform vendor reconciliations.
4. Manage journal entries for the AP function.
5. Handle small set of accounts (less than 10 enteries per month).
6. Issue sales invoices
7. Process subcontractor invoices.
8. Prepare and file GST returns.
9. Perform bank reconciliations

Job Requirements

Education and Experience:

• A diploma or degree in Accounting, Finance or a related field.
• Minimum of 1 year experience in Accounts Payable, accounting, or a similar role.
• Experience with processing invoices, vendor reconciliations, and journal entries.
• Familiarity with GST regulations and filing procedures.

Skills and Competencies:

• Proficiency in accounting software (e.g. Microsoft Dynamics 365 Business Central )
• Clear and effective communication skills with a positive attitude.
• Ability to work independently with minimal supervision.

• Preparation

- Oversee central kitchen bakery team

- Producation planning and employee scheduling.

- Advance preparation, weighing is done accurately, check extensibility and following the daily mixing schedule

• Dividing - Understanding the characteristics of each dough and able to perform troubleshooting

• Shaping - Understanding the amount of portion filling, roll up without damaging the dough, shape properly and according to the procedure

• Baking - Understanding and following the baking procedure and process

• Filing - Can weight correctly and understand the expiration date of each filling

• Sanitation – Understand and follow the correct cleaning procedures

• Other duties – Any ad-hoc duties as required by the manager such as housekeeping

Requirements:

• Minimum 5 years experience of bakery culinary

• Rotating shift (44 hrs 6 days - Day and night shift )

• Work Location - Central Region
• Working Hours - Mon to Thurs 8.30am - 6pm, Fri 8.30am - 5.30pm
• Monthly Salary - up to $3160
• Govt Agencies, 12 months contract

Job Scope:

• Assist in planning and executing projects and events related to women’s development, including updating information repositories, monitoring media coverage on gender-related topics, and contributing to content creation such as social media posts and speeches.
• Conduct research and prepare briefs on gender equality indicators and international rankings, collating input from multiple stakeholders to support submissions to international platforms.
• Support engagement with corporate partners, non-governmental organisations, and other agencies to promote policies and initiatives that advance women’s development.
• Provide general administrative support, assist with budgeting tasks, and carry out ad hoc tasks as needed.

Requirements:

• Degree in a relevant field
• Strong written communication skills
• Policy research and analysis
• Project coordination and management
• Attention to detail

Interested candidates, kindly email your resume to: zuli.ng@tg-hr.com

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

Position Purpose

• Lead the kitchen operation team to prepare and deliver quality menu in accordance to concept offering

• Oversee the implementation of processes and guidelines in Kitchen Operations

• Train & develop kitchen staff in the preparation of all meals to the highest quality standards

• Position kitchen staff according to operation needs to maximize kitchen efficiencies

• Manage quality and level of kitchen inventory as well as products delivered from suppliers

• Understand food cost models and how these impact the profitability of the restaurantsResponsibilities• Menu Execution and Delivery

• Understand food cost models and how these impact profitability of restaurants

• Supervise stations to deliver orders in accordance to defined cooking processes, recipe and health & safety standard

• Conduct final check on finished product to ensure that food quality and presentation are in accordance to specifications of the menu

• Kitchen Processes and Concept Development

• Manage kitchen inventory levels and quality by placing orders for all food and kitchen supplies based on projected store demand endorsed by chef; and upon delivery, check to ensure quality of delivered supplies

• To support the projection and ordering of food and kitchen supplies by providing inventory report detailing usage & stock level, wastage and product shelf life while considering sales pattern and kitchen storage capacity

• Oversee the setting up and cleaning of stations by staff

• Oversee workflow for stations to ensure that processes adhered to specifications and guide line and to provide recommendations to improve efficiencyQuality Assurance & Control

• Investigate causes and reasons for customer complaints pertaining to food quality

• Oversee operations to ensure compliance with all safety procedures and guidelines

• Oversee preparation of all food in accordance to SOPs to ensure and maintain consistent food quality

• Oversee overall kitchen cleanliness and sanitary conditions and to ensure all kitchen equipment are in good working condition

• Take corrective actions to resolve unsafe and/or non-compliant conditions and behaviors regarding personal and food safety People Management

• Lead team by providing guidance, support and motivation

• Conduct induction for new hires to provide them with the necessary skills and information to carry out roles and functions

• Train and develop kitchen and kaiten staffs in the preparation of all meals to the highest quality standards while adhering to SOPs and workplace safety practices

• Carry out team management activities, including and not limited to appraisals, handling disciplinary issues and holding communication sessions in conjunction with immediate supervisor

• Carry out team management conversation with team members, including and not limited to doing appraisals and personal improvement plans in conjunction with immediate supervisor

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 Department of Biological Sciences invites applications for one Research Assistant position to study the impacts of climate change on tropical tree demography and forest dynamics, with a focus on the primary and secondary forests in Singapore. The appointment is for an initial period of one year with the possibility of contract renewal for an additional year. Successful candidates will be expected to assist with:

• field work, 
• physiological trait measurements and/or
• climate change experiments on seeds and seedlings.

Qualifications

A Bachelor of Sciences in Environmental Science or Ecology. Entry-level candidates are welcome to apply.

Skills:

Candidate should have strong written and communication skills, experience with field work and quantitative analysis, demonstrated ability to work in a team. Experience with growing plants or working in a plant nursery environment would be highly favoured.

Application Procedure:
Interested applicants should submit the following documents with the application: 

1. Cover letter, detailing how your skills and experience align with the requirements of the position
2. Curriculum vitae, listing relevant courses taken, projects or internships
3. Contact information for three referees, including one from a research supervisor (e.g., FYP, undergraduate research programme)

For enquiries on the appointment, please contact Dr. Lim Jun Ying at jylim@nus.edu.sg.

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 Department of Computer Science at the National University of Singapore (NUS) invites applications for tenure-track positions. We welcome outstanding applications in all areas of computer science, with a particular focus on AI (including foundational methods in AI, embodied AI/robotics, and AI for science), security (including secure and trustworthy AI), systems (including ML systems), and quantum computing. 
 
Candidates for Assistant Professor positions on the tenure track should demonstrate outstanding research potential, combined with a strong commitment to education. Candidates for senior positions should have an established record of outstanding, recognized research achievements and thought leadership in his/her chosen area of computer science.
 
The Department enjoys ample research funding, moderate teaching loads, excellent facilities, and extensive international collaborations. We have a full range of faculty covering all major research areas in computer science and boast a thriving PhD program that attracts the brightest students from the region and beyond. More information is available at www.comp.nus.edu.sg/careers.
 
NUS is situated in Singapore, an English-speaking cosmopolitan city that is a melting pot of many cultures, both the east and the west. Singapore offers high-quality education and healthcare at all levels, as well as very low tax rates.
 
To apply, please submit your application at https://faces.comp.nus.edu.sg/ and follow the submission instructions provided at the site.
 
Most applicants apply in Oct/Nov/Dec/Jan of the year but we accept applications year-around.

Qualifications

A PhD degree in Computer Science or related areas 

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.

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.

Key Responsibilities:

• Conduct research and development in machine learning, multimodal AI, and vision language models

• Implement and evaluate deep learning models and algorithms for research projects

• Process and manage large scale datasets for training and evaluation

• Write research papers, technical reports, and project documentation

• Collaborate with team members and external collaborators on research activities

Job Requirements:

• Preferably Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering 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 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.

Job Description

This is a full-time research assistant position.

Scope and Responsibilities:

Assisting research activities of faculty members at the Department of Economics.

Required skills and interests:

Good knowledge of economics research and solid data analytical skills. Familiar with Python, R, and Stata. Familiar with experimental economics methods.

Qualifications

A Bachelor’s degree in economics or related fields.

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

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

This position is part of the research project “Revolutionizing The Diagnostic and Therapeutic Paradigms of Inflammatory Bowel Disease via Ingestible Robotics,” which aims to develop novel ingestible robotic platforms for non-invasive diagnosis and targeted treatment of Inflammatory Bowel Disease (IBD). The project combines expertise in micro/nano-robotics, biomedical sensing, soft actuators, and gastrointestinal physiology to transform the clinical management of IBD.

We are looking for a Research Assistant to support the development and experimental validation of ingestible robotic systems for Inflammatory Bowel Disease (IBD) diagnostics and therapeutics. The role will focus on the design, fabrication, and testing of miniaturized robotic capsules, biocompatible sensing modules, and targeted drug delivery mechanisms. The successful candidate will work closely with the Principal Investigator and the research team in a dynamic, interdisciplinary research environment.

Key Responsibilities:

• Design, prototype, and fabricate ingestible robotic capsule systems

• Conduct in-vitro and ex-vivo experiments in simulated GI environments

• Develop and integrate biocompatible sensing modules for IBD biomarker detection

• Test targeted drug delivery mechanisms

• Perform data analysis and contribute to research publications

Job Requirements:

• Bachelor’s in electrical and Electronic Engineering, computer engineering, or related field

• Expertise in embedded system and FPGA

• Proficiency in basics of programming languages such as C, C++ and Python

• Knowledge in interfacing circuit design for low power sensing and wireless communication

• Familiarity with micro-fabrication techniques, rapid prototyping (e.g., 3D printing), or cleanroom processes is preferred

• Experience in experimental design and laboratory work, particularly in robotics, MEMS, or biomedical devices, is an advantage

• Proficiency in CAD software (e.g., SolidWorks, AutoCAD) and data analysis tools (e.g., MATLAB, Python)

• Good written and oral communication skills in English - essential for data analysis and communication with stakeholders

• Ability to work independently and collaboratively in a fast-paced, multidisciplinary research environment

• Meticulous with an eye for detail and strong organizational skills

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

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

We are looking for a research assistant to support the research progress on Perovskite quantum dots for their implementation in light-emitting devices

Key Responsibilities:

• Collaborate with the materials and device team

• Development of Infrared emitting Quantum Dots (QDs)

• Development of Optoelectronics devices based on QDs

• Synthesis of novel Perovskite low-dimensional systems such as QDs and nanowires.

• Optical and electrical characterization methodologies.

• Operation, maintenance, and diagnosis of the chemistry lab and other simple laboratory instruments used.

• Supervise undergraduate students

Job Requirements:

• Possess a Bachelor's degree in Physics/ chemistry/engineering or related disciplines.

• Experience in advanced laboratory experience in thermal evaporation

• Experience in advanced laboratory methods for the fabrication and analysis of solar cells

• Experience in Perovskite materials and optoelectronic devices

• Expert in Perovskite nanostructured synthesis. 

• Good interpersonal skills.

• Excellent teamwork awareness.

• Good communication and writing in English - essential for data analysis and communication with stakeholders

• Strong responsibility for research/work

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

The National Institute of Education invites suitable applications for the position of  Research Assistant on a 12-month contract at the Centre for Research in Child Development (CRCD).

Project Title: Development of a Holistic Progress Tool for the Early Childhood Sector

Project Introduction:

This project aims to develop a “Holistic Progress” (HOP) Tool that early childhood educators can use to observe and document children’s holistic development in the second year of kindergarten (i.e., at age 6 or K2). Phase 1 of the project focused on the development of the first cut of the teacher-completed HOP Tool (HOP V1) and preliminary tool completion guide. In Phase 2, HOP V1 will be piloted with K2 educators and will be refined into HOP V2 based on psychometric data and stakeholder feedback. In Phase 3, HOP V2 will be piloted with a new sample of EC educators of K2 children and child outcomes assessments will be administered to examine validity. In Phase 4, two rounds of FGDs will be conducted with EC educators to gather feedback on the HOP Tool and create the user guide.  

Requirements:

Essential:

• Bachelor’s degree in psychology, education, or a related field  

• Background in research methodology, with experience in conducting empirical studies

• Proficiency in both written and spoken English and Mandarin, to conduct orientation sessions with teachers who use Mandarin as their primary language on how to use research instruments, and to translate research materials and research data to Mandarin

• Strong communication skills, with ability to collaborate effectively with interdisciplinary teams and project stakeholders
   

Preferred:

• Experience in early childhood settings

• Experience with designing instruments or assessment tools and psychometric analysis

• Experience with statistical analysis and familiarity with software like R or SPSS

Responsibilities:

• Conduct orientation sessions with preschool Mother Tongue Teachers in Mandarin

• Translate research materials and data between English and Mandarin

• Assist with instrument development and refinement

• Prepare instruments for data collection

• Recruit participants and collect data using questionnaires and child assessments

• Train research assistants on how to administer child assessments

• Assist with data analysis using quantitative (e.g., psychometrics) and qualitative methods

• Write/prepare research reports and presentations independently

• Manage research-related administrative work, e.g., purchase of materials or equipment for research

• Liaise and work closely with project team members and stakeholders from external institutions

• Perform other tasks as required by the Principal Investigator

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.
Workday Job Requisition ID: R00023772
(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Centre-for-Research-in-Child-Development---NIE-_R00023772)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

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 successful candidate will work with Asst. Prof. Ou Pengfei on CO2 electroreduction mechanisms and catalyst design using first-principles simulations under a project on "CO2-to-n-propanol conversion on molecular electrocatalysts enabled by graph theory and machine learning".

The main responsibilities of the position include:
•    Perform density functional theory (DFT) calculations to investigate reaction mechanisms and energetics of CO2 electroreduction on molecular electrocatalysts.
•    Construct and analyze reaction networks using graph-theory-based approaches.
•    Apply machine learning methods to assist in reaction pathway discovery and catalyst screening.
•    Analyze and interpret computational results and assist in preparation of research reports and manuscripts.

Qualifications / Discipline:
•    Master’s degree in Chemistry, Chemical Engineering, Materials Science, or a related field, with a background in computational chemistry, catalysis, or theoretical materials science.

Skills:
•    Knowledge of density functional theory (DFT) and atomic simulations, as well as programming and data analysis skills (e.g., Python), and experience in scientific computing and high-performance computing environments. Strong analytical and problem-solving abilities, and effective scientific communication skills.

Experience:
•    Research experience in computational chemistry, electrocatalysis, or heterogeneous catalysis, including performing DFT calculations and analyzing catalytic reaction mechanisms. Experience in scientific data analysis and visualization, and the ability to participate in writing research reports, presentations, or publishing papers.

Position Purpose

• Lead the kitchen operation team to prepare and deliver quality menu in accordance to concept offering

• Oversee the implementation of processes and guidelines in Kitchen Operations

• Train & develop kitchen staff in the preparation of all meals to the highest quality standards

• Position kitchen staff according to operation needs to maximize kitchen efficiencies

• Manage quality and level of kitchen inventory as well as products delivered from suppliers

• Understand food cost models and how these impact the profitability of the restaurantsResponsibilities• Menu Execution and Delivery

• Understand food cost models and how these impact profitability of restaurants

• Supervise stations to deliver orders in accordance to defined cooking processes, recipe and health & safety standard

• Conduct final check on finished product to ensure that food quality and presentation are in accordance to specifications of the menu

• Kitchen Processes and Concept Development

• Manage kitchen inventory levels and quality by placing orders for all food and kitchen supplies based on projected store demand endorsed by chef; and upon delivery, check to ensure quality of delivered supplies

• To support the projection and ordering of food and kitchen supplies by providing inventory report detailing usage & stock level, wastage and product shelf life while considering sales pattern and kitchen storage capacity

• Oversee the setting up and cleaning of stations by staff

• Oversee workflow for stations to ensure that processes adhered to specifications and guide line and to provide recommendations to improve efficiencyQuality Assurance & Control

• Investigate causes and reasons for customer complaints pertaining to food quality

• Oversee operations to ensure compliance with all safety procedures and guidelines

• Oversee preparation of all food in accordance to SOPs to ensure and maintain consistent food quality

• Oversee overall kitchen cleanliness and sanitary conditions and to ensure all kitchen equipment are in good working condition

• Take corrective actions to resolve unsafe and/or non-compliant conditions and behaviors regarding personal and food safety People Management

• Lead team by providing guidance, support and motivation

• Conduct induction for new hires to provide them with the necessary skills and information to carry out roles and functions

• Train and develop kitchen and kaiten staffs in the preparation of all meals to the highest quality standards while adhering to SOPs and workplace safety practices

• Carry out team management activities, including and not limited to appraisals, handling disciplinary issues and holding communication sessions in conjunction with immediate supervisor

• Carry out team management conversation with team members, including and not limited to doing appraisals and personal improvement plans in conjunction with immediate supervisor