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

The National Institute of Education invites suitable applications for the position of Research Assistant on a 12-month contract at the English Language and Literature department.

Project Title: Train Your Dragon: Fine-tuning Large Language Models to Create Agentic AI for Automatic Assessment Generation

Project Introduction:

This position involves two closely related research strands at the intersection of language assessment and artificial intelligence. The first focuses on developing agentic AI systems to support the automated construction and evaluation of language tests. This includes fine-tuning large language models (LLMs) for tasks such as item generation, test assembly, and automated essay scoring, with an emphasis on validity, reliability, and methodological transparency.

The second strand centers on advancing LLM-based spoken dialog systems integrated with sensor technologies, including neuroimaging and eye-tracking. Building on our existing in-house platform, the research assistant will extend system capabilities to address emerging research questions related to cognitive load, interaction dynamics, and adaptive dialogue management. This role requires both technical development and empirical research, contributing to innovative approaches in technology-enhanced language assessment.

A. Required background and skills

• Bachelor’s degree in computer science, artificial intelligence, data analytics, computational psychology, or a closely related field

• Demonstrated experience with large language models (LLMs), including fine-tuning, APIs, or related methods for text generation or evaluation tasks

• Programming proficiency in Python (knowledge of R is an advantage)

• Experience developing agentic AI systems using LLM APIs/SDKs, including tool use, orchestration, and workflow design

• Proficiency in one or more of the following areas: natural language processing (NLP) and/or speech technologies (e.g., ASR, TTS, dialog systems)

• Reliable background in quantitative and computational methods

• Working understanding of experimental research design and data analysis
  

B. General competencies

• Strong motivation for interdisciplinary research and ability to work collaboratively in a team environment

• Strong teamwork skills, openness to innovative ideas, and intellectual curiosity

• Resilience and persistence in tackling complex research and development challenges

• Excellent written and verbal communication skills in English
  

C. Preferred

• Experience with automated item generation, automated essay scoring, or educational measurement applications of AI

• Familiarity with spoken dialog systems or conversational AI development

• Familiarity with sensor-based research methods (e.g., EEG, fNIRS, eye tracking)—training will be provided

• Familiarity with neurofeedback and human–computer interaction (HCI) methods

• Experience working with multimodal data (e.g., speech, text, physiological signals)

• Prior involvement in interdisciplinary projects combining AI, language, and cognitive science

• Experience contributing to academic publications or conference presentations
  

Responsibilities:

• Develop and fine-tune LLMs for language assessment applications, including automated item generation, test assembly, and automated essay scoring

• Design and implement agentic AI systems using LLM APIs/SDKs, including tool integration, workflow orchestration, and iterative model improvement

• Contribute to the development and extension of in-house spoken dialog systems for research and experimental use

• Integrate and manage multimodal data streams (e.g., speech, text, neuroimaging, eye tracking) within dialog system architectures

• Support the design and implementation of experimental studies involving human-AI interaction and sensor-based data collection

• Analyze and interpret quantitative and multimodal datasets using appropriate statistical and computational methods

• Collaborate with interdisciplinary team members across AI, language assessment, and cognitive science domains

• Contribute to the preparation of research outputs, including conference papers, journal articles, and technical reports

• Document code, models, and experimental procedures to ensure reproducibility and scalability

• Assist in maintaining and improving research infrastructure, including codebases, APIs/SDK integrations, and experimental platforms

• Any other duties as assigned by the Principal Investigator
  

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Closing Date

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

The National Institute of Education invites suitable applications for the position of Research Assistant on a 12-month contract at the English Language and Literature department.

Project Title: The Nature of Human-AI Interactions in Multimodal Academic Lecture Assessment: A Generative AI and Sensor Technology Investigation

Project Introduction:

Recent developments in generative AI are transforming how we create educational content and assess language skills. Tools that generate spoken or video-based content, as well as conversational AI systems, are increasingly used in language learning and testing. These technologies hold significant promise but also raise important questions about how learners interact with and respond to AI-driven materials.

This project investigates how learners engage with educational content and interactive systems powered by generative AI. It explores the neurobiological, emotional, and behavioral aspects of listening and conversation in academic settings, focusing on the ways learners process spoken input, engage with digital characters, and experience language-based interaction in AI-enhanced environments. The study involves two phases. One focuses on how learners respond to academic input in various formats, and the other explores user interaction with conversational systems built on generative AI. Across both phases, the project will use a range of behavioral, neurophysiological, and self-report measures to gain a well-rounded understanding of user engagement and comprehension. The findings are expected to inform future practices in using AI technology, language assessment, and learner-centered design.

Requirements

• Bachelor's degree in computer science and/or data analytics; quantitative and computational language sciences; cognitive neuroscience, or a closely related field
• Demonstrated expertise in generative AI tools, including text-to-speech (TTS), large language models (LLMs), text-to-video (TTV), automatic speech recognition (ASR), or their combination
• Working knowledge of neuroimaging techniques such as fNIRS (training will be provided)
• Theoretical and/or practical familiarity with eye-tracking methodologies (training will be provided)
• Strong background in programming languages such as Python
• Background in quantitative and computational methods (training will be available during the project)
• Strong motivation for scientific inquiry, effective collaboration skills, and a constructive team-oriented mindset
• Excellent written and verbal communication skills in English

Preferred

• Familiarity with cloud-based integrated development environments (IDEs) as well as APIs
• Prior involvement in interdisciplinary research projects (e.g., cognitive science and computer science)
• Experience contributing to peer-reviewed publications or conference presentations

Responsibilities:

• Designing experimental protocols and research instruments that integrate generative AI technologies
• Developing AI-enhanced materials and tools, including listening tasks and GenAI-based conversational systems
• Data preparation and conducting quantitative and computational analyses using programming languages such as Python and R
• Preparing clear, well-documented reports and updates for the Principal Investigator (PI)
• Collaborating with interdisciplinary team members to refine experimental design and ensure methodological rigor
• Assisting with the preparation of academic publications, conference presentations, and research dissemination activities
• Managing data processing pipelines, including preprocessing and visualization of neuroimaging and behavioral data
• Supporting the implementation and testing of cloud-based tools and integrated development environments as needed
• Other responsibilities assigned by the Principal Investigator

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Closing Date

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

The Services required are set out as follows:

1. Assist in the preparation of teaching and learning resources.

2. Assist in the preparation of science experiment materials and

maintain the cleanliness and organisation of the science

laboratory.

3. Assist students in carrying out the science experiments under the

supervision of the Science teachers.

4. Provide administrative support to the teachers (e.g. preparation

of student’s achievement certificates and collation of students’

survey responses).

5. Manage the loan and return of teaching resources and prepare

documentation for the condemnation of teaching resources

where required.

6. Provide front-desk customer service, including handling walk-in

and telephone enquiries from parents as when required.

7. Assist with school printing duties as when required.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Pharmacy-and-Pharmaceutical-Sciences%29/32592-en_GB/?st=F60B62FB7157CB4DA8743736577FB0031852900E

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Dr. Boxiang Liu on the wetlab validations of AI-optimised mRNA sequences for stability and protein expression.

The main responsibilities of the position include:
- Gene synthesis and in vitro mRNA transcription for transfection into cells.
- Cell line construction and maintenance.
- Analysis of protein expression by flow cytometry.
- High throughput sequencing of gene libraries.
- Characterisation of mRNA vaccine and therapeutic effects in vivo.

Qualifications

Qualifications / Discipline:
- Bachelor’s or Master's degree in molecular biology, cell biology, immunology, or a related discipline; equivalent research experience will also be considered.  

Skills: 
- Proficiency in PCR, cloning, mammalian cell culture and transfection, fluorescence microscopy and immunostaining is required.
- Experience with fluorescence-activated cell sorting and flow cytometry data analysis, in vitro transcription, high throughput gene library construction and sequencing, and mouse model perturbation and analysis is advantageous.
- Excellent self-motivation, teamwork skills, and the ability to design and troubleshoot experiments are preferred.

Experience: 
- Prior laboratory experience in molecular biology, cellular biology or immunology projects with mammalian cell experiments.
- Experience with in vivo experiments, particularly with mouse models, is an advantage.
- Contribution to at least one paper in a relevant field. Having a published first author paper is an advantage.

About the Role

We are seeking a detail-oriented Metrology / Inspection Technician to support semiconductor R&D and advanced packaging development. This role focuses on measurement, defect inspection, and data analysis to support engineering decisions and process optimisation.

Key Responsibilities

• Perform wafer/panel measurements (e.g. thickness, CD, surface, defect inspection)
• Support DOE runs, engineering lots, and process characterisation
• Identify defect trends and abnormalities, and report findings to engineers
• Maintain measurement accuracy, SPC tracking, and data consistency
• Operate and support metrology tools, setup, and basic calibration
• Assist in tool troubleshooting and routine maintenance (PM)
• Maintain proper documentation including measurement logs and reports
• Adhere to cleanroom protocols and safety procedures

Requirements

• NITEC / Diploma in Engineering or related field
• 1–3 years of experience in inspection, QA, or measurement environment
• Exposure to microscope, AOI, or metrology tools is advantageous
• Basic understanding of data tracking / SPC preferred
• Strong attention to detail and analytical mindset
• Comfortable working in cleanroom environment

Why Join

• Exposure to advanced semiconductor R&D processes
• Structured career growth into engineering pathways
• Stable MNC environment with strong technical exposure
  
  

Lai Kah Wei

Registeration Number: R25158317

EA License Number: 18C9027

The National Institute of Education invites suitable applications for the position of Research Assistant on an 18-month contract at the Office of Teacher Education & Undergraduate Programmes.

Project Title: Orchestrating AI-enabled Mathematics Lessons: An Exploratory Study

Project Introduction:

The introduction of Artificial Intelligence (AI) into education has potentially ushered in an era of new possibilities for reimagining learning, teaching, and assessment practices. The current developments in machine learning, data analytics, natural language processing, and other adaptive technologies promise to provide students with personalised learning pathways and automated feedback, while supporting teachers to adopt a more discursive teaching stance (Pepin et al., 2025). For instance, ChatGPT and other AI-enabled technologies have been used to support teachers in planning mathematics lessons (Gurl et al., 2024), developing mathematics tasks (Schorcht et al., 2024), and designing learning environments for mathematical problem solving (Liu et al., 2025). These perceived affordances of AI have catalysed interests in developing more responsive and differentiated mathematics instruction through a data-driven approach.

However, it remains unclear how teachers can fully harness the affordances of these AI-enabled technologies, given their limitations in reliability (e.g., hallucinations) and adaptability for use with diverse student groups (Celik et al., 2022; Schorcht et al., 2024). Furthermore, as highlighted by Sinha (2025), what constitutes good AI use in education depends on teachers’ perspectives of learning—do they see learning from an instructivist, constructivist, or embodied perspective? These differing perspectives can influence how teachers think about mathematics task design (Schorcht et al., 2024). More importantly, how AI-generated tasks or AI educational tools are used in classrooms adds to the complexities and nuances of orchestrating learning experiences for students. It is not simply about the design of the task, but also how the task is used in the actual instruction (Smith & Stein, 1998).

Therefore, the main aim of this project is to investigate how two expert teachers think as they orchestrate AL-enabled learning experiences in mathematics classrooms, from planning to implementation.

Requirements:

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

• Minimum of 3 years of experience in research support, research communication or knowledge translation.

• Familiar with Qualitative and Quantitative Research

• Excellent writing skills

• Ability to synthesise diverse literature

• Good communication and presentation skills

• Project management skills

• Proficient in Microsoft Word, Microsoft Excel, SPSS, and NVivo

• Ability to work independently and collaboratively

• Organised, reliable, patient, and with strong initiative
  

Responsibilities:

• Conduct data collection and analysis to support research objectives

• Coordinate and manage project timelines and deliverables

• Report writing and contributing to academic publications and presentations

• Collaborate with colleagues to support cross-functional research initiatives

• Other duties as assigned by the Principal Investigator
  

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Closing Date

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

Work Timing
• Mondays to Thursdays: 7:30am to 4:30pm, inclusive of 30min lunch break

• Fridays: 7:30am to 4:00pm, inclusive of 30min lunch break

Roles & Responsibilities

a. Management of Resources

Conduct regular inventory management in the Science Laboratories, including stock-taking, replenishment, repairs, and replacement of equipment.

Assist the Head of Department (Science) in liaising with vendors on procurement matters related to laboratory inventory.

Ensure all resources in the Science Laboratories are well-organised and clearly labelled.

Support teachers in facilitating student discussions during laboratory sessions.

Maintain cleanliness and tidiness of the Science Laboratories.

b. Preparation of Resources

Coordinate and manage loan requests from teachers for laboratory resources.

Prepare and set up laboratory materials in accordance with the scheme of work and teachers’ specifications.

Handle printing and photocopying tasks in the Printing Room.

Prepare teaching aids, including cutting and laminating materials, for use in the Science Laboratories.

Administrative Duties

Provide support for ad-hoc administrative tasks and assist in the preparation of resources as required by the school and/or department.

We are seeking Research Assistant to join a university-level research centre collaborating with industry. Successful candidates will be involved in a project that is related to object detection. The key responsibilities include the following:

• Participate in lab work and support on data-efficient object detection with key techniques in few-shot learning, transfer learning, image synthesis, etc.

• Assist in preparing technical documentation, reports, and research reports and/or publications as required by the funding body or for dissemination to the wider academic community.

• To undertake any other duties relevant to the programme of research.

Job Requirements:

• Bachelor’s degree (or near completion) in Computer Science, Electrical/Computer Engineering, or a related field.

• Basic understanding of machine learning and computer vision principles.

• Familiarity with Python and at least one deep learning framework (e.g., PyTorch, TensorFlow, or Keras).

• Interest in research and willingness to learn and explore new concepts.

• Good communication skills and ability to work both independently and as part of a team.

• Strong motivation, initiative, and a passion for solving technical challenges.

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

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-AssociateAssistant-%28Infectious-Disease-Modelling-&-AI-for-Public-Health%29/32509-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

About the Role
The Centre for Epidemic Response & Modelling (CERM) at NUS Saw Swee Hock School of Public Health is recruiting two Research Associates/Assistants to support a diverse portfolio of research projects at the intersection of infectious disease modelling, Bayesian inference, AI, and public health. Projects span AI-driven epidemic forecasting, transmission modelling in the ASEAN region, social network dynamics and use for large language models for public good. Successful candidates will be embedded in a multidisciplinary team working with epidemiologists, clinicians, biostatisticians, data scientists, and public health agencies.

We welcome candidates with complementary skill profiles. One position is oriented towards computational/statistical modelling; the other towards data engineering, visualisation, and software development. Both positions involve hands-on research work and will suit candidates looking to build a strong research track record before or alongside a PhD. The postholder will work with Asst. Prof. Swapnil Mishra (Deputy Director, CERM and AI for Public Health Programme) and engage an active network of collaborators spanning CERM, NUS, Imperial College London, Ashoka University, the Communicable Diseases Agency Singapore (CDA), the National Environment Agency Singapore (NEA), the Machine Learning & Global Health Network (MLGH), and wider regional and global partners.

Key Responsibilities
• Implement and test statistical and computational models for infectious disease dynamics (compartmental models, Bayesian inference, phylogenetic analysis, or machine learning pipelines depending on profile).
• Process, clean, and analyse large-scale epidemiological, genomic, and/or mobility datasets.
• Develop data visualisation tools and contribute to interactive surveillance dashboards.
• Support the preparation of manuscripts, reports, conference presentations, and workshops.
• Collaborate with internal team members and external partners across institutions and countries.
• Contribute to code documentation and reproducible research workflows.

Additional Opportunities
Exceptional candidates may have the opportunity to pursue a PhD at NUS. The group actively supports career development through conference travel, training workshops, and mentorship from senior researchers and international collaborators.

Qualifications

Research Associate (higher band): Master's degree in a relevant discipline (statistics, epidemiology, computer science, bioinformatics, computational biology, biostatistics, or related) with two years of relevant work experience.

Research Assistant (entry band): Bachelor's degree with strong analytical training; candidates with no experience are welcome to apply.

• Solid quantitative background; familiarity with Bayesian inference or machine learning is an advantage.
• Proficiency in Python and/or R; experience with probabilistic programming (Stan, PyMC, NumPyro) or deep learning frameworks (PyTorch, JAX) is desirable but not required.
• Ability to work with real-world datasets and to communicate findings clearly in writing and presentations.
• Demonstrated ability to work both independently and as part of a team.
• A publication or pre-print record (for Research Associate level) is an advantage but not essential.

Interested applicants should submit the following documents:
• A cover letter explaining your interest in the position, and relevant experience,
• A comprehensive curriculum vitae.
• Contact information for two professional references (letters may be requested).

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) is a newly established interdisciplinary joint school under College of Engineering and College of Science at NTU Singapore. The Zhong group works at the interface of organometallic and organic chemistry to develop new generations of transition metal catalysts and reagents for novel organic transformations.

The Zhong group is pursuing development of new generations of transition metal catalysts for asymmetric catalysis and C-H functionalization. The candidate should have a BS/MS degree in chemistry with prior experience in synthetic organic chemistry and/or transition metal catalysis in advanced institutions. The candidate should possess analytical skills including NMR, GC/HPLC, mass spec, etc, as well as experience in handling air-sensitive compounds with Schlenk techniques or glovebox.
 

Key Responsibilities: 

• Assist in routine lab research and data analysis in organic chemistry and organometallic chemistry.

• Assist in instrument maintenance, and acquisition of chemicals, lab supplies and consumables.

• Present research progress in group meetings and private meetings.

Job Requirements: 

• BS in chemistry

• Prior experience in synthetic organic chemistry and/or transition metal catalysis in advanced institutions.

• Analytical skills including NMR, GC/HPLC, mass spec, etc.

• Experience in handling air-sensitive compounds with Schlenk techniques or glovebox.

We seek 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.

We regret that only shortlisted candidates will be notified.

Job Description:

Oversee and manage the efficient running and profitability of the outlet in line with the branch standards, while meeting the employee, company’s and customers’ expectations.

Assist the manager to supervise the effective control of food & beverages, inventory and labour cost to ensure that the operational expenditures stay within the budget.

Plan, coordinate, review and control production activities in order to ensure that workplace safety.

Possesses positive attitude, proactiveness, common sense and good teamwork.

Stir fry dishes as and when required.

Job Requirements:

At least 5 Year(s) of working experience in the related field and industry.

Long hours of standing during the working shift.

Polite manner, energetic, cheerful, and hardworking.

Self-discipline and self-motivated and enjoys interacting with people and serving customers.

Job Description:

Oversee and manage the efficient running and profitability of the outlet in line with the branch standards, while meeting the employee, company’s and customers’ expectations.

Assist the manager to supervise the effective control of food & beverages, inventory and labour cost to ensure that the operational expenditures stay within the budget.

Plan, coordinate, review and control production activities in order to ensure that workplace safety.

Possesses positive attitude, proactiveness, common sense and good teamwork.

Stir fry dishes as and when required.

Job Requirements:

At least 5 Year(s) of working experience in the related field and industry.

Long hours of standing during the working shift.

Polite manner, energetic, cheerful, and hardworking.

Self-discipline and self-motivated and enjoys interacting with people and serving customers.

Responsibilities:

Supervise employees to help ensure efficiency and productivity.

Able to handle the Halal chicken meat. Process raw ingredients, chopping and slicing of chicken, etc.

Able to work with minimum supervision.

Able to work in cold room temperature.

Ensure work safety, hygiene are followed. Products manufactured comply with food safety standards.

Requirements:

Have relevant experience in food processing is required.

Candidates are required to handle heavy products.

Physically fit.

The ability to foster teamwork

Job descrpition:

Supervise employees to help ensure efficiency and productivity.

Able to handle the Halal duck meat. Process raw ingredients, chopping and slicing of duck, etc.

Able to work with minimum supervision.

Able to work in cold room temperature.

Ensure work safety, hygiene are followed. Products manufactured comply with food safety standards.

Requirements:

Have relevant experience in food processing is required.

Candidates are required to handle heavy products.

Physically fit.

The ability to foster teamwork

Responsibilities:

Supervise employees to help ensure efficiency and productivity.

Able to handle seafood, such as fish.. Process raw ingredients, chopping and slicing of fish, etc.

Able to work in cold room temperature.

Ensure work safety, hygiene are followed. Products manufactured comply with food safety standards.

Handle sales at the market, supervise the sales staffs to do daliy sales.

Able to work night shift.

Requirements:

Have relevant experience in food processing is required.

Candidates are required to handle heavy products.

Physically fit.

The ability to foster teamwork