Total 1,350 job vacancies in Singapore

1. Period: 1 year contract (Renewable/Convertible)

2. Location: Penjuru Rd

3. Working Hours: Mon – Fri: 0730-1715

4. Salary: $2000 - $2200

Job Descriptions: 

• Unloading deliveries from suppliers or transport vehicles

• Inspecting products for damage or discrepancies and checking against delivery notes

• Storing goods in appropriate locations within the warehouse to maximize space

• Labeling and tagging inventory with relevant information

• Counting stock regularly to ensure accuracy and to avoid stockouts or overstocking

• Picking items based on customer or internal orders

• Packing goods securely for shipping, ensuring they are properly prepared to avoid damage during transit

• Labeling packages with the correct information and delivery details

• Ensuring accuracy in the picking and packing process to avoid errors in shipments

• Maintaining a clean and organized workspace to avoid accidents or injuries

• Performing routine equipment checks to ensure everything is functioning properly

• Adhering to health and safety guidelines to ensure a safe working environment

• Communicating effectively with team members and supervisors to coordinate tasks and resolve any issues

• Reporting any issues such as damaged goods, discrepancies in inventory, or safety concerns to management

Job Requirements: 

• Minimum Nitec/Higher Nitec with related education

• At least 2-3 years’ experience of working experience in Store/Warehouse

• SAP & Warehouse knowledge is added advantage

• Possesses a valid forklift license is an added advantage

• Willing to do OT if required

If you are interested, please submit your application here.

Thank you for your application and we regret that only shortlisted candidates will be notified.

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EA License No: 90C3494 | EA Personnel No: R25157619 | EA Personnel Name: Kauthamen Appu
You may also reach me at 9172 3964 for further information.

Responsibilities

1. Industry Research & Analysis

   • Conduct comprehensive research on the global technology industry, covering sub-sectors including AI, semiconductors, SaaS, cloud computing, and emerging tech trends
   • Identify market opportunities, risks, and competitive dynamics through detailed analysis

2. Company Performance Evaluation

   • Track and evaluate the performance of listed technology companies
   • Analyze business models, financial fundamentals, and growth prospects
   • Produce high-quality research reports, market notes, and investment insights

3. Market Monitoring & Expert Engagement

   • Leverage industry resources and engage with experts to gather insights
   • Monitor macroeconomic, regulatory, and policy developments impacting the technology sector across Greater China, Singapore, and global markets

4. Decision Support

   • Support investment and strategic decision-making through data-driven analysis, industry forecasts, and actionable recommendations
   • Present findings to internal teams and stakeholders

5. Collaboration & Communication

   • Collaborate with cross-functional teams to deliver timely industry updates
   • Participate in research meetings and present analysis in clear, concise formats

6. Database & Framework Management

   • Maintain and update industry databases, financial models, and research frameworks
   • Ensure accuracy and relevance of analytical tools and data sources

Requirements

• Bachelor's degree or above in Finance, Economics, Computer Science, Information Technology, or related field with Master's degree preferred
• 3–5 years of experience in a Tier-1 Securities Firm (Equity Research) or Leading Investment House (PE/VC/Hedge Fund)
• Proficiency in Mandarin is a must as he or she will be required to communicate & prepare reports to Chinese Stakeholders
• Strong analytical and critical thinking capabilities
• Ability to interpret complex industry data, financial statements, and market trends
• Proven experience in technology industry research, drafting research reports, and supporting investment/strategic decisions
• Experience covering specific tech sub-sectors (e.g., AI, semiconductor, cloud computing) is a strong plus
• Self-motivated, detail-oriented, and able to work independently
• Able to perform under pressure and meet tight deadlines
• Excellent communication and presentation skills for both technical and non-technical audiences

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-Engineer-%28AIDF%29/32374-en_GB/

We regret that only shortlisted candidates will be notified.

Background

The Asian Institute of Digital Finance (AIDF) is a university-level institute in NUS, jointly founded by the Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and NUS. AIDF aspires to be a thought leader, a Fintech knowledge hub, and an experimental site for developing digital financial technologies as well as for nurturing current and future Fintech researchers and practitioners in Asia.

At AIDF, we are actively building next-generation AI systems for financial intelligence, including an LLM-driven application platform that integrates alternative data, structured financial data, and advanced retrieval systems. We are now transitioning from prototype to production and are looking for candidates who can bridge data engineering and AI research, particularly in LLM-based information retrieval systems.

We are seeking a Research Assistant / Research Engineer who combines strong data engineering capabilities with an interest in applied AI research, especially in LLM-powered retrieval systems (e.g., RAG, Graph RAG, Knowledge Graph integration).

This role is ideal for candidates who want to:

• Build scalable data infrastructure, and
• Explore cutting-edge retrieval and knowledge representation techniques in real-world applications

Responsibilities

1. Data Engineering & Infrastructure

• Design, develop, and maintain scalable data pipelines and ETL workflows
• Build backend systems to support data ingestion, processing, and serving
• Manage and optimize relational and non-relational databases (e.g., MySQL, MongoDB)
• Ensure data quality, consistency, and reliability across systems

2. LLM & Retrieval System Development

• Develop and optimize retrieval-augmented generation (RAG) pipelines
• Explore advanced retrieval paradigms such as:Graph RAGKnowledge Graph-enhanced retrievalHybrid search over structured + unstructured data
• Work with alternative data sources (e.g., text, news, reports) to improve model performance

3. Applied Research & Prototyping

• Track and experiment with latest research in LLMs, IR, and knowledge systems
• Prototype and evaluate new methods for:Information retrievalKnowledge representationFinancial intelligence extraction
• Translate research ideas into production-ready system components

4. System Integration & Collaboration

• Collaborate with AI engineers, data scientists, and frontend developers
• Integrate backend systems with LLM services and user-facing applications
• Contribute to system architecture design for AI-native products

5. Documentation & Best Practices

• Maintain clear documentation of:Data pipelinesSystem architectureDatabase schemas
• Implement best practices in data governance, security, and reproducibility

Minimum Requirements

• Background in Computer Science, Engineering, or related fields
• Proficiency in at least one programming language (e.g., Python, Java, Go)
• Solid understanding of data structures, algorithms, and system design
• Experience with backend development frameworks (e.g., FastAPI, Django, Spring Boot)
• Familiarity with RESTful API design and implementation
• Experience with databases: Relational: MySQL / PostgreSQL
• Non-relational: MongoDB / Redis / Elasticsearch
• Familiarity with Git and collaborative development workflows
• Strong problem-solving skills and ability to debug complex systems

Preferred / Bonus Qualifications

• Experience in data engineering and ETL systems in production environments
• Familiarity with LLM applications, especially: RAG pipelines
• Vector databases (e.g., FAISS, Milvus, Pinecone)
• Exposure to Knowledge Graph construction or usage
• Experience with search / retrieval systems (e.g., BM25, hybrid search)
• Familiarity with cloud platforms (AWS / Azure / GCP), especially data services
• Experience with tools such as Apache Airflow / NiFi / Spark
• Interest in applied AI research and ability to read/implement recent papers
• Strong communication and documentation skills

What We Offer

• Opportunity to work on cutting-edge AI systems in finance
• Exposure to real-world large-scale financial datasets
• A unique role combining research + engineering + productization
• Collaboration with researchers and engineers at NUS AIDF-CRI
• Potential to contribute to publications and production AI systems

Singapore Institute of Manufacturing Technology (SIMTech)

The A*STAR Singapore Institute of Manufacturing Technology (A*STAR SIMTech) develops high-value manufacturing technology and human capital to enhance the competitiveness of Singapore's manufacturing industry. It collaborates with various multinational and local companies in the precision engineering, medtech, aerospace, automotive, marine, oil & gas, electronics, semiconductor, logistics, and other sectors.

We are seeking a technically skilled Mechanical Engineer to join our Remanufacturing Process Technology Group (RPT), specializing in advanced e-beam and arc joining processes. The successful candidate will support and advance the development of robotic welding, Directed Energy Deposition (DED), and Wire Arc Additive Manufacturing (WAAM) processes, with a strong focus on process development, system improvement, and the processing of novel materials.

This role will contribute to advancing the group's capabilities in robotic additive manufacturing and joining technologies, supporting both research and industrial collaboration projects.

JOB DESCRIPTION 

The successful candidate will contribute to the development, optimization, and implementation of advanced robotic welding and additive manufacturing processes.

Responsibilities:

• Design and develop mechanical components, tooling, fixtures, and experimental setups to support welding, joining, and additive manufacturing processes.
• Create 3D CAD models and detailed engineering drawings for mechanical assemblies, test rigs, and manufacturing equipment.
• Support the design, fabrication, and assembly of prototype systems and hardware modules for research and development projects.
• Evaluate and select appropriate materials, manufacturing methods, and fabrication processes for designed components.
• Conduct mechanical analysis and validation of designs, including structural, thermal, or vibration considerations where required.
• Support prototype build, testing, and troubleshooting of mechanical systems and experimental platforms.
• Collaborate with internal teams, suppliers, and manufacturing partners for component fabrication, procurement, and system integration.
• Contribute to the development and improvement of mechanical hardware and equipment used in robotic welding, joining, and additive manufacturing systems.
• Support the group's process development activities, including experimental trials, setup of test configurations, data collection, and evaluation of process performance.
• Participate in concept development, feasibility studies, and technology development projects related to advanced manufacturing processes.
• Prepare and maintain technical documentation, including design reports, engineering drawings, test procedures, and project documentation.
• Support equipment setup, maintenance, and continuous improvement of laboratory and manufacturing systems.
• Ensure compliance with safety procedures, risk assessments, and laboratory best practices.
• Support other technical activities within the team, group, or organisation as required.

JOB REQUIREMENT

Minimum Requirements (Must-have)

• Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Materials Engineering, or a related discipline.
• Strong foundation in mechanical design and engineering fundamentals, including structural mechanics, material behavior, and manufacturing processes.
• Experience with mechanical CAD and 3D modelling tools (e.g., SolidWorks, Inventor, Creo, NX or equivalent) for design and engineering documentation.
• Experience in designing mechanical components, tooling, fixtures, or assemblies for manufacturing or experimental systems.
• Good understanding of manufacturing techniques and fabrication processes, such as CNC machining, metal fabrication, additive manufacturing, or prototyping methods.
• Experience preparing engineering drawings and technical documentation, including basic understanding of Geometric Dimensioning and Tolerancing (GD&T).
• Hands-on experience with prototyping, testing, and mechanical system troubleshooting.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work both independently and collaboratively in a multidisciplinary engineering environment.
• Strong written and verbal communication skills.
• Ability to work in a dynamic research and development environment and adapt to evolving project requirements.

Preferred Skills and Experience (Good-to-have)

• Master's degree in Mechanical Engineering, Manufacturing Engineering, or related discipline.
• Experience working in industrial R&D or collaborative research environments.
• Hands-on experience with machining, fabrication, or laboratory prototyping equipment.
• Experience with robot programming for automated welding or manufacturing applications.
• Experience with Wire Arc Additive Manufacturing (WAAM) or Directed Energy Deposition (DED) processes.
• Experience in mechanical system design for automated or manufacturing equipment.
• Experience in design and fabrication of tooling, jigs, mounts, or experimental test rigs.
• Knowledge of mechanical analysis techniques, including basic structural, thermal, or vibration analysis.
• Experience with simulation or engineering analysis tools (e.g., ANSYS, COMSOL, or similar).
• Understanding of Design for Manufacturing and Assembly (DFM/DFA) principles.
• Experience collaborating with suppliers and manufacturing partners on component fabrication and prototyping.

Singapore Institute of Manufacturing Technology (SIMTech)

The A*STAR Singapore Institute of Manufacturing Technology (A*STAR SIMTech) develops high-value manufacturing technology and human capital to enhance the competitiveness of Singapore's manufacturing industry. It collaborates with various multinational and local companies in the precision engineering, medtech, aerospace, automotive, marine, oil & gas, electronics, semiconductor, logistics, and other sectors.

We are seeking a technically skilled Mechanical Engineer to join our Remanufacturing Process Technology Group (RPT), specializing in advanced e-beam and arc joining processes. The successful candidate will support and advance the development of robotic welding, Directed Energy Deposition (DED), and Wire Arc Additive Manufacturing (WAAM) processes, with a strong focus on process development, system improvement, and the processing of novel materials.

This role will contribute to advancing the group's capabilities in robotic additive manufacturing and joining technologies, supporting both research and industrial collaboration projects.

JOB DESCRIPTION 

The successful candidate will contribute to the development, optimization, and implementation of advanced robotic welding and additive manufacturing processes.

Responsibilities:

• Design and develop mechanical components, tooling, fixtures, and experimental setups to support welding, joining, and additive manufacturing processes.
• Create 3D CAD models and detailed engineering drawings for mechanical assemblies, test rigs, and manufacturing equipment.
• Support the design, fabrication, and assembly of prototype systems and hardware modules for research and development projects.
• Evaluate and select appropriate materials, manufacturing methods, and fabrication processes for designed components.
• Conduct mechanical analysis and validation of designs, including structural, thermal, or vibration considerations where required.
• Support prototype build, testing, and troubleshooting of mechanical systems and experimental platforms.
• Collaborate with internal teams, suppliers, and manufacturing partners for component fabrication, procurement, and system integration.
• Contribute to the development and improvement of mechanical hardware and equipment used in robotic welding, joining, and additive manufacturing systems.
• Support the group's process development activities, including experimental trials, setup of test configurations, data collection, and evaluation of process performance.
• Participate in concept development, feasibility studies, and technology development projects related to advanced manufacturing processes.
• Prepare and maintain technical documentation, including design reports, engineering drawings, test procedures, and project documentation.
• Support equipment setup, maintenance, and continuous improvement of laboratory and manufacturing systems.
• Ensure compliance with safety procedures, risk assessments, and laboratory best practices.
• Support other technical activities within the team, group, or organisation as required.

JOB REQUIREMENT

Minimum Requirements (Must-have)

• Bachelor's degree in Mechanical Engineering, Manufacturing Engineering, Materials Engineering, or a related discipline.
• Strong foundation in mechanical design and engineering fundamentals, including structural mechanics, material behavior, and manufacturing processes.
• Experience with mechanical CAD and 3D modelling tools (e.g., SolidWorks, Inventor, Creo, NX or equivalent) for design and engineering documentation.
• Experience in designing mechanical components, tooling, fixtures, or assemblies for manufacturing or experimental systems.
• Good understanding of manufacturing techniques and fabrication processes, such as CNC machining, metal fabrication, additive manufacturing, or prototyping methods.
• Experience preparing engineering drawings and technical documentation, including basic understanding of Geometric Dimensioning and Tolerancing (GD&T).
• Hands-on experience with prototyping, testing, and mechanical system troubleshooting.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work both independently and collaboratively in a multidisciplinary engineering environment.
• Strong written and verbal communication skills.
• Ability to work in a dynamic research and development environment and adapt to evolving project requirements.

Preferred Skills and Experience (Good-to-have)

• Master's degree in Mechanical Engineering, Manufacturing Engineering, or related discipline.
• Experience working in industrial R&D or collaborative research environments.
• Hands-on experience with machining, fabrication, or laboratory prototyping equipment.
• Experience with robot programming for automated welding or manufacturing applications.
• Experience with Wire Arc Additive Manufacturing (WAAM) or Directed Energy Deposition (DED) processes.
• Experience in mechanical system design for automated or manufacturing equipment.
• Experience in design and fabrication of tooling, jigs, mounts, or experimental test rigs.
• Knowledge of mechanical analysis techniques, including basic structural, thermal, or vibration analysis.
• Experience with simulation or engineering analysis tools (e.g., ANSYS, COMSOL, or similar).
• Understanding of Design for Manufacturing and Assembly (DFM/DFA) principles.
• Experience collaborating with suppliers and manufacturing partners on component fabrication and prototyping.

• Assist the clinical team with updating and maintaining clinical systems that track study & site compliance and performance within project timelines.
• Assist the clinical team in the preparation, handling, distribution, filing, and archiving of clinical documentation and reports.
• Assist with periodic review of study files for accuracy and completeness and to support with project related filing.
• Assist with the tracking and management of Case Report Forms (CRFs), queries, and clinical dataflow.
• Assist in handling the project-related administrative matters, such as preparation for regulatory submissions, safety report handling, and other logistic issues.
• Assist with Project finance related activities including project expenses invoice preparation and tracking as well as site payment invoice review, preparation and tracking.
• Act as a central contact for the clinical team for designated project communications, correspondence, and associated documentation including communication with sponsor and vendors as delegated.
• Support any other project related tasks as assigned.

Requirements

• Min Degree in any science courses
• Some working experience / internship in clinical research organization or as clinical research coordinator in hospital

Up to $3.5K

Interested candidates, please forward your resume to kevynhuang@recruitexpress.com.sg

Consultant: Huang Jingsheng Kevyn (R1333338)
Recruit Express Pte Ltd (99C4599)

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-%28BIRTH-Study-Biochemistry%29/32367-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant for “The BIRTH study – the Biomarker guided Intervention for Reducing Threat of High-risk preterm birth study” in the Department of Biochemistry, Yong Loo Lin School of Medicine. The Department undertakes excellence in research and scholarship through intimate support of our faculty and staff in the NUS Medicine Translational Research Programmes (TRPs). Our scientific strengths and leadership are evidenced by Biochemistry being the academic home of 4 TRP Directors, and by stellar research scholarship in cancer, cardiovascular disease, digital medicine, healthy longevity, human potential, infectious disease, immunology, precision medicine and synthetic biology. Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension.

Purpose of the post
We are seeking a skilled Research Assistant to support the development and validation of an advanced preterm birth (PTB) screening tool that integrates AI-based analysis of vaginal microbiome, miRNAs, maternal medical history, and demographic factors. The successful candidate will focus on sample preparation and analysis to identify microbial composition and activity associated with PTB using Desorption Electrospray Ionization Mass Spectrometry (DESI-MS) and 16S rRNA sequencing. This is an excellent opportunity to work with cutting-edge DESI-MS technology, develop expertise in high-throughput Illumina sequencing, and contribute to impactful translational research. The successful candidate also has the prospect to receive overseas training in these techniques.

Main duties and responsibilities
This role is ideal for an individual passionate about maternal-fetal health and translational research, seeking to understand molecular and microbial factors driving preterm birth. The Research Assistant will:

(1)    Prepare and process biological samples for microbiome and biomarker analysis;
(2)    Conduct DESI-MS experiments to profile microbial composition and activity linked to PTB;
(3)    Perform 16S rRNA sequencing, including sample preparation, library construction, and quality control;
(4)    Maintain accurate laboratory records and ensure compliance with safety and quality standards;
(5)    Troubleshoot and optimize experimental protocols to improve throughput and data quality;
(6)    Collaborate with bioinformaticians, clinicians, and interdisciplinary researchers to achieve project goals;
(7)    Assist in preparation of reports, presentations, and scientific manuscripts;
(8)    Manage day-to-day project activities and support laboratory operations;
(9)    Perform other duties as assigned by the PI.

Qualifications

The applicant should have:

1. A Bachelor’s degree in Biology, Biochemistry, Molecular Biology, Microbiology, or related fields;
2. Hands-on experience with molecular biology techniques (DNA/RNA extraction, PCR, sequencing workflows);
3. Familiarity with mass spectrometry (DESI-MS preferred) or other analytical chemistry techniques; an opportunity to train overseas in the technique is available;
4. Knowledge of 16S rRNA sequencing and microbiome analysis is a plus;
5. Strong verbal and written communication skills, with ability to document research clearly;
6. Excellent teamwork, problem-solving, and organizational skills, with the ability to work independently and collaboratively.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms. Anna Gan (anna.gan@nus.edu.sg).

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations (if any) and full contacts of three (3) referees to the NUS Career portal.

We regret that only shortlisted candidates will be notified.

The Services required are set out as follows:

• To support inquiry-based learning for Science.

• To support the smooth operations of two science laboratories

with a focus on enabling hands-on learning for science learning.

• To assist teachers in the preparation of materials and apparatus

for science practical lessons and assessments.

• To manage, operate, care and maintain the science laboratories

and science learning environment (eg. school garden and

science corners)

• To source and procure equipment and materials and maintain an

inventory list of consumables and keep track of inventory.

• To take responsibility for laboratory safety and may be required

to serve as a certified first aider.

• To assist in classes, workshops and other events in logistic

support and supervision of safe use of laboratory tools.

• Provide administrative support as deployed by the school.

Responsibilities

• Develop, validate, and deploy Machine Learning, Deep Learning, and Generative AI models for production environments
• Partner with business stakeholders to gather requirements and define project objectives
• Design and implement data pipelines for data preprocessing, model training, evaluation, and deployment
• Perform data validation and support data quality improvement initiatives
• Monitor, maintain, and improve analytical models and data systems
• Prepare reports and presentations to communicate findings and recommendations
• Provide technical documentation and support for deployed solutions
• Perform other tasks as assigned by the supervisor

Requirements

• Bachelors degree in Computer Science, Data Science, Engineering, or related discipline
• Internship or academic project experience in data analytics or machine learning is an advantage
• Technical Skills:
• Proficiency in Python and common data science libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, Keras)
• Fundamental understanding of Machine Learning and Deep Learning algorithms
• Working knowledge of SQL and relational databases (e.g., PostgreSQL, Oracle)
• Exposure to Computer Vision or Generative AI applications will be an advantage
• Experience with data visualization tools (e.g., Tableau or similar platforms) is a plus
• Basic understanding of model deployment and production environments
• Familiarity with manufacturing or industrial data will be advantageous

To apply, please visit www.gmprecruit.com and search for Job Reference: X967567Y

To learn more about this opportunity, please contact Yingying at yingying.lai@gmprecruit.com

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

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-Fellow-%28Statistics-and-Data-Science%29/32353-en_GB/?st=6AAA9CF1EC5AC75CE5B99AF9E75B8B862174B57C

We regret that only shortlisted candidates will be notified.

Job Description

One Research Fellow position is currently available in the Department of Statistics and Data Science, National University of Singapore.  The successful candidate will work with Prof Zhou Wang on random matrix theory under a project on "Toward robustness against distribution shift in the open environment".

The main responsibilities of the position include to develop random matrix theory, especially for sample covariance matrices. Candidate with strong background in probability and machine learning would be a plus.

Qualifications / Discipline:  
•    The candidate should have a PhD degree in Statistics or related area.

Skills:  
•    The applicant is expected to develop random matrix theory, especially for sample covariance matrices.

Experience:   
•    The candidate should have research experience of 2 - 3 years.

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/Senior-Research-Fellow-%28Peace-and-Security%29/32369-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Centre for International Law (CIL) was established in 2009 as a university-level research institute at National University of Singapore (NUS). CIL engages in both legal and multi-disciplinary research on a wide variety of international law issues. Its mission is to enable Singapore and the Asia-Pacific region to play a more significant role in the promotion and development of international law. CIL's vision is to become a regional intellectual hub and thought leader for research and teaching in international law. Further information about CIL is available at https://cil.nus.edu.sg/

CIL invites applications for the position of Senior Research Fellow. This two-year contractual appointment supports the expansion of the Centre's Peace and Security Programme and aims to enhance the research capabilities of emerging scholars by providing a dynamic and supportive academic environment.

Responsibilities: 

The successful candidate will be expected to:

• Conduct high-quality research on issues related to peace and security, with particular emphasis on states’ conduct in cyberspace, autonomous weapons systems, and international humanitarian law (IHL).
• Produce and publish research in leading peer-reviewed journals.
• Develop and deliver courses within the field of peace and security, including those addressing cyber operations, emerging military technologies, and the application of IHL.
• Assist in the organisation of seminars, workshops, conferences, and related academic events.

CIL provides its research staff with extensive professional development opportunities through NUS events, seminars, and training programmes. Staff members also have opportunities to participate in regional and international academic engagements, including conferences, workshops, and symposiums.

Qualifications

• A PhD in Public International Law with a minimum of three (3) years of postdoctoral research experience;
• A demonstrated record of research excellence, evidenced by high-qualitiy scholarly publications;
• Proven capacity to conduct independent research in the field of peace and security within international law; including expertise in states’ conduct in cyberspace, autonomous weapons systems, and IHL.
• A strong record of journal publications or book chapters in international law is highly desirable; 
• Excellent command of English, proficiency in an additional language is considered an asset.

Application Procedures

Interested applicants are invited to submit their applications through the NUS Career Portal, including the following documents:

• A cover letter outlining relevant experience, motivation for joining CIL, and research interests;
• A comprehensive curriculum vitae (maximum three pages) including educational background and work history;
• University transcripts;
• One (1) sample of written work;
• Names and contact information of at least three (3) referees, including the PhD supervisor.

Please note only shortlisted candidates will be contacted.  For enquiries, please email Ms Huong Tam at huong.tam@nus.edu.sg.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Centre-for-Sleep-&-Cognition%29/24449-en_GB/?st=A01714B47ABD0D36868C4B10D39DF5AA122471CC

We regret that only shortlisted candidates will be notified.

Job Description

The Centre for Sleep and Cognition at the Yong Loo Lin School of Medicine, National University of Singapore, invites applications for Research Fellow for Sleep and Cognitive Lab, Centre for Sleep and Cognition, Yong Loo Lin School of Medicine. The Appointments will be made on a 1-year contract basis in the first instance, with the possibility of extension.

Purpose of the post

Research Fellow (RF) will be responsible to, and work closely with, the Principal Investigator to transform research plans into tangible outputs.

Main duties and responsibilities

The Research Fellow will be expected to:

1. Assist in the conception of research plans and/or new initiatives and transforming these into working experiments or projects.
2. Assist the Principal Investigator (PI) in managing scientific and administrative staff in the lab, including the training and management of research assistants, graduate and medical students.
3. Perform advanced statistical analysis, e.g. causal discovery modelling, on the sleep, health and wellbeing data as collected by the Sleep & Cognition Laboratory.
4. Build up the analytics capacity of the lab by creating standard operating procedures and processing pipelines for data analysis.
5. Prepare manuscripts and presentations of research results at conferences and meetings.

Qualifications

The applicant should have:

1. A PhD in statistics, neuroscience, cognitive science, computer science or psychology. Prior experience conducting sleep or health research is a plus.
2. The ability to work both independently as well as in a team as needed.
3. Good people management and communication skills.
4. Ability to program experiments, use computer tools for data organization or statistical analysis (e.g. Matlab / R / Python / SPSS / SAS).

Remuneration will be commensurate with the candidate’s qualifications and experience.

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-Fellow-%28Integrated-electro-optic-modulator%29/32362-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a capable and motivated Research Fellow to join our research on integrated photonics. This project aims to develop integrated electro-optic modulators using emerging materials such as lithium niobate, lithium tantalate, and barium titanate.

This position will be hosted by Assistant Professor Di ZHU’s group in the Department of Materials Science and Engineering at the National University of Singapore (NUS). Successful candidates will be involved in, but not limited to, the following activities:

•    Design, fabricate, and measure integrated electro-optic modulators
•    Assist in mentoring graduate students
•    Regularly disseminate research results through reports, presentations, and manuscripts

Qualifications

•    Ph.D. degree (completed or soon to be completed) in Physics, Applied Physics, Material Science and Engineering, Electrical Engineering, or other relevant areas
•    Knowledge in optics and microwave engineering
•    Experience in nano/micro-fabrication is highly desired
•    Programming skills (e.g., Python, Matlab)
•    Ability to work as a team and communicate effectively

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-Fellow-%28Integrated-electro-optic-modulator%29/32365-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a capable and motivated Research Fellow to join our research on integrated photonics. This project aims to develop integrated electro-optic modulators using emerging materials such as lithium niobate, lithium tantalate, and barium titanate.

This position will be hosted by Assistant Professor Di ZHU’s group in the Department of Materials Science and Engineering at the National University of Singapore (NUS). Successful candidates will be involved in, but not limited to, the following activities:

•    Design, fabricate, and measure integrated electro-optic modulators
•    Assist in mentoring graduate students
•    Regularly disseminate research results through reports, presentations, and manuscripts

Qualifications

•    Ph.D. degree (completed or soon to be completed) in Physics, Applied Physics, Material Science and Engineering, Electrical Engineering, or other relevant areas
•    Knowledge in optics and microwave engineering
•    Experience in nano/micro-fabrication is highly desired
•    Programming skills (e.g., Python, Matlab)
•    Ability to work as a team and communicate effectively

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-Engineer-%28Nano-electronic-Process-and-Devices%29/32359-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

A Research Engineer position is open under the supervision of Prof. Gong Xiao, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).   The Research Engineer will work closely with the Principal Investigator (PI) on one or more research projects.  The project aims to explore advanced semiconductor electronic devices for future advanced integrated circuits.

Qualifications

1.    Possess a Bachelor degree in Electrical Engineering with strong knowledge in semiconductor device technology and process. 
2.    Strong knowledge in semiconductor device physics. 
3.    At least 2 years in simulation, fabrication, and testing of semiconductor devices. 
4.    Proficient in simulation software, such as Sentaurus, Spice, matlab, etc.
5.    Possess relevant expertise proven through coursework and projects during his/her studies.
6.    Excellent academic track record from well-recognized universities. Excellent course work with strong academic performance. 
7.    Excellent communication skills as he/she is required to publish and to present results at conferences and journals independently. 
8.    Work well with team and be independent, and be able to balance well between advancing his/her own research and contributing to the larger team’s success. 
9.    Be committed to work effectively and strong desire to make a difference in pushing the frontiers of semiconductor technology.
10.  Open to Fixed Term Contract. 

The Perse School (Singapore) is seeking a dynamic and adaptable Teacher of Computer Science to join our expanding Senior School, opening in August 2025. The successful candidate will play a key role in establishing the Computer Science Department, initially delivering engaging lessons to Years 6 to 10, growing through to Year 11 and A Level/IB Diploma.

Ideally, applicants will have the ability to teach a second STEM subject up to Key Stage 3 or beyond.

As the school grows, this role may include leadership responsibilities within the Science Faculty, providing an exciting opportunity to shape the development of computing education within the Senior School. The post-holder will contribute to the delivery of the Cambridge International Computer Science Curriculum, ensuring students are well-prepared for IGCSE Computer Science and related examinations.

In addition to teaching responsibilities, the successful candidate will serve as a Form Tutor, providing pastoral care and fostering students' personal growth. They will also contribute to the school’s extracurricular programme, engaging students in coding clubs, robotics teams, and computing competitions.

Key Responsibilities:

• Develop and deliver a rigorous and engaging Computer Science curriculum, in line with the Cambridge International Curriculum and The Perse School ethos.
• Teach Computer Science across age ranges from Year 6 through to IGCSE, and A Level/IB Diploma, inspiring students to develop computational thinking and problem-solving skills.
• Support students in preparing for IGCSE Computer Science, for first examination in May/June 2027, delivering a well-structured and challenging course.
• Collaborate with Junior School teachers to ensure curriculum continuity and smooth progression from the Coding and Robotics course taught from Year 3.
• Teach a second subject (e.g., Mathematics, Physics, or another STEM subject) up to Key Stage 3 or 4, where applicable.
• Provide guidance and support as a Form Tutor, promoting students' personal and social development.
• Establish positive relationships with parents, keeping them informed of their child’s progress and addressing any concerns.
• Incorporate innovative teaching strategies and educational technology to enhance learning in Computer Science.
• Create an inclusive and stimulating classroom environment, catering to diverse learning needs, including EAL learners.
• Contribute to the extracurricular programme by leading coding clubs, robotics teams, hackathons, or cybersecurity competitions.
• Engage in professional development and mentor colleagues to promote best practices in computing education.

Person Specification:

Essential Skills and Attributes:

• Strong subject knowledge in Computer Science and effective teaching strategies to support diverse learners.
• Experience teaching Computer Science to students aged 11–16, with familiarity in preparing students for IGCSE or equivalent examinations.
• Excellent interpersonal and communication skills, fostering strong relationships with students, parents, and colleagues.
• Cultural sensitivity and awareness, with the ability to thrive in an international school setting.
• Strong organisational skills and the ability to manage responsibilities effectively in a dynamic environment.
• Proficiency in using technology, coding languages (Python, Java, etc.), and multimedia tools to enhance Computer Science education.
• Demonstrated ability to inspire and motivate students to achieve their full potential in computing.

Desirable Skills and Experience:

• Ability to teach a second STEM subject (Mathematics, Physics, or another relevant discipline) up to Key Stage 3 or 4.
• Experience in developing curriculum frameworks or leading a team within a Technology or Computing Department.
• Experience working with EAL learners, incorporating strategies to support language acquisition in technical subjects.
• Familiarity with concept-based, project-based, or inquiry-based learning approaches.
• Experience teaching in an international school context.
• Passion for integrating Computer Science into cross-curricular initiatives, including STEM projects, AI, and cybersecurity awareness.

Safeguarding:

The Perse School (Singapore) is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment. All candidates will be subject to rigorous safeguarding checks, including reference checks, an enhanced DBS (Disclosure and Barring Service) check, and verification of qualifications and employment history.

As part of our commitment to safeguarding, all staff are required to uphold the school’s safeguarding policies, attend regular training, and promote a safe and inclusive environment for all students. Any gaps in employment must be explained, and candidates should be prepared to discuss their approach to safeguarding in education as part of the recruitment process.

Disclaimer

The statements above outline the general nature and scope of work for individuals in this classification. They are not intended to be a comprehensive list of all responsibilities, duties, and skills required. Personnel may be asked to perform tasks beyond their usual responsibilities as needed.

CONTRACT POSITION!!!

SCIENCE LABORATORY ASSISTANTS

SINGAPOREANS/ PRs ONLY

($2,100-$2, 300)

LOCATION

CENTRAL/NORTH-EAST

JOB DESCRIPTION

The Services required are set out as follows:                                                 

• To support inquiry-based learning for Science.
• To support the smooth operations of two science laboratories with a focus on enabling hands-on learning for science learning.
• To assist teachers in the preparation of materials and apparatus for science practical lessons and assessments.
• To manage, operate, care and maintain the science laboratories and science learning environment (eg. school garden and science corners)
• To source and procure equipment and materials and maintain an inventory list of consumables and keep track of inventory.
• To take responsibility for laboratory safety and may be required to serve as a certified first aider.
• To assist in classes, workshops and other events in logistic support and supervision of safe use of laboratory tools.
• Provide administrative support as deployed by the school.

JOBREQUIREMENTS

• NITEC Diploma or GCE ‘O’ Level Certificate
• Have at least 2 years of similar experience as a lab technician in a primary school
• Good communication and interpersonal skills
• Preferably proficient in MS Office such as Word, Excel and PowerPoint.
• Able to handle live specimens, such as insects and chemicals

WORKING HOURS

• Mondays to Fridays: 7.00 am to 4.30 pm, inclusive of 1hr lunch break
• Service not required on Saturdays, Sundays and gazetted public holidays

SERVICE CONNECTIONS HR CONSULTANCY PTELTD

Email resume to - servcon@singnet.com.sg/ / recruit@serviceconnections.com.sg

OR

Call for more details please call at 6333 0052
Mondays to Fridays
9.00am - 5.00pm

111 North Bridge Road
#07-30 Peninsula Plaza
Singapore 179098
www.serviceconnections.com.sg
License no: 09C4937 / R11022931

About the Job

We are looking for motivated candidates to join a vibrant and collaborative team of scientists and engineers in the Advanced Manufacturing & Semiconductor Division (AMS) at the Institute of High Performance Computing (IHPC), A*STAR. The successful candidate will contribute to research and development in physics-based modelling and scientific machine learning for semiconductor packaging reliability and multiphysics systems. This research explores new computational paradigms that integrate finite-element modelling, multiphysics simulations, and machine learning techniques to enable predictive modelling and accelerated analysis of complex physical systems relevant to advanced semiconductor packaging technologies. These include thermo-mechanical reliability of electronic packages, stress evolution in heterogeneous material systems, interfacial failure mechanisms, and process–structure–property relationships in packaging materials and architectures. You will work on R&D projects spanning fundamental methodology development and application-driven research, with opportunities to collaborate with interdisciplinary teams and industrial partners in the semiconductor ecosystem.

The key scope of work includes

• Integrating finite-element simulations and physics-based models with machine learning approaches for predictive reliability analysis.
• Developing data-driven surrogate models and reduced-order models for thermo-mechanical behaviour in electronic packaging structures.
• Developing high throughput computational workflows that combine multiphysics simulations, data analytics, and machine learning techniques.
• Contributing to the development of AI-enabled predictive frameworks for semiconductor packaging reliability and performance.
• Publishing research outcomes in leading journals and conferences in computational mechanics, semiconductor packaging reliability, and scientific machine learning.
• Collaborating with internal research teams, industry partners, and affiliated institutes on interdisciplinary R&D projects.

Job Requirements

• PhD degree in Mechanical Engineering, Computational Mechanics, Applied Mathematics, Computational Physics, or related disciplines.
• Strong background in numerical simulation and multiphysics modelling, particularly finite-element modelling of thermo-mechanical processes.
• Experience in modelling mechanical and thermal behaviour of materials and structures.
• Experience in data-driven modelling or machine learning approaches for physical systems.
• Strong programming skills in Python, MATLAB, or FORTRAN, with experience in scientific computing environments.
• Experience with simulation tools such as ABAQUS, ANSYS, COMSOL, or other multiphysics simulation platforms is advantageous.
• Experience with high-performance computing or large-scale simulations is an advantage.
• Strong analytical and problem-solving skills, with the ability to work both independently and collaboratively.

We particularly welcome early-career researchers who are passionate about advancing AI-driven modelling and predictive simulation technologies for semiconductor packaging reliability and multiphysics engineering systems.

Name of Authority: Cedar Primary School

Contract Period: 4 May 2026 to 3 May 2027.

Option to extend: a further period of 1 year from 4 May 2027 to 3 May 2028.

Personnel to be deployed at the following hours:

* Mondays to Fridays: 7.00 am to 4.30 pm, inclusive of 1hr lunch break

* Service not required on Saturdays, Sundays and gazetted public holidays

Job Scopes：

The Services required are set out as follows:

* To support inquiry-based learning for Science.

* To support the smooth operations of two science laboratories with a focus on enabling hands-on learning for science learning.

* To assist teachers in the preparation of materials and apparatus for science practical lessons and assessments.

* To manage, operate, care and maintain the science laboratories and science learning environment (eg. school garden and science corners)

* To source and procure equipment and materials and maintain an inventory list of consumables and keep track of inventory.

* To take responsibility for laboratory safety and may be required to serve as a certified first aider.

* To assist in classes, workshops and other events in logistic support and supervision of safe use of laboratory tools.

* Provide administrative support as deployed by the school.

Requirements:

The Personnel shall minimally have the following qualifications, skills and experience:

* NITEC Diploma or GCE ‘O’ Level Certificate

* Have at least 2 years of similar experience as a lab technician in a primary school

* Good communication and interpersonal skills

* Preferably proficient in MS Office such as Word, Excel and Powerpoint.

* Able to handle live specimens, such as insects and chemicals.

Maxhunt Resource Pte Ltd | EA Licence: 22C1322

Cynthia Lai | Registration No: R25146301

Science Teacher Trainee Programme  

Curious about teaching but not sure where to start?
Love science and enjoy working with children?

The Edu Experience invites undergraduates and fresh graduates to join our Science Teacher Trainee Programme— a hands-on training pathway designed to grow you into a confident Science Teacher.

No teaching experience? No problem. We will train you.

What You’ll Do

• Support and co-teach Science lessons with experienced educators
• Engage students through fun, hands-on experiments and activities
• Learn how to plan lessons, manage a classroom, and explain concepts clearly
• Gradually take on teaching responsibilities with guidance and feedback
• Observe real classrooms and learn what great teaching looks like
• Design worksheets, experiments and curriculum to enhance the lesson

What You’ll Learn

• How to teach Science in an engaging, inquiry-based way
• Classroom management and child development basics
• Lesson planning, answering techniques, and assessment skills
• How to build confidence as a teacher, step by step

Who Should Apply

This programme is perfect if you:

• Are an undergraduate or fresh graduate (Science, Engineering, Education, or related fields)
• Enjoy Science and explaining ideas to others
• Like working with children and young learners
• Are exploring teaching as a possible career
• Are open to learning, feedback, and growth

Training → Teaching Career

This is not just an internship.
Successful trainees will have the opportunity to be converted into full-time Science Teachers at The Edu Experience.

What You’ll Get

• Paid training allowance
• Real classroom experience (not just admin work)
• Mentorship from experienced Science educators
• A clear pathway into a teaching career
• A supportive, learning-focused team

Why TEE?

At The Edu Experience, we believe great teachers are nurtured.
If you are passionate about Science, children, and making learning meaningful, we would love to grow with you.

Please send your CV and cover letter to hr@theeduexperience.com

Job Summary

Corporate and Investment Banking (CIB) at Standard Chartered Bank has embarked on an ambitious journey to incorporate the latest AI and data science capabilities in all aspects of our business. This includes our Financial Markets and Transaction Banking businesses. To that end, we are seeking a senior data scientist with strong background and experience in developing and deploying sound AI solutions using both the classical machine learning techniques as well as the latest Large Language Models.

Key Responsibilities

• Liaise with product owners and business stakeholders, identify pain points and business use-cases and gather requirements

• Understand business use-cases and develop AI/ML solutions for various business use-cases in collaboration with product owners and the wider team

• Productionize the developed solutions in collaboration with MLOps Engineer and the wider Tech and Data team

• Stay up-to-date with recent developments in Data Science and NLP domains: algorithms, best practices etc. and disseminate them across the team

• Mentor and upskill more junior team members

Strategy

• Support the development of data and AI solutions in cooperation with business stakeholders, IT teams and other relevant parties and to assure that solutions are aligned to the business strategy, released on time, on budget and with high quality.

Governance

• Ensure data quality (DQMF) is applied for data analytics and AI projects

• Adherence to Risk & Data Quality Management Requirements

• Risk and Audit Continuous management of the Trade Application System risk

• Proactively identify issues and actions

• Monitor and remediate issues and actions from audits

• Awareness of the regulatory requirements and ensuring these are catered for in the platform design

Regulatory and Business Conduct

• Display exemplary conduct and live by the Group’s Values and Code of Conduct.

• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.

• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.

Key stakeholders

• Technology and Engineering teams across the bank

• Corporate and Investment Banking (CIB) business teams

• Digital, Data & Coverage Platforms (DDCP)

Our Ideal Candidate

• Degree in Computer Science, Software Engineering, IT, or related fields

• 6+ years of experience in machine learning, data science and/or other relevant quantitative roles -Banking,finance, fraud, risk

• Proficient in Object-Oriented Programming (OOP) in Python

• Experienced Data Scientist with in-depth knowledge of machine learning, deep learning and statistical analysis techniques

• Experience in NLP/DocumentAI, Entity Matching, Anomaly and Fraud detection would be an advantage

• Proficient in using ML, DL, and NLP libraries such as Scikit-learn, HuggingFace, LangChain and PyTorch

• Experience in using big data tools such as Hadoop, Spark and Hive in a cloud environment would be beneficial

• Familiar with CI/CD and MLOps frameworks and building end-to-end ML pipelines

• Experienced in leading and delivering data science projects and supervising/mentoring junior resources

• Experience in working in an agile environment

• Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders

• Self-driven and highly motivated professional with a strong sense of ownership and a passion towards delivering high-quality client solutions

Role Specific Technical Competencies

• Data Science

• Python

• NLP

• Deep Learning

• Stakeholder Management

About Standard Chartered

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do

• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well

• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

What we offer

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.

• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.

• Flexible working options based around home and office locations, with flexible working patterns.

• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits

• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.

• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Recruitment Assessments

Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Visit our careers website www.sc.com/careers

The Research and Development (R&D) Chef creates new recipes to improve food product from the organisation. Ready to designs new recipes in consideration of ideas and market demand for new products. Ready to improves recipes and preparation methods to meet mass production and regulatory needs. Ready to helps to design marketing strategies based on candidate approach and ideas in creating new products.

Candidate should skilled in culinary arts and is experienced in the Food and Beverage (F&B) sector. Candidate works in a kitchen or laboratory. Candidate has good knowledge on food science and is familiar with nutrition and mass production needs. Candidate has sound understanding of cultural and culinary trends. Candidate is very creative in developing and presenting products.

Duties and Responsibilities

• Assist in data gathering for new product specifications.

• Confirm product formulations and other information for constructing product profiles.

• Create new recipes and refine taste profiles through experimentation.

• Develop ideas from food preparation processes for marketing purposes.

• Develop product improvements based on sensory testing and consumer data.

• Establish product specifications and documentations.

• Make recommendations in the design of new manufacturing processes or to change current equipment or processes.

• Modify new product recipes and ingredient selection while taking note of nutrition, shelf life and regulations.

• Plan, manage and run panel sessions and sensory tests on food products.

• Refine recipe formulation for mass production purposes.

• Review ingredients to meet customer needs and requirements.

• Review methods to improve quality of new food products and compliance with food regulations during mass production.

• Suggest alternative ingredients and food preparation processes to meet mass production and compliance needs.

• Suggest changes to new food production processes.

• Support sales team by preparing samples for local and overseas customers.

• Troubleshoot production processes to resolve production, quality and regulatory compliance issues.

Requirements and Qualifications

• Strong knowledge of food science and nutrition.

• Excellent culinary skills and creativity.

• Ability to work well under pressure.

• Strong communication and presentation skills.

• Detail-oriented with strong organizational skills.

• Ability to conduct thorough research.

• Proficiency in using kitchen equipment and tools.

• Knowledge of food safety regulations.

• Ability to work independently and as part of a team.

• Strong problem-solving skills.

• Willingness to stay updated on industry trends.

• Experience in training and mentoring staff.

• Ability to source and evaluate new ingredients.

• Degree or Diploma or minimum three years relevant work experience

• Able to work early mornings, nights, and weekends

The Research and Development (R&D) Chef creates new recipes to improve food product from the organisation. Ready to designs new recipes in consideration of ideas and market demand for new products. Ready to improves recipes and preparation methods to meet mass production and regulatory needs. Ready to helps to design marketing strategies based on candidate approach and ideas in creating new products.

Candidate should skilled in culinary arts and is experienced in the Food and Beverage (F&B) sector. Candidate works in a kitchen or laboratory. Candidate has good knowledge on food science and is familiar with nutrition and mass production needs. Candidate has sound understanding of cultural and culinary trends. Candidate is very creative in developing and presenting products.

Duties and Responsibilities

• Assist in data gathering for new product specifications.

• Confirm product formulations and other information for constructing product profiles.

• Create new recipes and refine taste profiles through experimentation.

• Develop ideas from food preparation processes for marketing purposes.

• Develop product improvements based on sensory testing and consumer data.

• Establish product specifications and documentations.

• Make recommendations in the design of new manufacturing processes or to change current equipment or processes.

• Modify new product recipes and ingredient selection while taking note of nutrition, shelf life and regulations.

• Plan, manage and run panel sessions and sensory tests on food products.

• Refine recipe formulation for mass production purposes.

• Review ingredients to meet customer needs and requirements.

• Review methods to improve quality of new food products and compliance with food regulations during mass production.

• Suggest alternative ingredients and food preparation processes to meet mass production and compliance needs.

• Suggest changes to new food production processes.

• Support sales team by preparing samples for local and overseas customers.

• Troubleshoot production processes to resolve production, quality and regulatory compliance issues.

Requirements and Qualifications

• Strong knowledge of food science and nutrition.

• Excellent culinary skills and creativity.

• Ability to work well under pressure.

• Strong communication and presentation skills.

• Detail-oriented with strong organizational skills.

• Ability to conduct thorough research.

• Proficiency in using kitchen equipment and tools.

• Knowledge of food safety regulations.

• Ability to work independently and as part of a team.

• Strong problem-solving skills.

• Willingness to stay updated on industry trends.

• Experience in training and mentoring staff.

• Ability to source and evaluate new ingredients.

• Degree or Diploma or minimum three years relevant work experience

• Able to work early mornings, nights, and weekends

As a University of Applied Learning, SIT collaborates closely with industry partners in our research pursuits. Our research staff can gain practical research skills that are directly relevant to industry needs while working on projects at SIT.

The main responsibility of this position is to deliver on an industry innovation research project. The Research Fellow/Engineer will be a key member of the research team focused on developing a framework for soil conditioning in Singapore soils through a series of experimental investigations. Additionally, they will work on delivering a novel Screw Conveyor Extraction Test (SCET) equipment, crucial for accurately assessing the effectiveness of soil conditioning in tunneling processes. The proposed framework and equipment will be validated at an active tunneling site.

Key Responsibilities

• Participate in and manage the research project with the Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.

• Undertake these responsibilities in the project:
• Execute all experiments (e.g. foam stability test, slump test etc.) reliably.
• Liaise with the industry partner and agency to plan and execute the field trials.
• Develop the framework for effective soil conditioning in local soils.
• Design the SCET equipment and liaise with vendors in its manufacture and assembly.
• Validate the framework and SCET using findings from field tests.
• Mentor and provide technical guidance to student assistants involved in the research project.
• Carry out Risk Assessments, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaise with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of the equipment.
• To liaise with any internal or external stakeholders to ensure project deliverables are met
• Any other ad-hoc duties assigned by Supervisor.

Job Requirements

• Have relevant competence in the areas of geotechnical experimental investigations and soil conditioning used in tunnelling.
• Prior experience in basic soil characterization and knowledge in basic soil mechanics is required.
• Have a degree in civil engineering. Possessing a Master’s or PhD degree will be advantageous
• Knowledge of physical modelling will be advantageous.

Key Competencies

• Have relevant competence in the areas of geotechnical experimental investigations and soil conditioning used in tunnelling.
• Prior experience in basic soil characterization and knowledge in basic soil mechanics is required.
• Have a degree in civil engineering. Possessing a Master’s or PhD degree will be advantageous
• Knowledge of physical modelling will be advantageous.

This is an exciting opportunity to join an early-stage biotech venture working at the forefront of yeast fermentation. As a Research Intern, you will support ongoing R&D efforts in strain engineering and bioprocess development to enable the production of innovative lipid ingredients via precision fermentation.

You will work closely with the CTO, Senior Strain Engineer, and broader technical team, gaining hands-on experience in genetic engineering, microbial cultivation, and experimental design in a fast-paced startup environment.

Job Description:

• Support routine laboratory operations, including keeping well-organized experimental records and preparation and maintenance of strains, reagents, and consumables
• Execute day-to-day experimentation, including molecular biology workflows and strain screening
• Assist in the design, construction, and testing of engineered microbial (yeast) strains
• Support lipid and fatty acid characterization through analytical assays
• Contribute to ongoing strain engineering and fermentation optimization projects

Ideal Qualifications:

• Currently pursuing or recently completed a Bachelor’s degree in Bioengineering, Chemical Engineering, Microbiology, Molecular Biology, or a related field
• Basic laboratory experience in molecular biology, microbiology, or biochemical engineering
• Familiarity with yeast systems or microbial fermentation is a plus
• Exposure to genetic engineering techniques (e.g.,cloning, transformation, CRISPR) is advantageous
• Singaporean and Singapore PR applicants only

Ideal Skills and Attributes:

• Strong interest in strain engineering, synthetic biology, and industrial biotechnology
• Good foundational knowledge in biochemistry and microbial metabolism
• Detail-oriented with good record-keeping and organizational skills
• Eagerness to learn, take initiative, and work in a fast-paced research environment
• Strong communication and teamwork skills

Location: The position is based out of Singapore. Singaporean and Singapore PR applicants only.

Application: Please send your resume and a cover letter outlining why you’d be interested in this position to shen@terraoleo.com with email subject "Research Intern 2026 - [Your Name]." Compensation will be commensurate with similar research internship roles.

About Terra Oleo:

Terra Oleo is a Singapore-based biotech venture harnessing microbial fermentation to develop sustainable alternatives to conventionally palm oil–derived ingredients and cocoa butter, with the goal of decarbonizing and advancing industries such as personal care, home care, food, and pharmaceuticals.