Total 592 manufacturing engineer job vacancies in Education / Training category in Singapore

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking highly motivated and talented Research Fellows to join our dynamic research team. The successful candidate will work on cutting-edge projects in fields of advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics. The role includes conducting independent research, collaborating across disciplines, and contributing to high-impact publications in reputable international journals. This position provides an excellent opportunity to develop your expertise in innovative technologies while working in a collaborative and multidisciplinary environment.

Qualifications

• A PhD degree in materials, chemistry, chemical engineering, mechanics, biological engineering, or any related fields.
• Strong expertise in advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics.
• A proven track record of publications in reputable international journals.
• Excellent written and spoken communication skills.
• Strong problem-solving skills, attention to detail, and the ability to work independently.
• A collaborative mindset and the ability to work effectively in a multidisciplinary team.
• Less than 3 years of work experience after obtaining a PhD degree.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking highly motivated and talented Research Fellows to join our dynamic research team. The successful candidate will work on cutting-edge projects in fields of advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics. The role includes conducting independent research, collaborating across disciplines, and contributing to high-impact publications in reputable international journals. This position provides an excellent opportunity to develop your expertise in innovative technologies while working in a collaborative and multidisciplinary environment.

Qualifications

• A PhD degree in materials, chemistry, chemical engineering, mechanics, biological engineering, or any related fields.
• Strong expertise in advanced manufacturing, micro-nanofabrications, microfluidics, and soft robotics.
• A proven track record of publications in reputable international journals.
• Excellent written and spoken communication skills.
• Strong problem-solving skills, attention to detail, and the ability to work independently.
• A collaborative mindset and the ability to work effectively in a multidisciplinary team.
• Less than 3 years of work experience after obtaining a PhD degree.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

• Lead advanced research in the formulation and processing of functional materials for 3D printing, materials characterization and analysis.
• Collaborate with interdisciplinary teams to integrate materials into functional prototypes and applications.
• Prepare research findings for publication in high-impact scientific journals.
• Assist in the supervision and mentorship of graduate and undergraduate students.
• Participate in lab management, including equipment maintenance, supply management, and ensuring compliance with health and safety regulations.

Qualifications

• Ph.D. in Materials Science, Mechanical Engineering, or a related field.
• Strong background in materials characterization and 3D printing technologies.
• Proven track record of publishing high-quality research in peer-reviewed journals.
• Excellent problem-solving skills and ability to work independently and collaboratively.
• Strong written and oral communication skills.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The job holders are to work with PI and the research team to process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Proven as a fast learner of conducting literature search and literature summary
• Experiences of VOC speciation via chromatography and/or online real-time detection instrument (e.g., PTR-MS)
• Proficient of handling data via 2 methods among Excel, R, Matlab, Python, etc.
• Proactive in assisting and contributing to quality scientific research publications
• Keen on field studies with prior experiences
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The job holders are to work with PI and the research team to process air quality data and study small-scale dispersion of airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Proven as a fast learner of conducting literature search and literature summary
• Experiences of chemical characterization via chromatography (GCMS, LCMS, GCTOFMS, etc.)
• Proficient of handling data via 2 methods among Excel, R, Matlab, Python, etc.
• Proactive in assisting and contributing to quality scientific research publications
• Keen on field studies
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore is recruiting a Research Engineer. The successful candidate will work on experiments and numerical modelling of 3D breaking waves and wave-current interaction. The candidate should have strong knowledge background in terms of waves, currents, turbulence, etc. Experience with experiments and CFD model will be advantageous. Only shortlisted applicants will be notified.

Job Requirements

• Possess at least a Masters degree in Civil Engineering with related research experience.
• Candidates with background in fluid mechanics, coastal and ocean engineering, experimental methods are encouraged to apply.
• Strong written and spoken communications.
• Good in quantitative analysis.
• Strong written and spoken communications.
• Good knowledge of CFD analysis and programming skill is an advantage.
• Open to fixed-term contract.

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply.
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field.
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply.
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

The CPPS group is seeking a highly motivated senior research engineer or lead research engineer to lead and conduct R&D in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is an advantage

Job Requirement:

• Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation
• 1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer).
• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others.
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

CPPS group is seeking a highly motivated, independent and creative research engineer to deliver impactful and innovative AI-based digital technologies for predictive/prescriptive analytics and decision support. The candidate will work with a multidisciplinary team of scientists and engineers to translate problems faced by industry into opportunities to develop and deploy deep tech in AI.

The key roles & responsibilities include, but are not limited to the following:

• Co-develop AI models to enhance and automate decision making
• Work with a team of scientist and engineers to execute deliverables for industry projects
• Engage companies to understand their challenges and translate to research collaborations in AI
• Contribute to research and development in Cyber-Physical Production System technologies, including technology development, live production environment test-bedding and technology transfer of robust algorithms to industry
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with Industry 4.0 standards and concepts is an advantage

Job Requirement:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Mechanical Engineering, or a related field
• Candidates with an ambition and attitude for cutting-edge research are welcome to apply
• Strong understanding of machine learning algorithms, statistical analysis, and data preprocessing techniques
• Experience with machine learning frameworks and libraries, such as TensorFlow, Keras, PyTorch, or Scikit-learn
• Excellent verbal and written communication skills
• Quality focused and customer-centric
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Job Description:

The CPPS group is seeking a highly motivated senior research engineer or lead research engineer to lead and conduct R&D in Industry 5.0 smart manufacturing solutions and integrating digital technologies with AI-enabled physical production systems that promote human-centricity, environmental sustainability, and value chain resilience in manufacturing. The ideal candidate should have a strong background in controls, integration and PLC programming. The key roles & responsibilities include, but are not limited to the following:

• Conduct R&D in novel adaptive and autonomous control algorithms for scalable self-learning, self-optimizing and self-recovery production systems
• Work with a team of engineers and scientist to design and implement integrated IIOT and AI-enabled production systems for smart manufacturing
• Understand autonomous manufacturing domain and provide innovative solutions to industry problems in this area
• Familiarity with industry communication protocols such as OPC-UA, MQTT, Profibus, and RS-232 is an advantage

Job Requirement:

• Masters or Bachelor degree in Computer Science / Engineering, Electrical Engineering, Mechanical Engineering, with emphasis on controls, integration and automation
• 1-3 years experience in industry and/or R&D projects in the area of controls and IIOT (min. 5 years for Lead Research Engineer).
• Develop and program PLCs and other control systems, utilizing platforms like TwinCAT, EcoStruxure, Codesys and others.
• Ability to apprehend and/or interpret electrical circuit diagrams is a strong advantage
• Excellent technical presentation and writing skills
• Can-do attitude and able to work with different needs of various stakeholders
• Proactive team player and technically motivated to solve problems innovatively

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

This position focuses on investigating the mechanism of pipeline leakage induced ground deformation under heavy rainfall and proposing intelligent control methods.

The scope also requires the selected Research Engineer to

• Investigate the mechanism of pipeline leakage induced ground responses under heavy rainfall.
• Propose intelligent control method for preventing sinkholes.

Job Requirements

• Possess at least a bachelor/master’s degree in relevant field,
• Demonstrate a research or professional background aligned with the development of the physical model.
• Exhibit proficiency in coupled multi-physics modelling.
• Display strong teamwork capabilities and effective communication skills.
• Open to fixed-term contract
• Please note that only shortlisted candidates will be contacted.

Project Overview

The AMR IRG is an interdisciplinary community of biologists, engineers, and clinicians from MIT and Singapore, sharing a state-of-the art research facility and united by a commitment to providing a supportive intellectual environment where students and staff can learn, grow, and contribute to solving a pressing societal problem.

The objective of this project is to advance the field of RNA analysis by developing and implementing innovative analytical tools. These tools will be used in a comprehensive study of all forms of RNA -- the ribonucleome -- and the >170 RNA modifications -- the epitranscriptome -- in disease pathobiology, host-pathogen interactions, biomarker development, and therapeutic target discovery.

Responsibilities

The Research Engineer will plan and conduct experiments with the aim of understanding RNA modifications' roles in human disease and leveraging RNA-modifying enzymes as potential drug discovery targets. The candidate will work primarily on cell culture, RNA isolation, and chromatography-coupled mass spectrometry analysis. As part of this work, the candidate will prepare results for publication, be a liasion with the AMR IRG community, work with external collaborators, and develop strong experimental and communication skills.

Requirements

B.S. or M.S. in biochemistry, molecular & cell biology, bioengineering, chemical engineering, or a related field.

Experience in cell culture, RNA extraction, high-performance liquid chromatography or mass spectrometry are prefered. Strong proficiency in oral and written communication in English. Ability to work well with others and as part of a team.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notifie

Job description

Nanomatics, a cutting-edge startup revolutionizing plastic waste management, is seeking a Research Engineer with background in manufacturing and engineering. The candidate will lead research and development activities at Company’s manufacturing research facility (demonstration plant) for plastic waste upcycling.

Responsibilities

1. Contribute to research and development work at a manufacturing research facility (demonstration plant) through experiments including:

- Plastic waste conversion into various products.

- Analysis of energy and material balances.

- Evaluation of process performance.

- Implementation of modifications and improvements to original design.

- Documenting activities and data obtained.

- Development of improved processes for material handling, treatment and storage.

2. Ensure adherence of operations to all regulatory and statutory requirements, especially, workplace health and safety practices. Liaise with safety officer and operation teams to prepare and maintain up to date relevant work permits, risk assessments, safe work procedures and method statements.

3. Organize, monitor and ensure that manufacturing research facility is operated with maximum efficiency at minimum cost.

4. Perform routine checks and process control to ensure smooth operation and keep relevant records of these activities.

5. Maintain and improve housekeeping. Ensure that waste, chemicals, product handling equipment and assigned areas are kept clean.

6. Assist with other tasks as directed by a supervisor and company management.

Requirements:

1. Degree or Diploma in Chemical Engineering, Mechanical Engineering, Manufacturing or related field of study. Fresh graduates will be considered, although work experience in manufacturing will be beneficial.

2. Hands-on experience including: metal design and fabrication, using hand tools (non-powered and powered), minor repairs and maintenance of equipment, day-to-day troubleshooting of machinery/equipment.

3. Strong verbal and written communication skills in English to communicate with other team members and workers.

4. Software knowledge: MS Office, Google Docs, Autodesk (Fusion).

6. Fit to wear dust mask/gas respirator.

7. Prepared to work in Tuas area (near Tuas Crescent MRT).

8. Resilient to noise, dust and heat at the manufacturing site.

Project Overview

SMART M3S is undertaking a project that includes three key work streams:

1) Content: Developing an ontology encompassing various activities, actors, and processes arranged systematically. This involves:

• Extracting content from databases like the Department of Labor's O*Net.
• Human Curation and editing.
• Utilizing Large Language Models(LLMs) for content generation.
• Applying machine learning and statistical techniques to identify clusters of similar activities.

2) Software Tools: Creating a suite of software tools to :

• Browse, edit, and search the online knowledge base.
• Extract content from diverse sources.
• Facilitate human review.
• Integrate LLMs for content generation.
• Support applications demonstrating the ontology's usefulness.

3) Applications: Developing proof-of-concept applications by the end of the one-year project to showcase the ontology's utility. Potential areas include:

• Rapid identification of use cases for generative AI tools.
• Automated generation of detailed workflows and task assignments.
• Stimulating human creativity to address business and societal challenges like climate change and democratic processes.

Responsibilities

The Full Stack Developer will perform the following:

• Design, develop and maintain software tools essential for creating and managing the ontology and its applications.
• Work closely with a multidisciplinary team of researchers, developers, and content specialists.
• Integrate Large Language Models into software applications to enhance functionality.
• Optimize existing codebases for performance and scalability.
• Conduct code reviews, write unit tests, and ensure software reliability.

Requirements

• Bachelor's Degree with proven experience and a strong portfolio
• Deep knowledge and hands-on experience with the following technologies:

1) Frontend:

• Next.js
• TypeScript
• MUI (Material-UI)
• D3.js

2) Backend:

• Node.js
• Firebase and Firebase Cloud Firestore

3) Testing:

• Jest
• Cypress
• Proficiency in LLM Prompt Engineering.
• Excellent analytical and problem-solving skills.
• Ability to work independently and collaboratively in a team environment.
• Strong verbal and written communication skills.

_________________________________________________________________

Applicants are required to complete the following as part of the screening process:

1) Clone and Optimize

-Clone this code sandbox (https://codesandbox.io/p/sandbox/react-usestate-update-nested-in-another-usestate-functional-update-r4lwq0?file=%2Fsrc%2FApp.js)

-Optimize the code for performance and readability.

2) Submit Solution:

-Provide the URL to your optimized solution.

-Include a detailed description of the optimizations made and the reasoning behind them.

GitHub Respository: Link to your GitHub profile showcasing relevant projects.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The job holders are to work with PI and the research team to conduct research characterizing airborne pollutants in urban environment.

Qualifications

One or more of (but not limited to) the following:

• Experience in applying data analytics, machine learning and handling big data
• Experience in applying Pythons functions of matplotlib, and numPy, pandas, statsmodels
• Fast learner - capable of conducting independent research and proficient literature search, review & summary with strong background in Chemical Engineering / Chemistry / Physics
• Experience in operating instruments measuring physical and/or chemical properties of airborne pollutants
• Proactive in assisting and contributing to quality scientific research publications
• Proficient in technical presentation, slide making, report writing, etc.
• Proven rounded and effective team player with strong initiative and ownership of the research project

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a Research Engineer to join our research team to work on related Soft Robotics.

Key Responsibilities:
To design, build and test whole hybrid robot systems for specific scenarios.

Qualifications

• Possess a bachelor’s degree in biomedical engineering or related field.
• Have relevant experience with hybrid robot system development and evaluation.
• Have good knowledge of soft robot actuator/sensor/integration fabrication.
• Good written and spoken communication skills and the ability to collaborate effectively in a team environment.
• Open to fixed-term contract.

Under the Air Traffic Management Research Institute (ATMRI) (http://atmri.ntu.edu.sg/), Nanyang Technological University, you will be part of a research team to study the use of Artificial Intelligence and Data Analytics in Air Traffic Management Systems. The selected candidate will work on developing innovative machine learning models to address key challenges in the future airspace system, including traffic prediction, optimization, and safety enhancements.

Key Responsibilities:

• Develop and implement machine learning models for air traffic prediction, flow management, and conflict detection.
• Apply deep learning, reinforcement learning, and other advanced AI techniques to improve decision-making in ATM systems.
• Work with real-time and historical air traffic data (e.g., ADS-B) to build predictive models for air traffic demand and capacity.
• Collaborate with a team of researchers and engineers to integrate machine learning models into ATM decision support systems.
• Analyze the performance of machine learning models and optimize their scalability for real-world airspace management applications.
• Participate in project meetings, prepare research reports, and contribute to publications in top-tier academic conferences and journals.
• Assist in the preparation of project proposals and technical documentation.

Job Requirements:

• Master's degree in Artificial Intelligence.
• Evidence of developing Machine Learning and Optimization models for ATM system.
• Strong programming skills in Python.
• Good English writing and communication skills - for research purposes
• Independent and team player.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a Research Engineer to join our research team to work on related Soft Robotics.

Key Responsibilities:

To design, build and test whole hybrid robot systems for specific scenarios.

Qualifications

• Possess a bachelor’s degree in biomedical engineering or related field.
• Have relevant experience with hybrid robot system development and evaluation.
• Have good knowledge of soft robot actuator/sensor/integration fabrication.
• Good written and spoken communication skills and the ability to collaborate effectively in a team environment.
• Open to fixed-term contract.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Chemical and Biomolecular Engineering, National University of Singapore, is inviting applications for 1 Research Engineer (RE) position under Associate Professor Sibudjing Kawi’s group. The candidate will work on A*STAR LCERFI research project entitled “Methane Pyrolysis for Hydrogen and Carbon Nanotube Production via Novel Catalytic Membrane Reactor System”.

Qualifications

Master degree in chemistry/chemical engineering in the area of catalysts, inorganic membranes and inorganic membrane reactors for high temperature reactions.

• Proven experience (with good research track record in terms of publications and/or patents) in the field of inorganic hollow fiber membrane synthesis, catalyst synthesis/characterization/testing for hydrocarbon pyrolysis and catalytic membrane reactor design.
• Strong team player skills and the ability to work harmoniously with a diverse workforce.

Job Description

An internship position for a student with manufacturing, chemical and/or mechanical background to obtain training in research and development, operations of demonstration plant, workplace health and safety in manufacturing environment for sustainable waste management.

Intern’s duties include:

1. Contribute to research and development activities at a manufacturing research facility (demonstration plant) through planned experiments and equipment operations.

2. Follow regulatory and statutory requirements, especially, workplace health and safety practices. Contribute to preparation and maintenance of process documentation, such as permits to work, risk assessments, safe work procedures and method statements.

3. Support site operation activities as directed by a supervisor.

4. Maintain and improve housekeeping. Ensure that waste, chemicals, product handling equipment and assigned areas are kept clean.

5. Resolve product quality issues arising from production or operation by working closely with team members.

6. Assist with other tasks as directed by a supervisor and company management.

Requirements for the intern:

Pursuing Diploma from a Poly or Bachelor or Master’s degree from University in Manufacturing, Chemical or Mechanical Engineering in Singapore.

Has hands-on experience with hand tools, minor repairs and maintenance of equipment, day-to-day troubleshooting of machinery/equipment..

Proficient with MS Office.

Strong verbal and written communication skills.

Good analytical and problem-solving skills.

Familiar with 3D CAD software: preferably, Autodesk Fusion.

Able to follow Workplace Safety and Health regulations. Having safety training certificates is an advantage.

Fit to wear dust mask/gas respirator.

Prepared to work in Tuas area.

ISCE2 is seeking a talented Research Engineer to be part of a young, dynamic, multi-disciplinary team to develop next generation green and sustainable technology for the biomanufacturing of fine and specialty chemicals. This position offers an opportunity to work enzyme and bioengineering to develop new enzymes for more streamlined manufacturing of complex molecules. The ideal candidate is passionate about science and sustainability, self-motivated, organised, detail-oriented, enjoy laboratory work, and has excellent communication and teamwork skills. The successful candidate may be responsible for but not limited to:

• Conduct experiments related to molecular biology, including molecular design and cloning
• Perform protein expression in bacterial systems, including molecular cloning, fermentation in bioreactors/shake flasks, and protein separation and immunoassays
• Design, plan and execute experiments based on proposed project scope
• Be comfortable with the use of technology to aid experiments
• Support screening, biocatalysts characterization and hits validation efforts
• Analyze data, interpret results and troubleshoot
• Presentation at regular project meetings and summarize results in reports
• Presentation and review of relevant literature
• Assist in the preparation of scientific communications, publications, figures and posters
• Perform general lab housekeeping
• Other duties as assigned by the manager

Requirements:

• BSc or Masters degree with some laboratory experience, preferably in Microbiology, Biotechnology, Chemical Engineering or Biological Engineering.
• Preferred hands-on experience with microbial culture.
• Experience with bioreactors will be advantageous.
• Preferred hands-on experience with molecular cloning and bioanalytical techniques, such as PCR, SDS-PAGE, LC-MS, Western blot, ELISA or other immunoassays, etc.
• Team player who is self-motivated and enjoy applied research work in a multidisciplinary environment
• Adaptable to team-oriented goals and requirements
• Good problem-solving skills
• Rigorous data analysis and interpretation skills
• Meticulous, attention to details and organized
• Excellent oral/written communication, documentation and organization skills
• Ability to prioritize responsibilities and multi-task

ISCE2 offers a challenging and rewarding work environment with opportunities for career development. If you are passionate about science and sustainability, and want to make a difference in the world, we encourage you to apply.

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

Key Responsibilities:

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

Job Requirements:

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

We regret that only shortlisted candidates will be notified.

Relocating to Norway, this is full time role .

Our client is a start-up developing solutions to bring small-scale hydropower plants into the future, turning them into flexibility resources for the energy market.

By creating intelligent control systems to coordinate hydro power production and utilise supercapacitors, it enabling these resources to operate in the frequency market and help stabilise the power grid.

You’ll join a team backed by industrial investors and public investment funds.

working along with a dynamic work environment with high skilled scientists from all over the world.

You will involve in building pioneering technology for energy optimization and stabilization of the power grid through advanced software.

Combining physics-based and data-driven modeling with state-of-the-art control and machine learning methods to build cutting edge autonomous solutions.

You’ll dive into complex R&D tasks like:

Modeling the dynamics of hydro power systems and power grid to serve as digital twins for simulation, estimation and control

Developing learning algorithms that fit models to real-world data.

Using models to develop advanced autonomous control solutions.

Creating predictive solutions to optimise operation and detect problems.

Qualifications

You have an engineering degree (M.Sc./Ph.D.) within cybernetics engineering, dynamical systems, optimization, estimation, or control.

You’re fluent in mathematical modeling, coding, automation, control systems, and/or machine learning.

Your expertise lies in fields like parameter estimation, machine learning/AI, nonlinear systems, Kalman filters, Bayesian methods, and adaptive control design.

Knowledge of hydro power, power grid or power electronics technologies are an avantage, but not a requirement.

If you specialise in one or more of these areas, you’ll be a great fit!

Personal Traits We Value:

Someone who are structured and good at planning.

You can break down complex problems into concrete, manageable tasks.

You combine theoretical knowledge with practical problem-solving.

You love team collaboration but also enjoy diving deep into technical challenges.

Motivated by solving the unsolvable, and thrive in a fast-paced, results-oriented environment.