Total 192 process engineer job vacancies in Education / Training category in The Philippines

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

Work on hands-on experiments for few of the following tasks:
1. Design, Simulation, and Fabrication of Piezoelectric MEMS resonators; filters and sensors 
2. Design, modelling and testing of neural networks aiming for human-machine-interface
3.Write 1 or more research papers based on derived data of the above devices in the first year in the top-notch journals
4.Supporting and guiding the experiments of FYP students

Qualifications

1. Have learned Piezoelectric MEMS resonators; filters and sensors related courses for one semester at post-graduate level and earned score of A- or better.
2. Strong background in hands-on microfabrication techniques at clean room and with journal publications showing such evidences
3. With 2 years and more experience in making and testing MEMS devices
4. With 1 year and more working experience in MEMS and Photonics design
5. Strong knowledge in L-Edit; Lumerical; CST; COMSOL; ANSYS; 
6. Fluent in English speaking and writing
7. Having more than 1 1st-authored international peer-reviewed journal papers, e.g., Nature Communications and Science Advances (for Research Engineer)

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

Work on hands-on experiments for few of the following tasks:
1. Design, Simulation, and Fabrication of Piezoelectric MEMS filters and Si Photonics 
2. Design, modelling and testing of photonic neural networks (PNN) aiming for human-machine-interface
3.Write 1 or more research papers based on derived data of the above devices in the first year in the top-notch journals
4.Supporting and guiding the experiments of FYP students

Qualifications

1. Have learned MEMS, RF filters or Si Photonics related courses for one semester at post-graduate level and earned score of A- or better.
2. Strong background in hands-on microfabrication techniques at clean room and with journal publications showing such evidences
3. With 2 years and more experience in making and testing MEMS devices
4. With 1 year and more working experience in MEMS and Photonics design
5. Strong knowledge in L-Edit; Lumerical; CST; COMSOL; ANSYS; 
6. Fluent in English speaking and writing
7. Having more than 1 1st-authored international peer-reviewed journal papers, e.g., Nature Communications and Science Advances (for Research Engineer)

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting research on Generative Agents for pre-assessment evaluation. Successful candidate will be part of an active research team led by Associate Prof LO Siaw Ling from School of Computing and Information Systems (SCIS), Singapore Management University (SMU).

Candidate's core responsibilities are:

• Conduct research in the generative agents area.
• Develop, design and implement research prototypes and test-bed systems to achieve project requirements and targets.
• Manage development environment, including versioning, APIs cost handling.
• Showcase the work at events or conferences.
• Assist other researchers to collect and extract relevant data for research purposes.
• Other duties as assigned.

• Minimum bachelor's in computer science, Information Technology, Information Systems or closely related disciplines from an institution of higher learning.
• Minimum 1 year of relevant research experience in Large Language Models (LLMs), Agentic AI, Human-Computer Interaction, or natural language processing (NLP).
• Proficiency in programming software/languages such as Python, Java will be required.
• Demonstrated experience and know-how on conducting research, particularly in the area of LLMs, Agentic AI, Human-Computer Interaction, or NLP, will be a plus.
• Good analytical, technical and problem solving skills.
• Self-motivated individual who can work independently and also collaboratively with team members.

#LI-JN2

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. 

Key Responsibilities

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

• Perform materials characterisation and microstructural analysis, including but not limited to:

1. X-ray Fluorescence (XRF)
2. X-ray Diffraction (XRD)
3. Scanning Electron Microscopy with Energy Dispersive X-ray Spectroscopy (SEM-EDX)
4. Thermogravimetric Analysis (TGA)
5. Isothermal calorimetry
6. Fourier transform infrared spectroscopy (FTIR)
7. Evaluation of strength development and hydration behaviour
8. Durability performance and long-term behaviour.

• Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers. The employee is to communicate with any relevant internal or external stakeholders to ensure project deliverables are met.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.
• Any adhoc duties assigned.

Job Requirements

• Master’s degree in Materials Science (Cement and Concrete), Civil Engineering, or a related discipline.
• Demonstrated knowledge and competence in cementitious materials and concrete characterisation, especially for Limestone Calcined Clay Cement (LC³) and Carbonated Steel Slag Cement.
• Familiarity with cement chemistry and hydration mechanisms will be an advantage.

Key Competencies

• Ability to build and maintain strong working relationships with internal and external stakeholders.
• A self-directed learner with a strong commitment to continuous learning and professional development.
• Strong technical writing and presentation skills.
• Excellent analytical and critical thinking abilities.
• High level of initiative, responsibility, and ownership of work.
• Ability to work effectively both independently and within multidisciplinary research teams.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. 

The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to lead the storm surge modelling in the Singapore Sea.  As a specialist in wave modelling software, the successful candidate will work on cutting-edge projects related to coastal and ocean wave modelling using Delt3D software. The role of the researcher is to perform physics-based modeling to build a numerical model that can predict storm surges in Singapore coastlines based on different weather conditions. The researcher will also work with team members within the consortium in generating necessary data required for developing a machine learning model for storm surge prediction.

Key Responsibilities

• Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.
• Undertake these responsibilities in the project:
• Delft3D and SWAN Modelling: Utilize Delft3D and SWAN software to develop and validate numerical models for wave propagation, storm surge modelling, and coastal dynamics.
• Building up of a database of sea level anomaly with extreme weather conditions: Utilize the developed numerical model to build a database of sea level anomaly with different weather conditions, which can be used to develop a data-driven model for storm surge prediction.
• Data Analysis: Process and analyze climate, ocean wave and coastal data to improve model accuracy.
• Research: Conduct research to enhance wave modelling techniques and contribute to the advancement of coastal engineering and oceanography.
• Impact Assessment: Evaluating the potential impacts of storm surges on coastal regions, including flood risk assessments and vulnerability analyses.
• Collaboration: Collaborate with interdisciplinary teams, including hydrodynamic researchers, coastal engineers, and oceanographers.
• Reporting: Prepare research findings for publication in scientific journals and present results at conferences. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaison with vendors/suppliers.
• Work independently, as well as within a team, to ensure proper operation and maintenance of equipment.
• Assists in co-supervision of Final Year Projects (FYP) or capstone projects students together with the project PI.
• The employee is to communicate with any relevant internal or external stakeholders to ensure project deliverables are met.
• Any adhoc duties assigned.

Requirements

• PhD or Master degree in a related field with a focus on coastal engineering, oceanography, or hydrodynamics.
• Proficiency in wave modeling software, particularly Delft3D and SWAN.
• Strong analytical and problem-solving skills.
• Research experience in coastal and ocean waves is preferred.
• Excellent communication (verbal and written) and teamwork abilities
• Proficiency in machine learning will be an advantage

Key Competencies

• Able to build and maintain strong working relationships with people within and external to the university.
• Self-directed learner who believes in continuous learning and development
• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work

Job Description: The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis design solutioning, conduct evaluation to build stat-of-the-art foundational models and develop use cases. Strong problem solving, coding and communications skills are expected.

  Job Requirement:

  - MSc in ML, NLP, background in speech, national language understanding
- At least 5 years of experience
  - Proficient programming skills, familiarity with Linux
  - Familiar with LLM training framework
  - Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
  - Strong in local or regional languages

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job Description: The candidate needs to implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of foundation model. The candidate is expected to work as a team in problem analysis design solutioning, conduct evaluation to build stat-of-the-art foundational models and develop use cases. Strong problem solving, coding and communications skills are expected.

  Job Requirement:

  - BSc/MSc in ML, NLP, background in speech, national language understanding
- At least 3 years of experience
  - Proficient programming skills, familiarity with Linux
  - Familiar with LLM training framework
  - Strong analytical and critical thinking skills, good team player with good communication and interpersonal skills
  - Strong in local or regional languages

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

ABOUT THE ROLE

SIMTech is looking for a highly motivated, independent, and innovative backend Software Engineer (with a focus in artificial intelligence and/or data system) to join Sustainable Industrial Systems (SIS) Group. The successful candidate is expected to be creative and team-oriented, finding innovative solutions to new challenges and managing the software development life-cycle using agile approaches. The candidate will work closely with other developers, UX designers, data scientists and engineers to deliver quality systems in a timely fashion.

JOB DESCRIPTION

Key Responsibilities

The successful candidate is expected to contribute to Software Development activities in the research area of sustainability, where they will be working alongside a team of full-stack developers, scientists and engineers, to perform tasks including:

• Design and develop backend web applications and database schemas
• Design, develop, and deploy AI/ML models for production use
• Integrate AI capabilities into applications (APIs, microservices, or embedded components)
• Conduct model experimentation, optimization, and benchmarking
• Manage source codes and maintain workflows for version control
• Fix and troubleshoot code issues and technical issues
• Perform program coding & testing in compliance with approved life cycle methodologies
• Resolve application-based issues through debugging, research, and investigation

Qualification and relevant experience

• Bachelor’s or higher in Computer Science, AI, Data Science, or related field

• Working proficiency in some of the following areas:

1. SQL Databases, and ORMs (e.g. SQLAlchemy)
2. Python programming and common machine learning (ML) frameworks
3. Good understanding of data preprocessing, feature engineering, and model evaluation.
4. Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker)
5. Experience deploying AI models into production environments
6. Knowledge of REST APIs, Git, and CI/CD workflows

• Genuine interest in applying AI to solve sustainability challenges
• Curiosity, adaptability, and willingness to learn domain concepts like Life Cycle Assessment (LCA) and Techno-Economic-Assessment (TEA)
• Ability to communicate complex procedures to other colleagues
• Strong hands-on capabilities
• Diligent and possess a positive work attitude
• Good communication, writing and presentation skills

ABOUT THE ROLE

SIMTech is looking for a highly motivated, independent, and innovative backend Software Engineer (with a focus in artificial intelligence and/or data system) to join Sustainable Industrial Systems (SIS) Group. The successful candidate is expected to be creative and team-oriented, finding innovative solutions to new challenges and managing the software development life-cycle using agile approaches. The candidate will work closely with other developers, UX designers, data scientists and engineers to deliver quality systems in a timely fashion.

JOB DESCRIPTION

Key Responsibilities

The successful candidate is expected to contribute to Software Development activities in the research area of sustainability, where they will be working alongside a team of full-stack developers, scientists and engineers, to perform tasks including:

• Design and develop backend web applications and database schemas
• Design, develop, and deploy AI/ML models for production use
• Integrate AI capabilities into applications (APIs, microservices, or embedded components)
• Conduct model experimentation, optimization, and benchmarking
• Manage source codes and maintain workflows for version control
• Fix and troubleshoot code issues and technical issues
• Perform program coding & testing in compliance with approved life cycle methodologies
• Resolve application-based issues through debugging, research, and investigation

Qualification and relevant experience

• Bachelor’s or higher in Computer Science, AI, Data Science, or related field

• Working proficiency in some of the following areas:

1. SQL Databases, and ORMs (e.g. SQLAlchemy)
2. Python programming and common machine learning (ML) frameworks
3. Good understanding of data preprocessing, feature engineering, and model evaluation.
4. Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker)
5. Experience deploying AI models into production environments
6. Knowledge of REST APIs, Git, and CI/CD workflows

• Genuine interest in applying AI to solve sustainability challenges
• Curiosity, adaptability, and willingness to learn domain concepts like Life Cycle Assessment (LCA) and Techno-Economic-Assessment (TEA)
• Ability to communicate complex procedures to other colleagues
• Strong hands-on capabilities
• Diligent and possess a positive work attitude
• Good communication, writing and presentation skills

Role:

Conduct exploratory and applicative research in the development of new chemistry for precision cleaning, coating materials and processes.

Involve the optimization of precision cleaning, coatings and assist the process development, product trials, scale ups & trouble shooting, and failure analysis.

Responsibilities:

• Work with Engineers in the development of new chemistry, coating products and processes.
• Optimize the coating materials, formulations, processes, and products.
• Perform complex processing experiments, and / or lead the projects / studies.
• Adapt to new technologies, new designs of experiments and new laboratory techniques.
• Write experimental results and technical reports and present at group and R&D meeting.
• Interface with other Coating team personnel as well as global R&D Departments, Engineering, Production, laboratories, vendors, etc.
• Being responsible for internal technical support and external technical cooperation.
• Being responsible for the development and innovation of products, creating and implementing the POR, the standardization and quantitative management of the team.
• Doing technical analysis and quality analysis regularly, being responsible for avoiding and remedying the mistakes of products and guiding the supervision of unqualified products.
• Strong business partnering, influencing, communication, stakeholder alignment, people management skills.
• Any other duties as assigned

Requirements:

• Diploma or Degree in Mechanical / Material Engineering
• 1 year of working experience in production environment
• On job training includes 1 year attachment in Production line.
• Innovation mind & strong interest in laboratory work and passionate for innovation
• Initiative, good analytical skills & good report writing skills.
• Self-motivated team player and able to work with minimum supervision
• Good communication and interpersonal skills, able to work efficiently in a multi-cultural environment.
• Demonstrates excellent verbal and written communication skills in English and Mandarin will be an added advantage in order to liaise with associates.
• Required to travel overseas on business needs.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

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

1. Process Optimization & Workflow Development

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

2. Prototype Development Support

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

3. Experimental Support Tasks

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

Qualifications

Required

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

Preferred

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

Job Description

A research engineer position is available immediately at the Institute for Infocomm

Research (I2R), A*STAR, Singapore. The position will focus on developing data engineering,

data mining and machine learning pipelines for applications in digital health and precision

medicine.

Candidates should have strong expertise in two or more of the following areas:

-Data engineering, data analytics and data visualization

-Health informatics

-Statistics, probability or related areas in applied mathematics

-Artificial intelligence (AI) or machine learning (ML) approaches, as applied to

large healthcare datasets

-Ideal candidates should also have demonstrated interests or experience in one or more of the following areas:

-Analysis of large-scale real-world healthcare datasets (spanning electronic

health records, lifestyle, and -omics data)

-Extract Transform Load (ETL) processes, workflows and pipelines, as applied to

large or multimodal health datasets

-Application of the above processes to advanced AI/ML systems

Core responsibilities include (a) exploration, sensemaking and preprocessing of raw

disparate healthcare datasets, (b) design and development of data preparation and ETL

workflows and pipelines to leverage large multimodal healthcare datasets for AI/ML

solutions, (c) development of automated knowledge extraction and feature engineering

pipelines, and (d) translation to various downstream AI model development, inference and

evaluation tasks. The position entails working in a highly inter-disciplinary R&D team in

close collaboration with experts in machine learning, public health, precision medicine as

well as with clinicians, health ecosystem stakeholders, and government entities on

ambitious projects that have the potential to transform patient care and deliver improved health outcomes.

Appointments will be based in Singapore for 3 years duration.

Job Requirements

-Bachelors/Masters degrees in Computer Science, Statistics, Biomedical Engineering, Biomedical/Health Informatics, Computational/Systems Biology or other Data Science intensive fields

-Candidates should have strong data science, data engineering, and programming abilities, and working experience in two or more of the following areas:

1.      Large-scale data exploration, data engineering, data warehousing, and/or databases

2.      Biomedical/healthcare/clinical data preprocessing and analysis

3.      Knowledge extraction and feature engineering

4.      Machine learning methods (including application of state-of-the-art techniques)

-Deep interest in biomedical informatics, algorithm development, and experience with relevant healthcare applications highly encouraged.

-Ideally 2 years post degree completion.

-Experience in healthcare, corporate or application oriented research environments is a plus.

Competencies

-        Ability to work independently and as part of highly interdisciplinary teams

-        Quick and independent learner; able to acquire the necessary domain knowledge

-        Good communication skills (e.g., for presentations and reports)

-        Rigorous analytical thinking, knowledge of research methods

-        Agility in dynamic project environments with impact-oriented mindset

Skills

-        Strong programming abilities (e.g. Python, Bash, PySpark, R, C/C++, Java, Perl)

-        Experience with data preprocessing, data science, and data visualization tools (e.g., SAS, Tableau, PowerBI, Knime, WEKA, Jupyter notebooks etc)

-        Comfort within cloud-based data engineering and ML environments

-        Experience with biomedical informatics/healthcare data analytics, knowledge representation and model development frameworks

-        Familiarity with ML/DL frameworks (e.g., PyTorch or TensorFlow)

-        Exposure to text analytics, natural language processing, text mining desirable

-        Interest in MLOps/DevOps infrastructure and pipelines for deploying AI/ML solutions for healthcare applications is encouraged.  

-        Cross-disciplinary research experience would be advantageous.

Motivated applicants with significant domain expertise and strong programming skills who are looking to switch into AI-related fields and committed to building robust and scalable approaches for population-scale healthcare impact will also be considered.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.