Total 293 process development engineer job vacancies in Education / Training category in The Philippines

Our client is a leading player in construction industry. They are looking for a Learning & Development Executive to join their HR Team, in hopes of developing the current high performing team. They are located in the North area.

Duties of Learning & Development Executive:

• Identify learning needs and develop training plans with business units.

• Manage end-to-end L&D activities, including coordination, evaluation, grants, and vendor payments.

• Analyse training data to support decision-making.

• Support succession planning and talent development initiatives.

• Oversee internships, attachments, scholarships, and onboarding programmes.

• Ensure compliance for training grants and maintain accurate training records.

• Handle training-related audits, surveys, and ad hoc HR projects.

Requirements:

• Diploma / Degree in Human Resource Management or related

• Min 2 - 3 years experience of training administration/ L&D experience

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/CV.

We regret that only shortlisted candidates will be notified.

Email Address: jobs@recruitpedia.sg
EA License No: 19C9682
EA Personnel No: R22104769
EA Personnel Name: Ong Boon Kiet (Travys)

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.

Role Overview

We are seeking an experienced Special Education Teacher who can integrate seamlessly into our multidisciplinary team and make an immediate instructional impact. Reporting to the Team Leader for Education, the successful candidate will be responsible for teaching children with learning difficulties, addressing both behavioural and academic needs, and delivering high-quality education aligned with the organisation’s philosophy, standards, and guidelines.

Key Responsibilities

1. Programme Delivery & Implementation

• Deliver educational programmes in accordance with the organisation’s philosophy, curriculum framework, and established guidelines.

2. Student Assessment & Progress Monitoring

• Conduct periodic assessments to evaluate student progress and ensure alignment with agreed learning objectives.

• Use assessment data to inform instructional planning and intervention strategies.

3. Professional Practice & Standards

• Execute all teaching and related duties professionally and in compliance with organisational policies and ethical standards.

4. Feedback, Communication & Collaboration

• Provide timely and constructive feedback to the Director for Education and parents regarding student progress, challenges, and learning outcomes.

• Collaborate with management and colleagues to improve instructional practices and operational processes.

5. Teaching Materials & Lesson Documentation

• Develop and customise teaching materials tailored to each student’s individual goals and learning needs.

• Document lesson plans, teaching strategies, and student outcomes after each session.

6. Individualised Education Plans (IEPs)

• Design, implement, and review Individualised Education Plans (IEPs) for each student.

• Ensure IEP goals are measurable, achievable, and reviewed regularly.

7. Documentation & Records Management

• Maintain accurate, organised, and up-to-date documentation of all student-related records, assessments, and reports.

8. Research & Professional Development

• Contribute to research initiatives and continuous improvement of teaching methodologies and intervention strategies.

• Stay informed of evidence-based practices in special education.

Technical Skills & Core Competencies

1. Teaching & Behaviour Management

• Demonstrated competence in implementing instructional and behavioural management strategies for children with learning difficulties.

2. Parent Engagement & Problem-Solving

• Strong ability to communicate effectively with parents, address concerns, and collaborate on strategies to support the child’s development.

3. Application of Psychological and Educational Theories

• Ability to apply relevant psychological and educational theories to practical teaching and intervention contexts.

Qualifications & Experience

• Minimum Experience: At least 2 years of experience in Special Education or a related field.

• Traineeship Pathway:

  • Candidates without prior experience, including fresh graduates and A-level students, may apply for a 6-month competency-based traineeship programme, with the opportunity to transition into a full-time role upon successful completion.

Why Join Us

If you are passionate about making a meaningful difference in the lives of children with learning difficulties and are committed to delivering high-quality, evidence-based education, we welcome your application.

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.