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

Roles and responsibilities:

The Metals and Ceramic Forming Group is looking for an innovative and motivated Senior Research Engineer with experience in powder-bed inkjet and/or laser powder-bed fusion additive manufacturing (AM) processes to join our team. The candidate will be attached to the Additive Innovation Centre (AIC), hosted in SIMTech and supported by the National Additive Manufacturing Innovation Cluster (NAMIC), to bridge the R&D activities within the Group with the industry solutions sought by companies engaged under AIC.
This role offers opportunities to contribute to cutting-edge AM research, industry collaborations and technology development, with a strong focus on accelerating the adoption of AM towards pilot batch production and industrial deployment. As such, cross-sectorial industrial project experience will be highly advantageous.
There will be continual opportunities to grow and learn, as well as expand and improve the current set of skills through involvement, together with the team, in industry and competitively funded projects related to various AM technologies.

The roles and responsibiltiies include the following areas:

• Lead and deliver projects involving the development of AM process recipes for powder-bed inkjet, laser powder-bed fusion, and related industrial applications.
  • Operate additive manufacturing powder-bed printing systems and related post-processing equipment for end-to-end additive manufacturing solutions.
  • Perform metallic material testing, sample preparation, microstructural characterization and defect analysis for the fabricated parts.
  • Prepare technical reports and deliver project progress updates.
• Lead and manage project resources, lab operations, procurement, safety compliance and 5S housekeeping standards.
• Support outreach and knowledge sharing through seminars, training and industry events.

Job requirements:

• Bachelor"s Degree in Mechanical Engineering, Material Science, Materials Engineering or a related discipline.
• Minimum 3 years of experience in additive manufacturing.
• Experience with process parameters development and metallic material characterization.
• Proficiency in engineering CAD/CAM software such as SolidWorks, AutoCAD is preferred.
• Programming skills (e.g. Python, MATLAB, C++) are advantageous.
• Strong critical thinking, problem-solving, and hands-on technical abilities.
• Effective communication skills and ability to collaborate with team members and industry partners.
• Independent, resourceful and adaptable to a dynamic work environment.

As Singapore’s University for Industry, SIT works closely with industry partners 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 position is to deliver on a research project to develop an End-to-end misinformation and disinformation protection, awareness and mitigation pipeline. We will be recruiting a research engineers or fellows, as part of a wider project, to conduct research on: LLM/VLM, media comparison, AI-assisted explainability. The need is for a real-time system, so efficient coding is important.

Key Responsibilities:
• Participate in and manage the research project with Principal Investigator (PI) Ian McLoughlin, Co-PI Tong Rong and the research team members to ensure all project deliverables are met. 
• Undertake research within your domain, including keeping track of state-of-the-art work. Develop the code, evaluate and test. Write academic publications.
• Deliver solution-ready demonstration code.
• Interact well within the team and the customers.
• Be self-directed to fulfil the project requirements.

Job Requirements:
• Competence in working with languages such as C along with  Python-based coding and AI development.
• Have a degree in Computer Science/Computer Engineering. Possessing a Master’s or PhD degree will definitely be advantageous.
• Knowledge of machine learning, pytorch, huggingface etc...
• Knowledge of image processing is required.
• Ability to effectively and efficiently utilise industry-standard Linux-based computers for AI.
• Experience of authoring good quality academic publications.
• Manage undergraduate research assistants (if appropriate).
• Liaise with customers and collaborators in A*STAR and NTU, as well as collaborators in the UK and China.

Key Competencies:
• A self-directed worker who believes in continuous learning and development
• Proficient in academic writing 
• Possess good critical thinking skills
• Show strong initiative and take ownership of work
• Interest in AI, machine learning, image/audio processing

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

Research Engineer, Acoustic Research Laboratory, Tropical Marine Science Institute

The Acoustic Research Laboratory (ARL) undertakes research projects in the area of underwater acoustics and marine robotics. The Research Engineer will work across several projects in the lab to support the research teams on preparing & planning field experiments at sea, helping conduct the experiments, and aid with data curation and processing. Specific tasks will including preparation & testing of field equipment, permitting, field logistics, coordination with external parties (boats, vendors, etc), operation of equipment at sea, collection and curation of data, preliminary data quality checks, etc

Qualifications

- Bachelor's or equivalent degree in a relevant branch of Engineering or Science
- Interest in marine science / engineering
- Willingness to learn new skills
- Willingness to work in the field (at sea)
- Ability to work well with team members & external vendors
- Good 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

A Research Fellow 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 Fellow 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.

Job Requirements

1.    Possess a Ph. D Degree in Electrical Engineering with strong knowledge in semiconductor device technology and process. 
2.    Strong knowledge in semiconductor device physics. 
3.    At least 4 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.    At least 5 strong publications as the first authors in top conferences and journals. 
7.    Excellent academic track record from well-recognized universities. Excellent course work with strong academic performance. 
8.    Excellent communication skills as he/she is required to publish and to present results at conferences and journals independently. 
9.    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. 
10.    Be committed to work effectively and strong desire to make a difference in pushing the frontiers of semiconductor technology. 
11.    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

A Research Fellow 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 Fellow 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.

Job Requirements

1.    Possess a Ph. D Degree in Electrical Engineering with strong knowledge in semiconductor device technology and process. 
2.    Strong knowledge in semiconductor device physics. 
3.    At least 4 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.    At least 5 strong publications as the first authors in top conferences and journals. 
7.    Excellent academic track record from well-recognized universities. Excellent course work with strong academic performance. 
8.    Excellent communication skills as he/she is required to publish and to present results at conferences and journals independently. 
9.    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. 
10.  Be committed to work effectively and strong desire to make a difference in pushing the frontiers of semiconductor technology. 
11.  Open to Fixed Term Contract.

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 AI for Software Engineering. The candidate will be part of an active research team to be supervised by Prof. David Lo from School of Computing and Information Systems, Singapore Management University.

• Design and implement AI for software engineering solutions.
• Conduct evaluations and/or user studies to validate the effectiveness of the algorithms and tools.
• Write and publish research papers and present them to reputable academic conferences.
• Package the documents, implementation code, evaluation results of the project for public release.
• Liaise with other team members of this project to realize the overall goal of the project.
• Other duties as assigned.

• Minimum Master degree in Information Systems / Computer Science/ Information Technology / Security / Informatics Engineering / Computer Engineer / Software Engineering.
• Publication of at least a first-authored paper in reasonable AI or software engineering or cybersecurity conferences/journals (CORE A or higher).
• Excellent knowledge about software engineering and artificial intelligence.
• Highly fluent in Python and Java.
• Competent in designing and implementing algorithms and data structures.
• Excellent oral and written communication skills.
• Excellent analytical, technical and problem-solving skills.
• Self-motivated individual who can work independently and also collaboratively with team members.
• Able to work under strict deadlines.
• Research capability as evidenced by tangible deliverable i.e., at least a first-authored paper in CORE A or better conference / journal in the field of AI or software engineering.

#LI-JN2

Job Descriptions:

We seek a passionate Research Engineer to join a multidisciplinary team working on the development of novel optoelectronic quantum devices for applications in quantum sensing. The project is a collaborative effort with a a local agency partner.

Responsibilities:

• Assist in the design, fabrication, and measurement of optoelectronic quantum devices, such as single-photon detectors, based on low-dimensional van der Waals materials.
• Establish fabrication recipes, protocols, and material processing capabilities within the project and the research group.
• Lead the measurements and analysis of the experimental data. Drive the engineering and optimization of the device performance.
• Assist in the set up measuring capabilities, including a cryostat for electrical, optical, and magneto-transport measurements, and establish measurement protocols.
• Oversee equipment maintenance and capability upgrade and user training.
• Lead the reporting and communication with all involved stakeholders.
• Assist in the filing of technology disclosures and technical documentation.
• Assist in the preparation and publication of research manuscripts

Requirements:

• Bachelor or Master in Physics, Applied Physics, Material Science, Electrical Engineering, or any related field.
• Expertise in the fabrication of van der Waals heterostructures and handling air-sensitive 2D materials.
• Expertise in the fabrication and measurements of optical devices based on low-dimensional materials.
• Expertise in nanofabrication techniques such as lithography, thin film deposition, plasma etching, and 2D material processing.
• Expertise in optical setups and in performing experiments in quantum and/or nonlinear optics in the visible and near-IR range.
• Expertise in single-photon experiments.
• Expertise in measurements, analysis, and interpretation of the optical and electro-optical experimental data.
• Expertise in cryogenic techniques and in performing measurements at low temperatures.
• Experience in software programming (LabVIEW and/or Python).
• Demonstrated ability to independently plan, execute, and report on a research study.
• High-level communication skills and the ability to network effectively and interact with stakeholders.
• Demonstrated ability to work in a team and collaborate across disciplines.

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.

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

Job Description: The candidate will participate in the research and development of multimodal multilingual large language model, implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of multimodal foundation model. He/She will need to translate and adapt the model to real-world problem and is expected to work as a team in problem analysis design solutioning, conduct evaluation to achieve stat-of-the-art performances for different benchmark. 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
  - 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 will participate in the research and development of multimodal multilingual large language model, implement deep learning algorithms and propose novel solutions that optimize the computational efficiency for training and inference of multimodal foundation model. He/She will need to translate and adapt the model to real-world problem and is expected to work as a team in problem analysis design solutioning, conduct evaluation to achieve stat-of-the-art performances for different benchmark. Strong problem solving, coding and communications skills are expected.

 Job Requirement:

  - BSc/MSc in ML, NLP, background in speech, national language understanding
- At least 5 years of experience
  - Proficient programming skills, familiarity with Linux
  - 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.

School of Electrical & Electronic Engineering (EEE) is seeking a research engineer (RE) passionate about spearheading the discovery of new physics in emerging materials, especially pertaining to the development of compact, high-brightness X-ray sources. In particular, the RE will explore techniques to miniaturize particle accelerators in free-electron-driven X-ray sources. Our objective is to realize features currently available only in large scale X-ray facilities in a table-top setup. Compact, high quality X-ray sources have potential applications in industrial inspection, medical imaging and treatment, forensics, security inspection, and would also have a transformative impact on fundamental science (where X-rays have been responsible for >25 Nobel Prizes in Physics, Chemistry and Physiology/Medicine). Our research takes place at the boundary of quantum optics, particle waveshaping and nanomaterials. Read more about our work at our group website https://sites.google.com/view/ljwgroup.

Key Responsibilities:

• Discover new phenomena and develop new applications pertaining to the miniaturization of particle accelerators and X-ray sources

• Assist in fundamental research on electron-photon interactions in emerging materials and nanostructures

• Publish in world-class journals on topics related to nanophotonics and quantum physics

• Assist in supervision of undergraduate students

Job Requirements:

• Bachelor’s in physics, engineering, mathematics or related field

• Excellent English verbal/written communication skills

• Strong academic credentials and keenness to keep learning

• Passion for fundamental research and discovering new physics

• Highly productive and self-motivated in both independent work as well as teamwork

• Prior research experience on related topics is a bonus

We regret that only shortlisted candidates will be notified.

About the client:

Our client is a reputed MNC

Responsibilities:

• Design multi‑agent systems for surveillance workflows using LangChain / LangGraph ,Crew AIor equivalent.
• Architect agentic RAG pipelines (hybrid retrieval, tool‑use, memory, policy control) with vector stores and knowledge graphs(neo4j or equivalent) for complex reasoning.
• Define semantic models (ontologies, entity/event schemas) and build knowledge graphs that connect trade, comms, user, and reference data.

Full‑Stack Development

• Build Python (FastAPI/Pydantic) microservices and REST/gRPC APIs that integrate LLM services, retrieval layers, and surveillance systems.
• Develop modern frontends and AI UIs using Streamlit/Gradio (and/or React if needed) for analyst workflows and explainable insights.
• Implement CI/CD pipelines, automated tests (unit/integration/load), and secure packaging/deployment across environments.

Data & RAG Engineering

• Design and operate high‑scale vector databases (Pinecone, Milvus, Weaviate) with optimal indexing strategies, chunking, embeddings, and TTL policies.
• Build data engineering pipelines for modeling, ingestion, feature extraction, and entity resolution across trades and communications.
• Construct semantic search and query planning for multi‑source reasoning.

LLMOps & Observability

• Implement LLM observability, evaluation, and monitoring (LangSmith, Arize Phoenix) including prompt/version tracking, drift detection, and error taxonomies.
• Define evaluation harnesses for faithfulness, toxicity, bias, hallucination, and task‑specific scoring (precision/recall for surveillance contexts).
• Optimize cost, latency, and reliability; benchmark OpenAI and OSS models (Llama 3, Mistral) for target tasks.

Must‑Have Qualifications

• Trade Surveillance domain experience deep familiarity with Market Abuse Regulation (MAR), FinCrime/AML, and Compliance use cases—e.g., spoofing, layering, front‑running, market manipulation, comms surveillance, alerting, and case management.
• GenAI / Agentic AI: Hands‑on with LLM integration & prompt engineering, agentic patterns, and RAG architecture end‑to‑end.

• Knowledge of vector databases and embedding strategies.

  Familiarity with LangChain / LangGraph or equivalent orchestration.

• ML : LLM post-training techniques, Custom Cuda kernels for specific architectures, Distributed training infrastructure

Skills/Requirement:

• Master’s in Computer Science, Software Engineering, Data Science, or related field (or equivalent practical experience).
• 9+ years in backend/full‑stack development with Python (FastAPI, Pydantic), strong system design, testing (pytest), and API design (REST/gRPC).
• Microservices, caching, message queues, CI/CD (GitHub Actions/GitLab/Azure DevOps), and secure coding practices.
• Multi Agent System Design & Orchestration
• Full Stack AI Integration (Frontend to Backend
• Multi Cloud AI Infrastructure (AWS Bedrock, Vertex AI, Azure AI, Snowflake Cortex)
• Advanced Prompt Engineering & LLM Fine tuning, Agentic Retrieval Augmented Generation (RAG)
• Enterprise Application Integration & AI Orchestration
• Edio/Edgio & Render (Deployment & Hosting) or similar
• Cloud Platforms: AWS Bedrock, Google Vertex AI, Azure AI Studio
• Data Engineering:
• Strong SQL/NoSQL schema design, and data modeling; building scalable ingestion and transformation pipelines (batch/streaming).
• Experience with PySpark and streaming data processing (e.g., Kafka or equivalent) and feature extraction for retrieval/graph enrichment.
• APIs & Microservices: Excellent understanding of RESTful APIs and microservices patterns.
• Security & Governance: Understanding of AI safety, guardrails, PII/PHI protection, and auditability in regulated environments.

Nice‑to‑Have Qualifications

• Frameworks/Tools:LlamaIndex, semantic routers, retrieval re‑rankers; LangSmith / Arize Phoenix for LLMOps.
• Cloud: Production experience with AWS Bedrock, Vertex AI, Azure AI, Snowflake Cortex.
• Containerization/Orchestration:Docker, Kubernetes.
• Open‑Source: Contributions to AI/RAG/agentic libraries. Search & Semantics: Semantic search principles, knowledge graph tooling (Neo4j/Neptune/TigerGraph), ontology/OWL/RDF familiarity.
• Languages: Rust (for high‑performance services) alongside Python.

Interested candidates, who wish to apply for the above position, please send in your resume to lakshmi.prasanna@persolapac.com

We regret to inform that only shortlisted candidates will be contacted

PERSOL Singapore Pte Ltd
EA License No. 01C4394
EA Reg No: R1551772 (Kankanala Lakshmi Prasanna)

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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 2 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.

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

For more details, please view https://www.ntu.edu.sg/erian

We are looking for a Engineer for supporting the development, testing, and validation of battery stacks and associated test rigs. The role focuses on developing test rig, electrical design, instrumentation, and performance testing to enable reliable stack characterization and continuous improvement.

Key Responsibilities:

• Support development and electrical integration of battery stacks for laboratory and pilot-scale systems

• Design, assemble, and maintain electrical test rigs for stack performance, durability, and safety testing

• Conduct stack testing including OCV measurement, charge–discharge cycling, and performance analysis

• Prepare and execute test procedures, record data, and generate detailed test and validation reports

• Design and review electrical schematics, wiring diagrams, and panel layouts for stack test setups

• Select, install, and calibrate sensors for voltage, current, temperature, pressure, and flow monitoring

• Support FAT activities related to stack test rigs and subsystem validation

• Troubleshoot electrical, instrumentation, and integration issues during stack testing

• Support quality processes including QC, IPQC, and NCMR related to stack components and test setups

• Collaborate with R&D, mechanical, and controls teams to improve stack design and test methodologies

• Support commissioning and operation of stack test rigs in lab and pilot environments

Job Requirements:

• Bachelor’s / Master’s degree in Electrical/Mechanical Engineering or related field

• 1–3 years of experience in battery stack testing, R&D labs, or electrical test systems

• Good written and oral communication skills

• Hands-on experience with electrical test rigs, instrumentation, and power supplies

• Proficiency in AutoCAD for test rig design and  electrical for schematics and wiring diagrams

• Knowledge of flow  battery systems, power electronics, and control systems

• Familiarity with PLCs, automation, and industrial sensors is an advantage

• Strong documentation, testing discipline, and problem-solving skills

We regret to inform 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:

  - 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.