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

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

We're looking for an enthusiastic and detail-oriented Learning & Development Coordinator to join our team in Visakhapatnam, India. In this role, you'll play a vital part in designing, implementing, and evaluating training and development programs that drive organizational growth and employee success. You'll work collaboratively across departments to identify training needs, source quality programs, and ensure our workforce is equipped with the skills and knowledge needed to excel. This is an excellent opportunity for someone passionate about fostering a culture of continuous learning and development.

• Design, implement, and evaluate training and development programs based on comprehensive Training Needs Analysis (TNA) conducted across departments
• Collaborate with professional bodies, training institutions, and external consultants to source, customize, and develop appropriate training programs
• Coordinate with all departments to prepare for Human Resources Management Operations Reviews and conduct self-audits for the Training Department
• Manage and monitor the Training Department's operational budget, ensuring strict cost control and adherence to financial guidelines
• Develop and support employees to maximize their potential and efficiency, while monitoring performance against current training philosophies and methodologies
• Maintain and manage an up-to-date Training Resources Center equipped with modern training facilities and materials
• Ensure the security and proper maintenance of all training facilities, equipment, and materials
• Assist the executive leadership in identifying and prioritizing training needs within each department
• Respond proactively to changes in Human Resources functions driven by industry trends, company strategy, or organizational needs
• Oversee the training and development of departmental trainers, ensuring they meet established quotas and maintain high performance standards
• Conduct regular audits, evaluations, and provide constructive feedback to departmental trainers on their performance and effectiveness
• Initiate and implement motivational programs to engage and recognize departmental trainers for their contributions
• Schedule and facilitate regular meetings with departmental trainers and their managers to discuss training matters and align on objectives
• Ensure departmental trainers submit and conduct monthly training schedules, maintaining transparency and accountability
• Utilize Learning Management Systems (LMS) and other training software to track program delivery, participant progress, and training outcomes

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

About Gain City

At Gain City, we have been delivering trusted expertise and quality solutions in consumer electronics, air-conditioning and home appliances since 1981. As a household name in Singapore, we take pride in our strong customer focus, innovative spirit, and commitment to service excellence. With a dynamic workforce and a network of stores and service centres island wide, we offer a vibrant and growth-oriented environment where employees are empowered to thrive, take ownership and make a real impact.

About the Role

We are looking for an experienced and commercially driven Research and Development (R&D) Director or Assistant Director or Senior Manager to lead the development and enhancement of consumer products for the Gain City portfolio.

This role will oversee the end-to-end product development lifecycle, from concept and feasibility through testing, sourcing, certification, and launch. The R&D Director will lead cross-functional product project teams to deliver innovative, reliable, and market-relevant consumer products, including new product introductions and enhancements to existing product ranges.

The ideal candidate is analytical, strategic, resourceful, and has a deep understanding of the product development lifecycle.

Responsibilities 

• Develop and implement R&D strategies, procedures and techniques, and architectures that align with the company's goals and objectives.

• Identify and propose innovative research and development projects

• Manage the R&D and product development budget, ensuring cost efficiency, value engineering, and margin optimisation

• Collaborate with other departments such as marketing and sales to integrate product development strategies

• Establish performance metrics, monitor and analyze the performance of the R&D projects

• Ensure compliance with industry regulations and quality standards in all R&D processes

• Stay abreast of the latest industry trends, technologies, and market conditions

• Report on R&D activities to senior management and stakeholders

• Build, lead, and mentor a high-performing product and R&D team, fostering a culture of innovation, accountability, and continuous improvement

• Present detailed reports of test results and presenting new product proposals to the company’s executive team

• Lead the product team and foster a culture of innovation and excellence

• Manage the development of new products from concept to production

• Collaborate with cross-functional teams to ensure the successful launch of new products
  

Qualifications and Requirements

• A minimum of a Bachelor’s Degree in Mechanical or Engineering or a related discipline

• A minimum of 10 years of proven experience as an R&D Director or similar role in the related field

• Strong knowledge of the product development lifecycle and project management methodologies

• Excellent leadership, team management, and communication skills

• Strong analytical, problem-solving, and decision-making abilities

• Ability to stay informed about the latest industry trends and technologies

• Strong understanding of budgeting and performance metrics

• Good knowledge of relevant regulatory requirements, Singapore standards and industry practices.

• Good communication and interpersonal skills

• Resourceful and proactive, able to work around ambiguity.

• Able to work independently and in a fast-paced environment

What We Offer

At Gain City, we are committed to the growth and development of our employees. You will be offered various learning and development opportunities and a collaborative, forward-thinking and growth-focused work environment to thrive in your career. You will also receive a comprehensive benefits package.

If you are passionate about empowering people, fostering organizational growth and leading impactful R&D strategies, apply now to be a part of our growing team!

Note

• 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 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.

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.

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.