Total 539 infrastructure engineer job vacancies in Education / Training category in Singapore

About Avi-Go

Avi-Go is a leading one-stop platform in the business aviation sector, seamlessly connecting charter brokers, operators, and suppliers worldwide. Avi-Go's cutting-edge technology fosters efficient communication and transactions among all stakeholders, enhancing convenience and efficiency in private jet travel. Based in Singapore, our small but experienced team values practicality, creativity, and innovation.

About the Position

We are seeking highly skilled and motivated AI/Machine Learning Engineers to join our dynamic team.

This is an exciting opportunity for individuals passionate about making a significant impact in a fast-paced, early- stage startup. You should be comfortable thriving in a challenging and constantly evolving environment.

Key Responsibilities

• Lead research and development efforts in advanced AI fields, including Large Language Model applications, AI Agents, Conversational AI (Chatbots), Intelligent Recommendation Systems, Business Intelligence (ChatBI), Digital Human Technology and Deep Learning Architectures.
• Own and develop core product features related to artificial intelligence and machine learning.
• Maintain and optimise our codebase for peak performance.
• Conduct code reviews and debugging to ensure high-quality deliverables.
• Communicate complex technical concepts clearly and effectively in either English or Mandarin.

Why Join Us?

• Impactful Work: Contribute to building innovative AI solutions in the business aviation industry.
• Collaborative Culture: Be part of a supportive, creative, and ambitious team.
• We value passion, innovation, and the willingness to learn. If you're ready to take on new challenges and grow with us, we'd love to hear from you!

What is in it for you:

• Job stability and leadership support of development
• Affordable health, dental and life insurance plans
• Up to 21-day holiday which increases with length of service
• Additional paid leave for wedding, and more
• Fitness & Education Subsidy
• Long Service Award
• Pantry Benefit

Duties:

• Start from the design, development, building and qualifying of various lab instruments, the major focus is in Sample Preparation equipment including our featured FastPrep family (homogenizer).
• Develop and fabricate test equipment in line with test specifications under the direction and guidance of direct supervisor.
• Execute tests using test equipment that measures temperature, electricity, light, flow, pressure, strain, force, distance, time, noise, weight etc.
• Collect and analyze test data/results, document results and outcomes.
• Support the design and fabrication/assembly of both working and visual prototype models. Materials include foam, plastics, and various metals.
• Analyze equipment failures and factory work stoppage problems and provide solutions
• Fabricates, repairs, improves designs of and constructs mechanical and electro-mechanical equipment
• Coordinate with outside calibration vendors effectively
• Maintains detailed and up to date test data in laboratory notebook and active test logs
• Support manufacturing ramp up, and design transfer during product development

Requirement:

• Master's Degree and above in Electrical Engineering or Mechanical Engineering
• 5 years of hands-on Mechanical and Electrical experience.
• Possess broad base of knowledge with understanding and skills in the following areas: Electrical, Fabrication, Tool Making, Machining.
• Must be proficient in the use of machine shop equipment and all hand tools including saws, sanders, drills, grinders, press, brake, shear, lathe, milling machine.
• Able to operate test equipment that measures temperature, electricity, light, flow, pressure, strain, force, distance, time, noise and weight.
• Can work from prints, sketches, written and verbal instructions.
• Reads wiring/electrical and piping schematics and engineering drawings.
• Electrical experience/training in use of and design of AC and DC circuits.
• Piping experience and ability to use electrical test equipment and measuring tools necessary.
• Self-motivated, team player with excellent communication and problem solving skills
• Experience and knowledge of the following areas preferred:

1. Rapid Prototyping
2. Testing and Design Controls
3. Installation
4. Design

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 successful candidate will work with Barbaros Oezyilmaz and Dr Toh Chee Tat on for lab support, sample preparation and characterization under a project on Synthesis and application of atomically thin amorphous materials on the surface of 2D semiconductors as a protective and seed layers for other

The main responsibilities of the position include:

1. Synthesis of multilayer MAC films on the surface of 2D crystals, insulators and other substrates. Their analysis by Raman spectroscopy, AFM, Ellipsometry.
2. Test of the application of ML-AC as a seed layer for ALD grown insulators.
3. Perform impedance spectroscopy to probe dielectric properties of dielectrics deposited on the surface of MAC.
4. Data analysis and physical interpretation of the results.
5. Manage lab safety, equipment maintenance and operations.
6. Meet key deliverables for industry collaboration.

Qualifications

Qualifications / Discipline:

Bachelor's or Master's degree in materials science, microelectronics, or a related field.

Skills:

Strong verbal communication skills in English, ability to solve problems and generate new ideas

Experience:

1. One year hands-on experience in lab
2. One year internship/research assistant or any equivalent in lab
3. First-hand experience with operation and maintenance of CVD reactors and vacuum systems
4. Experience with electronics and the use of clean room is desirable

ROLE:

A*Star-IME is currently working on establishing a hybrid fabrication platform for 150mm and 200mm Silicon Carbide (SiC) power MOSFETs as a new pillar on Singapore"s Future of Microlectronics in wide-bandgap. The main objective of this SiC RnD program is to advance 200mm SiC technologies in various areas, such as epitaxy, device design, process integration & fabrication, and power module packaging. The ultimate aim is to drive disruptive innovations in power device research, specifically focusing on >1.7KV power MOSFETs. These innovations will have significant applications in enhancing automotive technologies, vehicle electrification, safety measures, sustainable energy grids, data centers, and industrial & aerospace automation. Key aspects for this role to be successful include the development and integration of several process modules, such as gate oxidation, implantation, implant activation, layout design verification, lithography, and ohmic contact formation. We are actively looking for individuals with extensive industry experience in device physics and process integration to join our team. The candidate will contribute to process integration, E-test and module process related data analysis, yield enhancement, and device physics.

RESPONSIBILITIES:

• Lead develop process technology for SiC power MOSFETs and ensure it meets the requirements for prototyping manufacturing

• Collaborate with advanced process module development team to establish a process flow for fabricating specific MOS devices

• Responsible to develop and improve test structures that enable fast and rigorous characterization of process

• Accountable to improve device performance and yield through the design, execution, and analysis of experiments for each specific device and product

• Work with cross-functional teams to minimize defects and address technical and yield concerns

• Drive CIP (Continuous improvement plans) to deliver integrated process modules and specific device per project goals

• Make decisions regarding the delivery of process, active and passive devices to multiple customers

REQUIREMENTS:

• MS/PhD Degree in Electrical Engineering or related field

• >3 years industrial experience for MOSFET process integration and device physics

• Proactive, self-motivated, and results-oriented professional with the ability to make efficient contributions to and lead technical discussions

• Extensive expertise in material and process integration

• Comprehensive understanding of semiconductor materials and the physics of MOSFET devices

• Strong communication skills to effectively communicate information about module integration for device fabrication and with customers

• Excellent analytical skills for interpreting process and device data, coupled with strong presentation abilities

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

Job Description:

Candidate will be part of Far-Backend Of Line (Far-BEOL) team of process module engineers, advancing specialty technologies at IME. His or her main roles and responsibilities include:

• Develop and support Chemical Mechanical Planarization (CMP) unit process capabilities for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications.
• Deliver innovations involving process methodologies, materials, or approach, and generate intellectual property related to various aspects of CMP.
• Participate as team member with process integration teams to actively support CMP process development, optimization and troubleshooting for various industry and grant projects.
• File patents/know-hows on new development activities.
• Publish research findings in prestigious journals and conferences.

Job Requirement:

• Masters with specialization in Electronics / Microelectronics / Materials Engineering / Chemical Engineering / Materials Science/ Chemistry / Physics or equivalent.
• Minimum 5 years of experience in CMP technologies, preferably in an industrial setting.
• Prior hands-on experience working on industry-scale 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara platforms), with in-depth technical knowledge in process development, materials, and inline process control related to CMP.
• Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor technology platforms would be a plus, but not mandatory.
• Strong experimental design (DOE) and data analysis skills is preferred.
• Good interpersonal and strong demonstrated skills in collaborating with internal and external stakeholders.
• At least 2 years of demonstrated experience in managing projects of moderate complexity is preferred
• Good analytical skills and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
• Self-driven with strong interest in next-generation applications of CMP technologies and industry trends.

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

• Literature review.
• Algorithm and signal processing pipeline design.
• SNN design and implementation.
• Data analysis and evaluation.
• Writing papers.

• Minimum Bachelor's degree in Computer Science, Information Technology, Information Systems or closely related disciplines.
• Minimum 0.5 years of relevant research experience in SNN or signal processing.
• Basic knowledge/Proficiency in programming software/languages such as Python and C will be positively considered/ is required.
• Demonstrated experience and know-how on developing DNN or SNN.
• Experience with at least one programming software/languages, such as Python or C is preferred.
• Excellent working knowledge of signal processing.
• Good analytical, technical and problem solving skills.
• Applicants with research publications in general AI area will be advantageous.
• Self-motivated individual who can work independently and also collaboratively with team members.

#LI-JN2

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

• Processing and cleaning of datasets
• Implementation of research algorithms/tools/systems
• Validation and testing of the implementation
• Documentation of the implementation and results

• Minimum Bachelor's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Proficiency in programming languages (such as Python) is required
• Good data management skills• Good working knowledge of machine learning and AI
• Experience with visualization technologies is strongly preferred
• 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.

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 develop/produce/investigate obfuscation algorithms that will take advantage of quantum primitives. The techniques developed will aid in obfuscating quantum programs, quantum-classical hybrid programs and classical programs. Candidate should have good understanding of reverse engineering techniques, assembly language concepts and instructions and python programming. Candidate should have some understanding of quantum computing and cyber security. Prior experience in implementing quantum obfuscation techniques is an added advantage.

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:

1. Design quantum obfuscation techniques for data and code obfuscation
2. Implement the designed algorithms and integrate into an existing quantum obfuscation platform.

• 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.

Job Requirements:

• Have relevant competence in the areas of programming, reverse engineering and low level languages.
• Have a B-Engg or B-Tech degree in Computer Science, Computer Engineering, Information Security or Electronics and Communication Engineering from a reputable University. Possessing a Master’s or PhD degree will be advantageous.
• Knowledge of quantum computing and vulnerability analysis is desirable.
• Prior experience in implementing quantum obfuscation techniques is desirable.
• Prior experience in publishing in IEEE/ACM journals or conferences is desirable.
• Should have proficiency in Qiskit and Python programming.
• Should have good mathematical and analytical abilities.
• Should have excellent written and verbal communication skills in English.

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.

Major Challenges:

• Experimental analysis of the performance of quantum obfuscation due to lack of hardware resources.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore (NUS) is looking to recruit a Research Engineer to work on a research project developing an application solution for structural BIM submissions. This project aims to develop a solution that automatically checks the compliance of structural BIM submissions against existing Singapore design codes.

The candidate is expected to work on designing the overall system, liaising with vendors, lead a team of interns, and developing advanced techniques to support the system.

Job Requirements

• Possess a recognised bachelor’s in engineering, or related field from a reputable university.
• At least a post-graduate diploma or degree in computing or related fields.
• At least one year’s experience in a software development role.
• Experience with using AWS Services, specifically AWS Amplify, Amazon S3, AWS Cognito, AWS AppSync, AWS Lambda, Amazon API Gateway, Amazon Elastic Container, AWS Serverless Application Model.
• Experience with NoSQL and Graph Databases specifically MongoDB and DynamoDB.
• Experience with Git and Git related automation workflows.
• Experience with developing Entity Relationship Diagrams, Activity Diagrams, Use Case Diagram, and relevant Software Development Life Cycle processes.
• Experience with CSS Frameworks, specifically Tailwind CSS.
• Experience with Building Information Modeling and Built Environment Related Solutions.
• Experience with “Three.JS” for 3D Model Viewer Development for Web Applications.
• Experience with “OpenBim Component” (Typescript Implementation).
• Strong knowledge on Industrial Foundation Classes Schema (IFC) and related OpenBIM Standards.
• Civil Engineering/Built Environment related experience, practices and workflows will be an added bonus.
• Strong written and oral communication skills and able to present results clearly.
• Open to fixed-term contract

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore (NUS) is looking to recruit a Research Engineer to work on a research project developing an application solution for structural BIM submissions. This project aims to develop a solution that automatically checks the compliance of structural BIM submissions against existing Singapore design codes.

The candidate is expected to work on designing the overall system, liaising with vendors, lead a team of interns, and developing advanced techniques to support the system.

Job Requirements

• Possess a recognised bachelor’s in engineering, or related field from a reputable university.
• At least a post-graduate diploma or degree in computing or related fields.
• At least one year’s experience in a software development role.
• Experience with using AWS Services, specifically AWS Amplify, Amazon S3, AWS Cognito, AWS AppSync, AWS Lambda, Amazon API Gateway, Amazon Elastic Container, AWS Serverless Application Model.
• Experience with NoSQL and Graph Databases specifically MongoDB and DynamoDB.
• Experience with Git and Git related automation workflows.
• Experience with developing Entity Relationship Diagrams, Activity Diagrams, Use Case Diagram, and relevant Software Development Life Cycle processes.
• Experience with CSS Frameworks, specifically Tailwind CSS.
• Experience with Building Information Modeling and Built Environment Related Solutions.
• Experience with “Three.JS” for 3D Model Viewer Development for Web Applications.
• Experience with “OpenBim Component” (Typescript Implementation).
• Strong knowledge on Industrial Foundation Classes Schema (IFC) and related OpenBIM Standards.
• Civil Engineering/Built Environment related experience, practices and workflows will be an added bonus.
• Strong written and oral communication skills and able to present results clearly.
• 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

• Research on tackling the research problems of SAR image recognition and object detection (semantic segmentation included).
• Develop the state-of-the-art algorithms of SAR image recognition models and publish papers.
• Implement the systematical toolbox using the trained SAR models.
• Demonstrate and visualize the research results in regular meetings with DSO Lab.

• Minimum Master's degree in Computer Science, Information Technology, Information Systems or closely related disciplines.
• Minimum 3 years of relevant research experience in computer vision and deep learning.
• Proficiency in programming languages such as c++ and python is required.
• Demonstrated experience and know-how on pytorch and tensorflow.
• Excellent working knowledge of SAR image processing.
• Good analytical, technical and problem solving skills.
• Applicants with research publications in incremental learning, few-shot learning, and long-tailed image recognition topics will be advantageous.
• Self-motivated individual who can work independently and also collaboratively with team members.

#LI-JN2

Position Summary:

Provides technical expertise and oversight of the development of integrated software algorithms to structure, analyze and leverage data in product and systems applications in both structured and unstructured environments. Directs the use of machine language and statistical modeling techniques such as decision trees, logistic regression and Bayesian analysis to develop and evaluate algorithms to improve performance, quality, data management and accuracy. Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations. Adapts machine learning to areas such as virtual reality, augmented reality, artificial intelligence, robotics and other products that allow users to have an interactive experience.

Changes to individual responsibilities may occur due to business needs and other related duties may be assigned.

Position Responsibilities:

• Lead the development of novel deep learning for deciphering the human genetic code, diagnosing pathogenic genetic variants by combining information from detailed clinical phenotypes and medical records, protein structures, and genomic data.
• Lead scientific collaborations with Illumina’s academic, nonprofit, and industry partners, and lead a multidisciplinary team focused on achieving these aims.
• Publish and disseminate methods and findings and incorporate them into software products to the benefit of the wider genetics community.

Listed responsibilities are an essential, but not exhaustive list, of the usual duties associated with the position. Changes to individual responsibilities may occur due to business needs.

Position Requirements:

• Expert in deep learning, statistics, proteinomics and/or genomics
• Possesses strong communication skills, with the ability to present complex scientific ideas to clinical, scientific, and industry audiences.
• Be willing to work in a fast paced, competitive environment, and hold a strong record of successful delivery of complex scientific projects and publications under tight timelines.

All listed requirements are deemed as essential functions to this position; however, business conditions may require reasonable accommodations for additional task and responsibilities.

Experience/Education:

• 0 - 5 years of experience with a Bachelor/ PhD

Preferred Experience/Education/Skills:

• MD or PhD in computer science, genetics, computational biology, or related field

KEY JOB PURPOSE

We are looking for a focused and highly motivated individual to contribute to a dynamic and growing team. This team aims to expedite the novel light-weight and flexible perovskite solar cells for low-weight applications such as portable and wearable devices, BIPV and IoT.

KEY RESPONSIBILITIES

As a Research Engineer specializing in flexible perovskite solar cells, your responsibilities will revolve around conducting research, development, and optimization of this emerging technology. Here are some key job scopes for this position:

· Optimize deposition techniques, such as solution processing, vacuum deposition, or printing methods, to achieve uniform and high-quality perovskite thin films on flexible substrates.

· Investigate new materials, device architectures, and manufacturing methods to improve the overall performance and reliability of flexible perovskite solar cells.

· Investigate encapsulation strategies and barrier materials to protect flexible perovskite solar cells from degradation.

· Design and execute experiments to fabricate and characterize flexible perovskite solar cells.

· Conduct accelerated aging tests and reliability studies to evaluate long-term stability and durability of the devices.

· Scale up procedures from lab-scale to manufacturing scale.

· Conceptualize and realize new device configurations with enhanced stability and efficiency

· Report writing and results presentation

· Regular maintaining of research and study records, conceptualize, execute and interpret scientific experiments

· Work closely with internal colleagues in Singapore and China to work in company target.

COMPETENCIES AND QUALIFICATION REQUIREMENTS

· Master, PhD in Materials Science, Chemistry or related fields with in-depth knowledge of materials (especially perovskites), device physics and processing.

· Deep understanding of all kind of perovskite materials and interface engineering. Experience in flexible perovskite solar cells and low-temperature process/deposition is a plus.

· Expertise in device making and materials characterizations.

· Good skills in time management, experiment design and data analysis.

· Good communication and interpersonal skills.

We regret that only shortlisted candidates will be notified.

KEY JOB PURPOSE

We are looking for a focused and highly motivated individual to contribute to a dynamic and growing team. This team aims to expedite the novel light-weight and flexible perovskite solar cells for low-weight applications such as portable and wearable devices, BIPV and IoT.

KEY RESPONSIBILITIES

As a Research Engineer specializing in flexible perovskite solar cells, your responsibilities will revolve around conducting research, development, and optimization of this emerging technology. Here are some key job scopes for this position:

· Optimize deposition techniques, such as solution processing, vacuum deposition, or printing methods, to achieve uniform and high-quality perovskite thin films on flexible substrates.

· Investigate new materials, device architectures, and manufacturing methods to improve the overall performance and reliability of flexible perovskite solar cells.

· Investigate encapsulation strategies and barrier materials to protect flexible perovskite solar cells from degradation.

· Design and execute experiments to fabricate and characterize flexible perovskite solar cells.

· Conduct accelerated aging tests and reliability studies to evaluate long-term stability and durability of the devices.

· Scale up procedures from lab-scale to manufacturing scale.

· Conceptualize and realize new device configurations with enhanced stability and efficiency

· Report writing and results presentation

· Regular maintaining of research and study records, conceptualize, execute and interpret scientific experiments

· Work closely with internal colleagues in Singapore and China to work in company target.

COMPETENCIES AND QUALIFICATION REQUIREMENTS

· Master, PhD in Materials Science, Chemistry or related fields with in-depth knowledge of materials (especially perovskites), device physics and processing.

· Deep understanding of all kind of perovskite materials and interface engineering. Experience in flexible perovskite solar cells and low-temperature process/deposition is a plus.

· Expertise in device making and materials characterizations.

· Good skills in time management, experiment design and data analysis.

· Good communication and interpersonal skills.

We regret that only shortlisted candidates will be notified.

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

• Research on tackling the research problems of SAR image recognition and object detection (semantic segmentation included).
• Develop the state-of-the-art algorithms of SAR image recognition models and publish papers.
• Implement the systematical toolbox using the trained SAR models.
• Demonstrate and visualize the research results in regular meetings with DSO Lab.

• Minimum Master's degree in Computer Science, Information Technology, Information Systems or closely related disciplines.
• Minimum 3 years of relevant research experience in computer vision and deep learning.
• Proficiency in programming languages such as c++ and python is required.
• Demonstrated experience and know-how on pytorch and tensorflow.
• Excellent working knowledge of SAR image processing.
• Good analytical, technical and problem solving skills.
• Applicants with research publications in incremental learning, few-shot learning, and long-tailed image recognition topics will be advantageous.
• Self-motivated individual who can work independently and also collaboratively with team members.

#LI-JN2

• MNC Company
• Basic $2500 - $3500 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Jurong East
• Working days: Monday to Friday
• Working hours: 8.30am – 5.30pm
• Training provided for those without/lesser experience

Job Responsibilities:

• To research and develop new products and services
• Researching about competitor’s products and evaluation of detailed function of their products
• Conduct Market Research on products of Security System in ASEAN region
• Design and develop test plans for security alarm systems, CCTV systems, and access control systems, adhering to industry standards and company protocols
• Conduct rigorous testing of all system components, including control panels, sensors, cameras, access readers, and communication devices
• Simulate real-world security scenarios to identify and address potential vulnerabilities
• Conduct in-depth research on emerging security technologies and their potential application
• Conduct research about standards like SS558, EN, IEC for ASEAN countries
• Any others ad hoc duties as assigned

Job Requirements:

• Possess minimum Diploma in Electronics and/or Electrical Engineering or relevant field
• Training provided for those without/lesser experience

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

Leong Wei Ling (R23117584)

EA Recruitment Pte Ltd

EA License No: 21C0492

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of

more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing

solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Research Engineer/ Senior Research

Engineer to implement highly available and scalable microservices-based applications and platforms for

autonomous manufacturing applications. He/she is expected to be independent and initiative-driven,

demonstrating the capacity to discover innovative solutions to challenges.

The key roles and responsibilities include the following:

-Develop, test, and maintain enterprise planning system and applications.

-Analyze complex problems related to resource planning and scheduling, identify potential solutions,

and implement the most effective one.

-Collaborate with other developers and stakeholders to deliver high-quality software products.

-Deploy software to production environments and provide ongoing maintenance and support to

customers.

-Be responsible for documenting of code with technical specifications, user manuals, and other

documentations to facilitate understanding and maintenance by other team members.

-Identify and address bottlenecks, inefficiencies, and scalability issues to ensure optimal performance

of software system

Job Requirements

• Bachelor or Master degree in computer science/engineering or relevant Disciplines
• Must have a minimum of 2 years' experience as a Software Developer/Engineer
• Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Container Platforms
• Proficiency in designing and developing microservices and software systems using C# .NET and angular
• A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.
• Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)
• Can do attitude and happy to interface with multiple stakeholders
• Excellent troubleshooting, follow-through, and problemsolving skills, with attention to detail
• Excellent verbal and written communication skills

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.

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of

more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing

solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Research Engineer/ Senior Research

Engineer to implement highly available and scalable microservices-based applications and platforms for

autonomous manufacturing applications. He/she is expected to be independent and initiative-driven,

demonstrating the capacity to discover innovative solutions to challenges.

The key roles and responsibilities include the following:

-Develop, test, and maintain enterprise planning system and applications.

-Analyze complex problems related to resource planning and scheduling, identify potential solutions,

and implement the most effective one.

-Collaborate with other developers and stakeholders to deliver high-quality software products.

-Deploy software to production environments and provide ongoing maintenance and support to

customers.

-Be responsible for documenting of code with technical specifications, user manuals, and other

documentations to facilitate understanding and maintenance by other team members.

-Identify and address bottlenecks, inefficiencies, and scalability issues to ensure optimal performance

of software system

Job Requirements

• Bachelor or Master degree in computer science/engineering or relevant Disciplines
• Must have a minimum of 5 years' experience as a Software Developer/Engineer
• Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Container Platforms
• Proficiency in designing and developing microservices and software systems using C# .NET and angular
• A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.
• Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)
• Can do attitude and happy to interface with multiple stakeholders
• Excellent troubleshooting, follow-through, and problemsolving skills, with attention to detail
• Excellent verbal and written communication skills

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.

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Senior or Lead Research Engineerto implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges. We are seeking a talented and experienced Software Engineer with experience in MLOps/AI to join our dynamic team. In this role, you will play a key role in software development and focusing on deploying machine learning models, implementing MLOps best practices. You will closely work with our cross-functional research teams to streamline model deployment, improve scalability and reliability of systems.

The key roles and responsibilities include the following:

-Develop, test, and maintain enterprise system and applications, with a focus in ML/AI systems.

-Implement MLOps best practices to automate model training, deployment, and monitoring processes.

-Optimize and Implement machine learning algorithms and deep learning architectures.

-Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems and deliver high-quality software products.

-Optimize AI pipelines for scalability, reliability, and better performance.

-Conduct performance analysis and optimization to improve model efficiency and accuracy.

-Stay updated on the latest advancements in software engineering, AI/ML technologies and best practices.

Job Requirements

-Bachelor or Master's Degree in Computer Science/Engineering or relevant Disciplines

-Must have a minimum of 5 years of experience as a Software Developer/Engineer

-Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Containerization Technologies

-Proficiency in designing and developing microservices and software systems using C# .NET, Python and angular

-A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.

-Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)

-Can do attitude and happy to interface with multiple stakeholders

-Excellent troubleshooting, follow-through, and problemsolving skills, with attention to detail

-Excellent verbal and written communication skills

-Familiarity with deep learning architectures and natural language processing (NLP) techniques.

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.

The Advanced Remanufacturing and Technology Centre (ARTC) is a public-private partnership consortium of more than 80 industry members. Our core mission is to develop and deploy advanced manufacturing solutions and upskill the workforce to drive local industry competitiveness.

Smart Virtual Systems (SVS) Group is seeking a highly motivated Senior or Lead Research Engineer to implement highly available and scalable microservices-based applications and platforms for autonomous manufacturing applications. He/she is expected to be independent and initiative-driven, demonstrating the capacity to discover innovative solutions to challenges. We are seeking a talented and experienced Software Engineer with experience in MLOps/AI to join our dynamic team. In this role, you will play a key role in software development and focusing on deploying machine learning models, implementing MLOps best practices. You will closely work with our cross-functional research teams to streamline model deployment, improve scalability and reliability of systems.

The key roles and responsibilities include the following:

-Develop, test, and maintain enterprise system and applications, with a focus in ML/AI systems.

-Implement MLOps best practices to automate model training, deployment, and monitoring processes.

-Optimize and Implement machine learning algorithms and deep learning architectures.

-Collaborate with data scientists and software engineers to integrate machine learning solutions into existing systems and deliver high-quality software products.

-Optimize AI pipelines for scalability, reliability, and better performance.

-Conduct performance analysis and optimization to improve model efficiency and accuracy.

-Stay updated on the latest advancements in software engineering, AI/ML technologies and best practices.

Job Requirements

-Bachelor or Master's Degree in Computer Science/Engineering or relevant Disciplines

-Must have a minimum of 8 years of experience as a Software Developer/Engineer

-Hands-on experience in Cloud Native Technologies such as in micro-services, DevSecOps, and Containerization Technologies

-Proficiency in designing and developing microservices and software systems using C# .NET, Python and angular

-A good understanding of CI/CD Pipelines in a distributed environment using Git, Artifactory, Jenkins, SonarQube, Docker registry, etc.

-Hands-on experience with deploying and managing microservices using container orchestration platforms (on-prem/public cloud)

-Can do attitude and happy to interface with multiple stakeholders

-Excellent troubleshooting, follow-through, and problemsolving skills, with attention to detail

-Excellent verbal and written communication skills

-Familiarity with deep learning architectures and natural language processing (NLP) techniques.

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.

A Corp Lab in NTU is looking for a Research Engineer to work on the NLP project.

Key Responsibilities:

• Research and develop novel ML-based methodologies and algorithms for multilingual and multimodal LLMs.
• Working closely with other Postdoc/RA/PhD students to discuss the ideas and implement the system.
• Publications in top-tier international conferences and journals

Job Requirements:

• Master’s degree in Computer Science, Electrical Engineering or related disciplines
• Prior experience in NLP, and state-of-the-art ML techniques would be a plus;
• Good interpersonal communication and oral presentation skills in English - for research work and publications
• Experienced in working in a team, with people of diverse skillsets and cultural background

We regret that only shortlisted candidates will be notified.

SIMTech is looking for a highly motivated, independent, and innovative Energy Systems Analyst to join Sustainability Informatics & Strategy (SIS) Group. Candidate will play a crucial role in analysing energy system models that will directly inform the Singaporean"s long-term national-level decarbonization strategy. Your work will influence decision-making processes at the highest levels and contribute to mitigating climate change and promoting environmental stewardship on a global scale.

JOB DESCRIPTION

The successful candidate is expected to utilize energy systems optimization models and implement existing work in energy and emissions modelling to Life Cycle Assessment:

The key roles & responsibilities include:

• Translate existing national and international level energy systems models to other advanced platforms
• Perform Life Cycle Assessment with optimization using recently developed techniques and tools
• Gather and translate policy user decision making requirements into modelling problems
• Perform Techno-economic and environmental analysis of energy systems
• Perform program coding & testing in compliance with approved life cycle methodologies
• Perform policy analysis using results from energy systems model results

JOB REQUIREMENT

• Degree in Computer Science/Engineering/ Energy Policy (or equivalent experience)
• Familiarity with energy systems model-generators such as TIMES, OSeMOSYS, PyPSA, PLEXOS, and other relevant software platforms used for techno-economic analysis and optimization of energy systems.
• Willingness and ability to learn new energy system models, methodologies, and tools to adapt to evolving research needs and technological advancements.
• Experience with techno-economic analysis of energy systems or other sustainability related systems
• Experience with generating policy recommendations using energy systems modelling results or other sustainability reporting
• If candidate is from non-energy sustainability field, willingness and ability to apply experiences to energy and emissions field
• Ability and willingness to learn new technologies quickly
• 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
• Candidates with experiences in related field but with the willingness and ability to learn energy systems modelling are also welcome to apply

SIMTech is looking for a highly motivated, independent, and innovative Software / DevOps engineer to join Sustainability Informatics & Strategy (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 Scrum / 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

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

• Design and develop backend web applications and database schemas
• Deploy, scale and configure cloud applications
• 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

JOB REQUIREMENT

• Degree in Computer Science/Engineering (or equivalent experience).
• Proficiency in at least two of the following:
• Frontend technologies and frameworks (i.e. React, Angular)
• Python web frameworks (e.g. FastAPI)
• SQL Databases, and ORMs (e.g. SQLAlchemy)
• Prior experience using source control systems, specifically Git. While in-depth knowledge of advanced features is not required, candidates should understand the basic functions such as committing changes, pushing to repositories, and pulling updates.
• Preference for candidates with working knowledge of DevOps (AWS Cloudformation/ IAM) and AWS Cloud Services (Cognito, Amplify, API Gateway, S3, RDS, Lambda)
• Preference for candidates with a basic understanding of Tableau for creating data visualizations. Training or coursework involving Tableau or similar data visualization tools is preferred, though hands-on professional experience is not required
• Ability and willingness to learn new technologies quickly
• 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

SIMTech is looking for a highly motivated, independent, and innovative Energy Systems Analyst to join Sustainability Informatics & Strategy (SIS) Group. Candidate will play a crucial role in analysing energy system models that will directly inform the Singaporean"s long-term national-level decarbonization strategy. Your work will influence decision-making processes at the highest levels and contribute to mitigating climate change and promoting environmental stewardship on a global scale.

JOB DESCRIPTION

The successful candidate is expected to utilize energy systems optimization models and implement existing work in energy and emissions modelling to Life Cycle Assessment:

The key roles & responsibilities include:

• Translate existing national and international level energy systems models to other advanced platforms
• Perform Life Cycle Assessment with optimization using recently developed techniques and tools
• Gather and translate policy user decision making requirements into modelling problems
• Perform Techno-economic and environmental analysis of energy systems
• Perform program coding & testing in compliance with approved life cycle methodologies
• Perform policy analysis using results from energy systems model results

JOB REQUIREMENT

• Degree in Computer Science/Engineering/ Energy Policy (or equivalent experience)
• Familiarity with energy systems model-generators such as TIMES, OSeMOSYS, PyPSA, PLEXOS, and other relevant software platforms used for techno-economic analysis and optimization of energy systems.
• Willingness and ability to learn new energy system models, methodologies, and tools to adapt to evolving research needs and technological advancements.
• Experience with techno-economic analysis of energy systems or other sustainability related systems
• Experience with generating policy recommendations using energy systems modelling results or other sustainability reporting
• If candidate is from non-energy sustainability field, willingness and ability to apply experiences to energy and emissions field
• Ability and willingness to learn new technologies quickly
• 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
• Candidates with experiences in related field but with the willingness and ability to learn energy systems modelling are also welcome to apply