Total 594 quality assurance engineer job vacancies in Education / Training category in Singapore

As an intern for AI research engineer, the candidate will work on developing AI methods or solutions related to computer vision tasks for autonomous disassembly process. The candidate will focus on the following tasks:

•    Understand the typical process and challenges for automated disassembly.
•    Collect information on different types of defects and damages for automotive parts.
•    Conduct comprehensive evaluation   on collected data and derive systematic categorization.
•    Develop advanced computer vision algorithm for object detection, segmentation and pose estimation using state-of-the-art methodologies.
•    Explore potential solutions   to handle unexpected defects.
•    Integrate the algorithm into software and hardware platform.
•    Closely collaborate and communicate with other team members.

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

• Algorithm design, implementation & testing.
• Benchmark comparison.
• Setup and develop response generation or ranking models.
• Writing scientific report or summaries.

• Minimum Bachelor's degree or senior undergraduate student in Computer Science, Computer Engineering or closely related disciplines.
• Minimum 1 year of relevant research experience in NLP or CV.
• Better if have research papers published in top tier conferences such ACL.
• Proficiency in programming languages such as pytorch or tensorflow is required.
• Demonstrated experience and know-how on doing research.
• Experience with systems, such as linux, docker is preferred.
• Excellent working knowledge of dialogue systems, pretrained language models, LLMs.
• Good analytical, technical and problem solving skills.
• Applicants with research publications in NLP or CV area will be advantageous.
• Self-motivated individual who can work independently and also collaboratively with team members.

#LI-XL1

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 a first-of-its kind AI-assisted integrated NDT verification system for reusability of structural steel with accuracy of ±10% at confidence level of 95%. The key innovation is to use AI to analyse a bigger data set and build a multi-parameter machine learning (ML) model that integrate the complex mechanical properties obtained from DT and the electric/magnetic permeability data obtained from NDT to predict the critical material characteristics of reusable steels.

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. Establishing test result database: Conducting both DTs and NDTs on the same samples to create a comprehensive dataset for AI model development, managing data collection processes on-site at the collaborator’s factory, and ensuring the accuracy and integrity of the collected data.
  2. Developing statistical model: Utilizing DT results to develop statistical models for estimating mechanical characteristics based on normal distribution and analyzing statistical data to support model development.
  3. Developing and verifying the AI model: Developing various regression models and evaluate their feasibility and suitability, conducting model fitting and verification phases using training and test datasets and ensuring the selected model meets the accuracy criteria (±10% at 95% confidence) for individual mechanical characteristics and overall classification results (grade determination).
  4. Validation of the method: Implementing the proposed method and AI model in test bedding cases, measuring the impact of the method in terms of time and cost savings and developing implementation guidelines based on validation results.
• 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.
• Publish research findings in peer-reviewed journals and present at conferences.
• Assist in the preparation of project reports, proposals, and documentation.

Requirements

• Have relevant competence in the areas of structural engineering, material science, statistics and programming basics.
• Have a degree in Civil Engineering, Mechanical Engineering or Material Science. Possessing a Master’s or PhD degree will be advantageous.
• Knowledge of AI / ML and common ML programming languages will be advantageous.

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
• Able to carry out data preprocessing, develop statistical and regression models.
• Possess knowledge of the mechanical properties of structural steel and factors affecting its performance
• Able to prioritize tasks, meet deadlines, and manage multiple responsibilities.

ERI@N is establishing capabilities and physical test setups to support emerging industry requirements for testing and verification of energy related applications such as energy storage systems (ESS) and electric vehicle (EV) charging systems. The position will involve familiarization of test protocols, development of test procedures and processes and hands-on execution of tests based on project requirements. We seek a dynamic person with a Degree in engineering and a positive attitude to be a new member of the team.

Key Responsibilities:

1. You will need to actively support R&D projects at EPGC in terms of project development, testing and verification/validation activities, test logistics planning/coordination, and sourcing and procurement.

2. The role will include the following:

• Technical evaluation, development of test requirements and test setups; coordination with project partners, industry and agency stakeholders
• Familiarization of test standards for ESS and EV charging; development of test procedures and processes
• Hands-on setup of test instrumentation; conducting tests on actual equipment-under-test
• Prepare project reports, test reports and documentation
• Coordinate regular project reporting/meetings, and test logistics/planning with industry partners

3. You will also be involved in daily operations of the EPGC facilities including the following:

• Participate in testing and certification activities at EPGC facility or collaborators’ locations
• Produce test documentation in accordance with project or test requirements
• Sourcing and procurement of project consumables

4. You will be an integral part of the Testing & Certification team and will need to participate in project discussions especially related to project implementation details.

5. Familiarity with electrical and power systems, energy storage systems, EV charging systems, test & measurement instruments, sensors/sensor networks, and PLC systems is preferred.

Job Requirements:

• Master’s degree in engineering (e.g. Electrical, Clean/Renewable Energy, or Power Systems related)
• Proficient in MS Office applications
• Should be a very hands-on person, willing to take on non-routine tasks
• Possess good communication (written and verbal) skills
• Able to manage multiple stakeholders and work under tight timelines
• Positive attitude, ability to work independently as well as in a team

We regret that only shortlisted candidates will be notified.

• Perm
• At least 5 years in a Release Train Engineer role or similar positions (Agile Coach, Scrum Master, Project Manager, Product Owner).
• Preferable experience in shipping, logistics, supply chain, or technology industries.
• Demonstrable knowledge in Applications, Data, and Technology architecture (especially CICD technologies).
• Proficient in designing and delivering scaled Agile programs.

As a Release Train Engineer, you will lead a critical role as a dependency manager through the monitoring and coordination of ongoing projects and applications.

Responsibilities:

Agile Leadership:

• Facilitate cross-squad ceremonies to resolve impediments, track dependencies, and align with PI goals.
• Conduct regular check-ins with Scrum Masters, Product Owners, and other stakeholders.
• Foster collaboration between teams and System/Solution Architects.
• Champion Agile and SAFe principles, promoting a culture of continuous improvement and collaboration.

Planning & Coordination:

• Organize and facilitate PI Planning sessions, ensuring team alignment on priorities and objectives.
• Collaborate with Product Owners to prioritize and groom the Program Backlog.
• Monitor progress, address deviations, and ensure timelines and Definition of Done are met.

Communication & Reporting:

• Develop and maintain communication plans to keep stakeholders informed.
• Provide regular status updates to leadership, highlighting milestones, risks, and areas for improvement.
• Maintain transparency by reporting relevant metrics on the project's performance and health.

Problem Resolution:

• Identify and address impediments, risks, and dependencies proactively.
• Collaborate with teams to find creative solutions to challenges.
• Escalate critical issues to leadership with recommended actions.

Continuous Improvement:

• Organize and facilitate Inspect and Adapt workshops to gather feedback and identify improvement areas.
• Implement lessons learned and drive continuous improvement initiatives.
• Share best practices and contribute to the evolution of Agile practices within the organization.

Typical Deliverables:

• Prioritized and groomed Program Backlog for upcoming Program Increments.
• PI Planning artifacts, including Program Board, Program Backlog, and team plans.
• Regular status reports and metrics on the health and performance of the ART.
• Action plans and improvements from Inspect and Adapt workshops.
• Resolutions to impediments and dependencies impacting the Agile Project.

• Bachelor's Degree in IT, Engineering, or related field.
• Minimum 5 years in a Release Train Engineer role or similar positions (Agile Coach, Scrum Master, Project Manager, Product Owner).
• Preferable experience in shipping, logistics, supply chain, or technology industries.
• Demonstrable knowledge in Applications, Data, and Technology architecture (especially CICD technologies).
• Proficient in designing and delivering scaled Agile programs.
• Experience engaging with both C-Suite and operational staff.
• Ability to articulate the benefits of an Agile operational model.
• Interest in emerging technology trends and their application to Agile transformation.
• Excellent stakeholder engagement, people management, and communication skills.
• Strong analytical, problem-solving, and critical thinking skills.
• Recent Agile certifications (SAFe RTE) preferred.
• Proficient with Microsoft Office applications (PowerPoint, Teams, Excel, SharePoint, Outlook).
• Proficiency in English, both verbal and written.

Triton AI Pte Ltd
Registration Number: R1980724
EA: 21C0661

• Perm
• Medical & Insurance Coverage
• Bonus

As a Heterogeneous Integration Research Engineer, candidate will play a pivotal role in integrating modules, utilizing a wide spectrum of integration processes such as pick & place and flip chip bonding to assemble multiple components into a functional module. Additionally, you will be involved in encapsulating the modules to withstand reliability tests. This is an exceptional opportunity to work with state-of-the-art heterogeneous integration equipment, engage in ground-breaking research, and explore the frontiers of advanced electronics modules.

Key responsibilities for this role include:

Process development:

Drive the advancement of various heterogeneous integration processes such as pick & place, flip chip bonding, underfill, solder ball attachment, and encapsulation. Your focus will be on achieving high reliability for electronic modules. This includes evaluating processing materials, executing "design of experiments" (DoE), performing metrology inspections, and conducting data analysis.

Intellectual property and know-how development:

Seize the opportunity to conceptualize and develop intellectual properties and valuable know-how that aligns with industry needs.

Job Requirements:

• Degree/Master in Materials Science, Mechanical, Chemical or Chemistry, Electrical or electronics.
• 2 to 3 years experience in semiconductor processes such as pick & place, flip chip &encapsulation will be added advantage.
• Strong communication, industry awareness, and problem-solving skills.
• Highly motivated to succeed, a self-starter who is driven and able to work with others effectively to get things done.

As a Heterogeneous Integration Research Engineer, candidate will play a pivotal role in integrating modules, utilizing a wide spectrum of integration processes such as pick & place and flip chip bonding to assemble multiple components into a functional module. Additionally, you will be involved in encapsulating the modules to withstand reliability tests. This is an exceptional opportunity to work with state-of-the-art heterogeneous integration equipment, engage in ground-breaking research, and explore the frontiers of advanced electronics modules.

Key responsibilities for this role include:

Process development:

Drive the advancement of various heterogeneous integration processes such as pick & place, flip chip bonding, underfill, solder ball attachment, and encapsulation. Your focus will be on achieving high reliability for electronic modules. This includes evaluating processing materials, executing "design of experiments" (DoE), performing metrology inspections, and conducting data analysis.

Intellectual property and know-how development:

Seize the opportunity to conceptualize and develop intellectual properties and valuable know-how that aligns with industry needs.

Job Requirements:

• Degree/Master in Materials Science, Mechanical, Chemical or Chemistry, Electrical or electronics.
• 2 to 3 years experience in semiconductor processes such as pick & place, flip chip &encapsulation will be added advantage.
• Strong communication, industry awareness, and problem-solving skills.
• Highly motivated to succeed, a self-starter who is driven and able to work with others effectively to get things done.

Job scope:

• Work with project PI to develop experimental plans for ammonia synthesis/cracking/combustion in thermocatalysis or electrocatalysis or plasma catalyst
• Assist in experimental design
• Conduct experiments to collect kinetic parameters
• Characterisation of catalyst properties with various physical and chemical methods.
• Coordinate with vendors on reactor modification and improvement.
• Assist in preparing presentation materials for regular project meetings and summarize results in reports
• Prepare results for publications in scientific journals or patents

Job requirements:

• Degree or Master degree in Chemical Engineering, Materials Engineering, Chemistry or Applied Physics
• Knowledge in catalysis
• Hands experience on operation for fixed bed reactor.
• Experience in reactor building with automation is preferred
• Proactive, team player and good problem-solving skills
• Data analysis and interpretation skills
• Excellent oral/written communication
• Willingness to learn new skills and explore new ideas

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

• Design and synthesis of organic functional materials with persistent luminescence
• Design and synthesis of organic functional materials for theranostic applications
• Design and synthesis of nanomaterials for theranostic applications
• Cellular and bacteria studies to evaluate fluorescent probes
• Responsible for conducting high quality research, writing academic papers and collaboration with other researchers

Job Requirements

• Bachelor degree in Chemistry, Materials, Polymers and Chemical Engineering.
• Good knowledge in synthesis and characterization.
• Have good publication record and relevant research experience.
• Highly motivated and independent, strong problem-solving skills
• Good written and spoken communication
• 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 candidate will be responsible for the research on conversion of food waste into value-added products using green, low-carbon approaches. He/She is expected to complete the assigned scientific tasks, lead and contribute to publications at reputable scientific journals, and assist in the supervision of related research projects of undergraduate students. The candidate will be supervised by Dr. Iris YU: https://www.yuiris.com/

Job Requirements

• Possess a Bachelor & Master’s degrees in Environmental Engineering or Chemical Engineering or related disciplines.
• Experience/expertise in green chemistry, chemical engineering, environmental engineering, biomass conversion, material science.
• Excellent written and spoken communication skills and capability to present research findings clearly in publications.
• 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 National University of Singapore invites applications for the position of Research Assistant in the Smart Systems Institute (SSI). SSI is strongly committed to research excellence in all its dimensions, developing novel computational solutions to a wide range of applications, building large-scale experimental systems, and improving the well being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and AI Systems.

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects in robot manipulation system and design and experimentation. He/she should possess strong knowledge and hands-on experience in the following areas:

· machine learning, particularly, deep learning

· robot perception

· preferably, prior experiences with robot manipulators and ROS

Qualifications

· A Bachelor’s degree with in a relevant area;

· Good written and verbal communication skills in English; and

· Relevant research experiences.

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

• Developing novel deep learning assisted optimization algorithm for solving vehicle routing problems.
• Implementing traditional optimization algorithms.
• Collecting real-world dataset and testing the above algorithms for benchmarking.
• Writing paper for publication.

• Minimum Bachelor's/Master's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from an institution of higher learning
• Minimum one year of relevant research experience in deep learning or operations research
• Proficiency in programming languages such as Python is required
• Demonstrated experience and know-how on solving vehicle routing problem
• Experience with at least one programming software, such as Pytorch or Tensorflow is preferred
• Excellent working knowledge of deep learning or operations research (OR)
• Good analytical, technical and problem solving skills
• Applicants with research publications in AI or OR 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

• Explore related work in TEE-enabled AI applications.
• Build and implement techniques to guarantee the security of the AI applications while minimizing the impact on their accuracy and efficiency.
• Evaluate the techniques on relevant datasets.
• Write reports/papers on the techniques and results.

• Bachelor or Master degree in Computer Science, Information Technology, Cybersecurity, or closely related disciplines from an institution of higher learning
• Relevant research experience in machine learning, computer vision, or natural language processing
• Excellent knowledge/proficiency in programming software/languages such as PyTorch is required
• Demonstrated experience and know-how on machine learning, computer vision, or natural language processing. Research experience on foundation models and/or TEEs is a plus.
• Good analytical, technical and problem solving skills
• Applicants with research publications in top AI venues will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

#LI-JN2

A Corp Lab in NTU is seeking to hire a Research Engineer II who will contribute to the development of graph-based reasoning networks for accurate and stable facial landmark detection models. The ideal candidate will possess the ability to apply recent technological advances in graph reasoning networks to the face alignment tasks.

Key Responsibilities:

• Develop graph-based reasoning networks for facial landmark detection.
• Develop spatial temporal graph-based reasoning network to improve the accuracy of video facial landmark detection.
• Develop stabilization methods for video facial landmark detection.
• Develop graph neural network theory.
• Develop sequence modeling theory.
• Develop deep learning methods and theory.
• Develop computer vision methods.

Job Requirements:

• Master's degree or higher in Computer Science/Engineering, or Electrical/Electronic Engineering.
• Strong mathematical background
• Top-tier AI venue publications are very much preferred
• Minimum of 2 years of work experience in a related field.
• Deep understanding of the theory of Machine Learning, Deep Learning, Computer Vision
• Experience in at least one Deep Learning framework such as Tensorflow, Pytorch and Programming Languages such as Python, Matlab, R and/or C/C++
• Demonstrated project experience related to graph-based reasoning and facial landmark detection will be an advantage.
• Good written and oral communication skills

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a motivated Research Engineer to conduct cutting-edge research in the topic of “Green Cloud Computing”.

Key Responsibilities:

• Develop detailed energy and CFD models of HVAC systems using simulation software (e.g. EnergyPlus, OpenFoam, Ansys, 6-Sigma, eQUEST, IES VE, DesignBuilder).
• Conduct simulation and optimization tasks to evaluate the energy performance of HVAC systems, including heating and cooling loads, energy consumption, and peak demand.
• Analyze and interpret simulation results to identify areas for energy efficiency improvements and develop recommendations for optimization.
• Collaborate with team members to work out AI based solutions to optimize the energy efficiency and mitigate thermal risks.
• Provide technical support and guidance to clients, contractors, and other team members on HVAC energy efficiency measures and sustainability best practices.
• Stay up-to-date with the latest energy/CFD modeling and simulation technologies and industry trends.
• Prepare reports and presentations for clients and project stakeholders.

Job Requirements:

• Bachelor's degree in Mechanical Engineering, Energy Engineering, or related field.
• At least 3-5 years of experience in HVAC energy modeling and simulation.
• Proficiency in simulation software (e.g. OpenFoam, Ansys, 6-Sigma, EnergyPlus, eQUEST, IES VE, DesignBuilder).
• Familiarity with HVAC systems, including heating and cooling load calculations, equipment selection, duct design, and piping layouts.
• Knowledge of energy efficiency measures and sustainability best practices.
• Strong communication, leadership, and problem-solving skills.
• Ability to work independently and manage multiple projects simultaneously.
• Familiarity with local, state, and national codes and standards, including ASHRAE, NFPA, and ICC.

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a motivated Research Engineer to conduct cutting-edge research in the topic of “Green Cloud Computing”.

Key Responsibilities:

• Develop and implement the data and model interface for the AI/Data Twin platform with IoT or BMS systems.
• Debug and deploy the AI/Data Twin platform in on-site or cloud environments.
• Collaborate with the team to develop automation tools to optimize integration and deployment processes.
• Regularly maintain deployed platforms and perform data analysis.
• Prepare system delivery documents and maintenance reports.
• Quickly identify issues and develop solutions.

Job Requirements:

• Bachelor’s or Master’s degree in Computer Science, Automation, or a related field.
• 2-3 years of experience in DevOps and IT systems maintenance (Linux).
• Proficient in operating systems, Docker, and Kubernetes.
• Skilled in Shell programming and fundamental Python programming.
• Familiar with cloud platforms such as AWS and Azure.
• Understanding of DevOps and automated testing tools, such as Ansible and Selenium.
• Excellent communication and problem-solving skills.
• Priority given to those with a background in power systems or cooling systems.
• Ability to quickly learn new technologies.

We regret that only shortlisted candidates will be notified.

A Corp Lab in NTU is looking for a motivated Research Engineer to conduct cutting-edge research in the topic of “Green Cloud Computing”.

Key Responsibilities:

• Deploy and test software systems to ensure functionality and quality.
• Develop and maintain system documentation and test cases.
• Collaborate with the development team to integrate software components.
• Troubleshoot and resolve system issues.
• Conduct system performance and reliability testing.
• Monitor system performance and implement improvements as needed.

Job Requirements:

• Bachelor's degree in Computer Science, Software Engineering, or a related field.
• Proven experience in software system deployment, testing, and maintenance.
• Experience with programming and scripting languages, such as Python and Bash
• Familiarity with DevOps practices and tools
• Experience with system monitoring and performance testing tools.
• Experience with cloud platforms such as AWS and containerization technologies like Kubernetes (k8s).
• Knowledge in IoT or digital twins will be a plus.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration skills.

We regret that only shortlisted candidates will be notified.

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

PREFERRED SKILLSETS AND EXPERIENCES

• Prior experience in performing Life Cycle Assessment
• Familiarity with LCA-associated standards (ISO 14025/40/44/64/67 and BS EN 15804 standards)
• Knowledge of ESG reporting framework (for e.g. GHG Protocol Corporate Standard, GRI, TCFD, etc.)
• Familiarity with ISO 15663/86 standards
• Experience with commercial LCA tools and Databases (for e.g. OpenLCA, Brightway2, ecoinvent, etc.)
• Knowledge and understanding of green finances and voluntary carbon market

Job Description

As a (Senior) Research Engineer in our Robotics & Automation R&D team, you will play a pivotal role in conceptualizing, designing, and implementing intelligent robotics solutions that solve complex challenges across various industries. Leveraging your expertise in robotics, computer vision, AI, and ROS, etc., you will contribute to the development of next-generation robotic platforms that exhibit advanced perception, cognition, and decision-making capabilities. As we continue to expand our horizons, we are seeking a talented Research Engineer to join our dynamic team.

Responsibilities:

• Algorithm Development: Design and implement algorithms for robot perception, 2D/3D scene understanding, localization and planning to improve the intelligence of robot for addressing the real-world tasks.
• AI and Learning: Develop, integrate, and deploy advance AI models for various robot tasks such as 2D/3D detection, self-learning, and motion/trajectory planning to enhance robot autonomy.
• Research and Innovation: Stay abreast of the latest advancements in robotics, computer vision, and AI research, and leverage new findings to enhance the capabilities of our robotic systems.
• Prototype Development: Build and iterate on prototypes to validate algorithms and concepts in real-world robotic applications, ensuring robustness and scalability.

Job Requirements

• Bachelor’s or master’s degree holder in Engineering, Robotics, Automation, Computer or related fields.
• Strong programming skills in languages such as Python, C++, and familiarity with software development best practices.
• Experience in deep learning frameworks (e.g., TensorFlow, PyTorch) and experience with training and deploying AI for applications.
• Experience in robot frameworks such as ROS/ROS2, Moveit, Gazabo, etc.
• Enthusiasm for learning and adapting to new technologies and areas, with a proactive approach to skill development.

Job Description

As a (Senior) Research Engineer in our Robotics & Automation R&D team, you will play a pivotal role in conceptualizing, designing, and implementing intelligent robotics solutions that solve complex challenges across various industries. Leveraging your expertise in robotics, computer vision, AI, and ROS, etc., you will contribute to the development of next-generation robotic platforms that exhibit advanced perception, cognition, and decision-making capabilities. As we continue to expand our horizons, we are seeking a talented Research Engineer to join our dynamic team.

Responsibilities:

• Algorithm Development: Design and implement algorithms for robot perception, 2D/3D scene understanding, localization and planning to improve the intelligence of robot for addressing the real-world tasks.
• AI and Learning: Develop, integrate, and deploy advance AI models for various robot tasks such as 2D/3D detection, self-learning, and motion/trajectory planning to enhance robot autonomy.
• Research and Innovation: Stay abreast of the latest advancements in robotics, computer vision, and AI research, and leverage new findings to enhance the capabilities of our robotic systems.
• Prototype Development: Build and iterate on prototypes to validate algorithms and concepts in real-world robotic applications, ensuring robustness and scalability.

Job Requirements

• Bachelor’s or master’s degree holder in Engineering, Robotics, Automation, Computer or related fields.
• Strong programming skills in languages such as Python, C++, and familiarity with software development best practices.
• Experience in deep learning frameworks (e.g., TensorFlow, PyTorch) and experience with training and deploying AI for applications.
• Experience in robot frameworks such as ROS/ROS2, Moveit, Gazabo, etc.
• Enthusiasm for learning and adapting to new technologies and areas, with a proactive approach to skill development.

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok's sponsorship of a visa.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

The E-commerce Global Supply Chain and Logistics team is dedicated to enhancing clients' shopping experience and reducing logistics operational cost in TikTok E-commerce. We are currently looking for talented software engineers that have a deep understanding of machine learning (ML), operations research (OR), data mining and statistical inference. This position can be fulfilled in our Singapore offices.

Responsibilities

- Build deep learning and statistical models to provide end-to-end estimated time of arrival (ETA) prediction for the e-commerce logistics. Through fine adjustment of ETA expression to the consumers, improve the click-to-order rate while balancing the negative review indicators.

- Use data mining tools to build logistics network knowledge graphs, based on which to construct a situational awareness & early warning system for logistics fulfillment, enabling operations to discover and deal with logistics network anomalies, and to improve the logistics fulfillment quality together with logistics service providers.

- Analyze and predict the spatio-temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods. This trajectory prediction can help to build a better understanding of logistics network dynamics, improve ETA prediction accuracy and provide important sample features for other prediction tasks.

- Build a service network design (SND) model for the location selection of transshipment centers and last mile stations based on an expected increase in logistics order volume.

- Collaborate with stakeholders to design and iterate strategies and models for predicting logistics events at the order level, including false shipments, user complaints, failed deliveries, false dispatching, negative reviews, and more.

- Drive the implementation of algorithmic models and ensure they generate tangible business value, such as logistics cost savings, GMV (Gross Merchandise Value) growth, and improved service levels.

- Develop innovative and state-of-the-art e-commerce logistics models and algorithms

- Support the production of scalable and optimised AI/machine learning (ML) models

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm

- Work with the relevant software platforms in which the models are deployed

Qualifications

- Master's or PhD degree in Computer Science, Engineering, Operations Research or related fields.

- Strong in data structures and algorithms, with excellent problem-solving ability and programming skills

- Experience in applied machine learning, familiar with one or more algorithms such as Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks etc.

- Experience with at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch).

Preferred Qualifications

- Work experience in e-commerce, supply chain, logistics, transportation or related fields is preferred.

- Publications at KDD、NeurIPS、WWW、SIGIR、WSDM、CIKM、ICLR、ICML、IJCAI、AAAI and related conferences.

- Working experience in machine learning, operations research or big data analysis.

- Minimum of 1 year of relevant work experience, including but not limited to personalized recommendation/search, online advertising, natural language processing, supply chain management, or logistics optimization.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

Join us.

About the Team

The E-commerce Global Supply Chain and Logistics team is dedicated to enhancing clients' shopping experience and reducing logistics operational cost in TikTok E-commerce. We are currently looking for talented software engineers that have a deep understanding of machine learning (ML), operations research (OR), data mining and statistical inference. This position can be fulfilled in our Singapore offices.

Responsibilities

- Build deep learning and statistical models to provide end-to-end estimated time of arrival (ETA) prediction for the e-commerce logistics. Through fine adjustment of ETA expression to the consumers, improve the click-to-order rate while balancing the negative review indicators.

- Use data mining tools to build logistics network knowledge graphs, based on which to construct a situational awareness & early warning system for logistics fulfillment, enabling operations to discover and deal with logistics network anomalies, and to improve the logistics fulfillment quality together with logistics service providers.

- Analyze and predict the spatio-temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods. This trajectory prediction can help to build a better understanding of logistics network dynamics, improve ETA prediction accuracy and provide important sample features for other prediction tasks.

- Build a service network design (SND) model for the location selection of transshipment centers and last mile stations based on an expected increase in logistics order volume.

- Collaborate with stakeholders to design and iterate strategies and models for predicting logistics events at the order level, including false shipments, user complaints, failed deliveries, false dispatching, negative reviews, and more.

- Drive the implementation of algorithmic models and ensure they generate tangible business value, such as logistics cost savings, GMV (Gross Merchandise Value) growth, and improved service levels.

- Develop innovative and state-of-the-art e-commerce logistics models and algorithms

- Support the production of scalable and optimised AI/machine learning (ML) models

- Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models

- Run experiments to test the performance of deployed models, and identifies and resolves bugs that arise in the process

- Work in a team setting and apply knowledge in statistics, scripting and programming languages required by the firm

- Work with the relevant software platforms in which the models are deployed

Qualifications

- Master's or PhD degree in Computer Science, Engineering, Operations Research or related fields.

- Strong in data structures and algorithms, with excellent problem-solving ability and programming skills

- Experience in applied machine learning, familiar with one or more algorithms such as Matrix Factorization, Factorization Machines, Word2vec, Logistic Regression, Gradient Boosting Trees, Deep Neural Networks etc.

- Experience with at least one of the Big Data tools (For eg. Hive sql/Spark/Mapreduce; at least one of the Deep Learning tools(For eg. Tensorflow/Pytorch).

Preferred Qualifications

- Work experience in e-commerce, supply chain, logistics, transportation or related fields is preferred.

- Publications at KDD、NeurIPS、WWW、SIGIR、WSDM、CIKM、ICLR、ICML、IJCAI、AAAI and related conferences.

- 3+ years of working experience in machine learning, operations research or big data analysis.

- Minimum of 1 year of relevant work experience, including but not limited to personalized recommendation/search, online advertising, natural language processing, supply chain management, or logistics optimization.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

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

PREFERRED SKILLSETS AND EXPERIENCES

• Prior experience in performing Life Cycle Assessment
• Familiarity with LCA-associated standards (ISO 14025/40/44/64/67 and BS EN 15804 standards)
• Knowledge of ESG reporting framework (for e.g. GHG Protocol Corporate Standard, GRI, TCFD, etc.)
• Familiarity with ISO 15663/86 standards
• Experience with commercial LCA tools and Databases (for e.g. OpenLCA, Brightway2, ecoinvent, etc.)
• Knowledge and understanding of green finances and voluntary carbon market

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 a mobile app for visualising geospatial data.

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. Implement code for improved cartographic algorithms and thematic map designs.
  2. Design human-subject experiments that test how the implemented map designs are used on electronic devices.
  3. Obtain approval for conducting experiments from the Institutional Review Board.
  4. Perform statistical analysis and report the results in the format of journal articles and conference contributions.
• 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 mobile app development.
• Have programming experience in Python and JavaScript.
• Have a Ph.D. degree in computer science, statistics, geography or a closely related field from a regionally or internationally accredited institutions.
• Knowledge of experimental design and computational geometry will be advantageous.
• Knowledge of C++ and R is desirable.

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 a carbon negative concrete product with environmental and ecological functions – carbon-activated steel slag permeable concrete (SSPC) for green urban infrastructure. In this system, coarse and fine electric arf furnace steel slags are to be used as aggregates, while ultra-fine steel slags (UFSS) will be incorporated into a blended binder.

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:
  i. Formulation of the UFSS based blended binder and the SSPC.
  ii. To study and codify the functions of SSPC including drainage management, contaminant removal, and ecological benefits.
  iii. To work with industry partners on the scaling up and test bedding at precast yard and project sites.
• 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 carbonation and hydration of cementitious materials, and concrete materials characterisation.
• Have a degree in Civil Engineering or Material Science and Engineering.
• Have a master’s degree in civil engineering or material science and engineering
• Confident in using analytical chemistry and material characterisation equipment, such as TGA, Isothermal calorimetry, SEM-EDS and XRD and conducting mechanical testing for concrete materials
• Knowledge of hydration and carbonation of cementitious materials and steel slags will be advantageous

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