Total 576 qa engineer job vacancies in Education / Training category in Singapore

Responsibilities:

· Contribute to research and development efforts in the marine and offshore, maritime, and underwater systems areas, in particular the modelling and control of physical systems such as autonomous vessels, underwater robots and offshore renewable energy systems.

· Work in a multidisciplinary team to continuously develop and enhance our sensing, data acquisition, and cyberphysical model test capabilities. This work includes requirements formulation, sensor and actuator acquisition and characterisation, control algorithm design and implementation, controller tuning, validation and verification etc.

· Actively engage with other team members to share ideas and exchange knowledge, by e.g. producing and maintaining technical documentation, and sharing developments in the state-of-the-art.

· Survey literature and implement state-of-the-art techniques and tools (such as AI, deep learning, machine learning, etc) to solve challenging problems.

· Collaborate with industry partners, affiliated research institutes and other relevant stakeholders to contribute to grant proposals for research funding consistent with the strategic goals of TCOMS.

· Any other duties as assigned by supervisor.

Requirements:

Bachelor's/Master's Degree in Electrical Engineering, Computer Engineering / Science, Mechatronics, or other related disciplines.

Work Experience:

1. Preferably having relevant research/industry experience with competent knowledge in some of the following areas:

a. Control system applications or experiments using Advanced/PID control

b. Common PLC/SCADA/Embedded Controller systems.

c. Electrical motor/inverter control systems

d. Robotics

e. Digital twins

2. Knowledge of software such as LabView, MATLAB, etc. and experience with engineering simulations and prototyping tools.

Other Requirements:

· Good interpersonal and communications skills.

· Ability to adapt and work effectively as members of a team.

· Resourceful and self-driven with professional integrity.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

Job description

1. Perform research in the following areas relating to coastal protection and adaptation to climate change:

- Wave attenuation over mangroves, seagrasses and coral reefs

- Feasibility of floating wetlands

2. Conduct literature review, field surveys and liaise with relevant government agencies to establish configurations of coastal vegetation/coral which are representative of those commonly found in Singapore.

3. Assist in planning and executing physical modelling and simulations involving free-surface waves interacting with artificial coastal vegetation/corals, as well as waves interacting with floating wetlands.

4. Perform numerical modelling and simulations using Computational Fluid Dynamics (CFD) and relevant tools for validation with model test results, and subsequently conduct parametric study and interface with other research partners.

5. Any other duties as assigned by supervisor.

Job Requirements

Qualification & Field of Study:

Bachelor/Master's Degree in Coastal Engineering, Civil/Mechanical Engineering, Naval Architecture, Ocean Engineering or other related disciplines.

Work Experience:

1. Preferably having relevant research/industry experience with competent knowledge in some of the following areas:

- Coastal engineering, civil engineering and/or naval architecture.

2. Prior experience/knowledge of the following software/programming languages will be preferred:

- CAD software such as SolidWorks, Rhino, and/or AutoCAD

- CFD tools such as OpenFOAM, and/or StarCCM+

- Hydrodynamic analysis tools such as SESAM, OrcaFlex and/or WAMIT

- Data analysis tools such as MATLAB

- Programming languages such as python, C++ and/or FORTRAN

3. Experience with model tests in wave flumes or basins, including experimental design, model setup, sensing and data acquisition, will be an advantage.

Other Requirements:

- Good interpersonal and communications skills.

- Ability to adapt and work effectively as members of a team.

- Resourceful and self-driven with a high degree of professional integrity.

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 candidate will be working on projects related to vessel electrification and underwater robot.

Job description

1. Implement state-of-the-art techniques and tools such as data-driven modelling, AI, deep learning, machine learning etc, to solve challenging problems.

2. Perform dynamic modelling of physical systems, control design and the coupling of numerical and physical systems applied to electric vessels, underwater Robotics and/or other systems operating in the ocean environment.

3. Develop hardware and software control architectures, sensing systems to support R&D in the areas of offshore hydrodynamics and fluid-structure interactions. This includes developing, testing, troubleshooting software and verification procedures.

4. Develop engineering requirements, specification and validation criteria for high-quality research using combinations of physical experiments, sensing, numerical simulations as well as data analytics to develop integrated physical-numerical modelling, simulations and applications.

5. Survey literature and implement state-of-the-art techniques and tools (such as AI, deep learning, machine learning, etc) to solve challenging problems.

6. Collaborate with industry partners, affiliated research institutes and other relevant stakeholders to contribute to grant proposals for research funding consistent with the strategic goals of TCOMS.

7. Any other duties as assigned by supervisor.

Job Requirements

Qualification & Field of Study:

The candidate should have a background in engineering / computing or related fields.

Other Requirements:

· Good interpersonal and communications skills.

· Ability to adapt and work effectively as members of a team.

· Resourceful and self-driven with a high degree of professional integrity.

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.

KEY ROLES AND RESPONSIBILITIES:

The candidate will be responsible for designing and implementing instrumentation and data acquisition solutions and systems to be deployed on site, ensuring that the solutions are reliable and scalable. The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans. The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

QUALIFICATIONS & EXPERIENCE

· Bachelor degree / Diploma in Engineering, Computer Science or any other related field

· Hands-on implementation experience in instrumentation and data acquisition

· Experience in the domain area / technology / programming languages and Communication/Data protocols

· Experience in code management and deployment

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.

Company Introduction

SepPure Technologies is a CleanTech company revolutionizing energy-intensive chemical separation processes through the application of novel membrane materials and processes. We are passionate about making a positive impact on the world through sustainable technology. Our chemical-resistant nanofiltration membranes are disrupting traditional chemical separation processes, such as distillation and evaporation, reducing global energy use, emissions, and pollution. With up to 15% of the world's total energy spent on industrial-scale chemical separations, SEPPURE's sustainable process is a game changer. We are currently working on transformative projects in the edible oil, pharmaceutical, semiconductor, solvents, and fine-chemical industries. If you enjoy working in an innovative environment and want to be part of creating a sustainable future through CleanTech innovation, we have a great opportunity for you.

Job Description

SEPPURE Pte Ltd is seeking a dedicated and detail-oriented Research Engineer to join our Applications Team in Singapore. The Research Engineer will work closely with the team to develop flatsheet and hollow fibre membranes for organic solvent nanofiltration applications. The Research Engineer will also be required to plan and conduct experiments to evaluate the performance of membranes, based on robust engineering and scientific techniques. The Research Engineer may also be required to assist in the evaluation of data and provide recommendations for membrane development.

Key Responsibilities

Membrane research and development

• Keep up-to-date with latest membrane technology development
• Support the development of dope formulation for membrane fabrication
• Modify processes to improve membrane performance
• Develop methods for membrane characterisation and performance evaluation
• Ensure high repeatability for experiments and data collection
• Maintain documentation and databases for research and development

Qualifications

Must have:

1. B.Sc in chemical engineering or related fields
2. Good understanding of polymer chemistry, design of experiment, data analysis and process troubleshooting
3. Good problem-solving skills
4. Team player with strong communication skills

Good to have:

1. Working experience in developing hollow fiber or flat sheet membranes

Worked in a lab environment

Purpose: This position seeks to recruit an experienced research engineer to assist in developing new sustainable methodologies for chemical breakdown of waste plastics.

Job Responsibilities:

• The researcher will be involved in and contribute actively to waste plastics upcycling research, including but not limited to the following:
• Assist in synthesis and characterisation of homogeneous and heterogeneous catalysts and assist in reaction screening
• Be in charge of essential research equipment and maintennance
• Assist in training and mentoring staff, interns and students as and when required
• Curating and managing experimental data, and assist in preparation of reports, presentations, technological disclosures and manuscripts

Job Requirements:

• MSc in Chemistry or equivalent
• Familiar with chemical synthesis and routine/ essential characterization techniques
• Strong communication and interpersonal skills and ability to work cohesively in a team whilst sharing resources
• Strong interest to learn about new technologies
• Excellent organizational skills including attention to details
• Willingness to learn, with adaptability and flexibility to take on required/necessary tasks beyond the job description

The School of Mechanical & Aerospace Engineering (MAE) invites applications for the position of Research Fellow (Engineer, 3D Printer Hardware Developer).

Key Responsibilities:

The Research Fellow will be responsible for completing the construction and development of multi-material micro-nano 3D printers (experimental platforms) based on new processes, and to realize the manufacture and application of parts.

• Design the mechanical structure, control system architecture scheme, CAD model slicing scheme of the new multi-material micro-nano 3D printer, and complete the construction and development of the mechanical system;
• Based on the mechanical structure of the designed multi-material micro-nano 3D printer and the required process route, the automation of the system is realized, and the coupling development of the multi-material micro-nano 3D printer machinery and control system is completed;
• Realize the successful manufacture and application exploration of multi-material composite parts with complex shapes;
• Technical write up and presentation.

​

Job Requirements:

• PhD Degree in Mechanical Engineering/Automation/Control/Material Processing/Robotics.
• Experience in Design, construction and system integration of complex precision mechanical equipment.
• Experience in Additive manufacturing process and materials based on vat light curing (SLA, DLP).
• Preferably with experience or research experience building 3D printers from the ground up.
• Experience in C/C++ programming for embedded system and Machine GUI Design.
• Experience in development of SLA, DLP 3D printer (experimental platform);
• Experience in Preparation and application of functional polymers
• Experience in Solve practical engineering problems in the process of automation equipment development
• A team player and technically motivated to solve problems.
• Good interpersonal and communication skills.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Overview

We are looking for people with a strong background in Computation & data infrastructure and/or building data systems. They must be comfortable working with a range of stakeholders and functional teams including Students, Faculty, IT and External Collaborators. The right candidate will have a passion for working with numerous small research teams to assist in managing their Infrastructure needs and advise them on best practices to engineer their projects efficiently.

Responsibilities

INFRASTUCTURE MANAGEMENT (50%):
• Maintain servers, including file , web , proxy servers, including security patches.
• Allocation of compute / storage resources as needed.
• Analyse institute infrastructure needs to implement for services providing improvements to systems.
• Management of the Institute Website.
• Liaise with Global IT teams to ensure compliance to their policies and be a single point of contact for the institute for troubleshooting.
• Manage recording and streaming systems during regular seminars / Conferences and workshops.

DATA ENGINEERING (25%):
• Support research teams with advice on efficient Data Engineering practices including automation of data pipelines, data cleansing, integrity checks etc.
• Develop processes to handle remote data access / management in compliance with security best practices (and appropriate policies)
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.

SYSTEM DEVELOPMENT (25%):
• Create APIs for integrate data source into functional blocks of software & services.
• Create APIs for downstream usage of Data models.
• Coordinate with different functional teams to implement models and monitor outcome
• Promote security best practices for application development

Requirements

• Bachelor degree in Computer Science, Operations Research, Engineering with more than 3 years relevant experience
• Experience in maintaining virtualised server infrastructure and creative problem solving within large IT infrastructure.
• Deep understanding of statistical analysis, data mining or machine learning
• Practical experience in working with large structured and unstructured data set
• Ability to think analytically and deliver results that drive business decision making
• Team player to build strong partnerships
• Have competency in one or more of the programming languages or tools: Python, R, Spark
• Experience in security engineering will be a plus
• Experience or knowledge in AWS/GCP environment will be a plus
• Prepared to take on new challenges and ad-hoc requests that need a quick turn-around
• Excellent written and verbal communication skills for coordinating across teams.

We are looking for a candidate for high-speed analog and mixed-signal integrated circuit design. This candidate will contribute to the development of high-speed silicon photonics transceiver for next generation wireline communication system. This requires the candidate to work closely with the optics team on the electro/optical co-design as well as system integration and validation.

• Perform system level analysis and design, to derive circuit-level design specifications.
• Design and tapeout ICs which include state-of-the-art circuit blocks e.g. analog-to-digital converter, equalizers (CTLE, DFE) as part of the high-speed data link system.
• Work together with team to investigate novel circuit/system solutions to create new inventions

Job Requirements

• Qualification & Field of Study: Minimum Bachelor’s degree and above in Electrical Engineering
• Min. Years of Experience: Minimum 2-years of transistor level analog circuit design experience

Other Requirements (e.g. Skills, Competencies)

• Good understanding of CMOS analog and mixed-signal IC design methodologies and successful tapeout experience
• Familiar with analog and mixed-signal IC design and verification flow
• Industry experience would be a plus
• Familiar with the IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Good communication skills (both written and spoken)
• Able to generate high quality scientific publications and patents
• Team player, quick learner and self-driven

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

• Manage collected data from participants.
• Develop algorithms to learn effective visual representation for nutrition estimation.
• Build large multi-modal model for dietary suggestion generation.
• Produce high-quality publications in conferences or journals.

• Minimum Bachelors degree in Computer Science, Information Technology, Information Systems or closely related disciplines.
• Minimum 1 year of relevant research experience in computer vision and multimedia systems.
• Experience in working with food computing and large language models are favorable.
• Applicants with research publications in computer vision and multimedia area are preferred.
• Self-motivated and passionate about research.

#LI-XL1

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

Relying on TikTok's global e-commerce scene, the team is committed to optimizing TikTok’s global e-commerce logistics fulfillment services through technologies such as machine learning, deep learning, and operational research optimization. Externally, it provides cheap, fast, high-quality logistics services that meet different needs for global consumers and merchants; internally, it builds an intelligent logistics system to save costs, save time, improve efficiency, and improve stability for the fulfillment of orders.

The intelligent logistics system includes: warehouse location problem, logistics network, wave planning, intelligent order allocation, order fulfilment time forecast, order combination , etc; at the same time, the team will also conduct in-depth exploration in some non-traditional business directions, such as users expect delivery time prediction, cash-on-delivery order risk control, packaging material recommendation, etc. Through the in-depth iteration of traditional business and non-traditional business, build a smart logistics system to achieve the ultimate goal of reducing costs, increasing efficiency, and improving user experience.

We are looking for talented individuals to join us in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- Responsible for the developing of deep learning models and related intelligent systems for the supply chain and logistics of international E-Commerce business.

- Participate in the process of optimizing the business results by using some of the following techniques: computer vision, natural language processing, sales prediction, time-series, geo-coding, etc..

- Keep track of cutting-edge technologies in the fields of computer vision, natural language processing and multi-modal machine learning; make use of these technologies to optimize the results in tasks such as fine-grained product style analysis, product similarity analysis and product attribute recognition, etc.

- 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

- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline

- Have in-depth study in a certain field of natural language processing or computer vision, including but not limited to: image/video classification and recognition, image segmentation, object detection, OCR, graph neural network, text classification, NER, multimodal, unsupervised and self-supervised learning;

- Familiar with at least one framework of TensorFlow / PyTorch / MXNet and its training and deployment details, as well as the training acceleration methods such as mixed precision training and distributed training;

- Familiar with the latest research and technology in model compression acceleration, including but not limited to model quantization, pruning, knowledge distillation, as well as inference frameworks such as TensorRT;

- Have strong practical ability, winners in Kaggle, COCO, ImageNet, NOI/IOI and other competitions are preferred, and those who have papers published in relevant competitions and top academic conferences (such as CVPR, ICCV, ECCV, ACL, EMNLP, etc.) are preferred as well;

- Familiar with AutoML related algorithms, preferably with experience in automatic search of network structure or hyper parameters;

- Familiar with big data related frameworks and application, those who are familiar with MR or Spark are preferred

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.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected].

We are looking for a candidate for high-speed analog integrated circuit design. This candidate will contribute to the development of high linearity silicon photonics modulators for 6G and beyond communication systems. This requires the candidate to work closely with the optics team on the electro/optical co-design as well as system integration and validation.

• Perform system level analysis and design, to derive circuit-level design specifications
• Design and tapeout ICs which include state-of-the-art circuit blocks, e.g. wideband linear low-noise amplifier and transimpedance amplifier with a focus on circuits interfacing with silicon photonics elements
• Work together with team to investigate novel circuit/system solutions to create new inventions

Job Requirements

• Qualification & Field of Study: Minimum Bachelor’s degree and above in Electronic Engineering
• Min. Years of Experience: Minimum 2-years of transistor level analog circuit design experience

Other Requirements (e.g. Skills, Competencies)

• Good understanding of CMOS analog IC design methodologies and successful tapeout experience
• Familiar with analog IC design and verification flow
• Industry experience would be a plus
• Familiar with the IC test equipment such as oscilloscope, spectrum analyzer, etc.
• Good communication skills (both written and spoken)
• Able to generate high quality scientific publications and patents
• Team player, quick learner and self-driven

Job Description

Validate the TC&IS Development, Configuration, Validation and Management Plan application. Day-to-day, you’ll work closely with teams across the business (systems), achieve the specified software quality requirements detailed in System Engineering and TCMS Software Quality Plan and informs the team members of their associated responsibilities and much more.

• Specifically take care of managing the development of all Train Control & Information Systems (TC&IS) deliverables (sub-system, electrical and software work products) for a Project from offer, specification, design ,validation to end of warranty period, but also ensuring the quality on all domain of his/her project (Schematic, Apparatus, Software…).
  
  Your Responsibilities and Challenges
  
  Managing the design planning and the achievement of the Design/Verification reviews in all step of the Design.
• Delivering all TC&IS Engineering outputs including, Train Control and Monitoring System Requirements and Architecture, Software specification or Functional Design Description, Software, Electrical Schemes and Electrical Products definition (with the support of Electrical Lead Engineer), in compliance with the Engineering Quality, Cost and Delay commitments.
• Managing interface and ensure follow up of sub-systems (electrical components, PAPIS (Public Address and Passengers Information Systems), CCTV, Multimedia, TCMS, Event recorder, Train Ground Communication, ATC(Automatic Train Control)/Safety equipment).
• Ensuring standardization and maximize the carry over with previous project.
• Supporting Industrial and Manufacturing areas during First Train Assembly.
• Supporting Commissioning and Validation area during First Train tests.
• Ensuring that the cybersecurity requirements are properly managed on each project/program and follow-up the main open actions for "at risk" or challenging projects/programs.
• Functional management of the Train Control & IS resources of his/her project.
• Formulating a design solution that fulfils the specified customer requirements by defining the architecture and performances of the TC&IS subsystems and functional studies he/she is responsible for, maximizing the re-use of service-proven design patterns.
• Monitoring, control and consolidate the TC & IS work package (Work Package Review, Risk mitigation, Quality Cost & Delay project target) and ensure the reporting activities to the Project Engineering Manager of the project (PrEM).
• Defining the applicable TCMS configuration (low voltage scheme, apparatus, and software version) with the Train System Engineer, Train Design Engineer, Project Engineering Manager and its team.
• Contributing to the return of experiences on his/her domain (Software, Schematic, Apparatus).
• Contributing for technical specificities and expertise to advice the Project Team and/or Customer.
• Supporting the other stakeholders (design, sourcing, validation etc..) in the understanding of the Cybersecurity processes and actions in particular with regards to the interfaces in between the teams.
• Being the responsible at Project level for the transverse Cybersecurity actions and for topics addressed at: Project (progress plan), Region, Métier Manager level.

Qualifications

• Rolling stock functional engineer experiences on several train functions, >5 yrs.
• Work package and Team management experiences.
• Hands-on electrical and schematic design activity.
• Hands-on experience in design & development of model based control systems using application tools like DCUTerm, Control Build, Matlab / Simulink, Matrix or similar tools.
• Knowledge of network topologies and interfaces for Serial, Ethernet, MVB and other industrial communication network.
• Communication abilities.
• Innovation

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.

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.

About Tiktok

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

Our team's mission is to empower TikTok users to turn creativity into reality via videos. We build the core video creation product to support tens of millions of TikTok creators every day. All the viral props and effects you find on TikTok are developed by us, via close collaboration with TikTok AR effects and multimedia teams. Our team focuses on the research of next-gen technologies such as AIGC. Our mission is to make cutting-edge AI technology accessible, and bring possibilities to all TikTok users.

About the Role

We are looking for a highly motivated research engineer to join our computer vision team in Singapore. In this role, you will work with a team of leading researchers and experienced engineers working in the AIGC domain. You will be responsible for building & maintaining data pipelines, writing bug-free machine learning code, and implementing the sciences behind the systems. The ideal candidate should be experienced in processing large datasets (e.g. Images, videos, texts), and have past experience in building computer vision and/or generative models using pytorch framework, and to be comfortable working with large-scale distributed machine learning training pipelines.

Responsibilities

• Develop and improve current data loading and processing pipelines on a very large scale (e.g. On PBs scale).

• Work along with researchers and engineers to help improve current generative modeling pipelines.

• Be self-motivated to come up with new solutions that can improve modeling outputs, training pipelines and datasets.

• Be responsible for maintaining and improving codebases. Attend research & paper reading groups for ideas brainstorming.

Qualifications

• At least a Bachelor’s degree in any of these faculties: Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Studies)

• Minimum 3 years of experience as an AI researcher/scientist with strong programming skills

• Strong background in computer vision, including experience with deep learning frameworks such as PyTorch

• Experience with image and video processing techniques and libraries

• Experience with computer vision modeling and training

• Experience in processing large-scale datasets, including images, videos or texts

• Experience in building large-scale distributed machine learning systems will be a plus

• Self-motivated and driven to learn & try new things (e.g. open sourced github repos), especially in AIGC

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.

We are looking for talented individuals to join us in 2024. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

About the Team

Our team's mission is to empower TikTok users to turn creativity into reality via videos. We build the core video creation product to support tens of millions of TikTok creators every day. All the viral props and effects you find on TikTok are developed by us, via close collaboration with TikTok AR effects and multimedia teams. Our team focuses on the research of next-gen technologies such as AIGC. Our mission is to make cutting-edge AI technology accessible, and bring possibilities to all TikTok users.

About the Role

We are looking for a highly motivated research engineer to join our computer vision team in Singapore. In this role, you will work with a team of leading researchers and experienced engineers working in the AIGC domain. You will be responsible for building & maintaining data pipelines, writing bug-free machine learning code, and implementing the sciences behind the systems. The ideal candidate should be experienced in processing large datasets (e.g. Images, videos, texts), and have past experience in building computer vision and/or generative models using pytorch framework, and to be comfortable working with large-scale distributed machine learning training pipelines.

Responsibilities

• Develop and improve current data loading and processing pipelines on a very large scale (e.g. On PBs scale)

• Work along with researchers and engineers to help improve current generative modeling pipelines

• Be self-motivated to come up with new solutions that can improve modeling outputs, training pipelines and datasets

• Be responsible for maintaining and improving codebases. Attend research & paper reading groups for ideas brainstorming

Qualifications

• Final year or recent graduate with a background in computer science, electrical engineering, statistics, applied mathematics, data science or other related disciplines

• Strong programming skills

• Background in computer vision, including experience with deep learning frameworks such as PyTorch

• Experience with image and video processing techniques and libraries

• Experience with computer vision modeling and training

• Experience in processing large-scale datasets, including images, videos or texts

• Experience in building large-scale distributed machine learning systems will be a plus

• Self-motivated and driven to learn & try new things (e.g. open sourced github repos), especially in AIGC

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.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected].

The ideal candidate will be responsible for developing high-quality cybersecurity solutions. They will also be responsible for designing and implementing testable and scalable code.

Responsibilities:

• Develop quality software and network applications.
• Analyze and improve existing software applications.
• Design highly scalable, testable code.
• Discover and fix programming bugs.

Qualifications:

• Bachelor's degree or equivalent experience in Computer Science or related field.
• Development experience with C/C++ and Python.
• Good communication skills, and ability to collaborate with a team of researchers and engineers.

Good to have:

• Experience with computer networks and network programming.
• Experience with end-product development.
• Experience or interest in Industrial Control Systems, BEMS, or IoT.

Application Instructions:

For prompt attention, a copy of your CV can also be submitted to [email protected]

NTI-NTU Corporate Laboratory is a collaboration between Nanofilm Technologies International Limited (“Nanofilm”, “NTI”), Nanyang Technological University (“NTU”) and supported by Singapore under RIE2025. The Laboratory’s objective is to propel Innovation and Technologies commercialisation through NTU’s innovation and NTI’s deep technology. NTI-NTU Corporate Laboratory aligns with Singapore’s RIE2025 handbook – which emphasises the nation’s commitment to research and innovation, aiming to drive economic growth and address national challenges.

The Nanyang Technological University NTI-NTU Corporate Laboratory is looking for an Research Engineer II (Research Project Management Officer) to oversee operations, manage lab equipment, and maintain a safe, efficient environment. Responsible for coordinating equipment, ensuring compliance with safety standards, and leading a team towards successful research and development outcomes.

Key Responsibilities:

• Lead and coordinate concurrent research projects together with Corp Lab director, PIs and ensuring they are completed within time and budget, and meet quality standards.
• Oversee research laboratory and facility operations, ensuring safety and efficiency of research activities in Corp Lab. Uphold all relevant health and safety regulations from university within the laboratory.
• Coordinate equipment scheduling, delivery, and maintenance together with researchers and project PIs
• Management of research activities associated with inventory, budget, and liaise with various research programs and departments.
• Lead and train laboratory research staff, fostering a collaborative environment.
• Stay updated on technological advancements and implement quality controls.

Job Requirements:

• Bachelor’s or Master’s degree in a scientific, engineering, or related field.
• Research and development knowledge in nanotechnologies and thin film technologies are highly sought.
• Proven experience as a Laboratory Manager or in a similar role, with a strong focus on laboratory and facilities management.
• In-depth understanding of research laboratory equipment, operations, and principles.
• Exceptional organizational, leadership, and decision-making skills.
• Proficiency in relevant software, laboratory information systems, and tools.
• Effective communication and interpersonal skills, capable of maintaining robust working relationships.
• Added Advantage: Experience working in research institutes or a university environment, demonstrating familiarity with the specific operational, regulatory, and audit/compliance aspects of these settings.

We regret that only shortlisted candidates will be notified.

Job description
The candidate will be part of a team solving computational bioengineering problems. The responsibilities include but are not limited to:

• Research, develop and evaluate algorithms and implementations
• Work with team members to develop disease transmission models
• Brainstorming technical solutions

Job requirements

• Master or Bachelor degree in chemical engineering and bioengineering related fields
• Strong programming skills in Python (preferred) or R
• Knowledge and demonstrable experience in academic research
• Smart and hardworking individual who can work under pressure within a tight deadline
• A good team player with can-do attitude
• Solid communication skills and problem-solving 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.

​Our Client is a gaming start up company in Singapore, who is seeking to recruit a Research Engineer , Nature Language Process for Human Cognition and Action.

Research Engineer, Nature Language Process for Human Cognition and Action

Job Responsibilities

· Apply research to advance technology of deep image/video/text generation for applications in game content creation and language agents toward game simulation.

· Deliver advances in downstream experiments or demos using the application of models.

Qualifications

· Currently has, or is in the process of obtaining a Ms degree in computer science, artificial intelligence, cognitive psychology, robotics, a related area.

· 1+ years of experience with at least one automatic differentiation framework (PyTorch, Tensorflow, etc)

· Primary interest in large language model application delivery, and first-authored publications at leading workshops, conferences, or journals is preferred.

JJ Consulting Services

EA Licence No.: 12C6207

Applicants are invited to send in a MS Word resume to [email protected] stating position applying for/present/expected salaries and earliest available date.

We thank all applicants in advance and regret that only short listed candidates will be notified.

​

The National Centre for Research in Digital Trust invites applications for the position of Research Engineer II.

Nanyang Technological University’s National Centre for Research in Digital Trust (DTC) is a Trust Technology Research Centre to execute a national program to help put Singapore into a strong trust hub. The key objective is to support efforts to create a trusted digital environment for its people and businesses by providing businesses and consumers with greater assurance and confidence as they digitalize.

Key Responsibilities:

• Conduct research and development in trust technologies – translating algorithms into tools and frameworks and implementing working prototypes that can demonstrate how research outputs can be innovated to build new capabilities.
• Work closely with Centre’s researchers to design and develop research prototypes into the proof-of-concept systems.
• Design and build working tools that can support the technology transfer of new capabilities to research partners and can be used to showcase the value of a given research outcome.
• Write and maintain technical documentation, presentations, and papers on research into trust technologies testing, helping to educate and raise the overall competency in emerging areas of trust technologies.
• Engage global partners and researchers to understand latest trends and advance Singapore’s mindshare in this domain.

Job Requirements:

• Master’s degree in computer science/ engineering or related fields required.
• Candidates with minimum of 5 years continuous working experience in a similar role will be considered when appropriate.
• Bachelor degree with minimum 8 years relevant experience may be considered
• Proficiency in programming languages Java, C/C++ is a must.
• Experience in other programming languages and/or frameworks such as Python, Spring will be an advantage.
• Proficiency with using common Linux distributions such as Ubuntu, CentOS is a must.
• Proficiency and experience in developing network and communication protocols and using socket programming in cloud-based systems is a must.
• Proficiency in installing, configuring and using SQL database is a must. Experience in other data processing technologies such as NoSQL, Hadoop will be an advantage.
• Proficiency and experience in working with different virtualization technologies to enhance cloud service system performance is a must.
• Experience in developing ML systems from end to end, including data exploration, feature engineering, model training/evaluation will be advantageous.

Competencies:

• Good communication skills and some interdisciplinary interest is desired, to be able to interact with researchers at the Centre.
• Ability to work independently and to develop solutions under strict timelines is a must.
• Ability to code-switch effortlessly between talking business and talking tech, and can help stakeholders, engineers, and businesses easily understand difficult research tech concepts.
• Good knowledge of system platform development, socket programming, middleware technologies, API development, related application frameworks and service layer models.
• Familiarity with general API security concepts (such as key validation, authentication, authorisation)
• Good understanding of relational database and Unix shell scripting skills.

We regret that only shortlisted candidates will be notified.

School of Mechanical & Aerospace Engineering (MAE) is seeking enthusiastic individuals with exceptional credentials to join a vibrant and dynamic research group undertaking fundamental research into eVTOL Technologies. The work is carried out at the eVTOL Research and Innovation Centre at Nanyang Technological University, Singapore. The environment provides excellent training in a highly motivated working environment with state-of-the-art facilities.

Key Responsibilities:

• Undertake Computer-Aided Design (CAD) and modelling of composite aircraft.
• Be responsible for structure design and mechanical installation design.
• Preparing presentations and reports for agencies and industrial partners.
• Supporting the team in research and lab developments.

Job Requirements:

• Beng / MEng in Engineering from a recognized university and excels in the area of Aerospace, or Mechanical Engineering or equivalent.
• The position requires high creativity and research capability.
• At least 3 years of professional work experience in CAD modelling is required (must show examples from work portfolio).
• Experience in composite structure design is preferred.
• Good team player, enthusiastic and good English skills.
• Able to perform multi-task, work under pressure and meet deadlines.
• Having industrial experience would be required.

We regret that only shortlisted candidates will be notified.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Institute for Applied Learning Sciences and Educational Technology (ALSET) (to be renamed Centre for Embodied Learning & Living (CELL)) has an opening for a Senior Embedded Systems Engineer (Research Associate). As the Senior Embedded Systems Engineer of our research center, you will play a key role in developing innovative solutions that enhance embodied learning.

As a Senior Embedded Systems Engineer at CELL, you will be a vital contributor to our research initiatives, specializing in the design, development, and optimization of embedded systems that support embodied learning technologies. Working in a collaborative and multidisciplinary environment, you will lead the implementation of hardware and software solutions, ensuring they align with the center's research objectives and contribute to the overall success of our research initiatives. You will report to the Director of the center.

The major responsibilities include:

• Lead the prototyping and development of technologies that embody research insights, ensuring feasibility and scalability
• Collaborate with researchers to understand the theoretical underpinnings of embodied learning technologies
• Translate research findings into practical engineering solutions with a focus on real-world applicability
• Engage with educators and educational institutions to understand needs and challenges
• Customize and adapt embodied learning solutions to suit different educational contexts
• Work closely with researchers to understand the unique requirements of embodied learning projects and contribute technical expertise to enhance project outcomes
• Prepare reports and presentations to communicate progress and outcomes to both technical and non-technical stakeholders

Qualifications

• Masters in Engineering or equivalent
• At least 10 years experience in designing Embedded Systems, Internet of Things, Wireless Sensors, and Digital Signal Processing
• Knowledge of human-computer interaction (HCI) and user-centered design principles
• Experience in developing high fidelity prototypes ready for field testing
• Experience working with interdisciplinary teams and translating research findings into practical applications.
• Excellent written and verbal communication skills
• Experience in Entrepreneurship
• Solid organizational skills including attention to detail and multi-tasking skills
• Experience working with cross-functional teams in a dynamic environment

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

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

We regret that only shortlisted candidates will be notified.

Job Description

Research Engineer position in the Department of Chemical and Bimolecular Engineering at National University of Singapore (NUS). The aim of this position is to develop in-depth understanding of the electrochemical CO2 reduction, and to design new and cost-effective electrocatalysts and reactors to achieve efficient CO2 conversion to liquid fuels conversion. Extensive state-of-the-art infrastructures for materials synthesis and physical characterizations are established at the Department.

The research engineer is required to help in guiding students, visiting scholars, and assisting the establishment of larger research applications and facilitating initiatives with respect to sharing and developing infrastructure for electrocatalysis research within NUS.

Job Requirements

• Possess at least a Master degree (or other equivalent degrees) in chemical engineering, chemistry, materials science or other relevant related field.
• Experience with electrocatalysis, or similar chemistries, is considered advantageous. Experience with material characterization techniques like SEM/EDS, TEM, STEM, XRD, XAS, XPS, FTIR, and Raman will also be highly considered.
• Since cross disciplinary work is essential for the success of this project, it is considered positive if the candidate can demonstrate experience in similar work environment.
• Good written and spoken communication.
• Open to fixed term contract.