Total 551 software engineer job vacancies in Education / Training category in Singapore

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.

We are looking for a research engineer / fellow to help us develop a novel design for a blast door system as part of an industrial research project developing. The results of this project will be used in projects throughout Singapore. It is our aim to include all the door components in the analysis, making this a holistically developed solution.
The research will be conducted using numerical simulations, experiments and analytical solutions. The successful candidate will have a chance to acquire in depth experience in all these aspects of protective research and design.

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.
• Be responsible for these technical deliverables:Develop models of the door system using advanced finite element software.
  Plan and conduct blast testing of the proposed solutions.
  Conduct laboratory tests of components as needed.
  Develop analytical models for fast design.
  
• Carry out Risk Assessments and ensure compliance with Work, Safety and Health Regulations.
• Coordinate procurement and liaise with vendors/suppliers.
• Work independently, as well as within a team, to ensure the achievement of the project objectives and proper operation and maintenance of equipment.

Job Requirements:

• Have a basic knowledge of structural dynamics.
• Have a degree (preferably Master’s or PhD) in mechanical engineering, electrical / electronics engineering or related domains.
• Knowledge of blast and shock loading theory and applications would be advantageous
• Knowledge of non linear materials modelling would be advantageous

Key Competencies

• Proficient in technical writing and presentation
• Possess strong analytical and critical thinking skills
• Show strong initiative and take ownership of work
• Have some experience in the use of advanced FEM analysis. This could include experience in ABAQUS, LS-Dyna, Radioss or equivalent software.
• Able to support other related laboratory tasks as needed
• Willing to learn new skills as needed for the project

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore is recruiting a Research Engineer.

The successful candidate will work on numerical simulations of fluid-structure interaction, including waves and tides interacting with large deformable platforms and renewable energy devices.

Job Requirements

• Possess at least a Bachelor’s degree in hydrodynamics, coastal/ocean engineering, or a related discipline. Masters degree in related field will be advantageous.
• Knowledge of coastal dynamics such as waves and tides.
• Strong writing and communication skills.
• Good publication record is advantageous.
• Open to fixed term contract.

Wee Kim Wee School of Communication and Information (WKWSCI) is hiring a full-time Research Engineer I for a project investigating how information cascades in closed messaging app groups, such as Telegram.

The engineer will be developing and applying machine learning, network analysis, and multimodal data to understand information cascades in closed messaging apps. The engineer is expected to conduct data mining, network analysis and machine learning on Telegram chats to understand information cascades revolving national issues in closed messaging apps. The engineer will work closely with research project members at WKWSCI, to deliver algorithms that automate user classification and topic modelling, that will later serve as protocols for other topics.

Selected candidate will work closely with Assoc Prof Edson Tandoc Jr.

Key Responsibilities:

• Develop solutions for data mining of text and stickers/images/videos on Telegram
• Develop solutions to categorize Telegram users based on network topologies
• Develop machine learning models to predict user roles and information cascade patterns
• Collaborate with other researchers in a multi-disciplinary team, while work independently on given tasks

Job Requirements:

• Bachelor degree or Diploma in Computer Science, Programming, Data Science or a related field
• Preferably 2 and more years of professional programming experience
• Experience in Natural Language Processing and Computer Vision
• Experience in Network Analysis and Machine Learning
• Writing clean, readable, and easily maintainable code
• Ability to manage your own time effectively and deliver required tasks with minimal supervision
• Good teamwork skills
• Interest in applications of technology in academic research

We regret to inform that only shortlisted candidates will be notified.

Wee Kim Wee School of Communication and Information (WKWSCI) is hiring a full-time Research Engineer I for a project investigating how information cascades in closed messaging app groups, such as Telegram.

The engineer will be developing and applying machine learning, network analysis, and multimodal data to understand information cascades in closed messaging apps.  The engineer is expected to conduct data mining, network analysis and machine learning on Telegram chats to understand information cascades revolving national issues in closed messaging apps. The engineer will work closely with research project members at WKWSCI, to deliver algorithms that automate user classification and topic modelling, that will later serve as protocols for other topics.

Selected candidate will work closely with Assoc Prof Edson Tandoc Jr.

Key Responsibilities:

• Develop solutions for data mining of text and stickers/images/videos on Telegram

• Develop solutions to categorize Telegram users based on network topologies

• Develop machine learning models to predict user roles and information cascade patterns

• Collaborate with other researchers in a multi-disciplinary team, while work independently on given tasks

Job Requirements:

• Bachelor degree or Diploma in Computer Science, Programming, Data Science or a related field

• Preferably 2 and more years of professional programming experience

• Experience in Natural Language Processing and Computer Vision

• Experience in Network Analysis and Machine Learning

• Writing clean, readable, and easily maintainable code

• Ability to manage your own time effectively and deliver required tasks with minimal supervision

• Good teamwork skills

• Interest in applications of technology in academic research

We regret to inform 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

For an R&D project in the area of RF and microwave communication and remote sensing systems, we are looking for an experienced designer of microwave power amplifiers (PA).

In this position you will:
• design innovative pulsed and CW power amplifiers for various applications,
• draft specifications based on simulations and measurements,
• test the power amplifiers and write measurement reports,
• devote time on researching innovative power amplifiers, especially in relation to performance and thermal management,
• work with other team members on the integration of the PAs into systems and support testing of these systems,
• participate in meetings and attend conferences where applicable.

The job requires proven experience with PA design and testing tools.

Qualifications

• Possess a Bachelor or Master degree in Electrical Engineering
• Several years of proven experience in the simulation and design of RF and microwave power amplifiers.
• Experience with tools such as ADS and HFSS.
• Experience with measurement of power amplifiers.
• Able to work independently and in a team.
• Open to fixed-term contract.

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.