AiTreat is a global leader in commercial soft tissue massage treatment robotics research and development. Through the fusion of medical and robotics technology, the company innovates and integrates medical robots that support physicians in delivering therapeutic patient care.

AiTreat's commitment to innovation aims to amplify physician productivity and provide patients with precise, consistently effective treatments. AiTreat fosters a dynamic and collaborative environment where creativity and innovation thrive. The team of startup founders, robotics researchers, and physicians work together to make a positive impact on patient well-being.

Project role: Soft Tissue Treatment Robotic System (EMMA7)

Project Description: The project focuses on the development of the new EMMA robotic system, a cutting-edge soft tissue massage treatment robot, at AiTreat.

Objective: AiTreat's goal is to create an innovative robotic system that revolutionises patient care by combining medical expertise with advanced robotics technology. Project Impact: The EMMA robotic system aims to address the shortage of skilled massage therapists and enhance the capabilities of physiotherapists in managing cases. It reduces treatment costs while providing consistent, high-quality care to patients.

Role Overview: The Trainee will play a vital role in shaping the future of healthcare through robotics and technology.

Scope of Work:

1. Embedded Systems Development: Collaborate with the team to code and test embedded systems for the EMMA robotic system.
2. PCB Design Contribution: Participate in the design process of the product's principle and partial PCB layouts.
3. Schematic and Diagrams Enhancement: Contribute to refining product schematics, diagrams, and participate in PCB reviews.
4. Reliability Testing: Assist in the design and execution of reliability tests to ensure the EMMA robotic system's performance and safety.
5. Customer Delivery Preparation: Prepare and deliver the EMMA robots to customers, including disassembling, assembling, and repairing the robots.

Aleph Tech is a Climate Tech company specialising in enhancing energy efficiency and expediting decarbonisation in manufacturing plants (e.g. chemicals, pharmaceuticals) and power sectors.

Powered by advanced AI and Digital-Twin technology, our software platform monitors predicts, and reduces energy use and carbon emissions. Our AI-driven system employs advanced machine learning models, aiding plant operators in pinpointing inefficiencies and optimising energy through in-platform alerts and tailored recommendations.

Beyond existing efficiency, our AI generates bespoke renewable energy transition plans for plants to unlock new energy efficiency levels. Our comprehensive approach empowers industries and power sectors to fortify efficiency, curtail environmental impact, and cultivate sustainable practices across the energy value chain, advancing toward a smarter, greener future.

Project role: Machine Learning Engineer

The Trainee will play a crucial role in optimising machine learning models and designing, developing, and implementing the software platform, leveraging the ML-models to optimise energy efficiency. They will collaborate with product manager, chemical engineer, and front-end engineer to:

1. Design, develop or refine the machine learning algorithms and architecture
2. Test, validate, and fine-tune AI-model accuracy and effectiveness in real/operational environment via projects with clients
3. Collaborate with front-end engineer and product manager to improve software platform's architecture, workflow, and design

At Altent Renewables, waste is more than just a burden on the environment and finances – it is an untapped potential reservoir. Their cutting-edge waste conversion technology allows them to extract maximum value from the most challenging waste stream in the industry: wet waste.

As pioneers in advanced waste conversion technology, they are committed to revolutionising how they perceive and manage waste, with a particular emphasis on wet waste.

Project role: Laboratory Testing For Wet Waste Treatment Process

This project is an integral part of Altent Renewables' ongoing efforts to revolutionise waste management by focusing on wet waste, one of the most challenging waste streams in the industry.

Project Objectives:

Process Refinement: The primary objective of this project is to fine-tune advanced waste conversion technology for wet waste treatment. Conducting rigorous laboratory testing optimises the efficiency and effectiveness of our waste treatment process.

Performance Evaluation: Through comprehensive testing and analysis, evaluate the performance of our treatment process under various conditions. This will enable us to identify any potential bottlenecks, weaknesses, or areas for improvement.

Data-Driven Insights: The project aims to generate valuable data regarding the conversion process, waste transformation rates, by-products, and environmental impact. This data-driven approach will guide our decision-making and innovation in waste management. Innovation and Research: Altent Renewables aspire to innovate and pioneer new methods for wet waste treatment. By engaging in laboratory research, they can explore novel techniques, materials, and approaches to enhance the value extraction from wet waste.

Alteredverse, an incubator under YJP Surveyors Pte Ltd, specialises in digital twin geospatial solutions. They provide unique value by offering implementation and consulting services for the Digital Twin Metaverse to governments and businesses.

Leveraging their proficiency in aerial LiDAR, hyper-realistic 3D modeling, and gaming expertise, Alteredverse helps enterprises seamlessly integrate immersive 3D spatial experiences into their digital strategies.

They collaborate closely with Singapore Land Authority (SLA) and Nvidia.

Project role: Data Engineer

The Trainee will be responsible for collecting, preprocessing, labelling, and managing large-scale geospatial point cloud datasets to support the training, validation, and evaluation of Alteredverse’s machine learning models, to ensure the accuracy and quality of Alteredverse’s AI-based 3D asset creation process.

Responsibilities include but are not limited to:

1. Gathering and curating geospatial point cloud data from various sources, including LiDAR, RGBD, and photogrammetry. 
2. Preprocessing and cleaning raw point cloud data to remove noise, and outliers, and ensure data consistency.
3. Labelling and annotating large point clouds for the specified classes/categories accurately and efficiently for point cloud segmentation.
4. Transforming and standardising point cloud data into a unified coordinate system for seamless integration with AI models.
5. Collaborating with Machine Learning Engineers to prepare training datasets, including data augmentation and balancing.
6. Managing and maintaining large-scale datasets to ensure data integrity, security, and accessibility.
7. Developing and optimising data pipelines to efficiently handle and process large volumes of point cloud data.

Alteredverse, an incubator under YJP Surveyors Pte Ltd, specialises in digital twin geospatial solutions. They provide unique value by offering implementation and consulting services for the Digital Twin Metaverse to governments and businesses.

Leveraging their proficiency in aerial LiDAR, hyper-realistic 3D modeling, and gaming expertise, Alteredverse helps enterprises seamlessly integrate immersive 3D spatial experiences into their digital strategies.

They collaborate closely with Singapore Land Authority (SLA) and Nvidia.

Project role: Machine Learning Engineer (Geospatial AI)

The Trainee will play a vital role in developing and optimising cutting-edge AI models for point cloud segmentation and 3D asset creation. They will collaborate with AlteredVerse data engineers, 3D artists, and software engineers to create scalable and efficient solutions for segmenting and converting geospatial point clouds into realistic 3D models.

Key responsibilities of the trainee include:

• research, design and implement state-of-the-art machine learning algorithms and architectures for point cloud segmentation.
• train and fine-tune AI models using large-scale point cloud datasets, ensuring high accuracy and generalisation.
• conduct experiments, evaluate model performance, and iterate on model designs to achieve optimal results.

An understanding of computer vision concepts and machine learning is needed.

Aprisium is a sustainability-focused Deep Tech startup specialising in contamination detection and monitoring - in areas such as space across water, semi-solids and solids serving municipalities and corporates (wastewater, food, and incinerated waste), manufacturing (semi-con, EVs, Batteries etc.), Bio-fuels and (mine drainage, leachates etc.).

Aprisium helps companies and governments detect, monitor contaminants, and deliver insights for remediation by continuous and autonomous detection and monitoring of parameters in their discharges. Their efforts contribute to achieving 7 of the 17 United Nations Sustainable Development Goals (UNSDGs) related to contamination.

Project role: Chemical Engineer (Electrochemistry)

The Chemist in the Electrochemical Lab will play a crucial role in supporting the development and testing of novel electrochemical technologies. Their primary responsibilities involve conducting laboratory experiments, analysing data, and collaborating with the senior research team to achieve project objectives.

This is an excellent opportunity for a driven individual eager to learn, grow their skills, and significantly impact the development of innovative solutions.

Aprisium is a sustainability-focused Deep Tech startup specialising in contamination detection and monitoring - in areas such as space across water, semi-solids and solids serving municipalities and corporates (wastewater, food, and incinerated waste), manufacturing (semi-con, EVs, Batteries etc.), Bio-fuels and (mine drainage, leachates etc.).

Aprisium helps companies and governments detect, monitor contaminants, and deliver insights for remediation by continuous and autonomous detection and monitoring of parameters in their discharges. Their efforts contribute to achieving 7 of the 17 United Nations Sustainable Development Goals (UNSDGs) related to contamination.

Project role: Mechatronics Engineer (IOT enabled Autonomous Environmental Sensor Detection Device)

The Mechatronics Engineer will design, develop, and optimise mechatronic systems to support our electrochemical technologies. They will collaborate closely with the research and development team to create integrated and efficient solutions.

This role offers an exciting opportunity to contribute to cutting-edge technology and directly impact the future of sustainability in the environmental industry.

ArmasTec™ is more than just an exoskeleton Deep Tech startup; they are pioneers pushing the boundaries of human capabilities. Based in the heart of Singapore, ArmasTec™ is poised to change the world's perspective on movement and accessibility.

Founded on the principles of innovation, empathy, and sustainability, their groundbreaking AireLevate™ exoskeleton technology is bridging the gap between man and machine, unlocking unparalleled opportunities for individuals to live fuller, more active lives.

Project role: Exoskeleton Adoption Engineer

Job Scope: The job is a hybrid role that utilises technical engineering skills to affect business outcomes.

1. Kick-start product adoption by utilising technical and engineering skills in order to adapt and customise the exoskeleton based on the operational needs of the customer.
2. Develop high-level designs based on requirements communicated by the customer, ensuring that feedback from the field is rapidly integrated into product.
3. Validate product prototypes and design concepts by using deep knowledge of the customer in order to represent realistic market needs in the product development process.
4. Innovate new product concepts that will open new avenues for ArmasTec™ by combining a thorough understanding of the market and the customer, and a keen sense of engineering possibilities.
5. Champion the benefits of the exoskeleton solutions to prospective clients, showcasing how ArmasTec™ products can revolutionise their operations or improve lives.
6. Spearhead onboarding and training sessions for clients, ensuring seamless product adoption and maximal user satisfaction.

Augmentus is an AI-robotics platform used by the world's leading robotics and advanced manufacturing companies.

They offer a no-code and fully-integrated programming software that enables anyone, even those with no robotic experience, to program dynamic industrial robots in minutes. Their proprietary technology incorporates algorithms to enable automated robot path generation and an intuitive graphical interface that eliminates the need for coding and CAD files in robot teaching.

Project role: Application Engineer (AI-Robotics Platform)

The Trainee will work on the following:

1. Collaborate with senior application engineers and robotics experts to implement robotic software solutions for various industrial applications.
2. Assist in configuring robotic systems to meet specific client needs, ensuring optimal performance and functionality.
3. Support the integration of robotic hardware, sensors, and software components to create comprehensive industrial automation solutions.
4. Participate in the creation of detailed technical documentation, including user manuals, guides, and system specifications.
5. Assist in troubleshooting technical issues and providing timely solutions to ensure smooth operation of robotic systems.
6. Collaborate with cross-functional teams to gather requirements, provide technical insights, and ensure successful project execution.
7. Learn and develop expertise in the company’s proprietary robotic systems and technologies.
8. Stay informed about the latest developments in industrial robotics and automation to contribute fresh ideas to projects.
9. Adapt and learn quickly to new tools, technologies, and processes as required.

Autove is a tech-driven company specializing in AI, robot, and vehicle-based autonomous delivery. Established in 2019, they introduced Singapore's inaugural Neolix autonomous vehicles, serving clients like Foodpanda, NUS, and M1.

With a seasoned team, Autove expanded into indoor autonomous delivery by late 2021. Focusing on commercial and hotel applications, they developed cloud mobile apps to seamlessly integrate robotics into hotel operations. Their Servie solution automates hospitality tasks, enhancing efficiency, revenue, and profitability for hoteliers.

Autove's successful trials with hotels culminated in securing their first commercial building delivery robot contract in early 2022.

Project role: Autonomous Delivery Robot Solution Empowered by E-commerce Platform (Servie)

Servie: A multimodal online service and e-commerce platform app that enables autonomous robot deliveries indoors. Servie offers a set of services usable by guests to order goods, it is also used by operators to monitor and control robots, goods database, or customer orders and buildings to communicate with their management systems.

The Trainee will be in charge of improving the product- Servie by adding features such as:

• Online payment options
• Database management through dedicated UI
• Interface robot commands and status
• Develop predictive maintenance based of KPIs, 5) Automate deployment process in the cloud
• Interface with 3rd party SW, such as Hotel management systems

The Trainee will have to develop using flutter framework, be familiar with REST APIs and be hands-on in manipulating and configuring the robots. They will also interface with different robot providers to define the next generation of APIs to be opened to allow Servie to further develop for commercialisation.

BeeX is building the SpaceX / Tesla equivalent of the underwater world. They manufacture Hovering Autonomous Underwater Vehicles and pairs them with intelligent software tools. 

These vehicles help protect critical marine infrastructure, including clean energy from Offshore Wind, coastal protection efforts and maritime assets like vessels, ports and aquaculture farms.

Project role: Electronics Design Engineer (Hovering Autonomous Underwater Vehicles)

BeeX's flagship A.IKANBILIS HAUV, has worked in challenging conditions alongside forward-thinking service providers; providing insights on the condition of near-shore assets at unprecedented speed and quality. BeeX is actively engaging with customers to build a better and bigger variant for harsher conditions in Offshore Wind. As a Electronics Design Engineer, the Trainee's daily schedule will include frequent interactions with a multi-disciplinary team, and the Trainee would need to be equally comfortable working at sea trials and a normal desk in the office.

Key Responsibilities:

1. Design and Implement sub-components of the Hovering Autonomous Underwater Vehicle.
2. PCB Design of Electronics boards for interfacing, operation and control of the vehicles.
3. Power electronics design to various system components, sensors and actuator systems.
4. Wire harness and cabling design and production drawing generation (2D and 3D).
5. Firmware development on microcontrollers such as Atmega and ARM for real-time control of hardware components.
6. Bench-testing and field testing of key sensors and components for integration to the vehicles.
7. Carry out intensive bench and in-water testing of the vehicles, and document performance.
8. Stress testing of system components for harsh environment operations such as thermal, vibration, EMI-EMC and humidity.
9. Gather user requirements in collaboration with management team and end customers.

BeeX is building the SpaceX / Tesla equivalent of the underwater world. They manufacture Hovering Autonomous Underwater Vehicles and pairs them with intelligent software tools. 

These vehicles help protect critical marine infrastructure, including clean energy from Offshore Wind, coastal protection efforts and maritime assets like vessels, ports and aquaculture farms.

Project role: Full-Stack Developer

BeeX's flagship A.IKANBILIS HAUV has worked in challenging conditions alongside forward-thinking service providers; providing insights on the condition of near-shore assets at unprecedented speed and quality. BeeX is actively engaging with customers to build a better and bigger variant for harsher conditions in Offshore Wind. As a Full-Stack Developer, the Trainee's daily schedule will include frequent interactions with their Electrical and Software colleagues on cross-disciplinary decisions.

Key Responsibilities:

1. Work across the full stack, building highly scalable software applications that can allow users to interact with the HAUV.
2. Develop new features and infrastructure in support of rapidly emerging business and project requirements.
3. Ensure application performance, uptime, and scale, and maintain high standards for code quality and application design.
4. Work with agile development methodologies, adhering to best practices and pursuing continued learning opportunities.
5. Participate in all aspects of agile software development, including design, implementation, and deployment.

BeeX is building the SpaceX / Tesla equivalent of the underwater world. They manufacture Hovering Autonomous Underwater Vehicles and pairs them with intelligent software tools. 

These vehicles help protect critical marine infrastructure, including clean energy from Offshore Wind, coastal protection efforts and maritime assets like vessels, ports and aquaculture farms.

Project role: Mechanical Engineer (Hovering Autonomous Underwater Vehicles)

BeeX's flagship A.IKANBILIS HAUV, has worked in challenging conditions alongside forward-thinking service providers; providing insights on the condition of near-shore assets at unprecedented speed and quality. BeeX is actively engaging with customers to build a better and bigger variant for harsher conditions in Offshore Wind. As a Mechanical Engineer, the Trainee's daily schedule will include frequent interactions with a multi-disciplinary team, and the Trainee would need to be equally comfortable working at sea trials and a normal desk in the office.

Key Responsibilities:

1. Design and Implement overall Mechanical Systems of Autonomous Platforms: Hovering Autonomous Underwater Vehicle (HAUVs).
2. Design of mechanical components, mechanisms and electronics housings in CAD.
3. Conduct Finite Element Analysis Simulation on design components for structural integrity and stress failure assessment.
4. Drafting of 2D drawings for fabrication and assembly.
5. Assembly and testing of designed mechanical components in the workshop and testing in real world environments.
6. Sail out to sea for testing and evaluation of completed mechanical designs and other robotic systems.
7. Gather user requirements in collaboration with management team and customers.
8. Establish test procedures for mechanical quality control and regulatory compliance.

BeeX is building the SpaceX / Tesla equivalent of the underwater world. They manufacture Hovering Autonomous Underwater Vehicles and pairs them with intelligent software tools. 

These vehicles help protect critical marine infrastructure, including clean energy from Offshore Wind, coastal protection efforts and maritime assets like vessels, ports and aquaculture farms.

Project role: Robotics Software Engineer (Hovering Autonomous Underwater Vehicles)

BeeX's flagship A.IKANBILIS HAUV, has worked in challenging conditions alongside forward-thinking service providers; providing insights on the condition of near-shore assets at unprecedented speed and quality. BeeX is actively engaging with customers to build a better and bigger variant for harsher conditions in Offshore Wind. As a Robotics Software Engineer, the Trainee's daily schedule will include frequent interactions with their Electrical and Software colleagues on cross disciplinary decisions.

Key Responsibilities:

1. Develop perception and fusion algorithms utilising sensors such as camera, stereo camera and Sonar/Multibeam.
2. Perform data association on detected objects for localisation with tracking.
3. Develop deep learning based models for the tracking and detection of targets for advanced maneuvers and intervention.
4. Development autonomous mission planning software that is mission critical and safe for operations.
5. Develop middleware drivers to link hardware to the robotics software stack.
6. Integration of robotics stack with the software architecture.
7. Test and debug of robotics algorithms in software in the loop simulation.

Castomize uses advanced manufacturing techniques combined with artificial intelligence to change how we create and interact with physical objects, positively impacting multiple industries such as healthcare, manufacturing, and the environment.

Their first product is a series of novel 4D-printed orthopedic casts which are more comfortable and convenient for patients, easier and more accurate for doctors and nurses to apply, and more environmentally sustainable. With its advantages, the casts are well-positioned to be the new global standard of orthopedic casting.

Project role: Materials Engineer (4D-printing)

The Trainee will work closely with senior leadership to take ownership of creating meaningful products. From day one, the Trainee will immediately impact our product strategy and direction.

Key Responsibilities:

1. Research and develop smart materials suitable for 4D-printing suitable for different industries such as med-tech, urban environments, etc.
2. Understand fundamental structure-property relationship for polymers and explore different types of chemistry to achieve the desired properties
3. Utilise Design of Experiments to find optimal formulations to meet material product requirements
4. Collaborate with cross-functional teams to define project requirements and specifications for medical devices
5. Develop prototypes and conduct experiments to validate and refine material properties optimising performance and efficiency
6. Integrate and test new materials with evolving designs and other supporting components, troubleshooting and resolving any technical issues that arise
7. Conduct feasibility studies and cost analysis for new advanced material technologies and components
8. Document design processes, experiments, and results thoroughly, maintaining clear and organised records
9. Keep track of raw material usage and forecast future needs
10. Ensure compliance with safety standards and best practices during all stages of materials development

Castomize uses advanced manufacturing techniques combined with artificial intelligence to change how we create and interact with physical objects, positively impacting multiple industries such as healthcare, manufacturing, and the environment.

Their first product is a series of novel 4D-printed orthopedic casts which are more comfortable and convenient for patients, easier and more accurate for doctors and nurses to apply, and more environmentally sustainable. With its advantages, the casts are well-positioned to be the new global standard of orthopedic casting.

Project role: Mechanical Engineer (4D-printing)

The Trainee will work closely with senior leadership to take ownership of creating meaningful products. From day one, the Trainee will have an immediate impact on our product strategy and direction.

Key Responsibilities

1. Design, model, and simulate smart material structures systems that integrate 4D-printing materials and complex geometries for medical device applications
2. Collaborate with cross-functional teams to define project requirements and specifications for medical devices
3. Develop prototypes and conduct experiments to validate and refine designs, optimising performance and efficiency
4. Integrate and test designs, materials, and other supporting components, troubleshooting and resolving any technical issues that arise
5. Conduct feasibility studies and cost analysis for new advanced manufacturing technologies and components
6. Document design processes, experiments, and results thoroughly, maintaining clear and organised records
7. Keep track of raw material usage and forecast future needs
8. Ensure compliance with safety standards and best practices during all stages of product development

Cloudsine is a cloud technology company specialising in cloud adoption, security and innovation. Cloud will be one of the most significant technology shifts organisations will encounter in the next few years. Hence Cloudsine aims to be the trusted partner to help customers build new capabilities and business opportunities for the digital future. Since 2012, cloud, security and innovation have been the DNA of their team.

They have built cloud systems to support numerous large enterprise and government customers across APAC countries, including Singapore, Australia, Philippines, India, Indonesia, Hong Kong, etc. Their cloud experience includes web applications, content delivery, WAF, encryption, logs, analytics, containers, serverless architecture, deep learning, storage and archival, etc. In addition, they have their own Intellectual Property and tools (eg. WebOrion security suite) to complement existing public cloud tools to help customers strengthen their cloud security.

Project role: AI Security Engineer (Project Rhythm)

This is an experimental project where Cloudsine explores various latest AI technologies such as ChatGPT, Large Language Models (LLMs), etc. and explore various attack vectors and ways to secure them. Project Rhythm aims to provide assurance and privacy to organisations concerned about the privacy, confidentiality and integrity of AI services. Trainees will use Jupyter notebooks, Pytorch, Tensorflow and run some of the AI models in AWS cloud or via API calls.

The project could also expand into looking at implementing LLMs on edge devices and test out the feasibility, performance and security of these devices. Trainees are expected to be very hands-on and be responsible for researching the latest AI models, e.g. the LLM, Llama2, ChatGPT, and their potential security vulnerabilities. They will also develop demos and prototypes to showcase security vulnerabilities, e.g. prompt injection attacks, and test and implement POC solutions to address the above security vulnerabilities, which can be built on Bootstrap, Python, Flask, etc., on AWS. Proficiency in Python, Pytorch or Tensorflow will be required.

Cloudsine is a cloud technology company specialising in cloud adoption, security and innovation. Cloud will be one of the most significant technology shifts organisations will encounter in the next few years. Hence Cloudsine aims to be the trusted partner to help customers build new capabilities and business opportunities for the digital future. Since 2012, cloud, security and innovation have been the DNA of their team.

They have built cloud systems to support numerous large enterprise and government customers across APAC countries, including Singapore, Australia, Philippines, India, Indonesia, Hong Kong, etc. Their cloud experience includes web applications, content delivery, WAF, encryption, logs, analytics, containers, serverless architecture, deep learning, storage and archival, etc. In addition, they have their own Intellectual Property and tools (eg. WebOrion security suite) to complement existing public cloud tools to help customers strengthen their cloud security.

Project role: Cloud Security Engineer (Project Star)

Cloudsine's flagship product, WebOrion is a web defacement monitoring service. As the industry becomes more security conscious, customers expect them to have various security-related certifications.

This project aims to help the company achieve and maintain certifications (e.g. CSA Star and ISO27001) as a whole company. As part of the project, Trainees will be involved in planning risk management and incident handling processes, policy development, performing internal security assessments, vulnerability scannings and helping improve the architecture of their production network running on Amazon Web Services (AWS) in terms of security.

At the end of the project, the Trainee will be highly familiar with common AWS services such as EC2, EBS, Security Groups, AWS Security Hub, etc.

Cloudsine is a cloud technology company specialising in cloud adoption, security and innovation. Cloud will be one of the most significant technology shifts organisations will encounter in the next few years.

Hence Cloudsine aims to be the trusted partner to help customers build new capabilities and business opportunities for the digital future.

Since 2012, cloud, security and innovation have been the DNA of their team. They have built cloud systems to support numerous large enterprise and government customers across APAC countries, including Singapore, Australia, Philippines, India, Indonesia, Hong Kong, etc.

Their cloud experience includes web applications, content delivery, WAF, encryption, logs, analytics, containers, serverless architecture, deep learning, storage and archival, etc. In addition, they have their own Intellectual Property and tools (eg. WebOrion security suite) to complement existing public cloud tools to help customers strengthen their cloud security.

Project role: Technical Product Manager (Cloud Security)

This project will involve creating a technical roadmap and prototype to provide next-generation platform for securing data and web application assets in public clouds such as AWS, Azure, Google, etc.

Research is required into key technical features and customer pain points. There will be an emphasis on security posture management and real-time detection and response in the cloud environments.

The use cases can be to detect ransomware in the cloud, provide a data map and lineage, come with security rules/alerts for exfiltration of data, compliance with PCI-DSS, GDPR, ISO27001, etc.

The Trainee's responsibilities:

1. Research into the problems and pain points of data and web applications in the cloud. Eg. many data breaches happened due to misconfiguration in the cloud
2. Deriving a technical product strategy and roadmap
3. Creating the technical prototype
4. Conducting technical proof-of-concepts with various early adopter customers

Fabrica.ai specialises in developing automatic tile grouting robots, which are currently being piloted on construction sites in Singapore under the management of Woh Hup, BHCC, and Gin Chia. Their success extends beyond Singapore, as they have already gained early traction in the United States and Europe.

Project role: Autonomous Tile Grouting Robots for Boosting Construction Productivity

The traineeship offers an exciting opportunity to take robots from initial designs to real-world industry trials. Remuneration for Trainees may combine salary and share options.

Various tracks are available, and Trainees will have the chance to work on a couple of them, tailored to their preferences:

1. Mechanical experiments and design.
2. Mechanical manufacturing, assembly, and testing, encompassing 3D printing, angle grinding, drilling, assembly, and testing.
3. Electrical experiments and design.
4. Electrical assembly, involving soldering Printed Circuit Boards, power cables, and crimping cables.
5. Arduino programming.
6. Robotics DevOps & Real World Industry Trials, which includes operating the ROS2 stack, establishing reproducible testing methodologies, overseeing robots on-site, and exploring innovative parts/materials for enhancements.

Fabrica.ai specialises in developing automatic tile grouting robots, which are currently being piloted on construction sites in Singapore under the management of Woh Hup, BHCC, and Gin Chia. Their success extends beyond Singapore, as they have already gained early traction in the United States and Europe.

Project role: Electrical Engineer (Autonomous Tile Grouting Robot)

From August to December 2023, Fabrica will work on building reproducible and reliable PCBs for their robot. Part of that for electronics design and assembly is to design for easy debugging and replacing parts. This would include creating a simple user interface that could generate error codes.

The Trainee would also be involved in the initial electronics design and assembly for Fabrica's new robots and potentially integrating Fabrica's tech stacks on existing robots.

Core responsibilities:

1) PCB, electronics design

• Working with both hobbyist and industrial microcontrollers, single board computers, motor drivers etc.
• Integrating motor systems of different types (DC, BLDC, with encoder feedback…), sensor modules etc.
• PCB design

2) Embedded programming Possible additional responsibilities:

• Testing the robot on construction sites.
• Managing external PCB production.
• Harness design.

A one-stop portal for custom manufacturing in Southeast Asia.

Amid the 2020 pandemic, Factorem emerged as a trailblazing solution. They have pioneered a proprietary AI platform connecting innovators with trusted suppliers for on-demand custom parts, without any MOQ restrictions.

Their clientele spans diverse sectors, including Industrial Automation, Robotics, Automotive, Biomedical, and Aviation, all demanding precision parts. With a roster of over 100 rigorously vetted partner factories and a remarkable >95% quote accuracy, Factorem is the global go-to for manufacturing services.

Backed by SEEDS Capital and NUS Enterprise, they are now searching for dynamic team members to propel Factorem's growth.

Project role: Algorithm Engineer

The Trainee will join a team of like-minded, fun & creative individuals transforming a traditional space. They can expect to interact directly with experts from other domains (Engineering, Product, Business Development, etc).

The Trainee will also have opportunities to engage with internal and external stakeholders in mobilising change and drive commercial success in a fast-paced startup environment.

Trainee's Mission:

• Algorithm development focused around: Machine Learning (ML), Geometrical Computation, Computer Vision.
• Own and develop intelligent algorithms capable of learning, analysing and predicting the outcomes required by the various Factorem’s R&D pillars.
• Compile and tabulate numeric data to be used in re-training of Factorem’s R&D pillars.
• Convert algorithms into APIs with which the Factorem Platform may interact.
• Perform user testing and validation to ensure relevance and usability of technologies.
• Present learnings and automation ideas to the team.

A one-stop portal for custom manufacturing in Southeast Asia. Amid the 2020 pandemic, Factorem emerged as a trailblazing solution. They have pioneered a proprietary AI platform connecting innovators with trusted suppliers for on-demand custom parts, without any MOQ restrictions.

Their clientele spans diverse sectors, including Industrial Automation, Robotics, Automotive, Biomedical, and Aviation, all demanding precision parts. With a roster of over 100 rigorously vetted partner factories and a remarkable >95% quote accuracy, Factorem is the global go-to for manufacturing services.

Backed by SEEDS Capital and NUS Enterprise, they are now searching for dynamic team members to propel Factorem's growth.

Project role: Application Engineer (Hardware and Innovation)

Factorem is looking for an independent go-getter passionate about delivering impactful solutions to our users and problem-solving in both technical and non-technical aspects. Given the lean team, the Trainee can expect to interact directly with experts from other domains (Engineering, Product, Business Development, etc).

The Trainee will play a key role in streamlining engineering operations and establishing scalable processes to create the next groundbreaking solution for the future of manufacturing parts.

Responsibilities:

• Part verification, drawing generation and providing technical support to Factorem’s customers.
• Understand intricacies of 3D/2D design files and how they translate to fabrication for various technologies ranging from CNC Machining, Sheet Metal Fabrication and 3D Printing.
• Continually work to improve and streamline company operations and processes.
• Manage and execute the end-to-end order fulfilment process, including presentations, negotiation and deal closure with assigned client accounts.
• Perform on-site visit with clients to deeply understand their needs and identify the most optimal solution for customers, to encourage repeat business.
• Perform on-site visits with manufacturing partners to communicate technical specifications, ensuring project quality and on-time delivery.
• Assist in R&D activities to enhance system intelligence via technical validation and data contributions.

A one-stop portal for custom manufacturing in Southeast Asia.

Amid the 2020 pandemic, Factorem emerged as a trailblazing solution. They have pioneered a proprietary AI platform connecting innovators with trusted suppliers for on-demand custom parts, without any MOQ restrictions.

Their clientele spans diverse sectors, including Industrial Automation, Robotics, Automotive, Biomedical, and Aviation, all demanding precision parts. With a roster of over 100 rigorously vetted partner factories and a remarkable >95% quote accuracy, Factorem is the global go-to for manufacturing services.

Backed by SEEDS Capital and NUS Enterprise, they are now searching for dynamic team members to propel Factorem's growth.

Project role: Junior Software Developer

Factorem is seeking an independent go-getter passionate about continuously improving processes and working with various stakeholders to create robust software solutions.

The Trainee will join a team of like-minded, fun & creative individuals transforming a traditional space.

The Trainee can expect to interact directly with experts from other domains (Engineering, Product, Business Development, etc). They will also have opportunities to engage with internal and external stakeholders in mobilising change and drive commercial success in a fast-paced startup environment.

Trainee's Mission:

• Design, develop and deliver new and existing product features for the Factorem web application.
• Write high-quality, clean, maintainable code using engineering best practices.
• Assist in documentation of code and testing.
• Learn and become proficient in design and development tools.

Headquartered in Singapore, they specialise in cybersecurity solutions, focusing on securing digital assets for clients. Their mission is to help clients safeguard their digital resources. Operating not only in Singapore but also regionally, they cater to clients seeking their specialised skill set.

Project role: Cybersecurity Penetration Tester

Participating in vulnerability assessment and penetration testing provides an invaluable learning opportunity for Trainees interested in pursuing a career in cybersecurity.

The aims of vulnerability assessment and penetration testing are to:

• Improve the overall security posture of the organisation.
• Reduce the risk of data breaches and other security incidents.
• Enhance compliance with industry regulations.
• Build trust and confidence with customers and stakeholders.

Vulnerability assessment and penetration testing can help the Trainees to better understand the following:

• The different types of security vulnerabilities that can exist in IT systems and applications.
• How to identify and exploit vulnerabilities.
• How to develop and implement security controls to mitigate vulnerabilities.
• The different stages of a penetration test.
• The tools and techniques used in vulnerability assessment and penetration testing.

Roles and Responsbilities:

• Perform penetration testing & vulnerability assessment based on proven methodologies.
• Web application penetration testing.
• Mobile application penetration testing.
• Network penetration testing.
• Review security hardening review of infrastructure, common operating systems and servers.
• Perform source code review.

Gargantua is a one-stop solution customisation platform for service robots innovated in the industry. They are a newly set up Singapore office of SLAMTEC, a China-based robotics company.

Based on the highly mature Research & Development experience and technology accumulation in the industry, and an ecology of more than 1000 software and hardware partners, Gargantua provides one-to-one exclusive services for end customers, robot integrators, and channel operators, supporting ODM, OEM and other modes of cooperation.

Covering all links including product creativity, design, Research & Development, production and after-sales services, Gargantua provides customers a one-stop service from product creativity to practical application.

Project role: Robotics Service Engineer

Gargantua is building a team in Singapore to cater to the international customers that the company has gained over the years.

The Trainee will pioneer the Singapore Technical Team, focusing on the Product Development and Technical Support role for all the product ranges under SLAMTEC.

Based on Gargantua's in-house system and ROS2, they will work on localisation and navigation. The Trainee will also be required to be proficient in Mandarin, both spoken and written, as this role works very closely with the HQ Technical Team in China.

Key Responsibilities:

1. Participant in R&D related projects for product improvements and enhancements
2. Project management exposure – client's deployment and satisfaction management, product management
3. Responsible for customer online training, including products, installation and implementation, after-sales problem handling, LIDAR, Chassis, Robot use and other related functions of training
4. Robot technology FAQ, assist customers to solve problems in the deployment and operation of the service robot
5. Robot MCU firmware configuration, hardware debugging test
6. Responsible for writing relevant technical documents, including configuration schemes, implementation schemes, fault manuals, etc.

ImmunoScape discovers and develops a diverse, risk-balanced portfolio of novel TCRs against solid tumors.

Using a multi-faceted approach and deep technology know-how, we develop highly effective and differentiated TCR-based therapies for solid tumors.

Project role: Computational Biologist (Research Officer) in Immunology

This project will deal with the analysis of T-cell receptor (TCR) sequences and single-cell data.

Immunoscape's Deep Immunomics platform enables highly sensitive, large-scale mining and immune profiling of T cells in cancer patient samples to identify novel, therapeutically relevant TCRs across multiple solid tumors.

To deeply profile the immune system, they generate heterogenous high-dimensional datasets using a number of advanced technologies, including mass cytometry and next-generation sequencing. These single-cell datasets are the basis for all our data mining and machine learning approaches.

Introducing Outside, a Shift-Based Workforce Management Software.

On the platform, businesses can seamlessly schedule their shift workers, manage daily operations, review team member's competency, and consolidate timesheets while ensuring compliance with local regulations.
 

Shift workers can use the app to update their availability for upcoming schedules, clock in/out for their shift, report sick/late and check their earnings/payslips within the app.

Businesses in Singapore can also utilise Outside's freelance agent pool (15,000+ users) from Outside: Work on Demand App to effectively staff for their daily operations when required.

Project role: Shift-based Workforce Management Software

As a Software Engineer/Full Stack Developer with Inside Technologies, the Trainee will be working on customising a shift-based workforce management software for tourism enterprises to cut down time and resources spent on scheduling, managing operations, and maintaining employee databases while ensuring compliance for payments and contributions.

InsiderSecurity specialises in cybersecurity analytics and uniquely identifies and intercept cyber threats that often go undetected by traditional security measures such as firewalls and antivirus software.

Their flagship service is InsiderSecurity Monitor, which uses sophisticated, automated algorithms to look for cyber-attacks inside the network. The Monitor also helps users save thousands of hours in tedious security monitoring and analysis and provides penetration testing.

InsiderSecurity is also the first company to receive accreditation from IMDA for the User and Entity Behaviour Analytics technology. This is a testament to their innovative approach in safeguarding against cyber threats.

Project role: Cybersecurity Product Development

The Trainee will tackle significant challenges while acquiring valuable expertise and insights. They will also receive mentorship from seasoned cybersecurity professionals who will guide them.

InsiderSecurity has a range of cutting-edge products:

• Automated User and entity behaviour analytics (UEBA) that find insider threats, hijacked accounts, and compromised servers.
• Cloud Security Monitor performs automated user behaviour analytics for your cloud accounts.
• Database activity monitoring that automatically discovers unusual activity in your database, without the need to write detection rules.
• And other upcoming products.

Key Responsbilities:

• Software development of innovative cybersecurity products.
• Work in an Agile team.
• Work on Backend, Frontend, Algorithms, DevOps, etc.
• Develop flowcharts, layouts and documentation to identify requirements and solutions.
• Write well-designed and testable code.

Mobbin’s mission is to empower the world to design great digital experiences. Mobbin prides itself as the Pinterest for UI & UX design. They are building a comprehensive, expert-curated library of interfaces from the best-in-class digital products that help product designers find relevant design inspiration and references with significantly less time and effort. Today, Mobbin is used by most design-forward companies and startups, including Duolingo, Revolut, Headspace, Work & Co, Blinkist, and more.

Project role: Software Engineer, New Platforms

The Trainee will work closely with Mobbin’s Machine Learning Engineers, UX Analysts and Software Engineers to drive key product decisions while balancing engineering and business needs. Responsibilities include but are not limited to:

1. Working on internal web-based ML tools. Think: Next.js app router, Supabase, TLDraw, etc.
   Trainees may have to read source code of these open-source projects to work around their issues.
2. Leveraging on readily available APIs (for example: OpenAI, AWS AI, etc) to speed up our ML lifecycle.
3. Writing algorithms to prioritise high-impact data for labelling.
4. Design and implement high-quality and reliable features that are scalable.

NDR Medical Technology is an innovative company that develops surgical robotics known as Automated Needle Targeting (ANT) to assist surgeons during minimally invasive surgery. Driven by Artificial Intelligence and Medical Image Processing to automate the needle targeting procedure, improving the clinical outcome, reducing radiation exposure and overall operation time. ANT will ensure surgeons of all experiences to be able to perform complex and high-risk surgery with ease.

Project role: AI Empowered Medical Robotics and Software

The Trainee will develop, improve and trial AI empowered software and robotic medical procedure and intervention.

They will work with the team to do the following:

1. Develop and improve AI models and algorithms.
2. Develop and improve Vision Guided Algorithms.
3. Develop and improve Surgical Robotic System.
4. Documentation for medical device registration.
5. Participate and carry out demos and Clinical Trials.

Nika.eco is a climate tech firm on a mission to accelerate nature-positive outcomes by making carbon feasibility studies 4x faster than industry average. They empower clients to bolster their confidence in carbon investments through precise data, swiftly and effortlessly.

Project role: Software AI Engineer

The project will give the Trainee an opportunity to use AI to empower calculation of carbon biomass sequestration, forest change extents, biodiversity impacts and carbon footprint etc.

Nika.eco uses modern software architecture such as NextJS, OpenAI, TailwindCSS, Prisma, PostgreSQL, FastAPI, Docker, AWS, Google Cloud, Azure etc. Responsibilities include but are not limited to:

1. Building frontend or backend features such as caching or React component
2. Using GPT-4 turbo to power our apps
3. Running Spatial SQL, or other heavy backend related functions that GPT-4 turbo will instruct

OTSAW Digital is a global pioneer in advanced Robotics technologies and next-generation Artificial Intelligence for healthcare, security delivery and mobility applications to improve safety, business processes and everyday lives.

Project role: Robotics Software Engineer

The Trainee will be responsible for integrating and testing software solutions in simulation and on the robots. They will lead initiatives related to one of the domains:

1) Perceptions

• Improve usability, reliability and scalability for mapping and localisation system.
• Improve object detection, tracking & classification system.
• Improve Sensor fusion algorithm for reliable, precise localisation, object tracking.

2) Control and Planning

• Embedded System – low level interfacing with sensors, actuators.
• Robot control system, low-level motion planning algorithm.
• Behaviour planning – path planning & mission control.
• Fleet Management coordination and planning.
• Simulation - for testing of robot behaviour & path planner.

"Phaos" is the Greek word for "Light". Phaos Technology is an advanced optics technology startup based in Singapore. Phaos Technology believes that optical-related technology is the key to improving the future. Hence the company focuses on research and development of advanced optical-related technologies and making them accessible to the mass market. 

The company uses advanced technology to make nanoscopic at a fraction of the cost of expensive microscopes. 

Phaos Technology’s microsphere-assisted technology, used in our OptoNano product range, uses a microsphere to upgrade the magnification of microscopes by up to 4X using miniature glass spheres, in a cost-efficient way. Using this patented technology, microscopes can be easily turned into nanoscopes by including these microspheres into the existing microscopes. This significantly increases the magnification of the objects that the microscopes are looking at, at an affordable price. 

Over the years, the company has evolved into a microscopy company that carries microscopy for super-resolution to microscopy for metrology purposes. Phaos Technology is also working on automating the system, including IoT, AI, and remote access through AR/VR.

Project role: Backend Software Engineer

Phaos Technology is looking for a C#/ C++ developer responsible for building C#/ C++ applications, including anything from back-end services to their client-end counterparts. 

The Trainees' primary responsibilities will be to design and develop these applications, and to coordinate with the rest of the team working on different infrastructure layers. 

The Trainee will be a quick learner, able to think and work independently or with contractors and team members. They will also be sensitive about dealing with documents and confidential information. 

The Trainee will work directly with the product head, assisting in managing the software design and development of all the products developed by the company or its contract manufacturer.

"Phaos" is the Greek word for “Light". Phaos Technology is an advanced optics technology startup based in Singapore. Phaos Technology believes that optical-related technology is the key to improving the future. Hence the company focuses on research and development of advanced optical-related technologies and making them accessible to the mass market. 

The company uses advanced technology to make nanoscopic at a fraction of the cost of expensive microscopes. 

Phaos Technology’s microsphere-assisted technology, used in our OptoNano product range, uses a microsphere to upgrade the magnification of microscopes by up to 4X using miniature glass spheres, in a cost-efficient way. Using this patented technology, microscopes can be easily turned into nanoscopes by including these microspheres into the existing microscopes. This significantly increases the magnification of the objects that the microscopes are looking at, at an affordable price. 

Over the years, the company has evolved into a microscopy company that carries microscopy for super-resolution to microscopy for metrology purposes. Phaos Technology is also working on automating the system, including IoT, AI, and remote access through AR/VR.

Project role: Front-End Development Engineer

Phaos Technology is looking for a front-end developer responsible for designing and developing User Interface in Windows Forms and WPF framework (C#), or MFC(C++), or HTML, CSS, JavaScript (Web Development). 

The Trainee will design and develop the required User Interface, and coordinate with the back-end software engineer to provide the solution for the connection of back-end and front-end. They will also maintain and continuously optimise User Interface, improve user experience and work efficiently. 

The Trainee will be a quick learner, able to think and work independently or with contractors and team members. They will also be sensitive about dealing with documents and confidential information. 

The Trainee will work directly with the product head, assisting in managing the software design and development of all the product developed by the company or the company's contract manufacturer.

SepPure is a Climate-tech company developing novel membrane materials and membrane processes for more sustainable chemical separations without the use of heat. SepPure is disrupting the energy-intensive chemical separation processes, such as distillation and evaporation, through the introduction of novel chemical-resistant nanofiltration membranes. With up to 15% of the world’s total energy spent on industrial-scale chemical separations, SepPure aims to reduce CO2 emissions by 500 million tonnes by 2030.

Project role: Manufacturing Engineer

SepPure is seeking a Manufacturing Engineer passionate about innovating in Hollow Fibre Membrane Production for Chemical Separations. This role suits the talent skilled in manufacturing, problem-solving, quality assurance, and process building. It involves tackling technical challenges, exploring membrane intricacies, and ensuring smooth day-to-day operations.

The Trainee would work on the following:

• Hollow Fibre Membrane Manufacturing
• Maintenance and Upkeep of Fibre Production Equipment and Auxiliary Systems
• Technical Problem Solving & Development
• Reporting

SpeQtral is commercialising quantum communications to prepare the world for the quantum future. Think quantum space lasers, entanglement, and military level secure communications.

As part of their mission to transform the world’s networks, they plan to launch a constellation of satellites to enable worldwide entanglement distribution (QKD). The earliest application of this is highly secure delivery of encryption keys to facilitate secret communications, using their upcoming pathfinder satellite and an optical ground station (OGS) currently under development in Singapore.

Project role: Mission Control Software Engineering for Quantum Satellite Programme

This project is about supporting the R&D of their optical ground station (OGS) for space-based QKD at SpeQtral, paving the way for new technologies to enable global quantum communications. This covers various software development tasks for operating the OGS hardware, plan and schedule OGS operations by developing automated software tools, and to configure and optimise a web-based GUI for controlling the OGS.

The Trainee will be part of the Mission's team and work closely with the OGS developers. The scope of work includes:

• Familiarisation with the basics of experimental OGSs for QKD and the necessary systems and quantum technologies.
• Familiarisation with the basics of software tools and architectures used (python, front-end/back-end design, RESTful web APIs, RabbitMQ, Grafana, GIT).
• Configuration of a website based front-end for controlling and monitoring the OGS.
• Tuning of the web GUI for optimal visibility of information and usability.
• Programming of RESTful API features within OGS control back-end (hardware-close).
• Operations scripts for automated pass planning/scheduling (e.g. Pass planning based on latest satellite telemetry).
• Implementation and test of software and hardware interfaces in python (Weather forecast, ADS-B Airplane position receiver, Opto-mechanical hardware).
• Analyse performance parameters and optimise individual tasks.
• Prepare documentation and guides to support the usage and operations of data systems and APIs supported and/or developed at SpeQtral.

Waffle Technologies is working to push the boundaries of how data and technology are being used in offline commerce. The team supports local offline businesses with their daily business operations so that they can focus on delivering the best customer experience.

Their Engineering Team works on problems such as building an offline-first network of applications and supporting a wide range of hardware device integrations.

Project role: Full-Stack Engineer (Mobile application, Point-of-sale)

The Trainee will implement and maintain a smooth offline payment flow with payment providers like Stripe. They will also implement and maintain communication protocols between multiple devices on the LAN and maintain a robust offline mode flow for the point-of-sale application.

The Trainee will also write and conduct robust automated tests to minimise customer downtime. Responsibilities will also include maintaining and refactoring the existing application to maintain a high developer velocity for new features. If required, the Trainee will also be involved in implementing new back-end endpoints.

Weston Robot is a Singapore-based Deep Tech robotics company helping the industry accelerate robot adoption. Weston Robot provides a wide range of robot products and services, such as indoor and outdoor wheeled, tracked, quadruped, on-water boats, exoskeletons, and robotics software.

Project role: Robotics Business Deployment Manager

The Robotics Business Deployment Manager role seeks highly motivated individuals looking to develop their technical skills in Robotics and Exoskeletons and drive growth in this industry.

Workforce Optimizer specialises in developing, implementing, and supporting AI-based workforce optimisation solutions - across diverse industries such as healthcare, retail, and government.

Their flagship product is a cloud and mobile-based workforce management solution. Powered by advanced machine learning, it empowers enterprises to anticipate their staffing requirements accurately.

Workforce Optimizer's ingenious use of advanced mathematical optimisation techniques allows for optimal scheduling of employees across shifts, boosting productivity and maximising efficiency.

Project role: Technical Analyst

The Trainee will act as the second level of technical support, handling more complex issues that require specialised technical knowledge - database analysis, integration, deployment, and environment-related issues. They will work closely with IT professionals to resolve these issues.

Proficiency in MySQL and Javascript is a must, as the role requires a meticulous and proactive individual who can perform routine maintenance checks, preemptively identify potential problems, and produce detailed documentations.