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

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.

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.

DiMuto is an emerging Agri Fintech company based in Singapore, dedicated to simplifying every aspect of global AgriFood trade.Dimuto's AgriFood Trade Solutions streamline the journey from produce to trade to market, empowering growers, exporters, and importers to trade efficiently with enhanced visibility and finance.

Project role: Computer Vision Engineer (AI & IoT)

The goal is to refine its design, optimise the manufacturing process, and collaborate with Dimuto's technical team to deploy AI for real-time image analysis at customer sites.
The Trainee will be responsible for:

• Device Design and Manufacturing: Collaborate on refining the design of DACKY for improved functionality and user experience. Optimise the deployment process to enhance efficiency and scalability.
• AI Integration and Computer Vision: Work closely with the technical team to deploy AI algorithms for real-time image analysis on DACKY devices. Implement computer vision technologies to enhance data extraction and processing capabilities.
• Multi-Purpose Adaptation: Assess customer requirements and operational demands to make DACKY more versatile and adaptable. Integrate just-in-time printing capabilities and other features to meet evolving needs.
• Quality AI Integration and Scalability: Collaborate on integrating product Quality AI into DACKY devices. Develop strategies to make the Quality AI scalable for broader industry applications.

The Trainee will be required to:

• Work with cross-functional teams to conceptualise, detail design and deploy Digitisation Solutions (Software & Hardware) for customers.
• Integrate vision devices (cameras, 2D scanners) and industrial weighing solutions to windows-based devices.
• Conduct prototyping and software integrations of RFID readers to ensure compatibility with our digital platform.
• Come up with BOMs, user manuals, test plans, deployment plans.
• Oversee the inventory management of parts at the headquarters and ensure seamless tracking of inventory at remote offices.

Epiphyte Corp is a venture builder that specializes in advanced cybersecurity solutions for automotive, space, maritime, and critical infrastructure sectors.

Epiphyte is looking for a highly motivated Junior Unity Developer to join our team in Singapore. The ideal candidate will be passionate about Augmented Reality (AR) and game development using Unity, with a solid understanding of C# programming. This role will involve collaborating with cross-functional teams to develop cutting-edge AR applications for mobile platforms. Candidates should be enthusiastic about learning and improving, with a keen eye for performance optimization and innovation in AR technology.

Responsibilities:

1. Develop AR applications using Unity3D and C# for mobile platforms (iOS/Android).

2. Collaborate with designers and other developers to create engaging AR experiences.

3. Optimize AR applications for performance and scalability.

4. Troubleshoot and resolve issues related to application functionality and performance.

5. Work closely with the UX/UI team to ensure seamless user experiences in AR.

6. Stay up to date with AR/VR trends and emerging technologies to bring fresh ideas to the project.

7. Write clean, maintainable, and well-documented code.

Requirements:

1. 1 - 3 years of experience in Unity3D development and C# programming.

2. Strong understanding of AR frameworks such as ARCore and ARKit.

3. Experience developing and deploying mobile applications for iOS and Android.

4. Familiarity with 3D graphics programming, shaders, and animations.

5. Knowledge of object-oriented programming and design patterns.

6. Basic understanding of multiplayer networking and backend integration.

7. Experience with version control systems (e.g., Git).

8. Excellent problem-solving skills and a passion for AR technology.

9. Ability to work both independently and collaboratively in a fast-paced environment.

Preferred Skills:

1. Experience with cloud services and APIs.

2. Experience working with Unreal Engine or other game engines is a plus.

3. Familiarity with mobile app UI/UX design principles.

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: 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.

Galamad Aerospace leverages technological advancements to produce capable and cost-efficient satellites.

Project Role: Electronics Engineer (Spacecraft Attitude Determination and Control System)

Develop electronic systems for spacecraft, including satellites. This role unites hardware and software thus enabling you to interface with the physical environment and build models that map environmental inputs to physical actions in the environment. Our company will support your learning journey to achieve the tasks outlined below.

Trainee's responsibilities for this role include:

Hardware:

1. Building electronic circuits to control motors, magnetorquers and solenoid valves.
2. Embedding microcontrollers into the electronics circuit and programming the microcontroller to be able to communicate with the central satellite computer; this includes implementing interfaces such as UART, CAN, I2C, and SPI.
3. Building circuits for voltage conversion and current sensing.
4. Building circuitry to interface with sensors such as fine sun sensors, coarse sun sensors, magnetometers, GNSS receivers and gyroscopes.
5. Rigorous testing and verification of circuits.
6. Choosing the appropriate PCB fabrication class.

Software:

1. Programming micontrollers such as STM32-based or full Linux-based systems.
2. Developing and implementing sensor algorithms for data cleaning and processing.
3. Develop ML models, especially reinforcement learning models, for controlling the spacecraft.
4. Developing the ADCS application which controls the different attitude (pointing) modes of the spacecraft.

Galamad Aerospace leverages technological advancements to produce capable and cost-efficient satellites.

Project Role: Reinforcement Learning Engineer (Autonomous Satellite Navigation)

As a Reinforcement Learning Engineer at our satellite company, you will spearhead the development of advanced algorithms and models to enable satellites to navigate autonomously and intelligently in space. You will leverage state-of-the-art reinforcement learning techniques to train satellites to perform complex tasks, such as pointing to ground stations, adjusting their orbits, and optimising their trajectories, all while maximising mission objectives and efficiency.

Trainee's responsibilities include but are not limited to:

• Using existing ML frameworks to implement reinforcement learning algorithms and architectures tailored to the unique challenges of autonomous satellite navigation.
• Develop physics-rich simulation environments (with Earth, moon, satellites, etc) using tools such as Unity to model satellite dynamics, orbital mechanics, and environmental factors.
• Utilise Python, C++, and other relevant programming languages to implement and optimise reinforcement learning models for real-time satellite control.
• Collaborate closely with satellite engineers to integrate learning-based navigation systems into satellite hardware and onboard software.
• Conduct extensive experimentation and evaluation to validate the performance, robustness, and safety of autonomous navigation algorithms in simulated and real-world environments.
• Stay abreast of the latest advancements in reinforcement learning, machine learning, and space technology to drive innovation and push the boundaries of autonomous satellite navigation.

Galamad Aerospace leverages technological advancements to produce capable and cost-efficient satellites.

Project Role: Spacecraft Embedded Software Engineer

As an Embedded Software Engineer at our satellite company, you will be at the forefront of the space industry, playing a crucial role in designing, developing, and maintaining the embedded software that drives our satellite systems. You will work closely with a multidisciplinary team of engineers to implement advanced algorithms, interface with core peripherals, and ensure the reliability and performance of our satellite platforms.

Trainee's responsibilities include but are not limited to:

• Developing embedded software for satellite systems using STM32 MCUs and other ARM-based microprocessors.
• Implement and optimise algorithms critical for satellite operations, including but not limited to the solar position algorithm, geomagnetic field model, Ionosphere Reference model, Unscented Kalman Filter, and more.
• Interface with core peripherals such as UART, DMA, Timers, USB, and CAN to facilitate communication, data transfer, and control within the satellite system.
• Collaborate with hardware engineers to ensure seamless integration of software and hardware components.
• Conduct thorough testing and debugging to ensure the reliability, robustness, and performance of embedded software in the satellite environment.
• Stay up-to-date with the latest advancements in embedded systems, satellite technologies, and space exploration to contribute innovative solutions to our projects.

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.

IntentAI develops and trains human-like AI chatbots to understand and interact with people in the language of their choice using their patented INTNT engine.

They specialise in building and training hybrid generative AI bots, combining two or more AI algorithms to create a more sophisticated and versatile system for their customers. This allows IntentAI Enterprise GPT Bots to handle a broader range of queries, produce more natural responses, and perform transactions.

Project role: AI Software Developer (Project Gaia)

The Trainee's scope of work includes designing systems and pipelines for ML/AI applications, developing IaC (Infrastructure as Code) on Azure, AWS and GCP.

Trainee's responsibilities include but are not limited to:

1. Development, Maintenance, and Updates of AI Pipelines - Creating and managing systems that automate the processing, analysis, and application of data using artificial intelligence.
2. Application Programming Interfaces - Developing and maintaining APIs involves building frameworks that enable communication and interaction between different software applications.
3. Deployment to Cloud Infrastructure - Setting up and managing the deployment of AI systems on remote servers.
4. Cloud Infrastructure Monitoring and Performance Tuning - Ongoing monitoring and optimisation of cloud infrastructure, ensuring cloud systems perform efficiently and reliably.
5. Frontend Development - Creating accessible and user-friendly interfaces, allowing users to effectively engage and utilise AI applications.
6. Cross-Team Collaboration - Collaborating with internal and external parties to integrate diverse perspectives and expertise into AI projects.
7. Version Control and Documentation - Maintaining version control of both code and data to ensure reproducibility. Documenting the development process, the architecture, and the deployment strategies is also a key part of the role.

Mesh Bio is a provider of digital health services intended to transform chronic disease management through predictive analytics. The company's services automate health screening report generation, increase accuracy, helps to understand the implications of laboratory reports, and offer holistic patient assessment, enabling patients to manage their health, lifestyle and disease risks.

Project Role: Data Analytics Engineer

The Data Analytics Engineer is a product development position that collaborates closely across company functions to achieve Mesh Bio’s business objectives.

The Trainee will work closely with other developers and commercial staff to translate business objectives, product development strategies, customer requirements into the Mesh Bio’s products and services.

Scope:

• Work with databases containing healthcare data
• Structure, normalise, extract, transform, analyse, aggregate and visualise the data
• Implement data analysis and visualisation methods optimal for specific research and product development targets
• Profile and optimise database performance
• Implement and run machine learning algorithms
• Obtain, prepare and deploy datasets for machine learning
• As part of the Research and Development team, carry out statistical analysis, build and manage databases and their interfaces to carry out research activity in the field of human health
• Collaborate with the Product Development team to build scalable database architectures and interfaces to satisfy Product Requirements Specifications
• Prototype data analysis pipelines
• Prototype data storage and analysis architectures
• Develop production code while maintaining highest standards and practices of software development
• Implement and maintain systems and software architecture for data ingestion, storage, processing, and visualisation under ISO data security, medical device and HIPAA design controls
• Ensure that development is performed with clean, well-commented, and well-tested code that follows data governance policies
• Implement security methods for user and device authentication and authorisation, as well as robust encryption and other security mechanisms
• Provide development and production status updates to project leaders

Nanolumi is an advanced materials company that delivers breakthrough luminescent solutions for Product Authentication (Reyal™) and Bio-imaging. The company does this by harnessing cutting-edge nano / molecular chemistries and optical system to create, detect, and manipulate light.

The team’s expertise lies in identifying & optimising technical synergies, building comprehensive solutions through integrations & partnerships, and fostering supply chain collaborations to accelerate new technology adoption.

Nanolumi firmly believes that materials matter and play a pivotal role in empowering products that enable society to experience life to the fullest.

Project Role: Image Recognition and Machine Learning Application Development Engineer

The Image Recognition and Machine Learning Application Development Engineer typically involves a range of tasks related to developing, implementing, and optimising algorithms and systems for analysing and interpreting visual image data using machine learning techniques for anti-counterfeit authorisation in the smartphone platform. Day-to-day operation support and continuous improvement in the image recognition algorithm are also part of the job portfolio.

Trainee's responsibilities include but are not limited to:

• Algorithm and model development for image recognition and analysis.
• Large datasets of images collection and pre-processing for training machine learning models.
• Model training and evaluation and deep learning frameworks establishment. 
• Model optimisation and deployment to production environments such as cloud platforms, edge devices, or embedded systems.
• Feature engineering from images to improve model performance and interpretability.
• Understanding the specific anti-counterfeit application area where image recognition is being applied and tailoring algorithms and models accordingly.
• Model evaluation and validation by using appropriate metrics and validation techniques to ensure the accuracy, robustness, and reliability of the image recognition system.
• Model deployment and integration into production environments. Ensure seamless integration with existing infrastructure and maintain compatibility with different platforms and frameworks.
• Monitor the performance of deployed models and systems, and identifying and addressing challenges and limitations in existing algorithms or systems. Troubleshooting any issues or anomalies that arise, and debugging issues related to data quality, model performance, or system integration. Perform regular maintenance and updates to keep the system up-to-date and functioning optimally.

Nanolumi is an advanced materials company that delivers breakthrough luminescent solutions for Product Authentication (Reyal™) and Bio-imaging. The company does this by harnessing cutting-edge nano / molecular chemistries and optical system to create, detect, and manipulate light.

The team’s expertise lies in identifying & optimising technical synergies, building comprehensive solutions through integrations & partnerships, and fostering supply chain collaborations to accelerate new technology adoption.

Nanolumi firmly believes that materials matter and play a pivotal role in empowering products that enable society to experience life to the fullest.

Project Role: Smartphone Application and Cloud Development Engineer

The Smartphone Application and Cloud Development Engineer typically combines below key expertise to ensure the operation and continuous enhancement of smartphone applications, cloud database, and company website.

Trainee's responsibilities include but are not limited to:

• Smartphone Application Development: Design, develop, and maintain smartphone applications for iOS and Android platforms. Implement user interfaces, backend services, and application logic. Ensure device and OS compatibility.
• Data Analysis and Reporting: Analyse user data in the cloud database to derive insights for decision-making. Apply statistical analysis, data mining, and machine learning techniques to identify patterns, trends, and data correlations for reporting and action taking.
• Algorithm Development: Develop algorithms to optimise the company’s special applications. Design recommendation systems, predictive models, or other intelligent features based on user behaviour and preferences during deploring the company’s solutions.
• Cloud Database Management: Manage cloud-based databases daily operation. Configure and maintain databases on cloud platforms such as AWS, Azure, or Google Cloud to ensure scalability, reliability, and data integrity and security.
• Website Operation and Improvement: Maintain and update the company’s websites operation. Ensure website functionality, performance, and security. Implement new features, optimise code, and improve website performance based on user experience feedback and analytics.
• Quality Assurance and Testing: Conduct comprehensive testing of smartphone applications, cloud database, and company website to validate the functionality and reliability of the software.

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.

"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.

Prefer is a Singapore-based startup making coffee without coffee beans. They upcycle and ferment food manufacturing by-products, such as barley, bread, and soy, to create coffee flavours. They are building their pilot production facility and looking for fermentation/bioprocess engineers, brewers, or application scientists to test their pilot processes and make coffee.

Project role: Pilot-Scale Bioprocessing for Valorisation and Biosynthesis of Flavours

Prefer's current manufacturing process is labour-intensive and has a ceiling of 50 kg/week.

They want to understand how the team can tap on automation and IoT to improve efficiency and safety in their processes; explore creative ways of problem-solving and design equipment or processes to optimise their manufacturing steps; and demonstrate scalability of their solutions.

Following a successful project implementation, Prefer may partner with FMCG/CPG MNCs to collaborate with them and build larger future plants together.

Skills: Proficiency and experience in Bioprocessing, Fermentation or Food Manufacturing and Brewing is preferred.

Rebee Health facilitates remote rehabilitation monitoring, enabling patients to track their progress from home while allowing healthcare practitioners to deliver personalised care efficiently.

Project role: Software Engineer / Data Analyst

Rebee Intelligence; a sophisticated platform designed to guide patients through their rehabilitation programs autonomously. By analysing individual progress, adherence levels, and self-reported data, Rebee Intelligence adjusts exercise regimens accordingly.

Objective: This role will develop and maintain software solutions that analyse and interpret complex data sets. It will involve designing and implementing data models, creating algorithms, and building data processing systems.

Tasks:

1. Design and implement data models and algorithms to process large data sets, incorporating machine learning and AI techniques.
2. Create and manage ETL (Extract, Transform, Load) processes to ensure data is collected and integrated efficiently.
3. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver actionable insights.
4. Perform data cleaning, transformation, and validation to ensure data quality.
5. Create visualisations and reports to communicate findings and support decision-making processes.
6. Continuously monitor and improve data processing systems for performance and scalability.

Skills:

1. Proficiency in programming languages such as Python, Java etc.
2. Strong knowledge of SQL and experience with database management systems (e.g., MySQL, PostgreSQL).
3. Have experience developing the React framework with web development skills.
4. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS) is desirable.

Resaro AI is at the forefront of ensuring the responsible, safe and robust deployment of artificial intelligence. They believe that the promise of AI can be fulfilled and risks can be avoided when enterprises are enabled to shift from blind trust to informed trust.

Resaro accelerates our customers’ selection and adoption of AI technologies through algorithmic audits, technical stress testing, and assurance of a high standard that keeps them abreast of emerging regulatory requirements.

Project role: Associate Data Scientist

They are looking for an Associate Data Scientist interested in learning how to evaluate and test mission critical AI systems in production settings.

The Trainee will help evaluate and stress-test AI models to make sure they are fit for purpose and safe to be deployed for clients. This traineeship is ideal for someone with a data science foundation and is eager to contribute to real-world AI testing challenges.

Trainee's roles and responsibilities include but are not limited to:

1. Assisting in developing, testing, and evaluating machine learning models for real world customers.
2. Performing data preprocessing, analysis, and feature engineering to prepare datasets for model training and testing.
3. Working closely with senior data scientists and AI engineers to design testing frameworks for AI systems.
4. Validating AI models' performance and ensure compliance with client requirements, especially in mission-critical environments.
5. Collaborating with cross-functional teams, including Responsible AI Scientists and software engineers, to support end-to-end model validation processes.
6. Contributing to the documentation of testing methodologies, results, and findings.
7. Staying updated with the latest trends in AI, machine learning, and model testing techniques.
8. Supporting Resaro's product development processes by helping to track the latest research in AI testing and synthetic data generation techniques, including building out our proprietary datasets.

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.

Zaheen specialises in pioneering AI solutions to navigate the challenges of data scarcity. Utilising advanced multimodal AI technologies, Zaheen empowers enterprises to unlock powerful insights from limited data sets, driving significant business transformations. The team delivers cutting-edge projects, engaging with transformative AI technologies that have a real-world impact.

Project Role: AI Engineer (Agent Z)

Implementing AI is costly and time-consuming due to the extensive data collection and preparation required. Agent Z is a platform to simplify this by involving enterprise users to curate data and fine-tune AI models. Acting like a copilot, it guides non-technical users to develop AI agents for their specific needs. Users can upload data, describe it in plain English, and run tests, making the process as easy as hiring a consultant.

The Trainee will design and implement AI/ML systems developing AI pipelines, creating APIs, deploying to cloud platforms, and optimising cloud performance.

Responsibilities include but are not limited to:

1. Designing, managing, and updating automated AI data processing systems.
2. Creating user-friendly interfaces for AI applications.
3. Building and maintain APIs for seamless software interaction.
4. Deploying AI systems on Azure, AWS, and GCP.
5. Ensuring scalability and flexibility across platforms.
6. Monitoring and optimising cloud infrastructure for efficiency and reliability.
7. Maintaining code and data version control.
8. Documentation of development processes and deployment strategies.
9. Ensuring adherence to security standards and ethical guidelines.