A computational drug discovery platform powered by quantum mechanics. Delivering better predictions, unprecedented receptor-ligand insights, and the opportunity to crack challenging targets.

Project Role: Physics-based, AI-enhanced computational drug design

QDX Technologies is on a mission to transform the field of computational drug design. Our innovative approach combines molecular modelling, quantum chemistry, cheminformatics, machine learning (ML) and generative artificial intelligence (AI) to develop cutting-edge solutions that accelerate and optimise drug discovery.

The trainee will play a pivotal role in developing and implementing our computational chemistry pipeline, with a focus on tackling real-world drug design challenges faced by pharmaceutical companies.

Key Responsibilities:

1. Developing, implementing and benchmarking computational chemistry workflows: Leveraging advanced molecular modelling, quantum chemistry and cheminformatics to develop workflows that are generally applicable to a range of drug discovery problems. Candidates with backgrounds in physics, chemistry and/or biology can leverage their previous experience.
2. Innovating with AI: Designing and implementing ML-driven methods, including generative AI techniques, that are seeing more widespread use in computational chemistry.
3. Client-focused problem solving: Collaborating with external clients to understand their drug design challenges, then translate these into computationally actionable problems. Candidates will have a first-hand experience in solving real-world drug discovery problems.

CRecTech is a Deep Tech spin-off from NUS. CRecTech has developed a novel catalytic technology that simplifies the operational process and production cost of converting biogas into bio-methanol, making renewable methanol fuel more affordable for the maritime sector to accelerate their transition toward net zero CO2 emissions. 

Project Role: Scale up of Catalytic Bio-methanol Technology (Process Engineer)

Key Responsibilities

1. R&D Efforts at Manufacturing Pilot Facilities: 

- Converting biogas or similar gas compositions into methanol.
- Scaling up catalyst material production by analysing energy and material balances and evaluating the process performance. 
- Implementing design modifications and improvements.
- Documenting activities and data in detailed reports.
- Assisting with engineering process design, simulation, and optimisation of chemical process modeling.
- Developing enhanced processes for material handling, treatment, and storage.
- Conducting characterisation and analysis of catalysts and the methanol produced.

2. Compliance with Regulatory and Statutory Requirements:

- Ensuring all operations comply with workplace health and safety regulations.
- Collaborating with safety officers and operations teams to prepare and maintain up-to-date risk assessments, safe work procedures, and method statements.

3. Operations Management:

- Organising and overseeing the operations of the manufacturing pilot facility, ensuring maximum efficiency while minimising costs.

4. Routine Checks and Process Controls:

- Conducting regular checks and process controls, maintaining accurate records of all activities.

The project scope may include other related tasks as assigned by the partner company.

digiDations is a technology innovator emerging from NTU's research network, revolutionising how organisations validate their cybersecurity. In a world where traditional security assessments fall short against increasingly sophisticated cyber threats, they combine artificial intelligence with real-world threat intelligence to deliver breakthrough security validation solutions. 

Their platform does not just find vulnerabilities - it thinks like an attacker, adapts like an attacker, and helps organisations stay ahead of real-world threats. Their vision is a future where organisations can proactively and continuously validate their security defenses, eliminating the gap between security assumptions and reality through data-driven insights. 

Project Role: Research and Threat Analysis in Cybersecurity

Participating in cybersecurity research and threat analysis provides an invaluable learning opportunity for trainees interested in advancing their careers in cybersecurity.

Aims of security research and threat analysis:

1. Identifying and analysing real-world attack techniques and vulnerabilities.
2. Enhancing organisations' security posture through proactive threat research.
3. Strengthening security controls and detection capabilities against evolving threats.
4. Providing insights into emerging cyber threats, ensuring resilience against adversary tactics.

Key Insights from threat research and analysis:

1. Understanding how to track and investigate attack techniques, MITRE ATT&CK mappings, and adversary behaviors by threat groups.
2. Assessing the impact of threat intelligence, vulnerabilities, and attack samples (POCs) on customer security environments.
3. Identifying security gaps in detection and response capabilities and providing actionable recommendations.
4. Gaining familiarity with the tools and methodologies used in threat intelligence gathering and security validation.

Responsibilities
The trainee's responsibilities include but are not limited to the following:

1. Researching and analysing threat intelligence sources to understand attack incidents, techniques, vulnerabilities, and exploits.
2. Tracking and investigating new attack techniques and adversary behaviors to provide security insights.
3. Supporting customers in assessing security gaps and improving detection rules within their security environments.
4. Conducting security content validation and improvement discussions with security product vendors when needed.
5. Collaborating with security engineers and product teams to enhance security validation methodologies.
6. Developing technical reports, research papers, and security updates to contribute to cybersecurity knowledge.

Biologic Technik is a Singapore Deep Tech startup focused on medical devices and IoT technologies. It pioneered an embedded biomechanics algorithm for walking gait and strength measurement, used in hospitals and nursing homes, achieving over 90% detection accuracy for weak gait.

Project role: IoT Engineer Inventory Management Optimisation

The company is seeking talents who are motivated and analytical to join the team. They are working on an enterprise-level IoT system with a Machine Learning model for one of the largest operator groups in the Singapore healthcare industry. This role provides practical experience in IoT systems, data analysis, machine learning, and algorithms within a nascent healthcare application. The system provides automated 24/7 inventory tracking using IoT and inventory forecasting using Machine Learning methods.

Preferred Skills:

1. Experience in Python and IoT
2. Familiarity with algorithms is a bonus

Fortiedge is an established company specialising in Cybersecurity practices and solutions. They provide a wide array of independent security assurance services, including Application Design, Architecture Review, Source Code Review, System Hardening, Cybersecurity Posture Assessment, Network & Firewall Review, ISO27001 Consultation, PKI Consultation, and Penetration Testing.

Project role: Cybersecurity Penetration Tester

Engaging in vulnerability assessment and penetration testing offers an invaluable learning opportunity for trainees interested in pursuing a career in Cybersecurity.

The goals of vulnerability assessment and penetration testing are to:

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

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

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

Roles and Responsibilities:

1. Perform penetration testing and vulnerability assessment based on proven methodologies.
2. Web application penetration testing.
3. Mobile application penetration testing.
4. Network penetration testing.
5. Review security hardening of infrastructure, common operating systems, and servers.
6. Perform source code review.

Bluefield Renewable Energy Pte Ltd (BRE) is a Decarbonisation Platform transforming waste into valuable resources and capturing carbon for a sustainable future. BRE generates internationally recognised and sought-after Carbon Removal Credits and produces Biochar, which has applications in both construction materials and agriculture.

BRE is a fast-growing company that has received substantial funding to scale up decarbonisation efforts. The company utilises its proprietary and patented cutting-edge thermo-chemical conversion technology to transform waste into valuable resources, rather than channeling them to incineration or landfill conventionally.

Project role: System Deployment & Mechanical Design for Bluefield Renewable Energy (BRE) New Plant

Key Responsibilities:

1. Support plant deployment, design, and oversee system production and installation.
2. Coordinate with contractors and vendors, troubleshooting mechanical issues during setup.
3. Define project scope, create schedules and budgets, manage risks, and design mechanical systems as needed.
4. Maintain accurate records, prepare progress reports, and ensure proper documentation.
5. Perform financial modeling based on system metrics.
6. Provide technical guidance, ensure compliance with safety/quality standards, review design documents, and optimise system performance with mechanical calculations and simulations.
7. Create 3D models and design drawings for the Flex-Pyrolysis System.
8. Analyse and optimise existing systems or develop new solutions to improve performance, cost, and design.
9. Generate and update engineering drawings, including BOM and layout.
10. Source equipment (pumps, motors, valves, sensors) based on P&ID to ensure system functionality.
11. Inspect and document received purchases to ensure compliance with specifications, resolving quality issues promptly.
12. Manage CAD drawings and design documentation with accurate and secure records.
13. Support physical installation, assembly, and troubleshooting of the system.

Preferred Skills:
1. Understanding of mechanical system design, installation, and maintenance.
2. Experience with mechanical design software (e.g., AutoCAD, SolidWorks, Revit).
3. Experience using project management software (e.g. MS Project, Primavera).

 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: AI-Enhanced UI Development (Front-end Developer)

Key Responsibilities:
1. Design, develop, and maintain interactive and data-driven UI using modern web technologies (HTML, CSS, JavaScript) and Python-based packages (e.g. Dash, Plotly, or similar frameworks).
2. Implement responsive design principles to ensure UIs work seamlessly across various devices and screen sizes.
3. Integrate front-end components with backend services to create cohesive applications.
4. Design, develop, and implement robust RESTful APIs to support UI functionality and integration with backend services while ensuring APIs are secure, scalable, and performant.
5. Document API specifications and provide support for API consumers.
6. Work with data scientists and ML engineers to develop and transition existing UIs to incorporate LLM-based features, enhancing UI and overall experience.
7. Implement NLP and ML models to enable intelligent UI functionalities.
8. Collaborate with cross-functional teams, including data scientists, backend developers, and product managers, to gather requirements and deliver high-quality solutions.
9. Participate in code reviews, design discussions, and team meetings to ensure high-quality code and product development.
10. Provide technical support and troubleshooting for deployed applications and systems.
11. Stay updated with the latest trends and advancements in Python development, UI/UX design, and AI technologies.
12. Continuously improve code quality, performance, and reliability through automated testing, code reviews, and best practices.

Preferred requirements:
1. Bachelor's or master's degree in computer science, engineering, or a related field.
2. Experience with front-end technologies such as HTML, CSS, and JavaScript is a plus.
3. Experience in Python frameworks (Dash, Flask, or similar for building interactive web applications.)
4. Experience with data visualisation libraries such as Plotly, Bokeh, or Matplotlib.
5. Familiarity with cloud services and deployment platforms (e.g., AWS, Azure, Google Cloud).
6. Experience in transitioning traditional UIs to LLM-based interfaces.
7. Familiarity with NLP libraries and frameworks (e.g., spaCy, NLTK, Transformers).

Articares is a leader in innovative medical technologies, developing human-like decision-making robotics and artificially intelligent solutions that facilitate personalised rehabilitation after injuries such as stroke, dementia, and accidents—common occurrences in an ageing population.

These solutions result from close collaboration between experts in the medical and engineering fields, backed by clinical studies, and delivered by a dedicated team committed to making every step of the rehabilitation journey smoother and more manageable.

Today, Articares is one of the fastest-growing companies in this field, with solutions deployed in major healthcare institutions across Singapore, APAC, and the EU. By combining innovations with out-of-the-box business offerings, Articares provides comprehensive support throughout the hospital-to-home journey of patients.

Project role: Medical Robotics Engineer for Quality Management Systems and Regulatory Compliance of AI-based intelligent rehabilitation robotics

Key Responsibilities:

1. Shape effective regulatory strategies for future product launches, ensuring faster and compliant market entry.
2. Continuously monitor evolving standards in AI, robotics, and medical devices to propose innovative development approaches that accelerate time-to-market.
3. Work closely with hardware, software, and AI teams to identify and resolve technical and non-technical challenges, improving both software and robotics development cycles and quality management systems.
4. Initiate and engage in risk management (FMEA) activities specifically involving robotics, AI, and cloud systems, collaborating across teams to mitigate risks and ensure product safety.
5. Develop and maintain AI and robotics technical files, ensuring full compliance with ISO 13485 and other key regulatory standards essential for Deep Tech robotics companies.
6. Build and improve inter-departmental operating procedures and communication strategies to enhance operational efficiency involving robotics, AI, and cloud technology.
7. Manage all activities related to post-market surveillance of deployed robotics and software, ensuring timely closure of customer complaints and CAPA.
8. Assist with other activities as tasked by the management to ensure the smooth operation of the quality management system.

Requirements:

1. Bachelor’s degree in a relevant field, such as engineering, law, medicine, pharmacy, or other scientific disciplines, with a preference for biomedical engineering.
2. Minimum of 1 year of professional experience in regulatory affairs or quality management systems related to medical devices.
3. Strong organisation and communication skills, with proficiency in MS Office tools.
4. Engineering experience in biomedical devices is advantageous.