Opportunity for Degree / Master's Degree Holders that eager to pursue a PhD while simultaneously maintaining a full-time position in the industry.

• Fully-Funded PhD Positions – Synthetic Data Generation
• Fully-Funded PhD Positions – Agentic AI & Edge Computing
• Fully-Funded PhD Positions – Small Multimodal Models

Reolink via Industrial Postgraduate Programme (IPP)

• We currently have three research topics available for Postgraduate Students interested in exploring these opportunities.

Reolink is a leading AI video security camera firm based in Singapore, driving innovation in intelligent visual technology for both home and business. Founded in 2009, our products are trusted by millions of users across more than 110 countries. At the forefront of smart surveillance, Reolink develops cutting-edge unified AI systems—such as Reon Eura—engineered to deliver superior on-device object recognition, predictive risk assessment, and intelligent contextual analysis. We are committed to pushing the boundaries of edge computing, computer vision, and autonomous AI to create the next generation of reliable, user-centric security applications.

Programme Structure (IPP)

Successful candidates will be full-time salaried employees at Reolink (the partnering company) while simultaneously pursuing full-time graduate studies (PhD) at NTU & NUS.

This unique arrangement offers:

• Competitive monthly salary + full PhD tuition coverage.
• Hands-on industry experience alongside academic research.
• Joint supervision by NTU / NUS faculty and Reolink R&D leaders.
• Direct application of research to real-world AI and computer vision products.

Requirements:

• Candidates must be strong in software engineering
• A Bachelor's degree or Master's Degree in Computer Science, Software Engineering, Computer Engineering, or a related field.
• Excellent programming skills ( Python, C++ and deep learning frameworks such as PyTorch / TensorFlow).
• Solid understanding of software design, system integration, and deployment best practices.
• Strong analytical and mathematical foundation.

Remarks:

• 5 Work Days, 8.30am-5.30pm / 9am-6pm
• Office Near to Kaki Bukit MRT, Singapore
• Medical Benefits Provided
• Entitled to Yearly Bonus & Performance Bonus

Job Responsibilities

• Assist in developing and optimizing AI / machine learning models for real-world applications
• Train, evaluate, and improve model performance using structured datasets
• Support experimentation and implementation of deep learning techniques (e.g. CV, NLP)
• Collaborate with engineering teams to integrate AI models into products
• Stay updated with latest AI/ML developments and contribute ideas to projects

Job Requirements

• Bachelor’s degree in Computer Science, Mathematics, Engineering, or related field (Master’s is a plus)
• Strong foundation in machine learning, data structures, and algorithms
• Familiarity with deep learning frameworks (e.g. TensorFlow or PyTorch)
• Basic understanding of computer vision or NLP concepts
• Strong problem-solving skills and ability to learn independently
• Good teamwork and communication skills

Nice to Have

• Exposure to Transformers, Vision Transformers (ViT), or multimodal models (VLMs)
• Experience with AI/ML projects, internships, or competitions
• Familiarity with model training, tuning, and evaluation techniques
• Knowledge of deploying ML models (APIs, cloud, etc.)

Why Join Us

• Kickstart Your Engineering Career
  Gain hands-on experience, with guidance from experienced engineers.
• Structured Learning & Mentorship
  Learn best practices
• Regional Exposure.
  Collaborate with local and regional teams, gaining valuable experience working in a cross-border environment.
• Growth & Career Development
  Clear progression path with opportunities to grow.
• Supportive Team Culture
  Work in a collaborative environment where knowledge sharing and continuous improvement are encouraged.

The Sales Trainee is an entry-level position designed for high-potential individuals looking to launch a career in enterprise software sales. You will undergo a structured development program, learning the nuances of ERP business logic, value-based selling, and relationship management. Your primary goal is to support the senior sales team in identifying new business opportunities while developing the skills necessary to manage your own sales pipeline.

Responsibilities:

• Lead Generation: Conduct market research to identify potential clients and perform cold outreach (calls/emails) to qualify prospects.

• Sales Support: Assist Senior Sales Consultants in preparing presentation decks, product demonstrations, and formal proposals.

• CRM Management: Maintain accurate and up-to-date records of all lead interactions and sales activities within the company’s CRM system.

• Product Learning: Attend functional training sessions to gain a deep understanding of ERP modules (Finance, SCM, Manufacturing) and their business benefits.

• Stakeholder Coordination: Schedule and coordinate discovery meetings between prospective clients and our functional consulting team.

• Market Intelligence: Monitor industry trends and competitor activity to provide feedback to the marketing and sales leadership teams.

• Fully-Funded PhD Positions – Synthetic Data Generation
• Fully-Funded PhD Positions – Agentic AI & Edge Computing
• Fully-Funded PhD Positions – Small Multimodal Models

Reolink via Industrial Postgraduate Programme (IPP)

• We currently have three research topics available for postgraduate students interested in exploring these opportunities.

About Reolink

Reolink is a leading AI video security camera firm based in Singapore, driving innovation in intelligent visual technology for both home and business. Founded in 2009, our products are trusted by millions of users across more than 110 countries. At the forefront of smart surveillance, Reolink develops cutting-edge unified AI systems—such as Reon Eura—engineered to deliver superior on-device object recognition, predictive risk assessment, and intelligent contextual analysis. We are committed to pushing the boundaries of edge computing, computer vision, and autonomous AI to create the next generation of reliable, user-centric security applications.

Programme Structure (IPP) Successful candidates will be full-time salaried employees at Reolink (the partnering company) while simultaneously pursuing full-time graduate studies (PhD) at NTU & NUS. Reolink is a rapidly growing tech company with strong international presence.

This unique arrangement offers:

• Competitive monthly salary + full PhD tuition coverage.
• Hands-on industry experience alongside academic research.
• Joint supervision by NTU / NUS faculty and Reolink R&D leaders.
• Direct application of research to real-world AI and computer vision products.

Opportunity for Postgraduate individual that eager to pursue a PhD while simultaneously maintaining a full-time position in the industry.

• Candidates must be strong in software engineering

• A Bachelor's degree or Master's in Computer Science, Software Engineering, Computer Engineering, or a related field.
• Excellent programming skills ( Python, C++ and deep learning frameworks such as PyTorch / TensorFlow).
• Solid understanding of software design, system integration, and deployment best practices.
• Strong analytical and mathematical foundation.

About audax 

audax means courage. To have the courage to change the banking scene, eliminating constraints caused by existing legacy infrastructure. Our mission is to empower banks and financial institutions to scale and modernise at speed, reaching new customers without breaking the bank. 

We began our journey supplying services to and powering Standard Chartered’s white-label plug and play Banking-as-a-Service (BaaS) solution, Standard Chartered nexus, through our technology capabilities. At audax, we seek go-getters who are hungry for growth and can bring fresh perspectives. 

Website - https://www.audax.io  

What You’ll Do:

1.     Firewall, Network Proxy, and EDR Management: 

• Firewall Management: Oversee the configuration, maintenance, and monitoring of firewall systems to enforce security policies and control network traffic effectively. 

• Network Proxy Management: Manage proxy servers to secure internet traffic, optimize performance, and troubleshoot issues as needed. 

• Endpoint Detection and Response (EDR) Management: Manage EDR tools across endpoints, configure policies for threat detection and response, and analyze endpoint data for security anomalies. 

2.     Threat Detection and Content Creation: 

• Write and refine rules, signatures, and queries to detect security threats effectively. 

• Develop and update security detection content for SIEM (Security Information and Event Management) systems. 

3.     Vulnerability and Threat Management: 

• Manage vulnerability assessment and remediation programs, prioritizing and mitigating security vulnerabilities. 

• Coordinate with technology operations teams to apply patches and updates to systems and applications. 

• Monitor and respond to emerging threats, implementing proactive measures to protect systems and data. 

4.     Incident Response: 

• Perform security monitoring and triaging for potential threats and SIEM alerts. 
• Develop and maintain incident response plans and procedures, coordinating responses during security incidents or breaches. 
• Lead incident response teams, ensuring timely resolution and post-incident analysis to prevent future occurrences. 

5.     Access Review and Security Exceptions: 

• Establish and maintain access review processes to ensure appropriate access rights and permissions. 
• Manage and review user requests for security exceptions, balancing business needs with security requirements. 
• Implement controls and monitor activities to detect unauthorized access attempts and policy violations. 

6.     Collaboration with Engineering Teams: 

• Work closely with engineering teams to integrate security best practices into the development lifecycle. 
• Conduct security reviews of infrastructure, applications, and new technologies, providing recommendations for security enhancements. 
• Collaborate on the design and implementation of secure architecture and solutions. 

7.     Service Management: 

• Provide oversight of security service delivery, ensuring SLAs (Service Level Agreements) are met. 
• Manage relationships with security service providers and vendors, evaluating services and negotiating contracts. 

8.     Compliance and Reporting: 

• Ensure compliance with relevant security standards, regulations, and best practices. 
• Generate regular reports on security metrics, incidents, vulnerabilities, and operational status. 
• Participate in audits and assessments related to security operations. 

9.     Audit Management: 

• Manage and coordinate security audits conducted internally or by external auditors. 
• Prepare audit responses and action plans, implementing corrective measures and tracking progress. 

Who You Are:

• Bachelor’s degree in Computer Science, Information Technology, or related field; advanced degree or certifications (e.g., CISSP, CISM) preferred. 
• Proven experience in a security operations role with hands-on experience in firewall management, network proxy, EDR, incident response, and threat detection. 
• Strong understanding of security principles, protocols, and technologies. 
• Experience with access control, vulnerability management, audit management, and compliance frameworks (e.g., PCI-DSS, GDPR). 
• Excellent communication skills and ability to collaborate effectively across teams and stakeholders. 
• Fresh graduates with the right skillet and aptitude may also be considered. 

Why Join Us? 

• Be Part of a Bold Vision – At audax, we’re not just building software – we’re transforming how financial institutions and businesses manage risk, compliance, and growth. Join a team that’s fearless in challenging the status quo.
• Flexible, People-First Workplace – We value the importance of Family, Team, Self. In that order.
• Competitive Rewards and Startup Perks – We offer competitive salaries and meaningful benefits that look after your well-being. 

Privacy Notice:
Please note: by submitting your application, you acknowledge that you have read and understood audax’s Privacy Policy for Employees, Freelancers, Contractors and Job Applicants (the “Policy”), and consent to the collection, use and disclosure of your personal data by audax for the purposes set out in the Policy. You may withdraw consent for such collection, use and disclosure, and make an access or correction request in respect of your personal data, in accordance with the Policy by emailing dpo@audax.io.

Note: This role is not open to recruitment agencies. Thank you.

Executive Summary

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications, and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions. As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We are looking to hire a motivated AI Automation Engineer / Specialist in Singapore to support our client, a top global investment bank. You will be responsible for developing, testing, and maintaining automation solutions to enhance efficiency, reduce manual efforts, and improve system performance.

Responsibilities:

• Develop and implement automation using programming or scripting (such as Python) or other relevant technologies.
• Collaborate with teams to identify automation opportunities in workflows, systems, and processes.
• Leverage AI/ML-based tools or frameworks to enhance automation capabilities, improve efficiency, and enable intelligent process automation.
• Design, test, and maintain automation frameworks for software, infrastructure, or operational tasks.
• Troubleshoot and resolve automation-related issues to ensure seamless execution.
• Document automation processes, best practices, and technical solutions for future reference.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.
• Knowledge of any automation programming or scripting language (such as Python)
• Basic understanding or exposure to AI/ML concepts or AI-driven automation tools (e.g., NLP, intelligent automation platforms)
• Past relevant internship or work experience in programming or scripting will be highly advantageous
• Possess interest to pursue a career in the Data Centre / IT Infrastructure domain
• Strong analytical and problem-solving skills with a passion for automation.
• Eagerness to learn and apply new technologies in automation and system optimization.