HKSTP announces the launch of the Student Internship Programme (SIP) 2026, which has been open for applications since mid-May 2026.-SIP 2026 is designed to equip students with essential skillsets, industry exposure, and professional networks, supporting their transition into the innovation and technology (I&amp;T) sector upon graduation. The programme also enables companies to engage early with emerging talent and contribute to workforce development.-Eligible HKSTP partner companies can receive funding support to employ qualified student interns, providing students with meaningful, hands-on experience in real-world business environments.-*Please note that funding support is allocated on a&nbsp;first-come, first-served basis.-For further details, please feel free to contact TecONE at 2629 2383 or sip@hkstp.org.

HKSTP Student Internship Programme 2026

Blooming with AI: HKSTP Summer Talent Fest 2026 cum Kick-off Ceremony for "AI for All" Inclusive Programme-Event Details:&nbsp;Date: 14 July 2026 (Tuesday) Time: 10:00 AM &ndash; 1:30 PM&nbsp; (Register at 10:00 AM) Venue: 1/F -2/F, Building 10W, Hong Kong Science Park, Shatin (The Golden Egg)-Event Rundown:&nbsp;10:00 AI+ Tech Showcase (Try the Tech Live - Experience groundbreaking AI straight from HKSTP park companies)11:00 Welcome Remarks &amp; Keynote Address | "AI for All" Inclusive Programme Kick-off11:30 The AI Leadership Forum (Real Strategies - Learn from industry leaders to navigate the dynamic I&amp;T landscape)12:00 Meet &amp; Spark (Unlock Your Next Milestones - Connect with founders and talents in a relaxing setting to land your next gig)-SIGN UP NOWIndustry Leaders, Founders, and Innovators Registration Link: <a href="https://2vx.io/Xci40uc" target="_blank" rel="noopener">https://2vx.io/Xci40uc</a>Students, Interns and Professionals Registration Link: <a href="https://2vx.io/DeGV7ct">https://2vx.io/DeGV7ct</a>

Blooming with AI: HKSTP Summer Talent Fest 2026

HKSTP Global Internship 2026

HYAB Youth Start-up Internship Programme (YSIP)

Talent Foundry

Position OverviewThis role serves as a Lecturer/Mentor for the Centre's Innovation Camps, Mini-Camps, robotics competitions, and other STEM education programs, taking on responsibilities in curriculum planning, technical mentoring, project facilitation, and evaluation.We are not looking for someone who simply delivers knowledge through lectures. Instead, we seek an entrepreneurial technical mentor who can employ project-based learning (PBL) and inquiry-based facilitation as core methodologies, providing technical expertise while accompanying students through the journey from problem identification to product definition. You will lead student teams with a "learning by doing" approach, offering hands-on technical mentorship in hardware design, system integration, algorithm implementation, and more—encouraging bold hypotheses, rapid iteration, and innovative solutions to genuine industry pain points.We expect you to have a solid understanding of and alignment with the XbotPark New Engineering Education philosophy—a problem-driven, project-based, and student-centered approach that cultivates interdisciplinary talent with entrepreneurial thinking and hands-on engineering capabilities.Key ResponsibilitiesCurriculum Planning &amp; Instructional Design<ul><li>Contribute to the camp curriculum design in construction robotics/smart construction, integrating XbotPark New Engineering Education principles into teaching modules</li><li>Design project-based learning (PBL) challenges covering industry pain-point exploration, technology path selection, product definition, and prototype validation</li><li>Prepare technical reference materials, hardware/software solution templates, and supporting teaching resources</li></ul>Technical Mentoring &amp; Project Facilitation (Non-Traditional Teaching)<ul><li>Serve as a technical mentor and facilitator rather than a lecturer—stimulate students' independent thinking and decision-making through technical reviews, design critiques, and iterative feedback</li><li>Provide hands-on technical guidance in hardware development, embedded systems, algorithm deployment, and system integration</li><li>Guide student teams through the full cycle from problem definition to functional prototype delivery; help them make sound decisions in technology selection, system architecture, and product definition</li><li>Organize team discussions, project reviews, and pitch sessions; help students develop engineering and product mindsets</li></ul>Teaching Support<ul><li>Participate in overall camp instructional design and scheduling</li><li>Assist in organizing site visits and company tours</li><li>Support the Centre in preparing teaching evaluations and summary reports</li></ul>RequirementsCore Competencies:<ul><li>Excellent writing and proposal development skills; ability to independently create and deliver PPT presentations</li><li>Strong data analysis and research capabilities</li><li>Clear logical thinking and structured mindset</li><li>Fast learning ability; ability to thrive in a fast-paced innovation and entrepreneurship environment; genuine passion for tech entrepreneurship</li><li>Composed, detail-oriented, with strong communication, coordination, organizational, and interpersonal skills</li><li>Willing and able to travel frequently and work flexible hours; strong resilience under pressure</li><li>Well-rounded, proactive, with a global perspective</li></ul>Professional Background &amp; Experience:<ul><li>Master's degree or above in Robotics, Automation, Mechanical Engineering, Electronic Engineering, Computer Science, AI, or related fields</li><li>Solid understanding of the XbotPark New Engineering Education system, with alignment to project-based learning (PBL) and inquiry-based facilitation; relevant teaching or TA experience is a plus</li><li>Hands-on product R&amp;D experience in smart construction/construction robotics, or full-cycle smart hardware entrepreneurship experience (from concept to mass production), with a deep understanding of the technical challenges and key decision points in hard-tech startups</li><li>Strong engineering practice capability in at least one technical area: robotic system design, mechatronics, embedded systems, computer vision, or SLAM</li><li>Familiarity with the engineering process from prototype to product; understanding of industrialization factors such as cost control, supply chain management, and reliability design in hardware product development</li><li>Experience in project-based teaching; ability to serve as both a "technical mentor" and a "facilitator," leading students through 0-to-1 product definition and prototyping</li><li>Experience in mentoring robotics competitions (e.g., RM, RC) is a plus</li><li>Excellent command of both English and Chinese; Cantonese proficiency is a plus</li><li>Passion for hard-tech entrepreneurship and innovative education; entrepreneurial mindset and open attitude</li></ul>What You Gain:<ul><li>Deep involvement in HKCRC's teaching and technological innovation practices in smart construction</li><li>Close collaboration with top industry experts and entrepreneurial teams</li><li>Tangible impact on cultivating innovation talent and hard-tech entrepreneurship education</li><li>Opportunity to participate in HKCRC's cutting-edge research and commercialization projects</li></ul>How to Apply:Please send your CV (PDF format) and relevant teaching/project experience documentation to: careerhkcrc@ust.hkEmail subject and CV file naming format: Position Applied-Name-University-Major

Innovation Camp Lecturer/Mentor

Job Highlights:<ul><li>5 years or above relevant BIM or construction experience</li><li>Great career progression (Support for achieving higher professional qualifications)</li><li>Opportunities to work on international projects.</li><li>Exposure to a diverse range of projects across the full project lifecycle (including developing government BIM standards, providing ISO 19650 consultancy services, and establishing digital twins for clients).</li></ul> Responsibilities:<ul><li>Responsible for multi-discipline coordination with BIM.</li><li>Collaborate, coordinate, and liaise with various discipline consultants and contractors to resolve issues with BIM.</li><li>Optimize or automate the BIM workflow; develop best practices to facilitate smooth BIM project delivery.</li><li>Assign BIM tasks to team members and closely monitor overall model status and progress.</li><li>Ensure all project deliverables are issued on time and strictly adhere to quality standards.</li><li>Prepare internal progress reports for management.</li></ul>Requirements:<ul><li>Higher Diploma or above in Architecture / Construction Management / Building Services / Mechanical Engineering or related disciplines.</li><li>5 years or above relevant BIM or construction experience.</li><li>Good command of both written and spoken English and Chinese. </li><li>With CCBC (CIC-Certified BIM Coordinator) qualification is a must. </li><li>Knowledge of local HK BIM Standards (CIC, BIM Harmonisation Guideline) and Government Standards (Housing Authority, EMSD, ArchSD, etc.) is mandatory.</li><li>Experience of advanced software and automation tools (e.g., Dynamo, Python / Revit API, Rhino, Civil 3D, Tekla, Fuzor) will be a distinct advantage.</li></ul><ul><li>Knowledge of PropTech (IoT, Smart Building Systems) and digital solutions (Digital Twins, CDE) is a distinct advantage.</li><li>Hands-on AI experience (e.g., agentic AI, no-code/low-code, AI tool development) is a strong advantage.</li></ul><ul><li>Candidates with less experience will be considered for the BIM Engineer position.</li></ul>Personal data collected will be used for recruitment purpose only; all the information shall be kept confidential.

BIM Modeller / BIM Coordinator

## Job Summary We are looking for an Embedded Software Engineer to join our robotics team at Hong Kong Science Park. You will work on robotic hardware control and sensor data acquisition. Developing low-level firmware and real-time control systems for mobile robots. ## Responsibilities - Develop low-level drivers for robot embedded systems, with hands-on expertise in STM32 (HAL/LL libraries) hardware interfaces (SPI/I2C/UART &amp; RS485/Modbus/CAN bus).- Collaborate with the hardware team on core control board and being familiar with hardware fault diagnosis.- Write technical documentation including driver design docs, API references, test reports, and production maintenance guides.- Develop and maintain tooling to validate and verify MCU board functionality. ## Requirements - Bachelor's degree or above in Computer Science, Electronic Engineering, Automation, Communications, or a related field.- Minimum 0-3 year of hands-on STM32 or similar embedded development; strong embedded C/C++ skills with clean, well-structured coding practices.- Proficient in configuring and debugging DMA, timers, ADC, and communication buses (SPI/I2C/UART); skilled with oscilloscopes, logic analyzers, and EMC/EMI troubleshooting. ### Skills- STM32 / embedded C/C++ development (HAL/LL libraries)- Communication buses: SPI / I2C / UART / RS485 / Modbus / CAN bus- DMA, timers, ADC configuration and debugging- PWM motor control and PID tuning- Hardware fault diagnosis (oscilloscopes, logic analyzers, EMC/EMI)

Embedded Software Engineer — Robotics

Company &amp; Role Vision We are a company focused on 6.78MHz high-frequency magnetic resonance wireless power transfer technology. We are looking for an exceptional research talent to lead the technical R&amp;D and architecture development of our core hardware systems — starting from fundamental physics to tackle high-frequency distributed power-delivery systems, addressing the core range/endurance challenge in embodied intelligence applications.Core Responsibilities<ol data-sourcepos="88:1-91:253;2644-3711"><li data-sourcepos="88:1-88:292;2644-2935">Systematic R&amp;D &amp; Architecture: Lead hardware architecture research for distributed wireless charging systems, from electromagnetic field simulation/modeling through complex circuit implementation, solving electromagnetic coupling and phase synchronization across multiple power units.</li><li data-sourcepos="89:1-89:279;2936-3214">Key Technical Breakthroughs: Conduct deep research on loss control, magnetic coupling mechanism optimization, and system stability in high-frequency scenarios — particularly impedance matching and high-frequency electromagnetic shaping under variable-coupling conditions.</li><li data-sourcepos="90:1-90:244;3215-3458">Experimental Development &amp; Optimization: Drive R&amp;D outputs from theoretical prototypes to high-performance production samples, resolving key engineering challenges such as thermal management, EMI/EMC suppression, and system reliability.</li><li data-sourcepos="91:1-91:253;3459-3711">Frontier Technology Collaboration: Engage in deep technical exchange with core component suppliers (e.g., custom magnetic materials, third-generation semiconductor manufacturers) to ensure optimal component performance matching in R&amp;D solutions.</li></ol>Requirements<ul data-sourcepos="94:1-101:136;3730-4664"><li data-sourcepos="94:1-94:128;3730-3857">Academic Background: Master's or PhD in Power Electronics, Electrical Engineering, Automatic Control, or a related field.</li><li data-sourcepos="95:1-95:139;3858-3996">Experience: 3+ years of power electronics R&amp;D experience, with prior involvement in the design of complex power electronics systems.</li><li data-sourcepos="96:1-99:126;3997-4437">Technical Expertise:<ul data-sourcepos="97:3-99:126;4026-4437"><li data-sourcepos="97:3-97:138;4026-4161">Proficient in various high-frequency power topologies (e.g., resonant converters, Class E/EF, DC-DC) and advanced control strategies.</li><li data-sourcepos="98:3-98:150;4164-4311">Deep understanding of GaN/SiC third-generation semiconductor applications, with hands-on experience in 6.78MHz or other MHz-level circuit design.</li><li data-sourcepos="99:3-99:126;4314-4437">Skilled in simulation tools such as MATLAB/Simulink, Maxwell, HFSS, or Spice for system-level and field-level simulation.</li></ul></li><li data-sourcepos="100:1-100:91;4438-4528">Language: Fluent in Mandarin and English for technical communication and daily work.</li><li data-sourcepos="101:1-101:136;4529-4664">Traits: Entrepreneurial drive, able to independently tackle high-difficulty technical challenges, and strong hands-on capability.</li></ul>What We Offer<ul data-sourcepos="104:1-106:130;4684-5069"><li data-sourcepos="104:1-104:159;4684-4842">Core R&amp;D Ownership: Direct involvement in the commercialization of frontier technology, with a high degree of technical autonomy and research influence.</li><li data-sourcepos="105:1-105:97;4843-4939">Compensation: Competitive salary and benefits, year-end bonus, and core equity incentives.</li><li data-sourcepos="106:1-106:130;4940-5069">Global Environment: Access to a world-leading technology ecosystem, leveraging Hong Kong Science Park's strategic location.</li></ul>

Senior R&D Engineer (Power Electronics)

Job Responsibilities<ol><li>Market Research<ul><li>Gather and analyze market data, competitor information, and customer feedback.</li><li>Identify market trends and opportunities.</li></ul></li><li>Marketing Campaign Support<ul><li>Assist in planning and executing marketing campaigns across various channels (digital, social media, events, etc.).</li><li>Prepare marketing materials and content.</li></ul></li><li>Customer Engagement<ul><li>Support customer acquisition and retention initiatives.</li><li>Handle customer inquiries and provide product information.</li></ul></li><li>Sales Support<ul><li>Provide sales team with necessary marketing resources and support.</li><li>Track and report on marketing campaign performance.</li></ul></li><li>Brand Promotion<ul><li>Help maintain and enhance the company’s brand image.</li><li>Assist in organizing brand-related activities and events.</li></ul></li></ol>

Marketing Assistant（Internship）

Responsibilities:<ul><li>Research and develop software, hardware electronics, and algorithms for robotic drone systems, including localization and control.</li><li>Participate in the research and development of novel mechatronics systems and PCB hardware design, and assist with system prototyping and assembly processes.</li><li>Develop and execute comprehensive test plans, and provide technical support during field trials, including system implementation and troubleshooting.</li></ul>Qualifications:<ul><li>Bachelor’s degree or higher in Electrical Engineering, Computer Science, Computer Engineering, Control Engineering, or a related field.</li><li>Proficiency in C/C++, Python, and working within a Linux environment.</li><li>Self-motivated, eager to learn, and capable of tackling challenges with a positive attitude and strong communication skills.</li><li>Bonus: Experience with PCB design tools (Altium/KiCad/Eagle).</li><li>Bonus: Experience with robotics technologies such as Robot Operating System (ROS/ROS2) or running simulations (e.g., Gazebo).</li><li>Bonus: Experience or familiarity with drone platforms, PX4 flight control software, robotics control systems, embedded systems, or OpenCV.</li></ul>

Mechatronics Engineer (Robotics)

Job description:<ul><li> Full-Stack System Development Contribute to end-to-end development (frontend + backend) Build features using React + FastAPI</li></ul><ul><li> RAG System Design &amp; Optimization Build and improve RAG pipelines for contract use cases: Document parsing (PDFs, OCR, tables) Chunking, embedding, and retrieval optimization Long-context reasoning and context management Improve retrieval accuracy and generation reliability</li></ul><ul><li> LLM Application Engineering Design prompt and context management strategies Reduce hallucinations in high-stakes outputs Build traceable and auditable AI outputs</li></ul><ul><li> Engineering Challenges Complex document processing (OCR, layout analysis, table extraction) Structured extraction from unstructured contract data Improve robustness of LLM systems in real-world scenarios</li></ul>Job requirements:Must have:<ul><li>Strong proficiency in Python</li><li>Basic full-stack capability (React / TypeScript / FastAPI)</li><li>Genuine understanding or experience with LLMs or RAG systems</li><li>Ability to turn ideas into working prototypes independently</li><li>Strong logical thinking and engineering mindset</li></ul>Nice to have:<ul><li>Experience with LangChain / LlamaIndex</li><li>Familiarity with vector databases (Milvus / pgvector / Pinecone)</li><li>Experience with local model deployment (vLLM / Ollama)</li><li>Experience with OCR / document understanding pipelines</li><li>Interest in long-context reasoning or retrieval optimization</li><li>Experience using AI coding tools (Claude Code, Codex, etc.)</li></ul>

AI Engineer Intern (RAG/LLM)

We are hiring! Come join our team of professionals passionate to game! We also welcome IANG and TPS visa holder job seekers. What you will be doing:<ul><li>Develop, maintain, and enhance backend services and web applications powering Tower of Saviors (神魔之塔).</li><li>Optimize API performance, database efficiency, scalability, and overall system reliability.</li><li>Collaborate closely with game designers, frontend developers, and QA throughout the software development lifecycle.</li><li>Write unit and integration tests using PHPUnit, Jest, or Mocha to ensure software quality.</li></ul>What you need for this position:<ul><li>Bachelor’s degree in Computer Science, Computer Engineering, or a related discipline.</li><li>2 to 3+ years of experience in backend or full-stack web application development.</li><li>Passion for gaming and building high-quality player experiences.</li><li>Proficiency in React and one or more of the following technologies: PHP / Laravel / TypeScript / Node.js</li><li>Understanding of RESTful APIs, relational databases, and software design principles.</li></ul>Nice to have<ul><li>Experience with CI/CD pipelines (e.g. Jenkins, GitHub Actions).</li><li>Familiarity with cloud platforms such as AWS, GCP, or Azure.</li><li>Experience using AI-assisted development tools such as GitHub Copilot, Codex, or Cursor. </li></ul>Working Location &amp; Hours: <ul><li>Hong Kong Science Park, Shatin</li><li>5-day work, 10:00 – 19:00 (Lunch hour 13:45 – 15:00) </li></ul> We Offer:<ul><li>5-day Work Week with Flexible Working Hours</li><li>Discretionary Performance Bonus</li><li>Medical Coverage</li><li>Overtime Meal and Transportation Subsidy</li><li>Birthday and Marriage Leave</li><li>Fun, Exciting and Creative Working Environment</li></ul> Application method: Interested candidates please click the "Apply Now" button to apply and provide your portfolio for our review. We are an equal opportunity employer and welcome applications from all qualified candidates. All information provided will be treated in strict confidence and used for recruitment purposes only

Senior Programmer (Server)

Job ResponsibilitiesInnovation &amp; Research: • Explore state-of-the-art technologies in AI-driven quality management, Statistical Process Control, process capability analysis, quality traceability, and anomaly detection for PCB/FPC manufacturing. • Lead the algorithm design and system architecture of the AI + SPC quality intelligence system, covering quality data modeling, control chart analysis, process capability evaluation, yield prediction, and root cause analysis. • Apply statistical methods, machine learning, and large language models to enable intelligent quality monitoring, anomaly warning, and data-driven process improvement. • Participate in overall platform architecture design, bridging statistical modeling, AI capabilities, and industrial system implementation through model validation, integration, and performance optimization.Collaboration &amp; Implementation: • Collaborate with manufacturing clients, quality teams, process engineers, and internal product teams to identify quality bottlenecks and develop intelligent quality management solutions. • Integrate R&amp;D outcomes into scalable and reusable modules for SPC analysis, quality traceability, anomaly diagnosis, and automated quality reporting. • Work cross-functionally with other modules, such as ERP, MES, AI Assistant, Quotation, and Engineering Data Parsing, to build an end-to-end intelligent manufacturing ecosystem. • Share research findings and contribute to a culture of statistical rigor, engineering excellence, and continuous quality improvement within the team.⸻Qualifications &amp; Preferred SkillsEducation &amp; Foundation: • Master’s or PhD in Statistics, Applied Mathematics, Industrial Engineering, Quality Engineering, Computer Science, Artificial Intelligence, Automation, or a related field. • Solid foundation in statistics, data analysis, machine learning, and manufacturing quality management, with strong interest in AI-driven industrial systems.Technical Expertise: • Proficiency in Python, with hands-on experience in statistical modeling, data analysis, algorithm design, and system development. • Familiarity with statistical methods such as hypothesis testing, regression analysis, ANOVA, time series analysis, anomaly detection, DOE, SPC, and process capability analysis. • Knowledge of control charts, CPK/PPK, yield analysis, quality traceability, root cause analysis, FMEA, MSA, 8D, or CAPA is a plus. • Experience with Pandas, NumPy, SciPy, Scikit-learn, Statsmodels, PyTorch, TensorFlow, SQL, Linux, Git, Docker, and API development preferred.Mindset &amp; Competencies: • Passionate about applying AI and statistical methods to real-world manufacturing quality challenges. • Strong problem-solving and analytical mindset, able to translate quality problems into measurable, explainable, and deployable technical solutions. • Excellent communication and cross-functional collaboration skills, capable of working effectively with quality, production, engineering, IT, and remote teams.

Where Talent Meets Opportunity