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

HKSTP Global Internship 2026

HYAB Youth Start-up Internship Programme (YSIP)

“AI for All” Inclusive Programme - Talent Foundry

Applications are invited for appointment as Postdoctoral Fellow at E-Vity Limited, based at Hong Kong Science Park. E-Vity focuses on the research and development of advanced optical cavity technologies for improved light efficiency, optical confinement and system stability, with applications in sensing and UVC-related technologies. Job Description<ul><li>Conducting applied research and experimental studies related to optical technologies and sensing applications</li><li>Performing optical and spectroscopic characterization, experimental evaluation, AI/ML-based data analytics and quantitative modelling </li><li>Translating research findings into practical applications and supporting prototype development and technology evaluation</li><li>Preparing technical reports, research publications, presentations, patent-related activities and relevant R&amp;D documentation</li><li>Handling other relevant tasks as assigned by the supervisor</li></ul>Skills and Requirements<ul><li>Field of Study: PhD degree in Physics, Materials Science and Engineering, or related disciplines</li><li>Preferably with research experience in optical and spectroscopic characterization, experimental research and quantitative analysis</li><li>Strong capability in integrating experimental measurements with AI/ML-based data analytics and quantitative modelling</li><li>Experience in FTIR, spectroscopic ellipsometry, Raman spectroscopy or related analytical techniques is an advantage</li><li>Experience in scientific data analysis and computational methods is an advantage</li><li>Strong interest in conducting applied research and developing innovative technologies</li><li>Good English communication and technical writing skills</li><li>Good time management with a strong sense of responsibility and research ethics</li><li>Mature, self-motivated and able to work independently as well as collaboratively</li></ul>How to Apply: Interested candidates are invited to submit their resume (CV) and a cover letter detailing their qualifications and experience, quoting the job reference number, with information on current/expected remuneration and availability to evitylimited@gmail.com. A competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and other benefits. Review of applications will commence as soon as possible and continue until the position is filled. Join E-Vity Company Limited and be a part of a team that is at the forefront of optical technology innovation!

Postdoctoral Fellow

We are seeking a Senior R&amp;D Engineer with strong expertise in wireless power transfer and millimeter-wave (mmWave) wireless systems. The successful candidate will lead research and development of advanced RF, antenna, and mmWave technologies at our Hong Kong Science Park laboratory. This role is eligible for the HKSTP Research Talent Hub (RTH-SPC) programme with attractive monthly funding support. Responsibilities<ul><li>Lead R&amp;D projects on wireless power transfer technologies, including resonant wireless charging and mid-/long-range wireless power delivery</li><li>Design and develop mmWave wireless data transmission systems operating between 30–300 GHz</li><li>Conduct system-level simulation, RF/microwave circuit design, and performance optimization</li><li>Develop innovative antenna structures and beamforming algorithms</li><li>Build test setups and perform system-level measurements using VNAs, spectrum analyzers, and microwave test equipment</li><li>Analyze experimental results and prepare technical reports, documentation, and research publications</li><li>Collaborate with cross-functional teams to translate research outcomes into prototypes and product concepts</li><li>Support patent applications and provide technical mentorship to junior engineers</li></ul>Requirements<ul><li>PhD in Electronics Engineering, Electrical Engineering, Computer Engineering, or related disciplines; if the degree is earned outside Hong Kong, the awarding university must be ranked within the QS Top 100</li><li>Strong research background in wireless power transfer, RF/microwave engineering, or mmWave systems</li><li>Experience with EM simulation tools (HFSS, CST, ADS)</li><li>Solid understanding of electromagnetics, RF circuit theory, antenna design, and microwave systems</li><li>Proficiency in MATLAB, Python, or C++ for modeling and algorithm development</li><li>Hands-on experience with PCB design, RF testing, and measurement setups</li><li>Strong analytical, problem-solving, and communication skills</li><li>Fluent in English and Mandarin</li></ul>

Senior R&D Engineer

About the roleWe are looking for a Senior AI Engineer to conduct research and development on world models and robot learning algorithms for embodied intelligent robots. You will work on policy training, model pre-training and behavioral learning using large-scale simulation datasets, and develop robot perception, prediction, planning and control algorithms based on deep learning, imitation learning and reinforcement learning. You will also explore cutting-edge technologies including world models, robot foundation models and Vision-Language-Action (VLA), and deliver prototype design, experimental validation and deployment on robot platforms. Key responsibilities<ul><li>Research and develop world models and robot learning algorithms for embodied intelligent robots.</li><li>Explore methodologies for robot policy training, model pre-training and behavioral learning leveraging large-scale simulation datasets.</li><li>Develop robot perception, prediction, planning and control algorithms built upon deep learning, imitation learning and reinforcement learning.</li><li>Investigate Sim-to-Real, domain randomization and few-shot real-world data adaptation techniques to improve generalization of robot algorithms across real environments and diverse task scenarios.</li><li>Establish pipelines for multi-modal data processing, model training, evaluation and validation for robots.</li><li>Research state-of-the-art technologies including world models, robot foundation models and Vision-Language-Action (VLA); perform algorithm prototyping, experimental verification and deployment testing on robot platforms. </li></ul>About you<ul><li>PhD degree in Computer Science, Automation, Electronic Engineering, Mathematics, Biomedical Engineering or other related STEM disciplines. Winners of the International Mathematical Olympiad (IMO) and/or Chinese Mathematics Olympiad (CMO) are strongly preferred.</li><li>Minimum 1 year of research, development or project experience in world models, robot learning, reinforcement learning, imitation learning, embodied intelligence, robot simulation or related fields.</li><li>Solid theoretical foundation in robotics, deep learning and mathematics.</li><li>Proficient in Python and PyTorch or other mainstream deep learning frameworks.</li><li>Hands-on experience with at least one robot simulation platform such as Isaac Sim / Isaac Lab, MuJoCo or Gazebo.</li><li>Strong problem-solving capability, good cross-team communication and collaboration skills. </li></ul>How to applyPlease submit your resume to hr01@nineraytech.com. Email subject format: Application for Senior AI Engineer ‑ [Your Full Name]

Senior AI Engineer

Key Responsibilities<ul><li>Lead architecture and microarchitecture research for DiPU-based AI video processing SoCs.</li><li>Conduct RTL design and verification methodology research for complex SoCs.</li><li>Research 3D near-memory architecture and advanced process nodes (5nm/3nm).</li><li>Design and execute experiments on chip performance, power, and reliability.</li></ul>Requirements<ul><li>PhD or Master's degree in Electrical Engineering, Computer Engineering, or a related STEM field.</li><li>15+ years of R&amp;D experience in chip design, RTL (Verilog/VHDL), and verification (UVM, SystemVerilog).</li><li>Strong background in microarchitecture, low-power design, and advanced verification methodologies.</li><li>R&amp;D experience with advanced process nodes (5nm/3nm) and 3D stacking technology is preferred.</li></ul>How to Apply Interested and qualified candidates are invited to send their CV and cover letter toliutianyun@transtreams.comwith the subject line "Hardware R&amp;D Lead (Chip Design &amp; Verification) Application".

Hardware R&D Lead (Chip Design & Verification)

Job DetailsPosition OverviewWe are seeking a dedicated AI Research Scientist to join our foundation model research team. The ideal candidate will have hands-on experience in training large-scale models and a strong passion for advancing fundamental research in foundation models. This position is designed to support early-career researchers in developing their expertise while contributing to cutting-edge AI research.Key Research Responsibilities<ul><li>Conduct fundamental research in large-scale foundation model architectures and training methodologies</li><li>Design and implement novel approaches to video generation using transformer-based architectures</li><li>Develop and optimize model training algorithms for distributed computing environments</li><li>Investigate scaling laws and efficiency improvements for foundation model training</li><li>Research innovative techniques to enhance model capabilities and performance</li><li>Implement and evaluate state-of-the-art methods in multimodal AI and video synthesis</li><li>Collaborate with research team members on joint research projects and publications</li><li>Contribute to the development of proprietary research datasets and evaluation metrics</li><li>Conduct experimental validation of theoretical approaches and document findings</li><li>Participate in research discussions and present findings at internal research meetings</li><li>Publish research paper on top-tier AI/ML conferences or journals</li></ul>Required Qualifications<ul><li>Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or related field</li><li>2+ years of research experience in large-scale model training, preferably at:</li></ul>o International research institutions or tech companies (e.g., Google Research, Meta AI, Microsoft Research, OpenAI, Anthropic) ORo Leading Chinese research labs or tech companies (e.g., ByteDance AI Lab, Alibaba DAMO Academy, Baidu Research, Tencent AI Lab, SenseTime Research, Huawei Noah's Ark Lab)<ul><li>Strong research background in distributed training systems and large-scale model optimization</li><li>Deep understanding of transformer architectures, attention mechanisms, and their variants</li><li>Proven research experience in developing and training foundation models</li><li>Proficiency in PyTorch and/or JAX for research implementation</li><li>Publication record in top-tier AI/ML conferences (NeurIPS, ICML, ICLR, CVPR, ICCV) or strong research portfolio</li></ul>Preferred Research Qualifications<ul><li>Research experience bridging Chinese and international AI research communities</li><li>Knowledge of Chinese AI research infrastructure and platforms (e.g., ModelArts, PAI, ByteMLab)</li><li>Research background in scaling laws and efficient training methodologies</li><li>Specialized research experience in video generation models or multimodal architectures</li><li>Active contributions to open-source research projects and ML frameworks</li><li>Research experience in ML systems and infrastructure optimization</li><li>Knowledge of mixed-precision training techniques and model parallelism strategies</li><li>Experience with custom CUDA kernel development for research applications</li></ul>Technical Research Skills<ul><li>Foundation Model Research: Transformer architectures, attention mechanisms, scaling methodologies</li><li>Distributed Training Research: Multi-GPU/multi-node training, model parallelism, gradient synchronization</li><li>Cloud Research Infrastructure:</li></ul>o International platforms (AWS/GCP for research computing)o Chinese platforms (Alibaba Cloud, Tencent Cloud, Huawei Cloud)<ul><li>Programming: Python, CUDA, C++ (beneficial for optimization research)</li><li>Research Frameworks:</li></ul>o Standard: PyTorch, JAX, Hugging Face Transformers, DeepSpeed, Megatron-LMo Chinese ecosystem: PaddlePaddle, MindSpore (advantageous)<ul><li>Research Tools: Git, Docker, Jupyter, Weights &amp; Biases, MLflow, TensorBoard</li></ul>Research Environment &amp; Support<ul><li>Access to substantial GPU computing resources for large-scale experiments</li><li>Opportunity to conduct cutting-edge research in video generation and foundation models</li><li>Collaborative research environment with opportunities for co-authored publications</li><li>Support for attending international AI/ML conferences and workshops</li><li>Access to research datasets and computational infrastructure</li><li>Mentorship opportunities with senior researchers in the field</li><li>Regular research seminars and technical discussions</li><li>International collaboration opportunities with leading research institutions</li></ul>Research Impact Goals<ul><li>Advance the state-of-the-art in foundation models for video generation</li><li>Contribute to high-impact research publications in top-tier venues</li><li>Develop novel methodologies that can be translated into practical applications</li><li>Build expertise in large-scale AI model research within the Hong Kong innovation ecosystem</li></ul>Application RequirementPlease submit:<ol><li>Comprehensive CV highlighting research experience and publications</li><li>Research statement (2-3 pages) outlining your research interests and vision for foundation model research</li><li>List of significant research projects with detailed descriptions of your contributions</li><li>Links to Google Scholar profile, GitHub repositories, and any published code</li><li>Contact information for 2-3 research references</li></ol>

AI Research Scientist

崗位職責 參與數位積體電路的前端設計開發，包括架構定義、RTL實現、邏輯合成、時序分析等環節。負責模組級/晶片級功能驗證（UVM/Formal驗證等）。協助完成功耗分析、DFT（可測試性設計）及後端協同優化。撰寫設計文件，參與晶片調試及效能測試。崗位要求 碩士及以上學歷，電子工程、微電子、電腦、通訊等相關專業。熟悉數位電路基礎與Verilog/VHDL硬體描述語言。掌握ASIC設計流程（RTL2GDS）及EDA工具（VCS/DC/PT等）。了解AMBA匯流排協議。熟悉Python/Perl/TCL等指令碼語言，有FPGA原型驗證或Tape-out經驗者優先考慮。良好的解決問題能力、溝通能力和團隊合作能力。

數字電路設計工程師

Hong Kong Langting International Limited (香港朗庭國際有限公司) – Hong Kong Science ParkFull-time | Hong Kong (occasional travel to Shenzhen may be required) Job Duties <ul><li> Conduct R&amp;D of AI-driven end-to-end unmanned logistics systems in Hong Kong (warehousing / sorting / transfer / communications integration);</li><li> Optimise AI dynamic scheduling algorithms for HK cross-border logistics;</li><li> Integrate local supply chain systems, customise intelligent WMS &amp; unmanned operation control modules with on-site commissioning;</li><li> Build digital twin simulation platform for order-peak scenarios;</li><li> Participate in IP filings and industry-academia-research collaboration.</li></ul>Minimum Entry Requirements<ul><li> Bachelor's degree in Supply Chain and Logistics, Transport Engineering, Industrial Engineering, Operations Research, Computer Science, Data Science, Information Systems, Automation or related subjects, with at least 3 years of working experience;</li><li> Master's degree in Supply Chain and Logistics, Transport Engineering, Industrial Engineering, Operations Research, Computer Science, Data Science, Information Systems, Automation or related subjects, with at least 1 year of working experience;</li><li> Doctoral degree holder in Supply Chain and Logistics, Transport Engineering, Industrial Engineering, Operations Research, Computer Science, Data Science, Information Systems, Automation or related subjects (working experience is not compulsory);</li><li> HCAI AI certification is preferred. Remuneration HK$35,000 – HK$50,000 per month, with standard fringe benefits (MPF, annual leave and medical insurance) per Hong Kong employment practice. How to apply: Interested parties please send your full resume with expected salary to [HR email].</li></ul>

R&D Engineer of AI Supply Chain Logistics Unmanned Systems

We are seeking highly motivated and talented R&amp;D Optical Engineer to join our company and contribute to the development of next-generation fiber-optic gas analyzers. The successful candidate will lead fundamental research and prototype development on fiber-optic systems based on Raman spectroscopy for trace gas detection. This role is research-intensive and ideal for individuals with strong scientific curiosity, hands-on optical experimentation skills.

R&D Fiber-optic Engineer

RoleDatago turns Chinese and English financial text into structured data products: sentiment scores, named-entity recognition, event classification, used by institutional clients. The team fine-tunes BERT-family encoders on proprietary corpora, maintains rigorous evaluation standards, and builds pipelines around them. As the models are delivered to paying clients, evaluation standards are strict and all results must be auditable.This is a model development role rather than a prompt-engineering position. The work spans training loops, dataset preparation and evaluation design, and the engineer is accountable for the figures the models produce. AI assistants are in the workflow but responsibility for results remains with the engineer.Responsibilities<ol><li>Fine-tune and maintain encoder models (BERT, and more) for classification, NER and sentiment tasks.</li><li>Design evaluation frameworks that reflect client priorities: ranking consistency, correlation against ground truth, and strict point-in-time splits.</li><li>Manage data annotation workflows end to end, including guidelines and quality control.</li><li>Curate large text corpora, covering sampling, cleaning, deduplication and versioning.</li><li>Optimize model serving where required, via ONNX export, quantization and batch inference.</li><li>Maintain experiment records in W&amp;B or an equivalent tool, logging each run's configuration, metrics and artifacts so results can be reproduced and compared.</li><li>Maintain bleeding-edge knowledge in relating areas. </li></ol>Qualifications<ul><li>1-4 years of ML/NLP experience, or a research master's degree with substantive projects, coursework certificates alone are not considered sufficient.</li><li>Hands-on Python and PyTorch proficiency: the candidate should have personally fine-tuned a transformer model and be able to explain the problems encountered and how they were identified.</li><li>The HuggingFace transformers ecosystem, plus fluent pandas/numpy.</li><li>Proficiency with the Linux command line and Git, including running experiments on remote GPUs.</li><li>A critical approach to metrics: an understanding of why accuracy alone can mislead, what data leakage looks like, and why the evaluation split matters.</li><li>Fluent Cantonese, working proficiency in English for documentation and code, ability to process Chinese text in both Traditional and Simplified forms.</li><li>A degree in Computer Science, Mathematics, Statistics, Linguistics or a related discipline, or equivalent demonstrable experience.</li></ul>Preferred Qualifications<ul><li>Finance or fintech domain exposure.</li><li>LLM fine-tuning (LoRA/QLoRA), prompt evaluation, harness-use.</li><li>SQL/ClickHouse.</li></ul>Location of work: Hong Kong Science ParkBenefits<ul><li>Competitive salary</li><li>Annual leave and group medical insurance</li><li>Good team culture</li><li>Assistance to apply for an IANG VISA</li></ul>

Where Talent Meets Opportunity