Allama Iqbal Open University

Ref.: 534633 Work type: Full-time Department: Centre for Quantitative History (07008) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointments as Post-doctoral Fellow at the Centre for Quantitative History (CQH) of the Faculty of Business and Economics (several posts) (Ref.: 534633) to commence as soon as possible on one-year temporary terms or two-year fixed terms, with the possibility of renewal subject to satisfactory performance. About the Centre for Quantitative History (CQH) The Centre for Quantitative History (CQH) is a focal institution studying economic, financial, and social history in a quantitative fashion, hosted at the HKU Business School in collaboration with the Hong Kong Institute for the Humanities and Social Sciences. The Centre was founded as an Area of Excellence designated and funded by the Research Grants Council of the University Grants Committee of Hong Kong. More information about the Centre can be found at www.cqh.hku.hk. The Role The appointees will primarily work with the Principal Investigators on the study of China’s economic, financial, social, and other histories, oriented toward academic journal publications. They will lead a few Research Assistants and actively contribute to various activities of the Centre. The responsibilities of this role include moderating research seminars, overseeing the Centre’s publications, and coordinating its seminars and biennial conferences. They are expected to engage in the academic life of the Centre by regularly attending readings, lectures, presentations, and other campus activities. Qualifications and Qualities Applicants should possess Ph.D. degree in Economics, Finance, History, or a closely related field in the recent three years (or will complete the Ph.D. degree before 2026 Summer). They should have a well-demonstrated interest in quantitative history research, and excellent communication skills in Chinese and English for both writing and oral presentation. What We Offer We provide a dynamic work environment focused on innovation, offering the opportunity to collaborate on and publish impactful data projects. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The appointment on two-year fixed terms will attract a contract-end gratuity and University contribution to a retirement benefits scheme totaling up to 10% of the basic salary during the total contract period. How to Apply The University only accepts online applications for the above posts. Applicants should apply online at the University’s careers site (https://jobs.hku.hk) and upload the following documents:   a cover letter; an up-to-date C.V.; an official Ph.D. certificate (if available) and/or transcripts; a writing sample (Ph.D. dissertation or a working paper); a research proposal of max five A4 pages; and the name and contact information of two academic referees (we will reach out to your referees for a recommendation once you are shortlisted). Review of applications will start as soon as possible and continue until August 31, 2026, or until the posts are filled, whichever is earlier. Shortlisted candidates will be invited to attend an interview. Once selected, the University would offer assistance in obtaining a work permit in Hong Kong. Enquiries about the posts should be sent to cqhmail@hku.hk.

Location: SIT Punggol Campus Job Type: Contract Experience Level: 3+ years relevant experience (preferred) About Us: Autonomous Systems Advanced Intelligence Laboratory (ASAIL) is at the forefront of developing next-generation unmanned aerial capabilities for the public safety sector. We are bridging the gap between commercial drone hardware and the demanding requirements of law enforcement and security operations. Our mission is to enhance the safety and effectiveness of personnel through intelligent, resilient, and autonomous aerial systems. We are currently seeking a highly motivated Research Engineer to lead the applied research and development of advanced control augmentation techniques for Commercial Off-The-Shelf (COTS) drones. This role focuses on pushing the limits of COTS hardware by integrating sophisticated software and edge computing solutions. The Role: As our Research Engineer, you will be responsible for the end-to-end development of augmentation software, from theoretical design and simulation to real-world proof-of-concept demonstrations. You will work on a portfolio of critical enhancements, including advanced navigation algorithms, swarm intelligence, cyber security hardening, and payload-specific control systems. Key Responsibilities: Control Augmentation Development: Design, implement, and tune advanced control augmentation techniques (e.g., model predictive control, adaptive control) to enhance the stability and agility of COTS drones under dynamic conditions. Swarm Intelligence: Develop and test decentralized swarm algorithms for coordinated area search, target tracking, and collaborative task allocation without reliance on constant ground control intervention. Cyber Security Enhancement: Research and implement mitigation strategies against common attack vectors on COTS platforms, including GPS spoofing, communication jamming, and protocol vulnerabilities. Develop hardened communication layers between the drone, edge device, and ground station. Payload-Specific Control: Integrate and tune control systems for mission-specific payloads (e.g., gimbaled cameras, spotlights, delivery mechanisms) to ensure stable operation and precise control during flight. Edge Computing Implementation: Architect and deploy machine learning and computer vision models directly onto onboard edge devices (e.g., NVIDIA Jetson) for real-time object detection, tracking, and autonomous decision-making. Proof-of-Concept Demonstration: Lead the integration of software onto physical drone platforms, conduct rigorous flight testing, and execute live demonstrations to validate performance against operational requirements. Documentation & Dissemination: Document research findings, software architectures, and test results. Prepare reports and presentations for internal and external stakeholders. Required Qualifications & Expertise: Education: Honor’s degree (Master’s and Ph.D. preferred) in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, or a related field. Control Theory: Strong theoretical and practical background in control systems, including PID, LQR, MPC, or adaptive control. Robotics Software: Extensive experience with the Robot Operating System (ROS/ROS 2). Programming: High proficiency in C++ and Python for real-time robotic applications. Simulation: Experience with realistic simulation environments such as Gazebo, AirSim, or Unreal Engine. Edge Computing: Proven experience deploying algorithms on resource-constrained edge devices for real-time inference and control. Drone Platforms: Hands-on experience with commercial autopilots (PX4, ArduPilot) and integrating software with COTS frames (DJI, Holybro, etc.) via companion computers. Swarm Robotics: Familiarity with consensus algorithms, formation control, and communication protocols for multi-agent systems. Security: Understanding of wireless communication protocols (Wi-Fi, 4G/5G, MAVLink) and common cybersecurity vulnerabilities in drone systems. Preferred Skills (Bonus): Experience in law enforcement, defense, or public safety technology projects. Knowledge of computer vision techniques for object detection and tracking (YOLO, OpenCV). Experience with RF signal analysis or spectrum monitoring.

The Health and Social Sciences Cluster at SIT has been at the forefront of allied health education and research, offering a suite of allied health programmes and two nursing programmes. As a young university, we foster an academic environment that seamlessly integrates teaching, applied research and clinical practice. We offer competitive remuneration, generous employment benefits, access to funding to undertake clinical research, and opportunities to inspire and nurture the next generation of skilled allied health and nursing professionals. About the Positions We currently have positions available from Assistant Professor to Full Professor, for the following disciplines: Diagnostic Radiography Dietetics Nursing Occupational Therapy Physiotherapy Speech and Language Therapy Applicants should meet all the criteria below: (a) an earned PhD in the respective healthcare discipline from a reputable university; (b) excellent research track record; (c) deep clinical experience in the respective healthcare discipline. We will prioritise collegial and team-spirited candidates with an earned PhD in a related discipline from a reputable university, plus relevant work experience or experience of industry-linked applied research projects. Applications will be accepted until the positions are filled. All applications must be submitted electronically via the "Apply Now" button below.