Adana Alparslan Türkeş Science and Technology University

Ref.: 534618 Work type: Full-time Department: Department of Physics (25600) Categories: Senior Research Staff & Post-doctoral Fellow Post-doctoral Fellow in High-Energy Astrophysics in the Department of Physics Applications are invited for appointment as Post-doctoral Fellow in High-Energy Astrophysics in the Department of Physics (Ref.: 534618), to commence as soon as possible for two years, with the possibility of renewal subject to funding availability and satisfactory performance. Applicants should possess a Ph.D. degree in Physics or Astronomy. The appointee will work with Prof. Stephen C.Y. Ng to pursue research in areas related to neutron stars, pulsar wind nebulae, or supernova remnants. Applicants with experience analysing radio interferometer data are especially encouraged to apply. A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits, and free access to on-campus gyms and libraries. At current rates, salaries tax does not exceed 15% of gross income. The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. (including a publication list), a cover letter, and a research statement. Applicants should also arrange three reference letters to be sent to Prof. Stephen Ng by e-mail (stephen_ng@hku.hk) directly. Review of applications will start as soon as possible and continue until April 15, 2026, or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

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.

Beijing Normal-Hong Kong Baptist University (BNBU) now invites candidates for this position which is expected to be filled in September 2026: Job Description: Design, develop and deliver high-quality, interactive Portuguese language courses (e.g., Portuguese I, II, III; Lusophone Culture). Develop engaging teaching materials, syllabi, and assessment tools aligned with the Common European Framework of Reference for Languages (CEFR). Foster a student-centered learning environment that enhances students' linguistic proficiency and intercultural communication skills. Provide academic guidance and support to students, including organizing extracurricular language activities (e.g., conversation clubs, cultural workshops). Participate in departmental meetings, committee work, and quality assurance activities. Job Requirement: The candidate should have a Master degree or above from a recognized university in the following fields: Portuguese, Lusophone studies, literature, linguistics, cultural studies, etc.; Proficiency in Portuguese and English is required. Minimum of three years of relative teaching experience in higher education. Proficiency in office software. Portuguese native speakers are strongly preferred. Excellence in undergraduate or postgraduate teaching. Strong ability in developing and coordinating the CFL curriculum and general education curriculum offered by School of General Education. Benefits and Appointment Terms Commencing salaries will be commensurate with qualifications and relevant experience. Fringe benefits include housing allowance, leave and social insurance. Appointments to these positions will initially be made on a fixed-term contract with mutual agreement. Closing Date: Open until filled Application Procedures Please complete the job application form and upload the requested documents online: https://hrapp.bnbu.edu.cn/recruit/job/vacancy/JobDetail/1209. If you failed to submit your application online, please send your application by emailing to recruit@bnbu.edu.cn. Applications should include a curriculum vitae and a completed "Job Application Form" which can be downloaded from https://hro.bnbu.edu.cn/Job_Opportunities_/Application_Procedure.htm. Please indicate the position being applied for, including the field of expertise, level and reference number. The University reserves the right not to fill these positions, or to extend the search until suitable candidates are identified or to make an appointment by invitation. We are an equal opportunity employer committed to creating a diverse environment