Universidad Autónoma de Ciudad Juárez

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 University of Surrey is a global community of ideas and people, dedicated to life-changing education and research. We are ambitious and have a bold vision of what we want to achieve - shaping ourselves into one of the best universities in the world, which we are achieving through the talents and endeavour of every employee. Our culture empowers people to achieve this aim and to collectively, and individually, make a real difference. The role We are seeking an outstanding Clinical Research Training Fellow to help spearhead the development and clinical testing of a novel non-invasive brain stimulation sleep therapy for Alzheimer’s disease. The project is funded by the Medical Research Council and will be conducted at the UK Dementia Research Institute Centres at the University of Surrey and Imperial College London  The successful applicant will, together with other team members, be responsible for recruiting individuals with early-stage Alzheimer’s disease to the study and for administering non-invasive brain stimulation (phase-locked TI electric fields and audio), electroencephalography (EEG), and cognitive paradigms during wakefulness and sleep. The successful applicant will also work alongside other team members to examine patients’ responses by analysing EEG and behavioural data.  Candidates are expected to hold a medical qualification (MBBS or equivalent) and be fully registered with the GMC, have experience working with patients with mild cognitive impairment (MCI) or dementia, and have knowledge of research methods and statistical procedures The successful applicant will be clinically mentored by Chris Butler (the project’s clinical lead) and will be an active member in Derk-Jan Dijk's (University of Surrey) and Nir Grossman's (Imperial College) research groups. You will be expected to collaborate closely with researchers across the groups at Imperial College London, the University of Surrey, King’s University, and with the broader worldwide network of collaborators.  About you Crucial skills include prior experience working with patients, particularly those with dementia or other cognitive disorders. Desirable skills include experience in assessing cognitive function using standardised and experimental tasks, conducting non-invasive brain stimulation and/or EEG recording procedures, and analysing EEG data. However, the role involves substantial training, including the opportunity to enrol in a PhD program, to bring the clinical fellow to the highest level of competence in those research approaches.  How to apply For more information and informal discussions, please contact Prof Dijk (d.j.dijk@surrey.ac.uk; 01483 689341) Please apply on the University website with your CV with a list of publications and presentations and cover letter detailing why you are interested in this job also answering the criteria questions.  Further details Job Description

With over 85 years of rich heritage, The Hong Kong Polytechnic University (PolyU) has evolved alongside society and made pivotal contributions to the development of Hong Kong, the Nation and the world. The University pursues world-class excellence in education, research and knowledge transfer to nurture socially responsible professionals and leaders, as well as to drive impactful research and innovation. PolyU will strive to continually excel as an innovative world-class university that makes a positive impact on society, living up to the University’s motto: “To learn and to apply, for the benefit of mankind”. Ranked among the top 100 universities globally by well-known ranking organisations such as Quacquarelli Symonds (QS), Times Higher Education (THE) and U.S. News & World Report, PolyU offers a wide range of world-class educational and research programmes in seven faculties and three independent schools. PolyU has furthermore achieved commendable results in the QS World University Rankings by Subject 2025 – it is ranked in the global top 30 for seven subjects, is first in Hong Kong for three subjects, and is in the global top 100 for 26 subjects. For further details about the University, please visit PolyU’s website at https://www.polyu.edu.hk/. DEPARTMENT OF INDUSTRIAL AND SYSTEMS ENGINEERING Research Assistant Professor in Smart Manufacturing (Ref. 260304008) The Department of Industrial and Systems Engineering offers a wide scope of multi-disciplinary undergraduate and postgraduate programmes and actively engages in various applied research and consultancy work with the community. Please visit the website at http://www.polyu.edu.hk/ise for more information about the unit. Duties The appointee will be required to: (a) conduct research that leads to publication in top-tier refereed journals; (b) pursue actively external research grants, such as General Research Fund, as Principal Investigator; (c) provide quality teaching at undergraduate or postgraduate level; (d) contribute to departmental service; and (e) perform any other duties as assigned by the Head of Unit or his/her delegates. Qualifications Applicants should: (a) have a PhD degree in a related discipline; (b) preferably have at least two years of postdoctoral research experience; (c) have demonstrated promise of a high level of creative ability in research and teaching in some subdivisions of his/her field; (d) be able to demonstrate effective classroom teaching skills; and (e) be a good team player and have excellent communication skills and the ability to use English as the medium of instruction. Conditions of Service A highly competitive package including a medical benefits plan and a gratuity payable upon completion of the term which is normally for two to three years initially, with possibility of extension. Application Please submit an application through PolyU’s career website https://jobs.polyu.edu.hk/rap. Consideration of applications will commence on 18 March 2026 until the position is filled. The University’s Personal Information Collection Statement for recruitment can be found at https://www.polyu.edu.hk/hro/careers/pics_for_recruitment/. PolyU is an equal opportunity employer, dedicated to fostering an environment that embraces diversity and demonstrates inclusion of people from all backgrounds, cultures, identities and experiences where all members of the University are treated with fairness, dignity and respect. To learn more about the University’s “Statement on Equal Opportunities, Diversity, and Inclusion”, please visit our website at https://www.polyu.edu.hk/hro/equal_opportunities_diversity_and_inclusion/.