École Supérieure en Sciences et Technologies de l’Informatique et du Numérique (ESTIN)

The successful candidate will provide administrative and operational support for the financial administration of externally funded research grants across both pre award and post award stages of the research lifecycle. They will assist the Research Grants Supervisor / Manager with the costing, preparation, and submission of research funding applications, ensuring required financial information is entered accurately into relevant systems and templates. In addition they will support with the set up of new research projects on university finance and research systems, ensuring that records are complete, accurate, and supported by appropriate documentation. About the person: The successful candidate will have: 5 GCSE’s (including Mathematics and English). Strong experience in using spreadsheets for data analysis, including extracting data, performing reconciliations, and ensuring accuracy across datasets. Experience working with large, integrated finance or research management systems, with confidence navigating and updating digital records. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information on our website. What we offer: Beyond a competitive salary, the University offers an attractive benefits package including a holiday entitlement of up to 8.4 weeks a year, pension schemes and development opportunities. We support staff wellbeing with flexible working options, work-life balance initiatives and support for physical and mental health. You can find more detail on all of this and more on our website. Queen's University is committed to promoting equality of opportunity to all. We subscribe to Equality Charter Marks such as the Diversity Charter Mark NI and Athena Swan and have established staff networks such as iRise (Black, Asian, Minority Ethnic and International Staff Network) and PRISM (LGBTQ+) which help us progress equality. For further information on our commitment to Equality, Diversity and Inclusion, please visit our website. If you are an international applicant and don't already hold a visa that permits you to take up the role you are applying for, please use the information provided on our website to self-assess whether the University is likely to be able to support a visa application.

As one of Europe’s leading research universities, Ludwig-Maximilians-Universität (LMU) in Munich is committed to the highest international standards of excellence in research and teaching. Building on its more than 500-year-long tradition, it offers a broad spectrum that covers all areas of knowledge within its 18 Faculties, ranging from the humanities, law, economics and social sciences, to medicine and the natural sciences. The Faculty of Languages and Literatures invites applications for a Professorship (W2) (6 years/tenure track)  of Comparative Literature and Literary Theory commencing as soon as possible. The applicant’s work in the field of Comparative Literature must be indicative of philological expertise in at least two different languages. Research interests in literary theory and/or aesthetics as well as literary multilingualism are required. A focus on English-language literature is also desirable. LMU Munich seeks to appoint a highly qualified junior academic to this professorship and, therefore, especially encourages early-career scholars to apply. Prerequisites for this position are a university degree and a doctoral degree or a comparable specific qualification, preferably in Comparative Literature. With an excellent record in research and teaching to date, prospective candidates will have demonstrated the potential for an outstanding academic career. The initial appointment will be for six years. After a minimum of three years, it can be converted into a permanent position pending a positive evaluation of the candidate’s performance in research and teaching as well as his or her personal aptitude and if all legal conditions are met. Under the terms of the LMU Academic Career Program“, in exceptional cases and subject to outstanding performance in research and teaching, the position may be converted from a W2 into a W3 Full Professorship at a later date. LMU Munich makes a point of providing newly appointed professors with various types of support, such as welcoming services and assistance for dual career couples. LMU Munich is an equal opportunity employer. The University continues to be very successful in increasing the number of female faculty members and strongly encourages applications from female candidates. LMU Munich intends to enhance the diversity of its faculty members. Furthermore, disabled candidates with essentially equal qualifications will be given preference. Please submit your application comprising a curriculum vitae, documentation of academic degrees and certificates as well as a list of publications and teaching to the Dean of the Faculty of Languages and Literatures, Ludwig-Maximilians-Universität München (Geschwister-Scholl-Platz 1, D-80539 Munich, Germany), preferably via email in one single PDF-file to dekanat13@lmu.de, no later than 28 April 2026.

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.