Universidad Autónoma de Chile

The Role and the Department A newly created role within the University Finance Team, for a Senior FP&A Manager, responsible for the timely preparation of Budgets and Forecasts at a Consolidated level, covering Income and Expenditure, Balance Sheet and Cashflow Reporting. Prerequisites of the role include forecasting accuracy through robust processes which evaluate and appraise key management information and ensuring data integrity. This position is key to delivering Financial Insight through visual representation and supporting the Universities long term financial ambition of delivering self-serving stakeholder solutions. The role sits within the Financial, Planning and Reporting (FP&R) Team, reporting into the Head of FP&A and working alongside the Reporting Manager and Reporting Analyst, who will provide essential guidance and support to achieve set objectives. Critically, attention will be given to Balance Sheet and Cashflow scenario planning through sensitivity drivers to mitigate financial risk. Other duties will include the execution of improved financial processes, management of the FP&R Calendar and associated tasks with targeted deadlines, analytical solutions, standardising university wide financial templates and stakeholder engagement. This is a role that will realise financial creativity through enhanced financial insight to aid decision making. The Senior FP&A Manager is a collaborative role with touch points across all Finance disciplines; the role is challenging yet rewarding and an opportunity to create best in practice financial solutions. Culturally, the Finance team benefits from a hybrid working model (40% office based per week) with flexible working arrangements that promotes employee well-being and work life balance in a centre for excellence. The base location for this role is Boldon House, our exciting professional services hub. Boldon House is situated on the outskirts of Durham near the Arnison Centre in Pity Me. Boldon House brings together a range of professional service teams together in a modern, vibrant office environment. To find out more, visit the project webpage:. Further information about the role and the responsibilities is at the bottom of this job description.

Based in the Speciality Facilities and Technical Services – Health function in the College of Health portfolio at the City East campus location Part-time (0.4FTE), continuing position Supporting Tuesday and Wednesday 9am – 5pm roster At Adelaide University, we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive. We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters Our dedicated campus facilities, laboratories, simulated environments and community clinics are applied spaces for practical learning and research transformation. This position is responsible for preparing the dental simulation clinic for learning and teaching activities and providing support to academic staff and students. Within the clinic, you will ensure effective, safe and hygienic laboratory practices, as well as monitoring, assisting and providing technical support with the use of equipment. Curious to learn more? Explore the role description available on our website to discover more about this opportunity. The team Reporting to the Senior Laboratory Teaching Support Officer, the Laboratory Teaching Support Officers work closely together to prepare the clinic for simulation classes designed for users to acquire and develop skills and knowledge required for dental practice within the Schools’ undergraduate, postgraduate and continuing professional development programs. Visit the AU website to learn more about School of Dentistry. Our people Our people are guided by purpose, curiosity and a commitment to lifelong learning. We embrace authenticity, innovation and collaboration, and harness diverse thinking in our pursuit of excellence. You will experience a range of tasks and interactions, keeping your workday interesting and engaging. Our school’s highly experienced teaching staff will create a supportive and collegial learning environment, ensuring students enjoy a positive and rewarding study experience at our state-of-the-art Dental Simulation Clinic. Learn more about our people, what we stand for and what we offer at Careers at AU. Experience To join our community and thrive in this role, you will likely have the following skills and experience:  Experience in a clinic or laboratory environment, preferably in a teaching or research setting Experience in infection control and sterilisation of laboratory tools and equipment Experience using specialised laboratory equipment, particularly in health or dental practice Proven ability to manage competing demands and prioritise tasks effectively Proven communication and problem-solving skills, with experience liaising with a range of stakeholders Our commitment to inclusion and diversity We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process. Launch your future with Adelaide University now Applying is simple. Simply click on the Apply Now button and upload:  your current CV  a cover letter that tells us why you’re excited about the role  and a response to the following question (max 500 words): Please share your background and knowledge of working in a dental simulation environment. Please refer to the online application form at the Adelaide University website. Submit your application by 11:30pm Wednesday 13 May 2026 For further information about this opportunity, please contact (quoting reference number 492807): Emma Kelvin Talent Attraction Adviser +61 8 8302 0482 | careers.adelaideuniversity@adelaide.edu.au Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment.

Job Purpose: The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to develop a Multimodal AI for Fire Detection & Safety Systems. Key Responsibilities:  Participate in and manage the research project with Principal Investigator (PI), Collaborator and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Develop and deploy multimodal AI algorithms for fire, smoke, and hot-work detection by fusing optical, thermal/infrared, LiDAR, RADAR, and gas sensor data under varying environmental conditions. Design computer vision and human-behavior analysis models for detecting personnel, posture, casualties, and hazardous situations, including operation in low-visibility scenarios. Implement scene mapping, environment perception, and path-planning algorithms using LiDAR and RADAR data to support evacuation guidance and first-responder navigation. Build real-time predictive models for fire intensity and spread forecasting and integrate LLM-based scene description and decision support into an end-to-end deployable system. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements Bachelor’s degree (minimum) in Electrical / Electronics Engineering, Computer Engineering, Computer Science, Robotics, or a closely related discipline, with foundational knowledge in signal processing and machine learning. Working knowledge of computer vision and deep learning concepts, including object detection and image-based classification, with hands-on experience using Python and at least one deep learning framework (e.g., PyTorch or TensorFlow). Basic experience handling and processing sensor data (e.g., camera, thermal, LiDAR, RADAR, or similar perception sensors) in real-world or laboratory settings. Familiarity with Linux-based development environments and standard software tools for data analysis, model training, and evaluation. Ability to independently implement, test, and document applied research solutions, with prior experience through projects, internships, or research assistantships considered sufficient. Prior experience in publishing is desirable.