Bengaluru City University

An exciting opportunity has arisen within the Operations department at Surrey Sports Park for a full- time Recreation Assistant. We are looking for a proactive, self-motivated and highly organised individual to join our friendly and busy team. The role is active and varied and you will be responsible for supporting the day-to-day operations of the centre. General responsibilities will include cleaning, maintenance, set up, maintaining, and dismantling of equipment for preparation of areas and sessions as appropriate. Providing poolside supervision, including making water-based rescues and ensuring activities can be carried out safely, effectively and within a prescribed timescale. This role will include working on a rota of an average of 40 hours per week including weekends, early mornings and evening shifts. About you If you hold excellent customer service skills, are passionate about sport and fitness, and enjoy working as part of a team please apply. An RLSS National Pool Lifeguard Qualification (NPLQ) is essential for this role, but training and funding will be provided for candidates who pass the swim test and interview. About Us Surrey Sports Park is at the heart of sport and physical activity in Surrey, and our mission is to deliver the best possible sport, health and wellbeing experience to our University of Surrey students and to the wider SSP community. We provide strategic added value to the University by delivering an outstanding student experience through social and competitive sport and providing an excellent environment for wellness and fitness for Surrey staff and students, and our community impact is significant both culturally and physically. In addition to salary, we provide: Free full access membership at Surrey Sports Park, and discounted for family and friends Generous annual leave entitlement of 33 days holiday Varied and supportive work environment Employee Assistance Programme – via BHSF RISE Generous pension (employers’ contribution up to 12%)  How to apply Please complete our online application form by clicking the "apply online" button. The supporting statement section should set out how your qualifications, experience and training meet each of the selection criteria. Please provide one or more paragraphs addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will mean that the application will not be considered. An answer to any of the criteria such as "please see attached CV" will not be considered acceptable. Further details Job Description

Based at Australian Institute Machine Learning (AMIL), City East Campus Full-time, fixed term contract 3 years Salary Range: $102,024 - $109,307 per annum (plus 17% superannuation) 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 Join a funded research project at the forefront of Large Vision-Language Models (LVLMs), developing innovative evaluation tools and training methods to enhance complex reasoning, decision-making, and adaptability in next-generation AI systems. Your work will address critical limitations in current AI approaches and contribute to impactful, real-world solutions across sectors such as healthcare, business, and education, while strengthening Australia’s leadership in AI. Curious to learn more? Explore the position description/selection criteria above to discover more about this opportunity. The team Reporting to Associate Professor Qi Wu, this role sits within the Australian Institute for Machine Learning (AIML). You will work alongside experts in machine learning, computer vision, and natural language processing, contributing to cutting-edge research and partnering with academic and industry stakeholders to deliver innovative, high-impact outcomes. Established in 2018 and based at Lot Fourteen in Adelaide, AIML is globally recognised for research excellence and real‑world impact, collaborating with leading industry and government partners to apply cutting‑edge discoveries to challenges in sectors such as defence, space, healthcare, infrastructure and agritech. Visit the AU website to learn more about the Australian Institute for Machine Learning. 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. This role is ideal for someone who thrives in a fast-paced, research-intensive environment. You will engage with a diverse network of collaborators across disciplines, contributing to innovative projects that push the boundaries of AI while maintaining strong connections to practical applications. 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: PhD in machine learning, AI, computer science or related field Programming experience in Python, C++ or other relevant language and experience in deep neural networks (Pytorch, tensorflow). Experience and demonstrable expert knowledge in one or more or the following areas: deep learning; graph neural networks and/or probabilistic graphical models; computer vision; Large Language Models. A good publication record in top tier machine learning and/or computer vision conferences or journals, commensurate with experience and opportunity. A strong work ethic, and the ability to work well independently, and as a member of a broader team 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 The online application form will list the specific selection criteria that you need to address. Submit your application by 11:30pm Thursday 23 April 2026 The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified. For further information about this opportunity, please contact (quoting reference number 492783): Simone Patterson Talent Acquisition Officer +61 8 8302 1700| careers.adelaideuniversity@adelaide.edu.au 

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.  Job Details This Research Engineer will contribute to an international joint project related to policy-making in urban planning and design, focusing on developing a Multi-Criteria Decision-Making (MCDM) framework and tool. The work will involve integrating results from GeoTOPSIS and/or VectorMCDA in QGIS, enhancing spatial decision support for blue–green infrastructure and ecosystem service evaluation. The Research Engineer will lead the software development and interface programming, working closely with the GIS Research Fellow and interdisciplinary project team members to create a user-friendly, scalable decision-support tool for planners and policymakers. As part of understanding the ecosystem services that are involved in Singapore, the successful candidate will also be expected to perform some field-based data collection during the duration of the project. Key Responsibilities Work closely with the PI, Co-PI, and research team to ensure timely completion of all project deliverables. Implement and enhance GeoTOPSIS/VectorMCDA algorithms within QGIS using Python or equivalent programming frameworks. Develop a user-friendly interface (QGIS plugin or web-based application) for decision-making and data visualization. Collaborate with the GIS Research Fellow to integrate ecosystem service layers and model outputs. Conduct tool testing, validation, and iterative refinement based on stakeholder feedback. Manage documentation, data pipelines, and version control. Support system deployment on a secure project server and ensure cross-platform interoperability. Assist in project management and support the team in facilitating and organizing workshops, stakeholder sessions, and policy dialogues. Be involved in regular field work data collection and to perform environmental and biodiversity surveys (fish, birds and insects) as part of a research team. To communicate in any relevant internal or external stakeholders to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor. Job Requirements Master’s degree in Computer Science, Software Engineering, Geomatics, Environmental Informatics, or related fields. Strong programming skills in Python, R, or JavaScript for spatial analysis, interface development, or web applications. Experience in plugin or dashboard development (e.g., PyQGIS, Dash, Streamlit, or web-GIS frameworks). Familiarity with GIS concepts and geospatial data structures; experience with QGIS or ArcGIS will be an advantage. Ability to translate analytical models into intuitive, interactive user interfaces. Good teamwork, documentation, and problem-solving skills. Self-motivated and able to learn new tools and frameworks independently. Additional Note: While prior experience with GeoTOPSIS/VectorMCDA is not mandatory, it will be considered a strong advantage. On-the-job training will be provided to equip the candidate with necessary methods and integration workflows with ecosystem service models and spatial datasets. Key Competencies Strong programming skills (Python/R/JavaScript) for tool and interface development. Ability to implement or learn GeoTOPSIS/VectorMCDA methods in GIS environments. Good teamwork and communication skills for collaboration with the project team. Strong problem-solving ability, adaptability, and willingness to learn new tools. Good organizational and documentation skills; familiarity with GIS is a plus.