University of Manchester

Department: National Centre for Inclusive Higher Edu Vacancy ID: 040883 Closing Date: 23-Apr-2026 Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued. We are seeking an administrator to come and join the STEM Passport for Inclusion team. The post  holder will play a key role in providing professional support to the expansion of STEM Passport for Inclusion to community groups (i.e. Youthreach, Community Training Centres and Women’s Collective Ireland). This involves working in partnership with the coordinators of the centres, the Programme Manager, the local community groups, and learners and will require a high degree of professionalism and stakeholder management. This role will provide administrative support to the programme manager’s day-to-day running of the STEM Passport for Inclusion as well as planning events related to the programme. Salary: Administrative Officer II: €46,918 (pro rata) (1 point) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Thursday, 23rd of April 2026. Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system. Late applications will not be accepted. Maynooth University is an equal opportunities employer The position is subject to the Statutes of the University

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.  The Research Engineer will play a key role in automated wildlife identification and classification from trap camera images using cutting-edge computer vision technology. Working closely with the Principal Investigator, Co-PI, and interdisciplinary research team, RE will develop and implement deep learning algorithms to analyze trap camera footage for wildlife monitoring and conservation efforts. Job Responsibilities Participate in and manage the research project together with the PI, Co-PI, and research team to ensure timely achievement of project deliverables. Undertake the following specific responsibilities in the project: Develop, train, and optimise deep learning models for wildlife species identification, classification, and segmentation using real-world datasets. Design and implement software modules to integrate the models into a working system prototype. Perform data annotation. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. Prepare project documentation, technical reports, and academic publications. Collaborate with industry partners and contribute to technology transfer efforts. Support the design of simple web interfaces or dashboards to visualise CV model outputs, working alongside developers when needed. Contribute to system integration by applying familiarity with backend/frontend workflows, ensuring CV models can be accessed through user-facing applications. Assist in deployment of CV solutions on cloud or edge platforms with basic interface support for end-users. The candidate is to liaise and communicate with any internal or external stakeholders to ensure project deliverables are met and to perform any other adhoc duties assigned by Supervisor.  Technical Requirements: Possess strong technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow, Keras) Computer vision models for object detection and classification (e.g., YOLO, R-CNN variants, EfficientNet, ResNet, U-Net) Image processing and computer vision techniques  Python programming and relevant libraries (e.g., OpenCV, NumPy, scikit-learn, Pandas, Matplotlib) Experience with dataset preparation, model training, and performance evaluation Candidates with strong computer vision expertise and proven success in 1-2 substantial CV projects are welcome to apply regardless of domain-specific experience Familiarity with Web/Full-Stack Development: Basic understanding of frontend frameworks (e.g., React, Angular, or Vue.js) Eposure to backend development (e.g., Flask, Django, Node.js) Awareness of RESTful APIs and microservices architecture. General knowledge of database systems (SQL/NoSQL). Experience with cloud platforms (AWS, GCP, Azure) for deployment and scaling Educational Requirements: Hold at least a Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related technical field Master's or PhD degree in Machine Learning, Computer Vision, or related areas will be advantageous Preferred Qualifications: Experience with biological/ecological datasets or wildlife imagery Familiarity with data annotation tools and practices for large-scale datasets Knowledge of model deployment and optimization (e.g., ONNX, TensorRT, model quantization) Experience with edge computing or embedded systems (e.g., NVIDIA Jetson, Raspberry Pi) Background in real-time processing and GPU acceleration (CUDA) Participation in relevant competitions (e.g., Kaggle, computer vision challenges) Experience with version control (Git) and collaborative development practices

Full - time, fixed term opportunity for three years Exciting opportunity to be a Senior Research Fellow with the University of Sydney Base Salary starting at $156,103 + 17% superannuation About the opportunity We are seeking a Senior Research Fellow - Neuroscience Future Leader to establish and grow an independent research profile while contributing to high-impact research within the discipline. The role involves leading innovative research programs, securing competitive funding, and providing leadership that strengthens the university's reputation as a national leader in neuroscience research. Your key responsibilities will be to: build and maintain a reputation for academic excellence through independent and innovative contributions to research, expanding knowledge and practice in the discipline disseminate research knowledge and facilitate knowledge transfer to drive impact maintain a strong research profile, including publication in academic or professional journals and delivering keynote presentations lead successful competitive research grants and generate research income through diverse funding opportunities maintain quality, standards and excellence in research activities and outputs provide mentoring and guidance to lower-level academics make a significant contribution to research, administrative and governance activities, including participation in committees and academic boards contribute to a positive workplace culture in which diversity of thought, collaboration, excellence and achieving outcomes are valued and enabled understand and contribute to furthering the university and faculty or school strategic agenda undertake other duties and contribute to projects appropriate within the classification level as required. capacity to work effectively with the Neurology Department at Concord Repatriation General Hospital, contributing specialist skills in neurology focused research areas such as neurogenomics, neuroimmunology and precision neuroscience. About you PhD and academic qualifications in a relevant field significant experience conducting original research and engaging in scholarly activity significant experience supervising and mentoring others, including supervision of PhD students to completion. an established network of academic, industry and professional partners and stakeholders a national reputation as influential in expanding knowledge within the discipline strong understanding of strategic issues in the higher education sector ability to build and leverage partnerships to enhance the standing of the faculty and university. demonstrated laboratory expertise supporting high quality research, diagnostic investigation and mechanistic discovery. extensive experience working in close collaboration with neurologists and multidisciplinary clinical teams. strong engagement in translational research that bridges laboratory findings with clinical application and patient impact. proven record of securing competitive research funding and providing effective curation and stewardship of grant supported programs. Sponsorship / work rights for Australia Work Rights: you must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment. Pre-employment checks Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment. EEO statement At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds. How to apply Applications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page. For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply. For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Ajaypal Singh, Recruitment Operations by email to ajaypal.singh@sydney.edu.au. © The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Tuesday 14 April 2026 11:59 PM