Universitas Muhammadiyah Yogyakarta

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 primary responsibility of this role is to support and contribute to an industry innovation research project. The Research Engineer will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and segmentation. Key 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: i. Develop, train, and optimise deep learning models for object detection, classification, and segmentation using real-world datasets. ii. Design and implement software modules to integrate the models into a working system prototype. iii. Perform data annotation. iv. Conduct experiments, analyse results, and iterate models for improved accuracy and efficiency. v. Prepare project documentation, technical reports, and academic publications. vi. Collaborate with industry partners and contribute to technology transfer efforts. Job Requirements Possess strong technical knowledge and hands-on experience in: Deep learning frameworks (e.g., PyTorch, TensorFlow) Deep learning models (e.g., YOLO, U-Net, EfficientNet, ResNet, FPN, Fast R-CNN) Computer vision techniques and algorithms Python and relevant libraries (e.g., PyQt, OpenCV, NumPy, scikit-learn), particularly for developing Windows desktop application software incorporating deep learning models Hold at least a Bachelor’s degree in Computer Science, Electrical/Electronic/Software Engineering, or a related field. A Master’s or PhD degree in relevant areas will be advantageous. Familiarity with the following areas is advantageous: Participation in Kaggle competitions, showcasing practical problem-solving and model development skills Model deployment (e.g., ONNX, TensorRT) Edge computing or embedded vision systems (e.g., NVIDIA Jetson Nano) Real-time processing and GPU acceleration Experience working on industry R&D projects Key Competencies Able to build and maintain strong working relationships with team members, stakeholders, and external partners Self-motivated and committed to continuous learning and improvement Proficient in technical writing & presentation, research reporting, and academic publication Possess strong analytical, problem-solving, and critical thinking skills Demonstrate initiative and ownership in carrying out tasks independently

Department: Student Services Vacancy ID: 042203 Closing Date: 21-Jun-2026 The Role 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. The Maynooth University Student Helpdesk is part of the university’s commitment to provision of services to students. The Student Helpdesk is intended to be a central contact point for student queries, with the aim that the helpdesk will respond to routine queries and refer non-routine queries to the appropriate unit within the university. The Helpdesk team works with other units in the University to expand the range of queries that can be managed directly and on an end-to-end basis. The Helpdesk operates using digital channels alongside multiple on-campus helpdesks. In addition to the student-facing service, the Helpdesk is also responsible for and involved with many student focused initiatives. We are seeking an Executive Assistant to join the team on the Student Helpdesk. In this front facing role, the successful candidate will manage student queries, support the Helpdesk team and wider Student Services team, and contribute to the planning and delivery of initiatives and projects as they arise. The Executive Assistant will manage student queries via telephone, email, live chat, and in person, while executing the day-to-day administrative functions of the Student Helpdesk. They will report to the Team Leader and work closely with the Senior Executive Assistant to understand workflow priorities. Candidates should be passionate about working in a student facing role in a dynamic setting. The Executive Assistant must demonstrate confidentiality and discretion in all interactions with students and have experience of completing concurrent tasks, with an excellent attention to detail and accuracy in their output. As the Student Helpdesk Team is part of Student Services, within the Office for Students & Learning, candidates should understand and have empathy with the mission, ethos, and overall approach of Student Services. Applicants should note that it may not be possible to take significant amounts of annual leave at certain critical periods for this post. Salary: Executive Assistant (2026): €32,530 – €48,930 p.a. (13 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Sunday, 21st June 2026 Please note all applications must be made via our Online Recruitment Portal at the following link: https://www.maynoothuniversity.ie/human-resources/vacancies 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

The University of Southampton is a world‑leading, research‑intensive university, recognised globally for excellence, innovation and enterprise. We are seeking an experienced Head of Tax to join our Finance Leadership team at a key point in the University’s strategic and financial development. This is a senior role with responsibility for the tax strategy, governance, compliance and risk management of a large and complex University Group, spanning UK and international activities, subsidiaries, capital projects and commercial ventures. Acting as the University’s principal tax adviser, you will work closely with senior leadership and a wide range of stakeholders to ensure tax matters are managed effectively, transparently and in line with the University’s values and public‑benefit mission. You will lead the development and delivery of the Group’s tax strategy, oversee tax risk and compliance, provide high‑quality advice on complex transactions, and manage relationships with HMRC and external advisers. The role offers significant scope to shape how tax supports the University’s long‑term sustainability and ambitions. We are looking for a senior tax professional with strong technical breadth, sound judgement and the credibility to influence at Executive level. Experience in higher education or the public sector is essential. What we can offer you Working at the University of Southampton gives you access to a wide range of benefits in addition to our competitive rates of pay. Our core benefits include pension scheme membership; a generous annual leave allowance (supplemented by University closure days and public holidays) and excellent family leave arrangements (including maternity, paternity, adoption and parental leave). All our benefits can be viewed here: Benefits Explained website. If you wish to discuss the role in more detail, please email Sally Crabb, Group Financial Controller, sally.crabb@soton.ac.uk for an informal conversation.