CNRS

Department: IT Services Vacancy ID: 040024 Closing Date: 15-Mar-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. Maynooth University wishes to appoint an IT Analyst on a full‑time, permanent basis at Administrative Officer II grade. The post will report to the Business Systems Manager within the Enterprise Solutions area of IT Services and will form part of the Information Systems Team. The IT Analyst will act as a technical lead responsible for maintaining the quality, enhancement, and continuity of support for the University’s critical Human Resources and Financial business systems. Working within the Information Systems Team and alongside other specialist roles across IT Services, the post‑holder will support core business processes and contribute to the continuous development and improvement of associated services. Salary: Administrative Officer II: €46,418– €65,806 p.a. (9 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Sunday, the 15th of March 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

Department: Computer Science Vacancy ID: 040023 Closing Date: 26-Feb-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. A research team at the Computer Science Department wishes to recruit an Electronics Technician on a half-time basis to work with them on a commercialization project for a local company. The duration of the role will be 3 months. Salary: €47,119 per annum Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Wednesday, 26th of February 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

Ref.: 534478 Work type: Full-time Department: Department of Orthopaedics and Traumatology, School of Clinical Medicine (21000) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff Applications are invited for appointment as Post-doctoral Fellow/Senior Research Assistant in the Department of Orthopaedics and Traumatology, School of Clinical Medicine (Ref.: 534478), to commence as soon as possible for one to three year(s), with the possibility of renewal subject to satisfactory performance. Research Context & Project Background The Department of Orthopaedics and Traumatology, School of Clinical Medicine, is seeking a highly motivated and talented researcher to join our multidisciplinary team specializing in medical imaging and algorithm development. Our work focuses on advancing the use of computer vision, deep learning, and machine learning for analyzing medical imaging modalities such as CT, MRI, X-ray, and ultrasound. Research areas include image segmentation, detection, classification, keypoint recognition, image registration, and image synthesis, with the goal of improving diagnostic and therapeutic outcomes. The successful candidate will leverage the unique clinical resources of the Greater Bay Area and the advanced research facilities at the University to develop innovative treatments. Duties and Responsibilities Conduct research on medical image processing algorithms based on computer vision, deep learning and machine learning. Medical imaging modalities cover including but not limited to CT, MRI, X-ray and ultrasound images. Research tasks cover including but not limited to image segmentation, detection, classification, keypoint recognition, image registration, image synthesis, etc. Lead independent research projects and collaborate with partner medical institutions to complete the development, evaluation, translation, integration, deployment and other workflows of medical imaging-related algorithms. Deliver research outputs and achievements, including but not limited to drafting and filing patents, writing and publishing academic papers, and composing research grant proposals. Requirements Applicants with a Master’s degree in Computer Vision, Deep Learning, Computer Science, Image Processing, Biomedical Engineering, or related fields will be considered for the position of Senior Research Assistant. Applicants with a PhD degree in the above-mentioned areas are eligible to apply for the position of Post-doctoral Fellow.  Applicants should possess minimum 3 years of research experience in image processing algorithms, with a solid foundation in computer vision algorithms. Preference will be given to those familiar with the principles of various medical imaging technologies, and possess extensive experience in developing deep learning algorithms Excellent programming skills (e.g., proficiency in Python, PyTorch, OpenCV) and experience in deep learning model optimization and familiarity with AI model deployment are required. Candidates with experience in quantitative CT algorithms, orthopedic imaging algorithms or other related fields are prioritized. Candidates with publications as first author in high-impact journals (medical or AI domains) or top-tier AI conferences are prioritized. Remuneration and Benefits A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.  Application procedure The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until 31 May 2026, or until the post is filled, whichever is earlier. Enquiries about the duties of the post should be sent to Dr. Aaron D.S. Lau (aaronlau@connect.hku.hk).