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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.: 534315 Work type: Full-time Department: Department of Mechanical Engineering (14500) Categories: Professoriate Staff Applications are invited for appointments as Professor (several posts) in the Department of Mechanical Engineering (Ref.: 534315), to commence as soon as possible, on a three-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract. Exceptionally outstanding candidates may be considered for appointment as tenured Full Professor and conferment of Chair Professor title. The Department of Mechanical Engineering at the University of Hong Kong offers B.Eng., M.Sc., M.Phil., and Ph.D. programmes within one of the region’s most highly ranked engineering schools. With around 35 dedicated full-time faculty members and state-of-the-art teaching and research facilities, the Department provides an inspiring environment where innovation thrives. Frontier research efforts are promoted and conducted in strategic areas. Information about the Department can be obtained at http://www.mech.hku.hk. We welcome candidates from the following areas of Mechanical Engineering: Aeronautics /Space Robotics/Autonomous Vehicles Advanced Manufacturing (Semi-conductor, Energy, Materials) Applicants should possess a Ph.D. degree in Mechanical Engineering or a related engineering field. They should have a distinguished and sustained record of high-quality, impactful research, as indicated by publications and competitive grants, along with proven excellence in knowledge exchange. Candidates should also have achieved international recognition for their scholarly and professional expertise. In addition, applicants should demonstrate a strong commitment to, and evidence of, excellence in teaching, curriculum development, capacity building, mentoring early-career researchers and supervision at both undergraduate and postgraduate levels. Preference will be given to those with demonstrated administrative leadership in universities. The appointees are expected to lead cutting-edge research that result in technology breakthroughs in the relevant research area. They should play an active role in formulating strategic direction for the Department. They will also be responsible for delivering high-quality teaching in relevant subjects at both undergraduate and postgraduate levels in addition to the engagement in knowledge transfer activities and provision of administrative service to the University/Faculty/Department. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. Housing benefits will be provided as applicable. A start-up package tailored to the appointee’s experience and research needs will be provided. The University only accepts online application for the above post. Applicants should apply online at the University’s careers site (https://jobs.hku.hk) and upload a cover letter, an up-to-date C.V. with a detailed publication list, a teaching statement, a research statement and the contact information of at least three referees. Review of applications will start as soon as possible and continue until June 30, 2026, or until the post is filled, whichever is earlier. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

Scope of Position: Duke-NUS Medical School invites applications for a full-time Assistant/Associate Professor in AI for Medical Education within the Office of Education. This innovative role will apply Artificial Intelligence technologies and approaches to support and enhance educational delivery, assessment, and learning experiences, while also contributing to curriculum development that prepares future physicians to practice effectively in an AI-enhanced healthcare environment. Working in close partnership with MD curriculum leadership, teams, faculty, administrators, and students, the successful applicant will co-lead and support initiatives to develop and integrate AI-powered educational tools across our MD curriculum, conduct research on AI applications in medical education, and design and deliver an AI literacy curriculum. This position represents a unique opportunity to shape the future of medical education at the intersection of technology and healthcare. The successful applicant will be eligible for faculty appointment at the Assistant Professor or Associate Professor level at Duke-NUS; rank will be commensurate with experience, achievement and recognition. The postholder will collaborate with clinician educators and scientists across all health professions and disciplines in the SingHealth Duke-NUS Academic Medical Centre. Roles and Responsibilities: Partner with curriculum teams to design, implement, and evaluate AI-powered educational tools such as intelligent tutoring systems, adaptive learning platforms, virtual patient simulations, etc Develop AI applications for personalized learning experiences that respond to individual student needs and learning patterns Support the development and deployment of AI-driven assessment systems that provide automated feedback, performance analytics, and competency evaluation Conduct original research on the effectiveness of AI applications in medical education Publish findings in peer-reviewed journals and present at national and international conferences Secure internal and external funding to support AI-driven educational innovation projects Collaborate with Education and IT teams to support learning analytics and educational data management throughout the School Contribute to the development and delivery of AI literacy curriculum for medical students Conduct workshops and training sessions for faculty on both using AI tools and teaching about AI Mentor students, health care educators and investigators interested in Artificial Intelligence for medical education Participate in the general teaching, service and administrative responsibilities of the Office of Education as determined by their Reporting Officer Develop strong working relationships with collaborators both within Duke-NUS and the wider SingHealth Duke-NUS Academic Medical Centre Appropriate duties as assigned by reporting officer Requirements Education: Doctoral degree in Computer Science, Biomedical Informatics, Data Science, Artificial Intelligence, Machine Learning, Educational Technology, or closely related field Postdoctoral training or previous faculty appointment in Artificial Intelligence, Medical Education, Educational Technology or other relevant area is desirable but not essential   Technical Expertise: Demonstrated expertise in Artificial Intelligence and Machine Learning methods and their practical application Strong programming skills (Python, R, or similar languages) used in AI and data science development Experience developing, training, and deploying AI/ML models using modern frameworks and tools.   Knowledge of relevant AI domains such as Natural Language Processing, Computer Vision, and/or multimodal learning Familiarity with learning analytics, data management and educational/healthcare data environments Understanding of learning management systems or digital learning platforms is advantageous Experience: Minimum 3 years of experience in the development and practical use of AI/ML applications in educational contexts, healthcare settings or other relevant domains Experience with learning analytics and educational data mining Experience with human-centred design and user experience research Demonstrable commitment to research and scholarship. For example, research productivity, preferably in a higher education institute, healthcare organization or medical education setting; grant funded research as Principal Investigator or lead; peer reviewed research publications; visiting appointments; advisory roles; consultancy; other evidence of scholarly activities; knowledge creation, synthesis, application and dissemination Competencies: Knowledge of ethical considerations in AI, including bias, fairness, and privacy Exceptional time management, organizational skills and the ability to work on multiple projects simultaneously and meet project deadlines Accessible, calm, flexible, and mature individual with superlative interpersonal skills that permit him/her to work independently as well as in a team environment, to establish credibility with staff at all levels and of different disciplines and backgrounds, and to be persuasive in both one-to-one and group settings Commitment to maintain confidentiality and exercise discretion in sharing of information. Excellent written and verbal communication and presentation skills with ability to explain technical concepts to non-technical audiences Ability to translate Artificial Intelligence / Machine Learning techniques and Data Analytics approaches to medical education and practice Ability to mentor students and faculty in scholarship within the domain of Artificial Intelligence for medical education All applications including a letter of interest and a curriculum vitae should be submitted online. Informal enquiries are welcome and should be directed to Prof Fernando Bello (f.bello@duke-nus.edu.sg). We regret that only shortlisted candidates will be notified