University of Torbat Heydarieh

Department: Student Skills & Success Vacancy ID: 042263 Closing Date: 28-Jun-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 a student-focused, empathetic, and solutions-oriented Academic Advisor to support students in navigating and succeeding in their academic journey. This role is central to the Academic and Programme Advisory Office, providing high-quality advice and guidance on programme pathways, curriculum structures, and university regulations, empowering students to navigate and succeed in their academic journey at Maynooth University. Working closely with the Academic and Programme Advisory Office Manager, the appointee will play a central role in the office’s excellent service provision, the delivery of key campaigns, and the commitment to enhancing service innovation. The appointee will be responsible for delivering accessible, accurate, and student-centred advice, enabling students to make informed decisions throughout their studies. The successful candidate will play a key role in the Academic and Programme Advisory team, collaborating closely with colleagues within the team and across Student Skills and Success, the Office for Students and Learning, and the broader university community, as well as with the Maynooth Students’ Union. This position offers the post holder an opportunity to help shape a crucial student service dedicated to empowering students to navigate their academic journeys and achieve their academic goals and success. The post holder will actively contribute to team growth, shared knowledge and the enhancement of academic and programme advisory services, playing a critical role in supporting digital service delivery, including the transition and optimisation of academic processes across evolving digital platforms, with a particular focus on digital and integrated resources and supports, including the use of data-informed approaches and emerging technologies to enhance service accessibility, responsiveness and impact. The role will also foster strong partnerships and collaborations with university stakeholders, centred around our students. This role sits within the Student Skills and Success division of the Office for Students and Learning and supports Maynooth University’s strategic priority to expand high-quality, technology-enabled student support services in partnership with students. This is a specialist advisory role with a primary focus on service delivery, academic guidance, and operational support, requiring sound professional judgement in interpreting academic regulations in the context of students' needs. The ideal candidate will have at least five years of relevant experience in student support and/or advisory roles within higher education, demonstrate excellent communication and organisational skills, have a strong understanding of sectoral best practice, and uphold a student-centred ethos, combined with a genuine passion for student well-being, engagement, and success. Reporting to the Academic and Programme Advisory Office Manager, the post holder will play an instrumental role in delivering excellent service, with a keen awareness of the diverse needs of MU students and staff, using data and insight to continuously evaluate and enhance service effectiveness and student outcomes. The Office is responsible for the delivery of core university processes at critical times in the academic year (normally July and September annually). The Academic Advisor plays an integral role as part of the team in the delivery of service and must be available at critical times. Salary: Administrative Officer I (2026): €59,812– €85,339 p.a. (9 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Sunday, 28th of June 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

Learning Sciences & Assessment Department Overview The National Institute of Education (NIE) is among the world’s top education institutes, recognised for its excellence in teacher education and educational research.  NIE has played a key and pivotal role in shaping and developing Singapore’s teaching profession and landscape through evidence-informed, practice-focused and values-based programmes and initiatives. An autonomous institute situated within the research-intensive Nanyang Technological University, NIE is consistently ranked within the top 10 in the world for research impact in the field of Education. The Learning Sciences & Assessment (LSA) Department is an interdisciplinary academic department committed to advancing research, teaching, and professional practice in learning sciences, educational technology, and assessment. Through theoretically grounded and methodologically rigorous scholarship, LSA seeks to deepen understanding of how people learn and how learning environments, pedagogies, and technologies can be designed to improve educational outcomes across diverse contexts. LSA brings together complementary expertise spanning learning design, technology-mediated learning, assessment, analytics, and educational innovation. The department offers programmes across initial teacher education and graduate education, and supports the preparation of educators, researchers, and instructional leaders who can design, study, and lead meaningful learning in schools, higher education, and professional settings. Current programmes include: Master of Arts (Instructional Design and Technologies) Master of Education (Learning Sciences and Technologies) Master of Arts in Professional Education (Training and Development) Master of Teaching Master of Science (Science of Learning) Doctor of Education (Technologies and Technology-Mediated Learning Environments) Doctor of Philosophy (Education) The Opportunity The LSA at the National Institute of Education (NIE), Nanyang Technological University (NTU), Singapore invites applications for a tenure-track Assistant/Associate Professor position in AI-Enabled Instructional Design and Professional Education. The Department seeks a candidate whose scholarship and teaching will strengthen its research, graduate teaching, and programme development in an area of strategic growth. We are particularly interested in applicants whose expertise lies at the intersection of instructional design, adult learning, professional education, and the pedagogically sound use of artificial intelligence to support learning design, facilitation, feedback, and learner support. Candidates with expertise in one or more of the following areas will have an added advantage: Instructional design for higher education, workplace learning, and continuing education Adult learning and professional education Online, blended, and technology-mediated learning design AI-enabled instructional design, including generative AI and intelligent tools for learning design, facilitation, feedback, and learner support Human-centred design of AI-supported learning environments Evaluation of learning interventions in organisational, professional, and higher education settings Ethical, responsible, and pedagogically sound integration of AI in instructional design and professional learning Micro-credentials, workplace assessment, and learning innovation in professional contexts Implementation research, design-based implementation research, or improvement science Requirements For appointment at Assistant Professor rank: A PhD or equivalent qualification in Instructional Design, Learning Sciences, Educational Technology, Adult Learning, Professional Education, or a closely related field. A clear research agenda relevant to AI-enabled instructional design, adult learning, and professional education, with expertise in one or more of the areas identified in this advertisement. Demonstrated potential to develop and sustain a strong research programme, including the ability to secure and manage competitive research funding. An emerging record of high-quality scholarly publications and conference presentations in reputable international outlets. Evidence of teaching effectiveness, or strong potential for teaching excellence, in areas such as instructional design, adult learning, online and blended learning, professional education, or AI-enabled learning design. Familiarity with educational or professional practice and an interest in research with relevance to higher education, workplace learning, continuing education, or professional learning contexts. Potential to build productive collaborations with local and international researchers, educators, industry partners, and other stakeholders. Excellent communication skills in spoken and written English. Collegiality, professionalism, and willingness to contribute to interdisciplinary collaboration, curriculum development, graduate supervision, and academic service. Additional requirements for Associate Professor rank: Established record of excellence as an Assistant/Associate Professor at reputable universities. Outstanding research record in AI-enabled instructional design, adult learning, and professional education. Proven track record of securing competitive research grants. Extensive publication record in high-quality international peer-reviewed journals. International research network with established collaborations. Experience working in or with educational institutions, including schools, is preferred. Responsibilities The successful candidate will be expected to: Establish and sustain a productive research programme, securing competitive research funding. Publish in high-impact peer-reviewed journals or other reputable scholarly outlets. Design, teach, and coordinate courses across graduate and professional education programmes. Collaborate with faculty colleagues to design innovative curricula and support programme development in areas aligned with the Department’s strategic priorities. Supervise graduate students and contribute to the academic and professional development of learners in higher education and professional contexts. Build professional networks with local and international researchers, educators, and industry or professional partners. Contribute actively to service at the departmental, institutional, national, and international levels. Share expertise across NIE through collaborative platforms and interdisciplinary projects. Application Please submit your application together with the following to us through: https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Assistant-Associate-Professor-in-AI-Enabled-Instructional-Design-and-Professional-Education--LSA---NIE-_R00024752  A cover letter outlining suitability of the position. A curriculum vitae, including qualifications, teaching experience, research achievements, full publication list, and academic service. Three sample publications Research Impact Statement (up to 5 pages) Applicants should demonstrate the significance and impact of their research by addressing the following: Key Contributions: What are your most important research impacts to date? Evidence of Impact: How has your work influenced your field, policy, or practice? Provide evidence (e.g., publications, citations, policy uptake, industry adoption). Academic Impact: How has your work advanced theory, methods, or knowledge? Societal/Policy/Industry Impact (if applicable): Describe influence on policy, regulation, industry standards, or broader society. Research Identity: What distinguishes your work? Articulate a clear and coherent research trajectory. Contribution and Leadership: Clarify your role in collaborative projects. Future Impact: Outline how your research will shape the field over the next 5–10 years. Teaching Impact Statement (up to 3 pages) Applicants should demonstrate their impact on student learning and education by addressing: How they have enhanced student learning and engagement What teaching innovations or improvements they have implemented and why How they promote interdisciplinary thinking How they incorporate experiential and collaborative learning How they have contributed to a positive teaching culture Applicants are encouraged to provide evidence to support their claims. Closing Date The closing date for applications is 30 June 2026 or until the position is filled. Other Information More information on LSA can be found at https://www.ntu.edu.sg/nie/about-us/academic-departments/Learning-Sciences-Assessment For enquiries, interested applicants may write to Associate Professor Shanti Divaharan, Head of LSA at shanti.divaharan@nie.edu.sg copied to Miss Ng Shiu Fern at shiufern.ng@nie.edu.sg. Note to applicants Only successful candidates will be notified (via email).

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Future ship and system design (FSSD) program develop strategic and innovative design capabilities for maritime industry in Singapore and beyond. The work package WP2.4 in FSSD will conduct research in the areas of autonomous system dynamic modeling, simulation, testing, data and video analytics, machine learning algorithms and platform programing. The testing will be done both in lab, reservoir/sea and onboard ships. The primary responsibility of this role is to work on and deliver the project together with P2-4 team and be part of the research team in the FSSD program. Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met.  Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Carry out any additional work tasks assigned by the supervisor. To communicate with any relevant internal or external stakeholders to ensure project deliverables are met.  Job Requirements Have relevant competence in the areas of system modeling, simulation testing for both hardware and software. Have a degree in engineering / applied physics, electrical, mechanical, marine, computer engineering or equivalent.  Key Competencies Good knowledge in system modeling, programming, simulations, data analytics. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work.