Gwangju Institute of Science and Technology (GIST)

Full Time/Continuing/Campus Independent/Salary band $134,160 - $142,130 dependent on experience + 17% superannuation Drive process improvements and play a key role in shaping the student experience Provide strategic oversight of core student administration functions, including enrolment, fees, government reporting, examinations and academic scheduling. About the position Reporting to the Deputy Director, Academic Services, this is a pivotal leadership role which provides a broad range of services to a diverse community of students, staff and visitors of the University. The division supports students through the entire student lifecycle, from application to graduation. Our mission is to provide access to the life- changing opportunities of higher education and continue to attract students from all walks of life, while consistently delivering an outstanding student experience. We influence student outcomes by providing excellent service to our academic colleagues. The Student Administration Division has     a strong collaborative framework and consists of the following functions: Admissions, Student Administration Support for Academic Divisions and Business Systems and Improvement. Duties at this level: Lead and oversee key systems supporting the student and staff experience (e.g. enabling platforms). Provide line management for Senior Officers, Coordinators and Business Partners. Oversee the delivery of complex administrative and professional services, providing expert advice on systems, procedures, priorities and budgets. Drive continuous improvement initiatives in collaboration with Business Support and Improvement colleagues, enhancing service quality and effectiveness. Develop, recommend and implement policy and service delivery changes with institution‑wide impact. Intercampus travel will be required from time to time. Skills and knowledge: A degree, extensive management expertise and supporting experience, or postgraduate qualifications and extensive relevant experience, or an equivalent alternate combination of relevant knowledge, training and/or experience. Demonstrated management and leadership skills with experience in managing and leading staff to promote a cohesive and effective team and managing workflows. Demonstrated ability to form a detailed knowledge of academic and administrative policies and the interrelationships between a range of policies and activities. Please refer to the Position Description for other duties, skills and experience required for this position. Welcome to Bundoora campus – Please click on the video link below:  https://f.io/KDo0ceng Welcome Video - Victorian Regional campuses – Please click on the video link below: https://www.youtube.com/watch?v=w-NZBy693Go Benefits 17% employer contributed superannuation On site childcare facilities Flexible work arrangements Discounts for staff and their family members to study a range of La Trobe courses How to apply Closing date: Wednesday 28th January 2026 at 11:55pm Position Enquiries: Lisa Constantine, Deputy Director, Academic Services, Email: L.Constantine@latrobe.edu.au Recruitment Enquiries:  Vicki Stavrou, Senior Talent Partner, Strategy and Senior Appointments Email: v.stavrou@latrobe.edu.au Position Description below:  PD-Manager Academic Services.pdf Please submit an online application ONLY and include the following documents: Cover letter addressing your suitability for the role and; An up-to-date resume. Aboriginal and Torres Strait Islander Applicants   We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people.   La Trobe University is committed to creating a diverse and inclusive workforce. We take an intersectional approach by actively supporting and encouraging people of all backgrounds and abilities to submit an application and aim to ensure that the recruitment and employee experience is as accessible and inclusive as possible. Flexibility in interview format will be offered to shortlisted candidates.  Why La Trobe: Develop your career at an innovative, global university where you’ll collaborate with community and industry to create impact. Enjoy working on our inspiring and stunning campuses – the perfect hub for industry, students and academics Help transform the lives of students, partners and communities now and in future All La Trobe University employees are bound by the Working with Children Act 2005.  If you are successful, you will be required to hold a valid Victorian Employee Working with Children Check prior to commencement.    La Trobe University is committed to upholding the National Code to Prevent and Respond to Gender-Based Violence (GBV Code). This aligns with our mission to create safe and respectful communities. Candidates will be asked during the recruitment process to declare whether they have ever been investigated for, or found to have engaged in, gender-based violence in previous employment and/or in legal proceedings and provide relevant information to assist in determining suitability. Gender-based violence means any form of physical or non-physical violence, harassment, abuse or threats based on gender, that results in, or is likely to result in harm, coercion, control, fear or deprivation liberty or autonomy.  

Location Abu Dhabi, United Arab Emirates Open Date Nov 14, 2025 Deadline Aug 31, 2026 at 11:59 PM Eastern Time Description MBZUAI is a research-focused university in Abu Dhabi, and the first university dedicated entirely to the advancement of science through AI. The university empowers the next generation of AI leaders, driving innovation and impactful applications of AI through world-class education and interdisciplinary research. In 2025, MBZUAI launched its first ever undergraduate program, a Bachelor of Science in AI, with two distinct streams: Business and Engineering, and are looking for passionate and highly motivated Teaching Faculty. The Undergraduate Division is seeking teaching faculty to teach an undergraduate course, Machines that Create, an introductory yet comprehensive overview on Generative AI and Foundation Models, covering the methods and techniques driving modern AI systems capable of generating data such as text, images, sounds, graphs and other data types. Students will explore the core principles behind generative models, including advanced transformer architectures, diffusion models, and autoregressive techniques, as well as their applications in natural language processing, computer vision, and beyond. The course emphasizes hands-on learning, enabling students to understand and implement state-of-the-art methods while critically evaluating their ethical implications and limitations. Responsibilities include: Delivering high-quality instruction in Generative AI, Foundation Models, and related AI techniques. Developing and maintaining course content, exercises, and hands-on projects aligned with the latest research and industry practices. Fostering an interactive, student-centered learning environment that emphasizes experimentation, problem-solving, and critical evaluation. Mentoring and advising students in course projects and applied AI research. Collaborating with colleagues to integrate ethical and methodological perspectives into AI curricula. Why Join MBZUAI? Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions Exceptional Benefits: Comprehensive health & life insurance Relocation support for international faculty Live in Abu Dhabi: World’s safest city, year-round sunshine, rich culture, and modern amenities Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers Qualifications This position requires a Ph.D in Computer Science, Artificial Intelligence, Machine Learning, or a closely related field. Demonstrated expertise in Generative AI, Foundation Models, or related areas of machine learning. Experience with modern AI frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers) and practical implementation of generative models. Strong commitment to teaching excellence and fostering student engagement. Teaching Experience: Proven teaching or training experience at the undergraduate or graduate level (or equivalent professional training experience) Application Instructions To apply for this position, please submit the following: Cover letter Curriculum Vitae Teaching statement Reference letters or Name and contact details for three referees *MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives. *Be part of AI’s future—apply today to MBZUAI! *#MBZUAI #careeropportunities #AI

Ref.: 534070 Work type: Full-time Department: School of Computing and Data Science (14700) Categories: Teaching Staff Teaching Assistant in the School of Computing and Data Science (several posts) (Ref.: 534070) (to commence as soon as possible, on a one-year temporary full-time basis, with the possibility of renewal) Applicants should possess a good Bachelor’s degree in Computer Science or a related discipline. Good written and spoken English, along with good communication skills, are essential. Preference will be given to those with relevant experience in teaching support and a background in AI literacy. The appointees will report to the Course Coordinator of AI literacy courses. Their main responsibilities include assisting faculty members with course preparation and delivery, conducting tutorials, supporting student learning, grading assignments and examinations, providing constructive feedback to students, maintaining course-related records and databases, and facilitating communication between students and faculty members. They will also assist in organizing workshops and seminars, and perform any additional duties as assigned. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University only accepts online applications for the above posts. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until January 31, 2026, or until the posts are filled, whichever is earlier. Shortlisted candidates will be invited to attend an interview and/or a written test. The University is an equal opportunities employer and  is committed to equality, ethics, inclusivity, diversity and transparency