Alvan Ikoku Federal University of Education

About the Position As Australia’s first private, not-for-profit university, Bond University based in Robina on the Gold Coast seeks to be recognised internationally as a leading independent university, imbued with a spirit to innovate, a commitment to influence and a dedication to inspire tomorrow's professionals who share a personalised and transformational student experience. Join a team of industry leaders and world-class Academics Access state-of-the-art research facilities and resources Play a pivotal role in supporting students' academic and personal growth Teaching Fellow or Senior Teaching Fellow in Enterprise Artificial Intelligence  Bond Business School Part-time (0.6 FTE), Fixed Term Appointment for 12 months Position Reference No:184660235 Join Australia’s top university for teaching* and enjoy staff benefits including: Free staff car parking Up to 18/26 weeks of parental leave# Salary packaging options for FBT and Non-FBT items# Annual leave loading for continuing and fixed term Academic staff Staff wellbeing program Free & Confidential Employee Assistance Program available for all staff Study assistance for staff and dependants# Corporate health and finance discounts Onsite Medical Centre and Counselling Services Onsite Sports Centre including gym, fitness classes and pool# About the Bond Business School The Bond Business School is widely acknowledged, both nationally and internationally, as a benchmark in providing an uncompromising commitment to a premium student experience and to developing leaders for society.  The School’s vision is to be the place of choice for tomorrow’s business leaders to study and learn their craft. It offers a range of undergraduate, postgraduate and higher degree research programs. Internationally accredited by the Association to Advance Collegiate Schools of Business (AACSB) and the European Foundation for Management Development's (EFMD) European Quality Improvement System (EQUIS), the School is also a signatory member of the UN’s Principles for Responsible Management Education (PRME). Students are taught in small classes typically through face-to-face delivery supplemented by online learning technologies. Their learning is facilitated via experiential teaching practices and authentic assessments. Bond Business School focusses on high quality research which is typically aligned with its three research pillars in Data Analytics; Entrepreneurship and Family Enterprise; and Governance, Accountability and Purpose.  This position is a technical and teaching support role for the delivery of subjects in the Bachelor of Enterprise Artificial Intelligence and Master of Enterprise Artificial Intelligence programs which commence in 2027. These interdisciplinary programs combine core principles of computer science and artificial intelligence with business and data-driven decision-making and entrepreneurial thinking. They are designed to equip students with the technical skills and commercial acumen necessary to develop, implement, and manage AI-driven business applications and digital systems across diverse settings, including business, government, and nonprofit organisations. Positioned as a hybrid version of a full computer science degree, the programs provide strong foundations in programming, systems analysis, databases, and AI/ML (Machine Language) toolkits, including agentic AI. They emphasise applications to solve real-world business problems in areas such as finance, marketing, operations, and strategy. The role will provide technical support, laboratory instruction, and academic assistance to ensure high-quality, industry-relevant learning experiences.  Key responsibilities of the role are: 1. Teaching and Learning Support Deliver laboratory classes and tutorials in Enterprise AI and related IT subjects. Support students in developing practical skills in AI systems, programming, and infrastructure. Provide academic guidance and feedback on student work in alignment with course learning outcomes. 2. Curriculum and Resource Development Design and develop hands-on workshops, lab exercises, and assessment tasks in AI and computing. Assist academic staff in maintaining contemporary, industry-aligned teaching materials. Contribute to continuous improvement of subjects through feedback and innovation in delivery. 3. Technical Support for Teaching Infrastructure Support the setup, maintenance, and troubleshooting of AI teaching environments. Assist in deploying and managing AI-related infrastructure (e.g., virtual machines, agent-based systems). Ensure availability and reliability of systems used in teaching laboratories and workshops. 4. Student Engagement and Support Provide technical and academic assistance during labs and consultations. Encourage best practices in coding, system design, and AI deployment. Selection criteria Position descriptions Teaching Fellow Teaching Fellow Senior Teaching Fellow  Senior Teaching Fellow The position is offered initially on a part-time (0.6 FTE) basis as a 12-month fixed term contract. The level of appointment will be determined by the Selection Panel commensurate with skills, qualifications, and experience in line with the position descriptions and selection criteria below. About the Person The successful applicant will have demonstrable expertise in artificial intelligence and its applications in a business environment. They will also meet the following criteria: Have a Masters level qualification (or higher) in a relevant discipline. Be proficient in operating systems, including Linux and Windows (with exposure to macOS desirable). Demonstrate knowledge of AI infrastructure, including deployment of agents, virtual machines, or related environments. Have programming capability in Python, with additional experience in languages such as C, C++, or C# desirable. Possess foundational networking knowledge, including configuration of networks, routing, and switches. Have prior experience in delivering laboratory classes or tutoring in a university or professional training context. Be able to explain technical concepts clearly to students with varied levels of expertise. Be experienced in developing practical teaching materials (e.g., workshops, labs, or assignments) in IT or AI-related areas. Demonstrate excellent communication and interpersonal skills enabling them to work effectively in a team with colleagues in the Business School and other work units.  Salary details The salary for this position is outlined below and will be negotiated commensurate with skills, qualifications, and experience.  Bond University Academic Australian Public Sector Descriptor Salary (base) 0.6 FTE Superannuation per annum 12%  Teaching Fellow Assistant Lecturer (Level A Range) $59,975 per annum  ($99,957.84 p.a.  Full-time equivalent) Senior Teaching Fellow Assistant Lecturer (Level A Range) $66,776 per annum ($111,294.10 p.a. Full-time equivalent) Additional Information Position-related enquiries can be directed to the Associate Dean of Faculty, Carmen Cox, at ccox@bond.edu.au Application and Submission Details Further Information Position-related enquiries can be directed to the Associate Dean of Faculty, Carmen Cox, at ccox@bond.edu.au How to apply for this position Click Apply Now and Create New Account to get started. You can: Upload your Resume – your account will be created automatically, or Manually enter your details to set up your account. Please ensure your application includes: A current resume A cover letter addressing the Selection Criteria outlined in the Position Description above and state which level of appointment you are applying for. For current Bond University staff, apply directly via People Connect, log in with staff credentials, from the Home dashboard select Careers, select the role and apply. If you require any assistance with your application submission, please visit Applying for jobs at Bond. Applications close: 11:59pm, Sunday 26 July 2026. Applicants must have current work rights in Australia at the time of application. This status will be verified as part of the recruitment process. Pre-employment checks: Appointment is subject to satisfactory pre-employment checks (including working rights verification, reference checks and a certified copy of your highest qualification). In line with the National Higher Education Code to Prevent and Respond to Gender-based Violence 2025, preferred candidates must complete a Gender-Based Violence (GBV) Declaration, and any offer of employment will be conditional upon the University’s review of the declaration. For more information, please visit our website via this link: Applying for Jobs at Bond Conditions of employment are offered under a Bond Employment Contract (BEC). Bond University is an equal opportunity employer, and we encourage our students and staff to respect individuality, inclusiveness and diversity. In line with Bond University’s values, people from diverse backgrounds, women, Aboriginal and Torres Strait Islander people, people who identify as LGBTIQ+, and people with a disability are encouraged to apply for positions at the University. Please advise the Talent Acquisition Team if you require any reasonable accommodations to assist you at anytime during the recruitment process. For more information, visit Supporting diversity at Bond | Bond University | Gold Coast, Queensland, Australia Bond University Privacy Policy #Eligibility criteria or membership fees apply *Australian Financial Review’s Best Universities Ranking 2024

Department: Applied Social Studies Vacancy ID: 042563 Closing Date: 19-Jul-2026 We are seeking an excellent academic to join our staff as an Assistant Lecturer in Community Work or dual qualified Community Work and Youth Work. The person appointed will have a proven record of teaching, research and publication, appropriate to career stage, as well as appropriate experience in the field. They will be expected to make a strong contribution to the teaching programme of the Department and undertake teaching duties on the Department’s undergraduate and postgraduate programmes as well as the supervision of Master’s students. Assistant Lecturer (2026) Salary Scale: €43,025 (1 point) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Sunday, 19th July 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

Professor Ying Weng is seeking to recruit an Assistant Research Fellow in Artificial Intelligence (outsourced) to join the research project team in School of Computer Science at University of Nottingham Ningbo China. Your Responsibilities: The successful candidate will have specific responsibility for Professor Ying Weng’s research project in Artificial Intelligence. The person appointed will be expected to conduct work using approaches or methodologies and techniques appropriate to the type of research, and will be responsible for writing up their work for publication. The successful appointee will have the opportunity to use their initiative and creativity to develop research methods and extend their research portfolio. This may include opportunities to: undertake supervised research which may include planning, preparing, setting up, conducting and recording the outcome of experiments and fieldwork, developing questionnaires and conducting surveys within the framework of an agreed programme. Conduct literature and database searches and carry out analyses and/or tests and/or critical evaluations using specified and agreed techniques, approaches and/or models and document findings.. Contribute to the production of research reports and publications Prepare and present papers on research progress and outcomes to relevant groups including external bodies.. Continue to develop skills in and knowledge of research methods and techniques and contribute to the development of/or choice of techniques, models, methods, critiques and approaches. Communicate information and ideas to other staff and advise and assist other staff within area of expertise. Build relationships with internal and external contacts to develop knowledge and understanding and form relationships for future collaborations. Work in conjunction with others in the research team, achieve objectives and deadlines of the research project. Participate in training and staff development events, as trainer or trainee, as appropriate. Maintain appropriate professional development, expertise and awareness. Undertake other tasks and responsibilities as may reasonably be required. About You: Essential: Degree in relevant subject area. Excellent oral and written communication skills, including the ability to communicate with clarity on complex information. Developing research skills. Ability to contribute to method improvement. Analytical ability to facilitate conceptual thinking, innovation and creativity. Ability to build relationships and collaborate with others, internally and externally. Evidence of sufficient breadth or depth of research methodologies and techniques to work in research area. Desirable: Master’s Degree in relevant subject area. Demonstrates a desire to further develop skills and knowledge of research methods and techniques. Some practical experience of applying the specialist skills approaches and techniques required for the role. Evidence in use of research methodologies and techniques to work within research area About Us: Join a unique British University in China. University of Nottingham Ningbo China (UNNC) was the first Sino-foreign university to open its doors in China. This award winning campus offering a UK style education has grown to establish a student body of over 10,000 in just 22 years. This is an exciting opportunity to join the School of Computer Science, in the Faculty of Science & Engineering, based at the University of Nottingham Ningbo China (UNNC). The School of Computer Science at UNNC is part of the School of Computer Science at the University of Nottingham, UK, which is ranked among the top UK Computer Science departments (http://www.nottingham.ac.uk/computerscience ). The School at UNNC offers a full range of undergraduate and postgraduate computer science programmes. Supported by major research grants, the School of Computer Science at UNNC is developing research excellence in areas including Machine Learning, Big Data, Visual Analytics, Computational Intelligence, Machine Learning, Software Implementation and Testing, and their applications in manufacturing, transport, healthcare and others. Your Remuneration, Benefits and Support You will be offered a fixed term for 1 year with an outsourced contract effective from June 2026, or as soon as possible thereafter. We are committed to providing competitive employment packages while supporting the wellbeing of our staff to help them reach their full potential. How to Apply Applicants wishing to apply for a vacancy should submit the following documents by email to: job@nottingham.edu.cn before 23:59 (Beijing Time) on the closing date. Please include: Vacancy reference number & title Application Form Cover Letter CV Enquiries If you are unable to apply online please contact the Human Resources Office via Email: Job@nottingham.edu.cn and quote the reference number of “184601”.