National Defence University - Pakistan

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

Post-doctoral Fellow / Senior Research Assistant (holding the functional title of Senior Psychology Assistant) in the Department of Psychology Ref.: 536277 Work type: Full-time Department: Department of Psychology (30200) Categories: Senior Research Staff & Post-doctoral Fellow, Research Staff We now invite applications for the captioned post. Duties and Responsibilities The appointee will support the research and implementation of a large-scale mental health and well-being project for primary schools in Hong Kong under the Department of Psychology, Faculty of Social Sciences. Major tasks include: Assisting in the design and development of research studies and evaluation frameworks. Supporting the implementation of research activities and programme evaluation. Collecting and analysing data under supervision. Preparing technical research reports. Coordinating research interns. Performing administrative tasks in support of the research-cum-intervention project. Any other duties as assigned.  Requirements The appointment (Post-doctoral Fellow / Senior Research Assistant) will be offered based on the qualifications and experience of the appointee: For the Post-doctoral Fellow post, applicants should have a Ph.D. degree or an equivalent qualification in Psychology, Social Sciences or a related discipline. For the Senior Research Assistant post, applicants should have a Bachelor’s degree in Psychology, Social Sciences or a related discipline plus 3 years’ research experience since the award of the first degree; or a research Master’s degree in Psychology, Social Sciences or a related discipline plus 1 year’s post-qualification research experience.  The appointee should possess: A good command of written and spoken English and Chinese. Strong research skills in Psychology or Social Sciences. Proficiency in statistical software (e.g., SPSS, Jamovi, or R), as well as MS Excel and Chinese typing. Experience in the implementation of community or educational research projects will be an advantage. What We Offer The appointment will commence in September 2026, on a two-year fixed-term basis for the Senior Research Assistant, and on a two-year temporary term for the Post-doctoral Fellow, with the possibility of renewal subject to satisfactory performance and funding availability. A highly competitive salary commensurate with qualifications and experience will be offered. Other benefits include annual leave, medical benefits and free access to campus facilities. How to Apply 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 15 July, 2026, or until the post is filled, whichever is earlier.

The Department of Biology (www.biol.ethz.ch) at ETH Zurich invites applications for the above-mentioned tenured professorship at the Institute of Biochemistry (IBC; www.bc.biol.ethz.ch). The successful candidate is expected to lead an independent, world-class research programme in the area of cellular organization and dynamics, working at the interface of cell biology, biochemistry and biophysics to tackle cutting edge problems in their field. Example research areas include the spatial, temporal and biophysical organization of cells, gene expression, genome organization, genome plasticity and stability, regulation of cell growth and division, organelle function, membrane biology, membrane-less compartments, intracellular trafficking and transport, and mechanisms of quality control and cellular homeostasis. The new professor will investigate biological systems at the cell, tissue and/or (model) organism level, possibly driving the development of new technologies to probe cellular parameters. Integration of concepts from different fields to develop unified models of cellular function that go beyond correlative observations is desired. The professorship will be embedded in the Department of Biology, which provides complementing expertise in structural biology, functional genomics, systems and computational biology, tissue development and homeostasis, molecular oncology and more. The successful candidate is expected to demonstrate a strong commitment to teaching at both the undergraduate and graduate levels. In general, at ETH Zurich undergraduate level courses are taught in German and English and graduate level courses are taught in English. ETH Zurich is an equal opportunity and family-friendly employer, values diversity, and is responsive to the needs of dual-career couples. Please apply online: www.facultyaffairs.ethz.ch Applications should include a covering letter; a curriculum vitae; a list of publications; three statements on a) research, b) teaching, c) leadership; descriptions of the three most important achievements; and a certificate of the highest degree. Please note that the covering letter should be formally addressed to the President of ETH Zurich, Prof. Dr. Joël Mesot. The closing date for applications is 31 August 2026.