Kumasi Technical University

At Adelaide University, we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive. We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters As a casual staff member within the School of Accounting and Finance, you will play a key role in designing and developing engaging, flexible, and student-centred blended learning experiences. You will bring valuable industry insight to support the creation of innovative, pedagogy-driven approaches and the effective use of contemporary learning technologies. The School of Accounting and Finance is a hub for learning and innovation, where globally connected, industry-relevant education and research underpin all our programs. We empower students to build strong analytical, strategic, and practical problem-solving capabilities, preparing graduates to succeed in complex and fast-moving business environments around the world. Core Responsibilities: Contribute to the design development and review of Business Analytics courses. Ensure alignment of course content with learning outcomes, accreditation (where applicable), and industry standards. Develop engaging, student-centred learning activities using contemporary teaching methodologies. Apply data analytics tools and techniques (e.g., statistical analysis, data visualisation, predictive modelling) within course content. Collaborate with academic staff and program directors to ensure consistency across courses within the discipline. Ensure materials are accessible and inclusive, adhering to university policies and best practice in learning design. Experience: Demonstrated experience in Business Analytics, or a closely related discipline. Demonstrated experience in higher education teaching, and/or course development. Practical industry experience applying analytics tools and techniques in a business context. Experience with relevant tools/software (e.g., Python, SQL, Java, Power BI, tableau etc). Experience in designing assessments and learning activities aligned with learning outcomes. Familiarity with online and blended learning environments (e.g., LMS platforms such as Canvas) will be an added advantage. Eligibility Requirements: Graduate or postgraduate qualification in Business Analytics or a closely related field. Professional experience in the application of business analytics. Demonstrated capability in applying analytical techniques to real-world business problems. Understanding of contemporary learning and teaching principles, including constructive alignment and student engagement strategies. Strong written and verbal communication skills. Ability to work collaboratively in a team environment and meet deadlines. Eligibility to work in Australia. If you have any questions about the process, please contact School of Accounting and Finance at Dean-SAF@adelaide.edu.au If you already hold a casual contract with Adelaide University, please apply and complete the application form to be considered for future opportunities. Applying is simple. Simply click on the Apply Now button and upload: your current CV a cover letter that tells us why you’re excited about the role Submit your application by 11:30pm, Sunday 10 May 2026. Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment. Our commitment to inclusion and diversity We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process. 

Classification: Academic Level A/B Salary package: $89,313 - $137,870 per annum plus 17% superannuation Term: Full-time, Fixed Term (Up to December 2027) The Position Up to two academic positions are available for the project “Analytics for the Australian Grains Industry” (AAGI) within the Research School of Finance, Actuarial Studies and Statistics at the ANU College of Business and Economics. The successful candidate will undertake a collaboratively designed research program in statistical design and modelling, while also providing analytical support to projects relevant to the Australian grains industry. This position will be part of a partnership between ANU and the Strategic Partners (Curtin University, University of Queensland, and University of Adelaide) of the Analytics for the Australian Grains Industry (AAGI). The Person We are looking for academics with a PhD (or who will be awarded a PhD within six months of the appointment commencement) and experience in statistics, data science, machine learning, bioinformatics, quantitative biology, or closely related fields. Candidates must possess strong scientific programming skills, demonstrated experience working with real data, and a substantial commitment to reproducible and transparent workflows. They should also have evidence of experience relevant to the fields of data science, data analytics, statistics, machine learning, bioinformatics, or quantitative biology. To be considered to be appointed at Academic Level B, candidates should provide evidence of their ability to articulate and pursue innovative research in the fields of data science, data analytics, statistics, machine learning, bioinformatics, or quantitative biology. They should also present a vision for the activities they will undertake at ANU. The candidate should have working rights and be available to start by August 2026. Desirable Requirements: Experience in mixed models, experimental design, image analytics, machine learning, transcriptomics, or molecular phenotyping. Experience in the biological or agricultural sciences. For more information about the position please contact Dr Emi Tanaka on E: Emi.Tanaka@anu.edu.au Working at ANU This is an opportunity to work with a world class University that undertakes cutting edge research and has a strong tradition in research-led teaching excellence. For information on a range of lifestyle, financial and non-financial rewards and programs, please click here. The ANU College of Business and Economics (CBE) seeks to advance knowledge through high quality teaching and research. We contribute to associated professions, industry and government by conducting world-class, long-term strategic research, and through the provision of a range of specialised undergraduate and postgraduate degree programs. As a part of Australia's leading university, CBE provides an excellent educational experience for our students. Our global alumni network reaches the world's leading companies, policy agencies and universities. We strongly believe that the way in which we operate is defined by our Values and Behaviours and encourage you to apply if you are looking for a workplace that encourages respect, collegiality and excellence. To Apply To be considered for this position, please upload the following documents: A current curriculum vitae (CV), and No more than a two-page summary addressing your suitability against the selection criteria. The committee will consider candidates that do not meet one or more aspects of the selection criteria. Please note: The successful candidate must have rights to live and work in this country and will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results. 

Ref.: 535030 Work type: Full-time Department: School of Nursing (20800) Categories: Teaching Staff Assistant Lecturer (several posts) in the School of Nursing (Ref.: 535030) (to commence as soon as possible, on a two- to three-year fixed-term basis with contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 10% of basic salary, with the possibility of renewal subject to satisfactory performance) Applicants should possess a Master’s degree in Nursing or a healthcare-related discipline, and be a holder of the Certificate of Registration (Part I) and valid Practising Certificate issued by the Nursing Council of Hong Kong, with a minimum of 3 years’ post-registration local clinical experience. Preference will be given to those with higher academic qualifications and clinical teaching experience. They should have strong communication, organizational and problem-solving skills; the ability to work independently and as a team; and the capacity to work under pressure and multitask. Those who are qualified as Advanced Practice Nurse (APN) will be offered the title of Advanced Practice Nurse. The appointees will report to the Chairman of the Teaching and Learning Committee. They will be responsible for teaching, conducting tutorials, and providing practical and clinical supervision in Nursing. They may be required to perform duties outside normal office hours. Shortlisted candidates will be invited to an interview. Those who have responded to the previous advertisement (Ref.: 534226) need not re-apply. 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 application for the above posts. Applicants should apply online and upload an up-to-date C.V. and at least 2 reference letters with specific comments on their competence. Review of applications will start on May 5, 2026 and continue until June 30, 2026, or until the posts are filled, whichever is earlier.