Pavlo Tychyna Uman State Pedagogical University

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. 

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) of the People’s Republic of China (PRC) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations. Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/. Applications are now invited for the following post: Associate Professor of Teaching / Assistant Professor of Teaching Office of the Faculty of Business (Post Ref.: 26/121) The Faculty of Business is an AACSB-accredited one aiming at continuous improvements of our academic level and education service in the liberal arts setting. The Faculty plays an important role in educating students about cutting-edge, practical knowledge and skills, improving students' academic and professional capabilities, as well as enhancing students' awareness on social responsibilities. Furthermore, we have been devoting every effort to the sustainable development of Lingnan University in the academic community and the substantive realization of our values and mission in the Hong Kong society and the world. The Faculty is looking for an experienced Assistant Professor of Teaching / Associate Professor of Teaching who will (1) teach courses in the STEM area focusing on information systems, business data analytics, python programming, etc., (2) support the promotion and admission as well as operation of taught postgraduate programmes at the master’s or doctoral level in the Faculty, (3) contribute to students’ academic and career advising, and (4) contribute to other administrative matters of the Faculty as required by the supervisors. General Requirements Candidates should have (i) a doctoral degree in computer science, information systems, data science or other relevant areas (candidates with both STEM and business background are highly desirable); (ii) at least 3 years of experience in teaching relevant courses; (iii) a recognizable experience in promoting and managing taught postgraduate programmes; and (iv) good command of English and Chinese (including Putonghua). Appointment The conditions of appointment will be competitive. The rank and remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity, and incoming passage and baggage allowance for the eligible appointee. Appointment will normally be made on contract basis for up to two years. Application Procedure (online application only) Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicants’ consent has been given for their providing references. Personal data collected will be used for recruitment purposes only. We are an equal opportunities employer. Review of applications will continue until the post is filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.

Classification: ANU Officer 8 (Administration) Salary package: $121,359 - $129,772 per annum plus 17% superannuation Term: Full time, Continuing Position Description and Selection Criteria: PD & PEWER_Deputy Manager, Digital Scholarship_ANUO8.pdf Professional and collaborative work environment Mentoring and ongoing career development Excellent remuneration and benefits packages 17% Superannuation Contributions Annual Leave Loading Salary sacrificing options for cars, parking, technology, childcare and more Position overview Are you an energetic and motivated professional who thrives on supporting Digital Scholarship and Open Access publishing? Do you have a strong understanding of institutional repositories and digitisation, along with excellent organisational, communication, and interpersonal skills? If you enjoy working collaboratively, can effectively liaise with a broad range of stakeholders, and are committed to a team-based approach, we would welcome your application to join the Australian National University Library. For more information, please contact Katy Najafi, Collections Inititiatives and Analysis Manager, katy.najafi@anu.edu.au  The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on indigenous.employment@anu.edu.au  ANU values diversity and inclusion and is committed to providing equal employment opportunities to those of all backgrounds and identities. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion Application information In order to apply for this role please make sure that you upload the following documents: A statement addressing the selection criteria. A current curriculum vitae (CV) which includes the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees you can complete these online when prompted in the application form. Other documents, if required. Applications which do not address the selection criteria may not be considered for the position. 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.  Closing Date: Sunday, 10 May 2026, 11:55pm (AEST)