Central Methodist University

Classification: Academic Level E Terms: Full time, Fixed term up to 5 years The Australian National University (ANU) is seeking to appoint an outstanding Director, John Curtin School of Medical Research, based in the ANU College of Science and Medicine. The John Curtin School of Medical Research was established in 1948 as a founding school of the Australian National University. With a legacy of three Nobel Laureates and numerous other prestigious international and national awards, the School undertakes research into diseases that include cancer, infectious diseases and neurological conditions, drawing on deep expertise in genomics, cancer biology, immunology, and neuroscience. Reporting to the Dean of the ANU College of Science and Medicine, the School Director provides strategic leadership to drive the School’s overall performance. This includes promoting excellence and innovation in research and education, and cultivating a supportive, inclusive, and collegial environment for staff and students. The Director is responsible for enabling academic staff to deliver high-quality research, teaching, policy, and practice outcomes aligned with the University’s strategic priorities. Additionally, the Director oversees the management of the School, including academic, financial, and staffing operations. The Director is the lead advocate for the School and works collegially with other senior staff of the university to achieve the strategic aims of the College and the University. Orchard Talent Group is supporting ANU with this appointment. To discuss this opportunity in the strictest of confidence please contact Phil Graham or Lisa Gleichmann at Orchard Talent. A detailed candidate application pack including position description and selection criteria is available on request. T: +61 2 9157 6222 E: jcsmr@orchardtalent.com.au Applications close on Sunday 7 June 2026 at 11:55pm AEST. Please note, ANU is not accepting applications through this job portal. All applications should be directed to jcsmr@orchardtalent.com.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. The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results.

Classification: ANU Officer 6/7 (Administration) Salary package: $98,387-$113,252 per annum (paid pro-rata) plus 17% superannuation  Terms: Part-time (up to 0.6FTE), Continuing (contingent funded) This position is continuing (contingent funded). The funding that supports this project has an expected end date of 31 December 2029. Position Description and Selection Criteria: PD_PEWER_ANUO67 Communications and Engagement Officer - RadInnovate.pdf Position Overview This role is integral to the delivery and support of the ARC Industrial Transformation Training Centre for Radiation Innovation (RadInnovate). RadInnovate aims to build new capabilities for nuclear science and radiation by training the next generation of transdisciplinary leaders through the integration of core science, technology, regulation, governance and societal values. RadInnovate is led by ANU in partnership with Adelaide University, and with 15 industry and government partners on co-designed research projects in the areas underpinning nuclear science, technological innovation, and regulatory and social responsiveness, to equip Australian industries with a future-ready workforce. As the Communications and Engagement Officer, you will report to the Chief Operating Officer, who leads a small team of professional staff who support the operations of RadInnovate and work in close collaboration with the Director of the Training Centre, Professor Mahananda Dasgupta, across both Universities, our Partner Organisations and manage relationships with internal and external stakeholders. About the role The role will work in a collaborative manner to develop, implement and monitor the communication and stakeholder engagement activities of RadInnovate. You will also support the events essential to building the Training Centre's research community. We are looking for someone who can work quickly, communicate clearly, and who will excel at building strong relationships. Our ideal candidate is confident and adaptable in engaging students, early-career researchers, senior researchers, and industry partners, and in collaborating with subject-matter experts. You will bring energy, organisation and an ability to deliver outcomes in a complex and dynamic environment. You may have worked in communications, content management, or media. Experience in event management will be highly regarded, as will be knowledge/experience working in a scientific research environment. Diverse candidates are welcome. Your most important quality will be the ability to deliver engaging content, communicate clearly, and build our stakeholder network. This role is a fantastic growth opportunity for anyone seeking to develop their career in communications and stakeholder engagement. Over time, you will help us build the RadInnovate community, tell our success stories both internally and externally, and help grow our network of researchers and industry partners. We are a small team, but we will support you in succeeding, celebrate those successes, and help you plan for future career progression. For further information, please contact Ingrid McCarthy, RadInnovate Chief Operating Officer, T: 0407 070 769, E: ingrid.mccarthy@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: Monday, 25 May 2026, 11:55pm (AEST)

At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700  of them do research and teaching, around 3,000 work in administration and organisation. We are looking for a/an University assistant predoctoral - Completion contract 39 Faculty of Computer Science  Startdate: 01.07.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 31.12.2026 Reference no.: 5591 Your personal sphere of influence: The Doctoral School Computer Science DoCS (https://docs.univie.ac.at) founded in 2020 offers a structured doctoral programme that supports early-career research in the areas of Computer Science and Business Informatics. The programme includes world-leading researchers in Computer Science as supervisors and co-supervisors who pursue basic as well as applied research within an intensive doctoral teaching programme tailored to the scientific needs of students in small topical groups. The Doctoral School Computer Science provides the option of performance-based contract extensions (up to 6 months) to doctoral students who previously had a position as university assistant (prae doc) or as third-party funded researcher (prae doc) at the University of Vienna. This completion contract is meant to support a high-qualified DoCS fellow in the final phase of the doctoral studies. The successful applicant will get a contract as university assistant (prae doc) and will be working in the research group Data Mining and Machine Learning at the Faculty of Computer Science. Your future tasks: You actively participate in research, teaching & administration, which means: Your main task is to complete and to submit your dissertation. You meet and consult with your supervisor(s) on a regular basis in order to priorities your tasks and get the necessary support to complete your dissertation successfully in time. You participate in your department's and the Doctoral School activities and workshops. You participate in research projects and research studies. You participate in creating publications, academic articles, and  presentations. You participate in conferences and publish research results in peer-reviewed journals. You actively seek support (workshops, training, coaching etc.) if necessary. You supervise project work of students. You participate in teaching and independent teaching of courses as defined by the collective agreement. This is part of your personality: General expectations:  Master's degree in one of the following subjects: Science and Technology Studies, Human-Computer Interaction, Information Science, Communication Science or a related field. Excellent academic and study record (e.g. FÖP within one year, annual submission of progress reports; outstanding publication record etc.). Excellent and up-to-date knowledge of Reinforcement Learning, Hyperbolic Geometry for Reinforcement Learning, and Plasticity in Neural Networks (evidenced by recent publications in A/A* conferences or Q1-WoS journals). Excellent and up-to-date knowledge of typical machine learning and deep learning frameworks such as PyTorch and Jax (evidenced by relevant recently published source code or similar). Experience in university teaching. High level of motivation and commitment to succesfully complete your doctoral studies within the anticipated time frame. High level of written and oral communication skills. Excellent command of written and spoken English (C1 Level) Experience with the structures of the University of Vienna. Member of the UniVie Doctoral School Computer Science DoCS. Desireable qualifications: B2-level German skills International experience Collaborative, team-minded and pro-active attitude. What we offer: Work-life balance: Our employees enjoy flexible working hours and can partially work remotely. Inspiring working atmosphere: You are a part of an international academic team in a healthy and fair working environment. Good public transport connections: Your workplace is easily accessible by public transport. Internal further training & Coaching: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from – free of charge. Fair salary: The basic salary of EUR 3.776,10 (on a full-time basis) increases if we can credit professional experience. It is that easy to apply: With your scientific curriculum vitae Cover letter/letter of motivation referring to the job posting, especially regarding the required skills for the position, and the goal of completing the dissertation within 6 months of starting employment. With your summary of research interests / ideas for a prospective doctoral project proposal (max. 3 p.) With a plan for the completion of the doctorate: current state, work packages, and timeline until submission of your thesis, including milestones. With a confirmation of enrolment in the doctoral programme  List of publications If you have any content questions, please contact: Sebastian Tschiatschek sebastian.tschiatschek@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 05/16/2026 Prae Doc