University of Cepromad

About the position Full-Time, Fixed Term until 31 December 2030 Located at Melbourne (Bundoora) Campus Level C Classification Base salary from $139,792 + 17% superannuation The Academic Lead, Clinical Simulation is responsible for advancing high-quality, evidence-based simulation education across the four health schools within the HPCEU. This role involves mapping and innovating simulation activities, leading the integration of AI and quality standards into curricula, and mentoring staff in designing engaging learning experiences. The incumbent also supports educator development, fosters interprofessional learning, and leads research in clinical simulation. Additionally, the Academic Lead contributes to building a culture of teaching excellence, participates in scholarly activities, secures funding for educational initiatives, and supervises Honours and Masters students. Skills and Experience To be considered for this position, you will have: a PhD degree or equivalent accreditation and standing recognised as appropriate for the position. Demonstrated effectiveness in teaching, curriculum development and subject coordination in face-to-face, blended and/or online modes Demonstrated ability to obtain funding for learning and teaching improvement projects from internal or external grants/contracts/consultancies Demonstrated evidence of innovative initiatives undertaken in the last three years that have improved the student experience, and the evaluation of effectiveness of these initiatives Demonstrated evidence of use of AI in teaching or health and the ability to influence the teaching practice of others Ability to produce pedagogic research outputs related to the Scholarship of Learning and Teaching, particularly in the field of clinical simulation-based education Demonstrated experience in development and delivery of effective simulation-based education in a health-related context Demonstrated knowledge of contemporary issues and emerging technologies in clinical simulation-based education across health care. Demonstrated expertise in evaluating educational interventions, innovations and simulation technologies Please refer to the Position Description for other duties, skills and experience required for this position.  PD - Academic Lead, Clinical Simulation.pdf Benefits Please refer to the Benefits Page on our website. How to apply Closing Date: By 11:55pm on Sunday, 29 March 2026 Position Enquiries: Professor Lisa McKenna - Director, Health Professions Clinical Education Unit Email: l.mckenna@latrobe.edu.au  Recruitment Enquiries: recruitment@latrobe.edu.au Only candidates with Full Working Rights in Australia may apply for this position. Please submit an online application ONLY and include the following documents: An up to date resume; and A Cover Letter; and A separate document responding to ALL Essential Criteria located in the Position Description Please scroll down to apply. Aboriginal and Torres Strait Islander Applicants  We welcome and strongly encourage applications from Aboriginal and Torres Strait Islander people.  La Trobe University is committed to creating a diverse and inclusive workforce. We take an intersectional approach by actively supporting and encouraging people of all backgrounds and abilities to submit an application and aim to ensure that the recruitment and employee experience is as accessible and inclusive as possible. Flexibility in interview format will be offered to shortlisted candidates. Working with Children Check All La Trobe University employees are bound by the Working with Children Act 2005.  If you are successful, you will be required to hold a valid Victorian Employee Working with Children Check prior to commencement. National Code on Gender Based Violence in Higher Education La Trobe University is committed to upholding the National Code to Prevent and Respond to Gender-Based Violence (GBV Code). This aligns with our mission to create safe and respectful communities. Candidates will be asked during the recruitment process to declare whether they have ever been investigated for, or found to have engaged in, gender-based violence in previous employment and/or in legal proceedings and provide relevant information to assist in determining suitability. Gender-based violence means any form of physical or non-physical violence, harassment, abuse or threats based on gender, that results in, or is likely to result in harm, coercion, control, fear or deprivation liberty or autonomy.  Why La Trobe:  Develop your career at an innovative, global university where you’ll collaborate with community and industry to create impact.  Enjoy working on our inspiring and stunning campuses – the perfect hub for industry, students and academics  Help transform the lives of students, partners and communities now and in the future La Trobe’s Cultural Qualities:

Full‑time, ongoing Academic Level A position. Based at Parramatta or Kingswood campus with flexible working options. Salary $95,248 – $115,074 per annum, plus 17% Super and Leave Loading. Contribute to innovative ICT education and emerging research at Western. The Opportunity We are seeking an innovative and collaborative Associate Lecturer to join our Computer Science and IT team. They will have responsibilities across undergraduate teaching, research and service. You will bring expertise in one or more of the relevant areas of contemporary computing, including cybersecurity, distributed systems, cloud and edge computing, software engineering, Internet of Things, computer graphics, and information systems. Key Responsibilities Prepare and deliver engaging, evidence-based, high-quality teaching to undergraduate students Contribute to the curriculum and subject coordination Undertake and contribute to research and publications in high quality journals Develop internal and external relationships to serve the university and community What Success Looks Like: Deliver high‑quality teaching using contemporary and evidence‑based pedagogies. Contribute to curriculum design, review, and improvement across Computer Science and IT programs. Develop a research trajectory that leads to outputs, partnerships, and future funding. Engage effectively with students, colleagues, and external partners. Participate actively in School, Faculty and University initiatives. Please refer to the Position Description for full details. About You A PhD or equivalent in the area of Computer Science, Information and Communications Technology or related fields, preferably with specialisation in cybersecurity, distributed systems, cloud and edge computing, software engineering, Internet of Things, computer graphics, or information systems. Ability to contribute to teaching in areas relevant to occupational therapy such as disability, mental health, aged care, and/or rehabilitation Teaching experience in tertiary and/or practice settings A developing research profile with potential to supervise honours and HDR students Strong communications skills and ability to work collaboratively in teams Benefits We invest in the people who make our mission possible. Beyond a rewarding career, we offer a suite of benefits designed to support your physical, financial, and family wellbeing: Fitness Passport: Access hundreds of gyms and pools across the state. Onsite Childcare: Convenient facilities with exclusive staff discounts and salary packaging options. Financial Benefits: Salary sacrifice options for onsite parking and novated motor vehicle leasing, ​​​​​​​Holistic Support: Free Employee Assistance Program (EAP) along with discounted retail and private health cover. Application Details Position Enquiries: Direct to Head of Discipline, Computer Science and IT, A/Prof Rodrigo N. Calheiros r.calheiros@westernsydney.edu.au (REF1074S) Closing Date: 11:59pm, 11:59pm, Wednesday 25 March Working Rights: You must provide evidence of full-time working rights in Australia at application. ​​​​​​​How to Apply: Please note that only applications submitted via the University’s online recruitment system will be considered. Belonging at Western We are committed to substantive equality as outlined in our Equal Opportunity Policy. We actively encourage applications from Indigenous Australians, candidates of all gender identities and expressions, people of all abilities, and those from culturally and linguistically diverse backgrounds. For Reasonable Adjustments during the application process, please contact talentacquisitionteam@westernsydney.edu.au. About Western This is your opportunity to be part of something bigger. By joining Western Sydney University, you become a valued member of our community. As our region changes, so too does our university. Western is boldly different, energetic, global, diverse, dynamic, and youthful. Our mission is to deliver student success, impactful research, and stronger communities. As part of our team, you will have a stake in shaping the future of education, broadening horizons, and changing lives. Making a difference starts at Western. For the latest please visit our website and LinkedIn.

The University of Vienna is a community of almost 11,000 individuals, including approximately 7,700 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a/an University assistant predoctoral - PhD Position in Graph Learning 39 Faculty of Computer Science Startdate: 01.05.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.04.2029 Reference no.: 5311 Your responsibilities: As a University assistant, you will contribute to the work group Machine Learning with Graphs led by Prof. Nils M. Kriege. Our research focuses on the development of new methods and learning algorithms for structured data. Graphs and networks are ubiquitous in various domains from chem- and bioinformatics to computer vision and social network analysis. Machine learning with graphs aims at exploiting the potential of the growing amount of structured data in all these areas to automate, accelerate and improve decision making. Analysing graph data requires solving problems at the boundaries of machine learning, graph theory, and algorithmics. Your future tasks: You actively participate in research, teaching & administration, which means: You are involved in research projects in the area of graph learning. You are working on scientific articles to publish your research results. You attend scientific conferences to present your research. We expect you to finalize your dissertation agreement within 12 months. You work on your dissertation and its completion. You contribute to courses independently within the scope of the provisions of the collective bargaining agreement. You take on administrative tasks in research, teaching and administration. Your research should be situated in the field of machine learning with graphs and may address both theoretical and practical questions. The aim is to analyse and develop new, well-founded methods and learning algorithms that extend the boundaries of existing techniques - for example, with respect to expressivity, generalization, interpretability, or scalability. This is part of your personality: Completed Master's degree or Diploma, in the field of computer science or a related field (Applications from candidates who are close to completing their studies are welcome; hiring can only take place once the Master’s/Diploma degree has been completed.) Solid background or strong interest in machine learning, graph theory, and their mathematical foundations. Solid programming skills Experience with machine learning libraries or willingness to acquire Excellent command of English Ability to work in a team Desireable qualifications: Basic experience in research methods and academic writing Teaching experience 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 base salary is EUR 3.776,10 (full-time employement basis; 14 payments per year); it increases if we can credit professional experience. Tenure: The employment duration is 3 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 3 years if the employer does not terminate it within the first 12 months by submitting a declaration of non-extension. With appropriate work progress, an extension to a total maximum of 4 years is possible. Application documents: Academic curriculum vitae  Letter of Motivation including ideas for a prospective doctoral project Abstract of master´s thesis Master´s Degree / Diploma certificates Transcript of records List of publications, evidence of teaching experience (if available) If you have any questions, please contact: Nils Morten Kriege nils.kriege@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: 03/26/2026 Prae Doc