Riga Stradiņš University

Classification: Senior Manager 3 (Information Technology) Salary package: Competitive salary package plus 17% superannuation Terms: Full-time, Continuing Location: Canberra ACT Position Description and Selection Criteria: PD_PEWER_SM3_Associate Director, Digital Student Services.pdf The Position The Associate Director, Digital Student Services provides strategic and operational leadership for ANU student‑facing digital ecosystem. The role leads the design, delivery and continuous improvement of platforms that support the full student lifecycle, including learning, engagement and support services. As a member of the ITS Executive Leadership Team, the Associate Director sets the vision, strategy and roadmap for the Digital Student Services stream, translating university and business priorities into high‑value digital outcomes. The Person You are a senior digital leader with extensive experience working at the intersection of business, technology and education. You bring a strong understanding of agile ways of working, product and service management, and contemporary digital delivery practices. You are an experienced people leader who builds engaged, high‑performing teams through values‑based leadership, coaching and a commitment to psychological safety and continuous improvement. You are comfortable operating at executive level, influencing outcomes through clear communication, collaboration and evidence‑based decision‑making. You will also bring: Deep experience with learning, teaching and student systems in a complex organisation Strong financial and portfolio management capability with a focus on value realisation The ability to navigate change, set direction, and deliver outcomes in a large‑scale environment A commitment to equity, inclusion, work health and safety, and ethical leadership The Department Digital Student Services is a core stream within ITS, focused on delivering a connected, seamless and student‑centred digital experience. The stream works closely with colleges and service divisions to ensure that digital platforms support student success, innovation in teaching and learning, and the University’s mission to create national and global impact. The Division Information Technology Services (ITS) delivers the digital solutions that enable ANU to achieve its strategic ambitions in education and research. ITS is leading the University’s 10‑year Digital Plan, transforming the digital experience for students and staff through modern platforms, trusted services and strategic partnerships. For further information please contact, Sajid Hassan, Interim Chief Information Officer E: sajid.hassan@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 people of all backgrounds and identities. For more information about staff equity at ANU, click here. For enquiries about the application process, or if you require reasonable adjustment to apply for this role, please contact the hiring manager on the above listed details. 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 21 June 2026, 11.55pm (Canberra time)

Lead education strategy and transformation across RMIT's largest College. Shape high-quality, contemporary and industry-relevant STEM education across Australia and RMIT's global footprint. Full-time, 5-year fixed-term executive appointment, with an underlying ongoing Academic Level E position in the College. About the role This is a rare opportunity to shape the future of STEM education at scale. As the Associate Deputy Vice-Chancellor Education, you will lead education strategy and transformation across RMIT's largest College, based at RMIT's Melbourne CBD campus, working with senior academic leaders to strengthen learning innovation, student experience, academic quality and globally relevant program delivery. The role sits at the intersection of College and University strategy. You will contextualise and implement RMIT's broader Education Strategy within the STEM College; while also ensuring the College's priorities, opportunities and challenges shape the University's future education agenda. The successful candidate will bring the academic credibility, strategic judgement and leadership maturity to build trusted influence across Schools, develop a high-performing Education portfolio, and drive meaningful improvement in the quality, relevance and impact of STEM education. Key priorities Lead the development and implementation of the STEM College education strategy, aligned to RMIT's broader Education Strategy and strategic plans. Strengthen academic quality, program relevance, viability and student experience across all modes and locations of delivery. Provide leadership to Schools in program design, development, renewal and delivery, ensuring programs are informed by international best practice, industry needs and workforce trends. Drive innovation in learning and teaching, including digitally enabled education, AI literacy, contemporary assessment practice, academic integrity and future-focused pedagogy. Lead education governance and quality assurance across the College, ensuring alignment with accreditation, regulatory and Academic Board requirements. Work collaboratively across RMIT's global footprint to understand and translate emerging global, sectoral and market trends into strategic priorities that enhance program relevance, competitiveness and future readiness whilst ensuring equivalence and comparability. Build capability and support a high-performance learning and teaching culture across academic and professional teams. Contribute to data-informed academic portfolio planning, including program size and shape, pathways, relevance, viability and student demand. To be successful in this role, you will bring: An established academic career at Professor / Level E, with a PhD in a discipline relevant to STEM. Significant senior academic leadership experience, including leading change initiatives that improve learning, teaching, quality and student outcomes. Demonstrated ability to shape and deliver education strategy in a complex university environment. Deep knowledge of contemporary national and international developments in learning and teaching, including online, blended, digital and technology-enabled education. Proven experience leading learning transformation through digital innovation at scale, including contemporary assessment and/or AI-enabled education practice. Experience developing innovative, globally relevant programs and delivery models across undergraduate and postgraduate education. Strong understanding of academic governance, accreditation, regulatory requirements, academic integrity and quality assurance. Proven capability to lead across complex stakeholder environments, including Schools, Colleges, portfolios, international entities and external partners. A collegial but decisive leadership style, with the ability to influence, align and mobilise academic and professional staff. Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. About the STEM College The STEM College holds a leading position and expertise in the science, technology, engineering, mathematics and health fields. We are uniquely positioned to influence and partner with industry as never before. STEM College is a community of exceptional STEM researchers, teachers, inventors, designers and game changers, supported by talented professional staff. We offer higher education programs across all STEM disciplines at the Bachelor, Master and PhD levels, ensuring our students experience an education that is work-aligned and life-changing. The College is renowned for its exemplary research in areas including advanced manufacturing, composites, bio fabrication and design; AI and computing technologies; health innovation, MedTech, and translational medicine; nano materials, point of care diagnostics and sensor technologies; and clean energy and sustainable systems. Industry is at the heart of what we do. It ensures our research has real-world impact, and our students are truly career ready. In STEM we CARE - Collaboration, Accountability, Respect & Empowerment. Our diversity and shared values empower our work, and we are proud of the College's inclusive, caring culture To Apply Please submit a maximum five-page CV and maximum four-page covering letter addressing your interest and suitability for this position by clicking the 'Apply' link at the top of this page. For further information about this position, please see the Position Description or contact Ben Cass, Executive Recruitment Manager via email ben.cass@rmit.edu.au for a confidential discussion. Applications close on the 28th of June at 11.59pm. About RMIT University RMIT is a multi-sector university of technology, design and enterprise with more than 96,000 students and close to 10,000 staff globally. The University's mission is to help shape the world through research, innovation and engagement, and to create transformative experiences for students to prepare them for life and work. https://www.rmit.edu.au/about https://www.universitiesaustralia.edu.au/university/rmit-university Why work at RMIT University Our people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. Find out more about working at RMIT University, what we stand for and why we are an Employer of Choice. We want to attract those who will make a difference. View RMIT's impressive standings in university rankings. https://www.rmit.edu.au/about/facts-figures/reputation-and-rankings Bring Your Whole Self to Work We are better for our diversity. When we listen to those who are different to us, or challenge us, we grow stronger together. When we feel like we belong, we can achieve so much more. We respect each other, embrace our differences and build a sense of belonging in our team and beyond. We are proud that our dedication to diversity has been recognised by a broad spectrum of external organisations. Visit our Linkedin Life pages to learn more and see some of our most recent wins. RMIT has a strong dhumbali (commitment) to the employment, development and retention of Aboriginal and Torres Strait Islander people within a culturally safe environment; we strongly encourage applications from Aboriginal and Torres Strait Islander peoples. At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT. To discuss adjustment requirements, please contact Dani (Senior Talent Advisor), via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community. In line with RMIT University's commitment to a safe, respectful and inclusive environment, from 1 January 2026, the University will also consider gender-based violence (GBV) risk factors as part of our recruitment processes.All applicants will be required to complete a gender based violence declaration in accordance with the National Higher Education Code to Prevent and Respond to Gender-based Violence.Preferred candidates will also be required to undertake relevant pre employment background checks, including Working With Children Checks. Information provided will be treated confidentially and considered only for its relevance to the role and RMIT's safety obligations. We are a Circle Back Initiative Employer - we commit to respond to every applicant.

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? To strengthen our team, we are seeking a university assistant to develop advanced machine learning and artificial intelligence methods. University assistant predoctoral - PhD position in Probabilistic and Interactive Machine Learning 39 Faculty of Computer Science Startdate: 01.10.2026 | Working hours: 30 | Collective bargaining agreement: §48 VwGr. B1 Grundstufe (praedoc) Limited until: 30.09.2030 Reference no.: 5376 Your personal sphere of influence: The working group “Probabilistic and Interactive Machine Learning” within the research group “Data Mining and Machine Learning” at the Faculty of Computer Science, led by Prof. Sebastian Tschiatschek, develops foundational methods in machine learning and artificial intelligence. We focus particularly on the areas of reinforcement learning, interactive learning, and deep probabilistic models. While modern reinforcement learning (RL) has achieved remarkable success, it remains limited when applied to complex, open-ended, or poorly defined environments. Two of the most critical bottlenecks in contemporary AI are sample inefficiency, often caused by the lack of intelligent, structured exploration, and the "reward engineering" problem, where designing an explicit scalar reward function that captures desired behavior is incredibly difficult or impossible. Furthermore, as AI systems are deployed in more complex environments, the challenges of AI alignment (ensuring systems behave according to human preferences) and constrained learning (adhering to strict safety, legal, or physical boundaries) become important. This position is dedicated to addressing these core challenges by advancing the frontiers of Inverse Reinforcement Learning (IRL), exploration, and safe/aligned AI.                       Your future tasks: You actively participate in research, teaching & administration, which means: You will contribute to academic research projects in the above-mentioned areas. You will work on scientific articles and publish your research results. You will participate in academic conferences to present your research. We expect you to conclude your dissertation agreement within 12 months. You will work on your dissertation and bring it to completion. You will take on teaching responsibilities as specified by the collective agreement. You will support the supervision of students’ projects and theses. You will undertake administrative duties in research, teaching, and university administration, and support the organization of workshops, conferences, and symposia. This is part of your personality: Completed Master's degree (or comparable degree) in computer science, data science, mathematics, communication engineering, or a related field (Applications from candidates close to completion are welcome. Employment can only begin once the Master´s degree has been awarded.) Excellent command of English Outstanding written and oral communication skills Strong ability to collaborate within research teams Perseverance and a proven ability to bring projects to reliable completion High motivation and commitment to scientific excellence Willingness to travel, including participation in national and international conferences Solid knowledge of machine learning and artificial intelligence (in particular in the areas of bandits and reinforcement learning) Strong programming skills, preferably in Python. Experience with deep learning frameworks such as Jax, PyTorch, or TensorFlow. Excellent analytical skills and strong interest in developing a deep understanding of algorithms and methods Cooperative, team-oriented, and proactive working style The following are also desirable: Experience with research methods in the field of machine learning and artificial intelligence, as well as scientific writing Excellent academic record, ideally with initial research results in the area of the position, documented by publications or manuscripts in preparation Experience in university teaching International 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 basic salary of EUR 3.776,10 (on a full-time basis) increases if we can credit professional experience. Tenure: The employment duration is 4 years. Initially limited to 1.5 years, the employment relationship is automatically extended to 4 years if the employer does not terminate it within the first 12 months by submitting a non-extension declaration. It is that easy to apply: Academic curriculum vitae  Letter of motivation including your project ideas (and description of your teaching experience, if available) Abstract of Master´s Thesis Degree certificates Transcript of records List of publications, evidence of teaching experience (if available) If you have any 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: 06/06/2026 Prae Doc