Teesside University

The University of Limassol (UoL) is a dynamic and forward-looking institution committed to excellence in education, research, innovation, and community engagement. As part of its strategic expansion, the University is establishing its School of Dentistry and invites applications for the position of Director of the Bachelor of Dental Surgery (BDS) programme. As the School develops its foundational academic offerings, we are seeking a dedicated and experienced academic to lead the management, delivery, and quality assurance of the undergraduate dental programme. The Director will play a key role in ensuring that the BDS programme delivers a rigorous, integrated educational experience combining theoretical knowledge with high-level clinical competence. Key Responsibilities Program Management: Oversee the day-to-day academic and administrative operations of the Bachelor of Dental Surgery program, ensuring effective curriculum delivery and alignment with international standards. Quality Assurance: Lead program evaluation and continuous improvement processes, ensuring compliance with accreditation requirements. Clinical Training Coordination: Work closely with clinical leads to ensure that student rotations and practical training meet all safety, ethical, and professional requirements. Student Progression & Support: Monitor student performance and provide academic guidance and mentorship to support successful outcomes. Research & Scholarly Activity: Maintain an active research profile and contribute to the School’s research output, while fostering student engagement in research. Essential Qualifications Academic Credentials: Bachelor’s degree in Dentistry and a Doctoral degree (PhD or equivalent) in Dental Sciences or a closely related medical discipline. The candidate must hold the rank of Assistant or Associate Professor. Research Portfolio: A solid record of research and publications, demonstrating a commitment to advancing the field of dental sciences. Educational Leadership Experience: Experience in programme management and undergraduate teaching within a dental education environment. Teaching & Mentorship: Demonstrated excellence in undergraduate and postgraduate teaching and mentoring of students. Applications The University of Limassol is committed to academic excellence and equal opportunity. All applications will be treated with strict confidentiality. Only shortlisted candidates will be contacted. To apply, please submit the following documents: Detailed curriculum vitae (CV) Five-year research plan List of publications Two letters of recommendation from senior academics or professional supervisors, supporting the candidate’s academic qualifications, research profile, and leadership experience. Deadline: Applications must be submitted by 28 June 2026 Remuneration Package The University of Limassol offers a highly competitive remuneration package commensurate with the successful candidate’s qualifications, experience, and academic standing. Enquiries For further information regarding the position, prospective candidates are invited to contact: hr@uol.ac.cy

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

Full-time, Continuing position Salary Level HEW 7 + 17% Superannuation Based at the Melbourne CBD campus, and hybrid ways of working About the role As Coordinator, Inclusion, Diversity, Equity and Access, you will support the achievement of the aspirations and actions in the RMIT Inclusion, Diversity, Equity and Access Framework (IDEA Framework) by designing and delivering a number of projects and initiatives engaging collaboratively with a range of stakeholders. This role works to improve access and outcomes for student cohorts that are prioritised in government policy, the RMIT IDEA Framework, and the forthcoming RMIT Inclusive Access Plan. To be successful in this position, you will have: Demonstrated understanding of community diversity, with the proven capacity to draw upon related skills and expertise to develop and deliver programs that are targeted and responsive. Demonstrated ability to identify, develop, and deliver a range of innovative and effective programs. Proven experience identifying, developing and maintaining relationships for defined outcomes with a wide range of partners and collaborators, including internal and external stakeholders. Effective planning, organisational, and project management skills, including coordinating staff for the effective delivery of events and programs. High-level communication skills, including experience in the design and delivery of training and information resources, with the proven ability to liaise at all levels with a diverse group of people. Capacity to think and work innovatively, effectively and flexibly in a fluid multi-disciplinary team environment. Experience with program evaluation, data analysis, and implementing continuous improvement practices. Demonstrated commitment to the principles and practice of equity, diversity, inclusion, and reconciliation. Desirable: Experience in Australian tertiary education in a related role. We particularly encourage people with diverse lived experiences, identities and/or backgrounds to apply. Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. About the Group The Students group shapes, designs and delivers key student services and experiences to prepare RMIT students for study, life and the global workforce. We work in partnership with students, academics, professional staff, industry and the community to deliver transformative student experiences that improve access, participation, retention and success for all RMIT students. Our objectives are to: Shape, co-create and inform an inclusive, safe, industry-engaged and global student experience Deliver impactful, connected service, care and development opportunities at scale, and to Engage, empower and value each other so that together we can make a difference. We welcome a diversity of perspectives and are inclusive in our approach to work. We are aligned in our passion for having a collective and positive impact on the student experience at RMIT. Our team is comprised of talented and motivated people from a range of professional disciplines and backgrounds, at various stages of their careers and including RMIT students. We are a values-led organisation and we value imagination, agility, passion, inclusion, courage and impact. To Apply Please submit your CV and covering letter addressing your suitability for this position by clicking on the 'Apply' link at the top of this page. For further information about this position, please see the Position Description hyperlinked below or contact the Talent Team via email talentsupport@rmit.edu.au. Please do not send your application to this contact. Position Description - Coordinator, Inclusion, Diversity, Equity and Access Please note, if you are viewing this advert from an external site, please click 'apply' and you will be redirected to RMIT's Jobs website to access the Position Description at the bottom of the page. #Li-Hybrid