Nelson Mandela University

Edith Cowan University (ECU) is seeking an outstanding executive leader to take on the role of Vice-President (Corporate Services). This is a pivotal appointment that will shape the operational backbone of the university during a defining period of growth, investment, and transformation. This role offers a rare opportunity to lead ECU's corporate and enabling services portfolio at a defining moment for the university. With the recent opening of ECU City, a landmark inner-city campus that is reshaping higher education in Western Australia, the institution is moving into a critical phase of consolidation, optimisation, and value realisation. As Vice-President (Corporate Services), you will play a central role in embedding this new operating footprint, ensuring the financial, digital, and physical foundations are in place to sustain ECU's momentum and deliver on its long-term strategic ambitions. Reporting directly to the Vice-Chancellor, the Vice-President (Corporate Services) is responsible for leading a diverse and high-impact portfolio that includes Finance, Digital Services, Campus Environments, and the University Project Management Office. You will lead a team of senior executives, including the Chief Financial Officer, Chief Information Officer, Director of Campus Environments, and Director of the University Project Management Office and work collaboratively across the institution to ensure that ECU's corporate services enable academic excellence, operational performance, and long-term financial sustainability. This is a role for a strategic and transformational leader who is energised by complexity and motivated by impact. You will be responsible for shaping institutional strategy as a member of the University's Executive Leadership Team, driving enterprise-wide digital transformation and cyber security maturity, overseeing major capital works and sustainability initiatives, and embedding a scalable, customer-focused corporate services model across the university. You will also lead significant organisational and operational change, ensuring integration across portfolio functions and alignment to ECU's strategic priorities, while maintaining robust governance, risk, and compliance frameworks. The successful candidate will bring significant senior leadership experience from large, complex organisations, ideally with exposure to higher education, government, or other regulated environments. You will have a strong track record in financial strategy and resource allocation, alongside demonstrated experience leading digital transformation, enterprise systems, or major infrastructure programs at scale. Your ability to lead through change, build trusted partnerships with executive peers and governing bodies, and develop high-performing teams will be essential to your success in this role. At ECU, our values of Integrity, Respect, Rational Inquiry, Personal Excellence, and Courage are at the heart of everything we do. We are committed to creating an inclusive and forward-thinking environment where leadership is bold, collaboration is valued, and innovation is embraced. For further information and to apply, please submit a CV and covering letter, detailing how you fulfill the role description and personal specification to https://PLusPortal.PerrettLaver.com quoting reference 8479. The deadline for applications is 9am AWST, Friday 3rd July. For a conversation in confidence please contact Claudia Roth: Claudia.Roth@perrettlaver.com  Perrett Laver will conduct an executive search process in parallel with the public advertisement of the role. If you require any reasonable adjustments to assist you in the selection process, please advise us of these so that we can make appropriate arrangements. Perrett Laver’s Data Protection Policy  Protecting your personal data is of the utmost importance to Perrett Laver and we take this responsibility very seriously. Any information obtained by our trading divisions is held and processed in accordance with the relevant data protection legislation. The data you provide us with is securely stored on our computerised database and transferred to our clients for the purposes of presenting you as a candidate and/or considering your suitability for a role you have registered interest in. Perrett Laver is a Data Controller and a Data Processor, and our legal basis for processing your personal data is ‘Legitimate Interests’. You have the right to object to us processing your data in this way. For more information about this, your rights, and our approach to Data Protection and Privacy, please see our Privacy Statement.

City University of Hong Kong (CityUHK) is one of the world’s leading universities, known for innovation, creativity and research. We are now seeking exceptional scholars to join us as Assistant Professors/Associate Professors/Professors/Chair Professors (on substantiation-track) in all academic fields with special focuses on One Health, Digital Society, Smart City, Matter, Brain, and related interdisciplinary areas. Research fields of particular interest include, but not limited to: biomedical science and engineering veterinary science computer science and data science neuroscience and neural engineering bio-statistics and AI-healthcare smart/semi-conductor manufacturing AI/robotics/autonomous systems aerospace and microelectronics engineering energy generation and storage digital business and innovation management fintech and business analytics computational social sciences digital humanities digital and new media law and technology private law healthy, smart and sustainable cities Successful candidates should have a demonstrated ability to build a world-class research programme related to CityUHK’s strategic research areas, plus a commitment to education and student mentorship. Candidates must possess a doctorate in their respective field by the time of appointment. Please visit Colleges, Schools and Departments in CityUHK at https://www.cityu.edu.hk/academic/colleges-schools-and-departments City University of Hong Kong is an equal opportunity employer. We are committed to the principle of diversity. Personal data provided by applicants will be used for recruitment and other employment-related purposes. Best Global Universities Rankings #54 (U.S.News & World Report 2025-2026); World University Rankings #73 (THE 2026); #1 in the World’s Most International Universities (THE 2024, 2025 & 2026); Young University Rankings #4 (THE 2024); Asia University Rankings #14 (THE 2026) and #7 (QS 2026)

The BRIDGE-AI doctoral network is hiring ambitious doctoral candidates at various locations in Europe (Finland, the Netherlands, Belgium, Germany, Switzerland and Austria). We are currently inviting applications for the last 3 open PhD positions, located in Germany and Finland  The aim of the network is to develop new and trustworthy AI methods for longitudinal neuroimage analysis, helping clinical experts assess temporal changes in patients with chronic brain disorders. Find more information about the project and each of the available position at each institute detailed at the BRIDGE-AI website. Please see also Frequently asked questions page as well as Recruitment privacy notice page. We offer: A unique and stimulating environment to work on cutting-edge AI method development for computational brain imaging, with ample opportunities for collaborating closely with expert clinicians and world-leading companies in the medical imaging domain. You will be co-supervised by a multidisciplinary team, receiving valuable input from industry, academia, and hospitals alike. A dedicated PhD training program with high-profile invited lecturers, combining both science-based and transferable skills training, with attention to your future career development. All BRIDGE-AI’s doctoral candidates will convene on regular intervals for training events organized in Helsinki (FI), Leuven (BE), Lausanne (CH), Bern (CH), Vienna (AT) and Eindhoven (NL). Access to large collections of clinical neuroimaging data and expert guidance (including through extensive international research visits) for evaluating the true clinical relevance and impact of the AI tools you will be developing. Full-time employment on the BRIDGE-AI project with competitive remuneration for three years. Depending on the host organization, subsequent funding needed to finalize your PhD thesis may be available. Your profile: A MSc degree in physics, computer science, electrical engineering or a similar degree. Candidates who expect to obtain their MSc degree in the near future are also welcome to apply. A strong interest in both new AI method development and the real-world clinical context in which AI methods need to operate. Able to work in an interdisciplinary team and interested in collaborating with clinical partners. A high level of perseverance. Strong programming skills in e.g., Python/NumPy, PyTorch or C++. Excellent communication skills in English (both oral and written). An eagerness to travel within Europe. Other prerequisites: Applicants can be of any nationality, but must not have resided or carried out their main activity (work, studies, etc.) in the country of employment for more than 12 months in the 36 months immediately before their date of recruitment. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account. At the date of the recruitment, applicants can not already be in possession of a doctoral degree. Researchers who have successfully defended their doctoral thesis but who have not yet formally been awarded the doctoral degree are also not eligible. Successful applicants will need to enroll in a doctoral program at the PhD awarding institution associated with each position. Therefore, eligibility requirements (e.g., relevant MSc degree, language proficiency, …) for the relevant institution need to be fulfilled. Please see the FAQ page for institution-specific requirements. To apply: Applications can only be submitted through Aalto University’s online job platform until 30 June 2026 at 23:59 Finnish time (GMT +2), or until all positions have been filled (whichever comes first). Screening and filling of the positions will start as soon as applications are received. Therefore, it is recommended to apply as early as possible. We strive to ensure diversity and gender equality in the BRIDGE-AI network through an open, transparent, and merit-based recruitment. Women and others underrepresented in the field of computational neuroimaging are particularly encouraged to apply. In order to apply, you should include: (1) a cover letter explaining your motivation for applying; (2) your CV; (3) relevant transcripts of studies and certificates of your degrees; and (4) the names and contact information of at least two professional references who may be contacted regarding your application. You should indicate which position(s) you are applying to (maximum 3), and indicate the order of preference within the selected positions (1 = highest preference). Available positions on this page Open PhD positions - Bridge-AI. We reserve the right to leave positions open, to extend the application period, and to reopen the application process. For more information about the application and selection procedure, please see the FAQ page. More about Aalto University: Aalto.fi youtube.com/user/aaltouniversity linkedin.com/school/aalto-university/ www.facebook.com/aaltouniversity instagram.com/aaltouniversity To view information about Workday Accessibility, please click here. Please see more of our Open Positions here.