University of Ottawa

Schwarzman Scholars invites nominations and applications for the position of Chief Student Affairs Officer (CSAO). The CSAO serves as the senior student affairs leader for Schwarzman Scholars and Schwarzman College at Tsinghua University and plays a central role in shaping the lived experience, culture, and leadership development of one of the world’s most distinctive postgraduate communities. Reporting jointly to the Executive Director of Schwarzman Scholars (New York) and the Dean of Schwarzman College (Beijing), the CSAO is a member of the senior leadership teams of both Schwarzman College and the Stephen A. Schwarzman Education Foundation. The CSAO is the senior-most Foundation employee based in China and resides on site at Schwarzman College in Beijing. The role has responsibility for the student experience—residential life, wellbeing, community standards, leadership development, and co-curricular programming—for a globally diverse cohort of up to 150 Scholars each year. Founded in 2013 through a partnership between Stephen A. Schwarzman and Tsinghua University, Schwarzman Scholars is a fully funded, one-year master’s degree program in global affairs designed to prepare the next generation of global leaders. The program offers a dynamic curriculum grounded in the pillars of China, leadership, and global affairs, with learning opportunities in and beyond the classroom, including leadership training, senior mentors, high-level interactions with Chinese leaders and visiting speakers, career development guidance, and Deep Dive trips across China. Each year, 150 Scholars from a wide range of geographies, industries, and academic backgrounds are selected from a highly competitive global applicant pool (approximately 5% admit rate). Our growing global network of dynamic leaders who work collaboratively across time zones, across borders and across disciplines now includes over 1,500 members from 107 countries and 490 institutions worldwide. In conjunction with a world-class academic curriculum delivered by Tsinghua University and global visiting faculty, the student life experience is the anchor of the Schwarzman Scholars program—where leadership is practiced, community is built, and global perspectives are tested in real time. The CSAO is responsible for designing, leading, and continuously developing a student life program that is intellectually ambitious, culturally grounded, and deeply human, ensuring that leadership development is practiced daily through residential life, dialogue, community norms, and shared responsibility in a fully residential environment. This is a high-touch, high-expectation role requiring daily presence in the life of the College, close partnership with Chinese counterparts, and the ability to lead with judgment, nuance, and cultural fluency. Given the scale of the program, the CSAO must be comfortable operating as both strategist and doer—moving seamlessly from executive-level discussions to direct engagement with students. The CSAO leads a small, highly engaged team in Beijing and works closely with colleagues in New York. Importantly, the CSAO serves as a trusted institutional connector—linking students, academic leadership, and Foundation partners across Beijing and New York, and helping translate values, expectations, and norms across cultural and institutional contexts. With students in residence for only one year, the CSAO plays a critical role in creating continuity, traditions, and shared values that sustain the program’s identity across cohorts. The role requires the ability to anticipate and navigate sensitive issues in a complex geopolitical environment in ways that prioritize learning, reflection, and growth. The successful candidate will bring significant leadership experience in student affairs, residential education, or closely related fields, ideally in highly selective or mission-driven environments. The CSAO will be a builder—someone energized by creating programs, culture, and systems rather than simply maintaining them—and will bring substantial experience living and working outside their home country. Strong cultural intelligence, comfort operating as a generalist across student life functions, and a genuine love of working closely with students are essential. Mandarin Chinese language ability is helpful but not required. As an employee of both the Stephen A. Schwarzman Education Foundation and Tsinghua University, this position comes with a competitive salary, a fully furnished apartment and meal plan at Schwarzman College, and a comprehensive benefits package. For further information, to submit recommendations, or to express interest, please contact: SchwarzmanCSAO@russellreynolds.com.

The Role and Department Research and Innovation Services (RIS) provides guidance, expert advice and hands-on support for all aspects of research and research-related work, including securing funding, working with partners, undertaking knowledge exchange, demonstrating impact, commercialising outputs, ensuring good research practice and supporting professional development. As a Research Systems and Information Manager you will be our research systems subject matter expert. You will provide specialist advice and guidance in relation to both the implementation of new research systems and additional functionality to our existing systems (Worktribe Research Management, Infonetica Ethics RM, and Dynamics CRM) as well as any business as usual activities and system improvements. You will be responsible for ensuring our research systems are configured in the most optimal and user-friendly way and that any associated training and communications will be delivered in a clear, concise and timely manner. You verify and authorise any work undertaken in the systems space by any other Systems team member. You will be responsible for delivering key reporting from research systems to enable strategic decision-making, including using tools such as PowerBI as well as in-system reporting tools. You will lead on requirements-gathering for reports, liaise with report stakeholders, and collaborate with other key departments in providing reports, such as the Strategic Planning and Insight Office. You will report to the Senior Manager - Research Systems and Reporting but will work closely with colleagues across the Research and Innovation Services Directorate as well as colleagues in faculties, departments and across professional support services. You will be a part of an enthusiastic team that is known for delivering transformational change. You will also be a key contact to a number of external system suppliers. The Research Systems and Information Manager is an extremely strong problem-solver with excellent communication skills. You as the Research Systems and Information Manager will act as an escalation point for cases where local system knowledge is not sufficient. If cases need to be escalated further, you will be leading on the work liaising with the appropriate internal and external stakeholders. It is essential that the Research Systems and Information Manager is highly organised and pays close attention to detail. The capability to prioritise and manage a busy and varied workload is crucial. The ability to work across business as usual activities and a number of concurrent projects at different stages of development is essential. This role is suitable for hybrid working, and office days are based at our exciting new professional services hub based at Boldon House. Boldon House is situated on the outskirts of Durham near the Arnison Centre in Pity Me. Boldon House brings a number of professional services teams together in a vibrant office environment which supports collaborative working and is designed to embrace hybrid working. Further information about the role and the responsibilities is at the bottom of this job description.

Scope of Position: Duke-NUS Medical School invites applications for a full-time Assistant/Associate Professor in AI for Medical Education within the Office of Education. This innovative role will apply Artificial Intelligence technologies and approaches to support and enhance educational delivery, assessment, and learning experiences, while also contributing to curriculum development that prepares future physicians to practice effectively in an AI-enhanced healthcare environment. Working in close partnership with MD curriculum leadership, teams, faculty, administrators, and students, the successful applicant will co-lead and support initiatives to develop and integrate AI-powered educational tools across our MD curriculum, conduct research on AI applications in medical education, and design and deliver an AI literacy curriculum. This position represents a unique opportunity to shape the future of medical education at the intersection of technology and healthcare. The successful applicant will be eligible for faculty appointment at the Assistant Professor or Associate Professor level at Duke-NUS; rank will be commensurate with experience, achievement and recognition. The postholder will collaborate with clinician educators and scientists across all health professions and disciplines in the SingHealth Duke-NUS Academic Medical Centre. Roles and Responsibilities: Partner with curriculum teams to design, implement, and evaluate AI-powered educational tools such as intelligent tutoring systems, adaptive learning platforms, virtual patient simulations, etc Develop AI applications for personalized learning experiences that respond to individual student needs and learning patterns Support the development and deployment of AI-driven assessment systems that provide automated feedback, performance analytics, and competency evaluation Conduct original research on the effectiveness of AI applications in medical education Publish findings in peer-reviewed journals and present at national and international conferences Secure internal and external funding to support AI-driven educational innovation projects Collaborate with Education and IT teams to support learning analytics and educational data management throughout the School Contribute to the development and delivery of AI literacy curriculum for medical students Conduct workshops and training sessions for faculty on both using AI tools and teaching about AI Mentor students, health care educators and investigators interested in Artificial Intelligence for medical education Participate in the general teaching, service and administrative responsibilities of the Office of Education as determined by their Reporting Officer Develop strong working relationships with collaborators both within Duke-NUS and the wider SingHealth Duke-NUS Academic Medical Centre Appropriate duties as assigned by reporting officer Requirements Education: Doctoral degree in Computer Science, Biomedical Informatics, Data Science, Artificial Intelligence, Machine Learning, Educational Technology, or closely related field Postdoctoral training or previous faculty appointment in Artificial Intelligence, Medical Education, Educational Technology or other relevant area is desirable but not essential   Technical Expertise: Demonstrated expertise in Artificial Intelligence and Machine Learning methods and their practical application Strong programming skills (Python, R, or similar languages) used in AI and data science development Experience developing, training, and deploying AI/ML models using modern frameworks and tools.   Knowledge of relevant AI domains such as Natural Language Processing, Computer Vision, and/or multimodal learning Familiarity with learning analytics, data management and educational/healthcare data environments Understanding of learning management systems or digital learning platforms is advantageous Experience: Minimum 3 years of experience in the development and practical use of AI/ML applications in educational contexts, healthcare settings or other relevant domains Experience with learning analytics and educational data mining Experience with human-centred design and user experience research Demonstrable commitment to research and scholarship. For example, research productivity, preferably in a higher education institute, healthcare organization or medical education setting; grant funded research as Principal Investigator or lead; peer reviewed research publications; visiting appointments; advisory roles; consultancy; other evidence of scholarly activities; knowledge creation, synthesis, application and dissemination Competencies: Knowledge of ethical considerations in AI, including bias, fairness, and privacy Exceptional time management, organizational skills and the ability to work on multiple projects simultaneously and meet project deadlines Accessible, calm, flexible, and mature individual with superlative interpersonal skills that permit him/her to work independently as well as in a team environment, to establish credibility with staff at all levels and of different disciplines and backgrounds, and to be persuasive in both one-to-one and group settings Commitment to maintain confidentiality and exercise discretion in sharing of information. Excellent written and verbal communication and presentation skills with ability to explain technical concepts to non-technical audiences Ability to translate Artificial Intelligence / Machine Learning techniques and Data Analytics approaches to medical education and practice Ability to mentor students and faculty in scholarship within the domain of Artificial Intelligence for medical education All applications including a letter of interest and a curriculum vitae should be submitted online. Informal enquiries are welcome and should be directed to Prof Fernando Bello (f.bello@duke-nus.edu.sg). We regret that only shortlisted candidates will be notified