Johns Hopkins University

Play a pivotal role in shaping future pharmacists through innovative Work Integrated Learning (WIL) and clinical education. Join a leading Group of Eight university committed to excellence in teaching, research, and community impact. Full-time on a tenurable basis Base salary range: Level B, $118,150 – $139,812 p.a. plus 17% superannuation. About the area The School of Health and Clinical Sciences at The University of Western Australia (UWA) delivers high-quality, innovative education across a range of health disciplines. The School is committed to improving health outcomes through inclusive, culturally safe teaching, research, and community engagement. Within the School, the Department of Pharmacy delivers contemporary programs including the Doctor of Pharmacy (entry-to-practice) and postgraduate coursework in advanced pharmacy practice. The Department works collaboratively with healthcare professionals, industry partners, and the broader community to strengthen the pharmacy workforce and advance medicines optimisation through education and research. About the opportunity This is an exciting opportunity for an experienced pharmacist and educator to contribute to the delivery and continuous improvement of Work Integrated Learning (WIL) across the Doctor of Pharmacy program. You will play a key role in designing and coordinating high-quality clinical placements, ensuring students gain meaningful, diverse, and practice-ready experiences aligned with evolving scopes of practice and accreditation standards. In this role, you will: Deliver high-quality teaching and coordination of WIL units across undergraduate and postgraduate pharmacy programs Lead the design and continuous improvement of practice-based education, including innovative assessment methods such as Entrustable Professional Activities (EPAs) Develop and maintain strong partnerships with hospitals, community pharmacy, aged care, and primary care settings to support sustainable clinical placements Engage with industry preceptors and supervisors through training, support, and site engagement activities Contribute to curriculum development, quality assurance processes, and accreditation requirements (including APC standards) Support data-informed continuous improvement through analysis of student, supervisor, and placement outcomes Contribute to a collaborative academic environment through teaching, service, and professional engagement activities You will also support WIL delivery across practitioner development areas such as prescribing, advanced medicines management, and chronic disease education during peak periods. About you To be successful in this role, you will bring a strong combination of clinical expertise, teaching capability, and stakeholder engagement experience: A degree in Pharmacy with current unconditional registration with AHPRA, and a PhD (or equivalent professional standing) in a relevant discipline Demonstrated experience in teaching within health professional programs, including clinical education or Work Integrated Learning Experience designing and delivering practice-based assessments (e.g. EPAs or similar competency-based models) Proven ability to build and maintain partnerships with healthcare providers to support student placements and workforce development A commitment to inclusive, culturally safe teaching practices and a collaborative, team-oriented approach Note: Employment checks will include information on gender-based violence, sexual harassment, and related misconduct to meet legal obligations. A current National Police Clearance, Working with Children Check, and “C” class driver’s licence will be required by the successful applicant. Position description: PD - lecturer (Pharmacy) - 523650.pdf To learn more about this opportunity, please contact Liza Seubert at Liza.Seubert@uwa.edu.au How to apply Please apply online via the Apply Now button and address the selection criteria in your submission in a separate document. For information to assist you with compiling statements to answer the selection criteria, please visit Addressing the selection criteria. You may submit a statement describing any personal circumstances relevant to your application. This can include academic/professional interruptions or achievements relative to opportunity. Closing date: 11:55 PM AWST on Sunday 2 August 2026 This position is only open to applicants with relevant rights to work in Australia. Benefits (Unijobs Only) Flexible working options. Generous paid leave including parental leave. Up to 17% employer paid superannuation. Salary packaging available. Incremental progression based on 12 months continuous service. Up to 25% discount on eligible UWA full-fee courses. Discounted health insurance. Employee Assistance Program. About the University The University of Western Australia (UWA) is ranked among the top 100 universities in the world and a member of the prestigious Australian Group of Eight research intensive universities. With a strong research track record, vibrant campus and working environments, supported by the freedom to innovate and inspire, there is no better time to join Western Australia’s top university. Learn more about us. Our commitment to inclusion and diversity UWA is committed to a diverse workforce and an equitable and inclusive workplace. We are committed to fostering a safe environment for all, including Aboriginal and Torres Strait Islander people, women, those from culturally and linguistically diverse backgrounds, the LGBTIQA+ community, and people living with disability. If you require any reasonable adjustments, we encourage you to advise us at the time of application. Alternatively, you can contact us for assistance during the recruitment process. If you have queries relating to your application, please contact the individual named in the advertisement. Alternatively, please contact the Talent team at people@uwa.edu.au with details of your query. To enable a quick response, please include the 6-digit job reference number.

Lingnan University is one of the eight publicly funded institutions in the Hong Kong Special Administrative Region (HKSAR) of the People’s Republic of China (PRC) and has the longest established tradition among the local institutions of higher education. It is widely recognised for providing quality education with a focus on whole-person development and conducting high-impact research for a better world. Moving forward, Lingnan University is well positioned to take lead as a comprehensive university in arts and sciences in the digital era, with impactful research and innovations. Lingnan University offers undergraduate, taught postgraduate, and research postgraduate programmes in the Faculties of Arts, Business, Social Sciences, and the Schools of Data Science, Graduate Studies and Interdisciplinary Studies. To foster interdisciplinary collaboration and scientific progress, Lingnan University established the Lingnan University Institute for Advanced Study (LUIAS), attracting distinguished scholars from around the world to collaborate with its faculty and students. With traditional strengths in arts, business, social sciences, and interdisciplinary studies, the University aims to equip students with practical knowledge and critical thinking skills to thrive in the future. Subsequent to the establishment of the School of Data Science and LUIAS, Lingnan University is transforming into a hub for global leaders to develop and promote human-centric technology and social policies. Further information about Lingnan University is available at https://www.ln.edu.hk/. Applications are now invited for the following posts: Part-time Lecturer Centre for English and Additional Languages (Post Ref.: 25/305) The Centre for English and Additional Languages (CEAL) offers a range of core and elective courses in addition to co-curricular language activities in order to enhance English language proficiency and critical thinking of students, as well as to provide language support to help students succeed in their academic studies. The Centre is looking for part-time Academic English Language Lecturers to teach Academic English language courses at the undergraduate level. Applicants should have: (i) experience in teaching English at the university level (preferably to students in Hong Kong); (ii) at least a master's degree in English Language and Literature or a relevant field (PhD preferred); (iii) an English language teaching certificate (preferred); (iv) preferred expertise and interests include: delivering a foundational core course that strengthens students’ English proficiency and the academic skills needed for success in an English-medium university; delivering a course that develops written synthesis of academic sources, critical evaluation of arguments, seminar discussion and debating skills, as well as creative and reflective practices essential at the tertiary level. Appointment The conditions of appointment will be competitive. Remuneration will be commensurate with qualifications and experience. Appointments will be normally made on contract basis. Application Procedure (online application only) Please click "Apply Now" to submit your application. Applicants shall provide names and contact information of at least three referees to whom applicant's consent has been given for their providing references. Personal data collected will be used for recruitment purposes only. We are an equal opportunities employer. Review of applications will commence as soon as possible and continue until the posts are filled. Qualified candidates are advised to submit their applications early for consideration. The University reserves the right not to make an appointment for the post advertised, or to fill the post by invitation or by search. We regret that only shortlisted candidates will be notified.

Schemes of Service: Professional Officers Division: Professional Officers Employment Type: Fixed Term Professional Officer in Applied Artificial Intelligence (AI) The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. SIT’s centralised campus within the Punggol Digital District features a vibrant learning environment where academia and industry are tightly integrated with the community. SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience – attuning them to the needs and demands of the future economy. SIT is also establishing strategic live test beds known as ‘Living Labs’ both within and beyond its Punggol campus to support greater experiential learning and strengthen its applied research offerings. The university’s pool of experts works with multi-disciplinary teams to drive the horizontal technology enablers required to support SIT’s strategic translational research. The Professional Officers Division (POD) houses a centralised pool of academic staff under the Professional Officers scheme. Professional Officers bring specialised and deep technical expertise developed through extensive industry experience. They provide a critical industry perspective to student learning and applied research, complementing the academic expertise of faculty by translating industry practices and real-world applications into the curriculum. SIT is expanding its applied AI research capabilities, building a cohort of academic staff who are keen and experienced working on industry problems across sectors. Focus areas for applied AI include domains such as: Advanced Manufacturing & Semiconductors Urban Systems AI-Augmented Engineering AI Safety & Security Chemical Engineering & Biotechnology Hospitality and Tourism Healthcare Responsibilities: Design, develop, and teach laboratory sessions and practice-based modules in Applied AI and related areas. Lead or co-lead innovative applied research and industry collaboration projects with industry partners and government agencies. Secure and manage research grants to support applied research initiatives. Supervise and mentor students in applied research projects, Capstone Projects, and the Integrated Work Study Programme (IWSP). Manage laboratory facilities, equipment, and technical resources to support academic programmes and applied research activities. Ensure compliance with laboratory safety policies, procedures, and best practices. Contribute to the development of applied AI capabilities, learning resources, and industry-relevant curriculum support. Work closely with faculty and internal stakeholders to drive teaching, applied research, and innovation initiatives outcomes. Qualifications: A good Bachelor’s degree or Master’s degree in Computer Science, Engineering, or a related discipline, with demonstrated experience in Artificial Intelligence (AI) / Machine Learning (ML) research or application. Equivalent industry experience may also be considered. At least 8 years of relevant industry experience, preferably in a technical role within an organisation driving research and/or innovation outcomes Strong technical expertise in one or more of the following areas: Computer Vision and Image Processing Machine Learning, Deep Learning, and Reinforcement Learning Large Language Models (LLMs) and Multimodal Models Generative AI, Agentic AI, Physical AI, and Embodied AI Trustworthy AI, including explainability, auditability, and privacy Edge AI and model optimisation Physics-informed neural networks (PINNs) and surrogate modelling Time-series modelling and anomaly detection Bayesian methods and uncertainty quantification Graph Neural Networks (GNNs) Spatiotemporal data engineering Digital twins and simulation Demonstrated experience applying AI to the SIT’s focus areas Experience in one or more of the following areas will be advantageous: Caffe, Spark ML, Keras, PyTorch, TensorFlow, Scikit-learn, CNTK, big data technologies such as Apache Hadoop and Spark, and DevOps/MLOps. Strong foundation in data structures, data modelling, and software architecture, with programming proficiency in Python, R, Java, and/or C/C++. Good grounding in mathematics, including probability, statistics, and algorithms. Demonstrated interest and capability in supporting research and academic project work, with the ability to develop software solutions to technical problems. Strong supervisory and mentoring skills, with an interest in working closely with students in an educational environment. Commitment to continuous learning and professional development, with the ability to keep abreast of developments in the field. Relevant industry certifications will be an added advantage. For senior appointments, demonstrated managerial or team leadership experience may be required. Key Competencies Passion for teaching, coaching, and mentoring students and junior practitioners. Strong analytical and hands-on problem-solving skills. Ability to build and maintain effective working relationships with internal and external stakeholders. Adaptability and willingness to work across functions and teams in a dynamic environment. Self-motivated and committed to continuous learning and professional growth. Strong technical writing, communication, and presentation skills. Good analytical, critical thinking, and problem-solving abilities. Proactive, resourceful, and able to take ownership of assigned responsibilities. What SIT offers: An applied research environment to tackle real-world problems together with industry partners Opportunities to shape a coherent applied AI research agenda with colleagues across disciplines and build Singapore’s applied AI research capability at a pivotal moment Access to SIT’s Living Lab Network and Punggol Digital District ecosystem as testbeds Singapore’s exceptional quality of life, competitive personal tax environment, and position as Asia’s leading research and innovation hub