Guangxi Medical University

Lead Software Engineering programmes and academic direction Advance research with strong industry collaboration Shape AI integration in teaching and curriculum About the role - Ngā kōrero mō te tūranga  This is an exciting opportunity for a mid-career Software Engineer to show strong leadership and progress your research goals. As Programme Lead for Software Engineering, this full-time role is expected to contribute to undergraduate and postgraduate teaching, as well as the supervision of honours, graduate and postgraduate students. The Senior Lecturer/Associate Professor will be expected to maintain professional associations, establish and promote collaborations with industry, and contribute to outreach events. Salary will be in the range of $113,428 to $148,799 for a Senior Lecturer, or $150,661 to $166,176 for an Associate Professor, per year based on skills, knowledge and experience brought to the position. This is a full-time role (37.5 hours a week), based at our Hillcrest Campus. For more information on these roles, please see the position description attached for the Senior Lecturer or Associate Professor. For a confidential conversation about the role, please contact Professor Annika Hinze, Head of School, School of Computing and Mathematical Sciences, at annika.hinze@waikato.ac.nz Who are you? - Ko wai koe? We are seeking to grow our Software Engineering department with the addition of a Senior Lecturer/Associate Professor who enhances our research strengths, creates engaging teaching experiences, and contributes to our outreach programmes. We are especially interested in appointing an experienced academic who can provide leadership in integrating emerging AI tools and methodologies into our software engineering programme. The successful candidate will hold a relevant PhD and have demonstrated teaching and research experience at both undergraduate and postgraduate level, including successful supervision of Masters and Doctoral students, supported by a strong track record of securing competitive research funding. Additionally, experience leading a team of academic colleagues is strongly preferred, as well as a willingness to contribute to both our Hamilton and Tauranga programmes. Who are we? - Ko wai mātou? Au Reikura - The School of Computing and Mathematical Sciences at the University of Waikato comprises four discipline groups. The Software Engineering group has research strengths in areas such as human-centred computing, internet of things, and software correctness. Software Engineering is closely aligned with the Computer Science programme, where we have a strong presence in Artificial Intelligence and Cyber Security. We offer a range of Software Engineering programmes, from the fully accredited Bachelor of Engineering to PhD level. Our programmes are accredited under the Washington Accord and the Seoul Accord. Applications close on Sunday, 5 July 2026

Description The Clinical Artificial Intelligence Lab at NYU Abu Dhabi seeks to improve patient care by developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics. We are seeking a Postdoctoral Researcher to join the team and make significant contributions to the field. The researcher is expected to have (i) strong machine learning skills to improve model performance and robustness, and (ii) exemplary passion and motivation to pursue multidisciplinary research at the intersection of computing and healthcare. Methodologies of interest include: multi-modal learning, foundation models, including large language models, agentic AI, multi-agent AI systems, transfer learning, self-supervised learning, and federated learning. The Postdoctoral Researcher will be primarily based at NYU Abu Dhabi. The researcher will report directly to Dr. Farah Shamout and work in close collaboration with other researchers, PhD students, and undergraduate research assistants. The researcher will engage with our regular collaborators across the NYU campuses and local medical institutions in the UAE. Key Responsibilities Research Support the supervisor in developing and implementing the research agenda; Conduct high-quality and innovative research primarily focused on ML methodology development for healthcare; Generate new high-impact ideas based on gaps and limitations of the state-of-the-art (SOTA); Design and implement experiments to compare proposed work with SOTA baselines; Publish research findings in high-impact journals and conferences; Communicate and present research findings at international academic gatherings; Create, maintain, and document high-quality research code for reproducibility; Maintain good practice in managing and accessing sensitive medical datasets; Assist the supervisor in the preparation of grant applications (as appropriate); And collaborate with scientists within the NYU Global Network and in Abu Dhabi. Training & professional development* Attend trainings and workshops for career development; Mentor PhD students and undergraduate research assistants (as appropriate); Actively participate in events and committees at NYU Abu Dhabi, such as the Postdoctoral Council Steering Committee; Gain experience in applying for local research grants (subject to eligibility); And transition to independence to pursue a career of choosing following the appointment. * The researcher will create a personalized training and development plan with the supervisor. Minimum Qualifications Currently has or is in the process of completing a PhD, MD/PhD, DPhil or equivalent terminal degree from a recognized institution (no more than 5 years since completing the doctoral degree) Doctoral research in the area of machine learning and artificial intelligence Bachelor’s/ Master’s degree in computer science, mathematics, computer engineering, or relevant technical field First-author peer-reviewed published papers (or under review) Proficient programming experience in Python and libraries (e.g., Pytorch, TensorFlow) with several years of practice Experience in maintaining high-quality code on Github Experience in running and managing experiments using GPUs Ability to visualize experimental results and learning curves Effective inter-personal and team-building skills Self-motivated with an ability to work independently and in a team to get the work done Excellent communication skills (oral and written communication) Willingness to learn and confront new challenges Preferred Qualifications Doctoral research conducted in the area of machine learning for healthcare and related topics Deep knowledge of multi-modal learning, transfer learning, foundation models, and self-supervised learning. Experience in dealing with large medical datasets (e.g., electronic health records data or medical images) Ability to use high performance computing cluster For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, research statement (1-page), project proposal summary (1-page), a transcript or degree, and three letters of reference, all in PDF format. If you have any questions, please email Prof. Farah Shamout at farah.shamout@nyu.edu. The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. About NYU Abu Dhab https://nyuad.nyu.edu/en/ NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity’s shared challenges. NYU Abu Dhabi’s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents. NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching. Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed. Working for NYUAD At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community. Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply. Join NYU Abu Dhabi, an exceptional place for exceptional people. NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission. @WorkAtNYUAD

Support impactful freshwater research through environmental data analysis and collaboration with leading scientists. Collaborate with leading researchers and local and international research partners. Work on research that directly informs freshwater and environmental management. Two-year fixed-term role - great benefits and professional development opportunities. Ngā kōrero mō te tūranga - About the role We have a full-time, two-year fixed-term Research Officer position available for a highly motivated individual to support and assist research activities within a collaborative freshwater and environmental research programme. Salary will be in the range of $81,389 to $97,791 per year, pro-rata based on skills, knowledge and experience brought to the position. This is a full-time role (37.5 hours a week), based on our Hillcrest Campus. For more information on the role, please see the position description. For a confidential conversation about the role, please contact Deniz Özkundakci, Toihuarewa Waimaori Bay of Plenty Regional Council Chair, at deniz.ozkundakci@waikato.ac.nz All applications must be submitted through the online portal; emailed applications will not be accepted. Ko wai koe? - Who are you? You will have a Master's degree in a relevant field, such as environmental sciences, freshwater science, ecology, hydrology or a related discipline, with a high-quality research component, such as a thesis. You will have experience working with environmental, ecological, hydrological or water quality datasets. You will have experience with environmental data analysis software such as R, Python, GIS or similar. You will be able to demonstrate high-level quantitative and analytical skills in data processing, management and interpretation. You will be a self-motivated and adaptable researcher with a strong interest in freshwater ecosystems and environmental science. You will enjoy tackling complex problems, working collaboratively within multidisciplinary teams, and contributing to research that informs real-world environmental management. Given the breadth of activities within the research programme, we encourage applicants to outline both their existing areas of expertise and the areas in which they are interested in further developing their skills and experience. Ko wai mātou? - Who are we? The School of Science's research is shaped by the pursuit of outstanding science that has relevance in the real world. Our researchers are genuinely world-class and tackling some of the biggest challenges facing us here in the Waikato and Bay of Plenty regions, Aotearoa and the world. He aha ngā take me tono mai ai koe? - Why should you apply for this position? We want you to be part of our success! Our university stands proudly on the world stage as a provider of future-focused, international education and an active player in global research. Our rankings reflect these strengths. Working with us means you'll enjoy a satisfying work environment with many benefits. The University of Waikato is distinctive for the diversity of its staff and students and encourages applicants with the relevant capabilities from all backgrounds to apply. Applicants must have the legal right to live and work in NZ in accordance with NZ Immigration regulations, which can be found here. Ko te Tangata - For the People The University of Waikato prides itself on the quality of its engagement with the communities that it serves, the provision of a world-class education and the national and international impact of its research. Our policies are guided by the principles of the Treaty of Waitangi and equal opportunity for all. E herea ana te Whare Wānanga ki te kaupapa kia whakaratohia te mea angitū ōrite ki ngā tāngata katoa. Applications close on Sunday, 12 July 2026 Applications will be reviewed as they are received, and candidates may be contacted prior to the closing date. Requisition number: 1003702