Ateneo de Naga University

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 post: Research Assistant Professor Institute of Insurance and Risk Management (Post Ref.: 25/312) Established in 2021, the Institute of Insurance and Risk Management is a department-level, research-focused unit which holds the Lingnan University-Sun Yat-sen University GBA Research Institute for Insurance and a Risk Management (LU-SYSU IRM). The Institute’s goal is to become a leading centre of excellence in research activities and talent trainings for the risk management and insurance industry in Hong Kong, Chinese Mainland, and the Region. The Institute will also contribute to developing Hong Kong as a premier international insurance hub through its academic and practice-oriented research as well as other related activities such as organizing industry-oriented forums, hosting various conferences and symposiums for academics and practitioners, and conducting practice-oriented surveys. The Institute is looking for a Research Assistant Professor, who will primarily focus on conducting scholarly research and obtain external grants, teach undergraduate/ postgraduate courses and contribute to services. General Requirements Candidates should have obtained / been conferred a PhD degree or an equivalent qualification in a Risk and Insurance or related discipline for no more than five years prior to the commencement of the appointment. In addition, the candidates should demonstrate strong commitment to quality research activities. Ideally, the candidate would have relevant experience in recognized institutions and a sound track record in research, scholarly activities, publications in top-tier journals and competitive grants. Applicants should provide information about their work experience, qualifications, research interests and achievements, and a statement of publication record. The appointee is expected to submit applications for RGC grants, other local/overseas competitive grants and/or fellowship schemes. Appointment The conditions of appointment will be competitive. The remuneration will be commensurate with qualifications and experience. Fringe benefits include annual leave, medical and dental benefits, mandatory provident fund, gratuity, and incoming passage and baggage allowance for the eligible appointee. Appointment will normally be made on contract basis for two years. 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 applicants’ 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 continue until the post is 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.

Description The Prof. Sunil Kumar’s Research Group in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a junior research scientist to develop AI-enabled healthcare applications. Key Responsibilities: Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata. Build and evaluate monocular depth pipelines and implement multimodal retrieval with re-rankers for robust profile selection. Design and train advanced AI models for digital twin: 3D model learning, prediction models from imaging and molecular data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation. Work with 3D datasets, time-series sensors, and multi-omics or assay data to create predictive models and digital twin prototypes. Maintain reproducible code, experiments, and model/ dataset versioning; develop deployment artifacts (Docker, CI/CD scripts) and support cloud/HPC model training. Plan, run and analyze pilot studies (SME pilots and lab validation); participate in data collection, annotation and lab assay coordination. Write up results and contribute to publications, technical reports and presentations for academic and non-academic stakeholders. Minimum Qualifications: Bachelor’s or Master’s degree in computer science, electrical/computer engineering, applied mathematics, computational biology, bioengineering, or a closely related discipline. Solid experience training and evaluating AI models. Proficiency in Python and ML frameworks (PyTorch, TensorFlow). Experience with dataset curation, annotation workflows, FAISS/embedding retrieval, LLM-based parsing, RAG-style pipeline, and GPU/HPC training. Familiarity with 3D data processing or willingness to learn quickly. Publications, thesis work, or demonstrable projects in computer vision, multi-modal ML, digital twins or biomedical ML. Familiarity with uncertainty quantification and model explainability methods. Strong software engineering practices: Git, reproducible experiments, modular code, deploying models in cloud (AWS/GCP) and containerized services (Docker, Kubernetes). Good written and verbal communication skills and ability to work collaboratively across interdisciplinary teams. For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list statement of research interests, transcript and three letters of reference, all in PDF format. If you have any questions, please email Prof. Prabodh Panindre at prabodh@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. Please visit our website at https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research.html for instructions and information on how to apply. About NYU Abu Dhabi 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. UAE Nationals are encouraged to apply.

The School of Engineering invites applications for three highly motivated individuals to join the University of Southampton. The successful candidates will engage in cutting-edge research under the mentorship of leading experts in one of the following priority research areas: Research area 1: Intelligent Structural Optimization using Physics-Informed Reinforcement Learning Research area 2: AI-Enhanced Digital Twin Framework for Smart and Sustainable Advanced Manufacturing Research area 3: Advanced Multifunctional Materials The ideal candidates would have a background in machine learning, manufacturing, characterization, and testing of novel high performance multifunctional materials. During the project, you will conduct independent research within the designated area while actively seeking opportunities to apply your findings by engaging with relevant stakeholders. You will be expected to publish your research in reputable academic journals and present your work at leading conferences, contributing to the visibility and impact of your field. Additionally, you will engage in continuous professional development to enhance your expertise and skills. Your role will also involve contributing to the university environment through activities such as delivering invited guest lectures, participating in seminars, workshops, and early career researcher forums. Furthermore, you will play a key role in cascading the practical knowledge gained during the fellowship to key stakeholders, ensuring its wider dissemination and impact. The initial appointment is for one year, with the potential for continuation based on the progression of the project up to 3 years. The International Science Partnerships Fund puts research and innovation at the heart of our international relationships, supporting UK researchers and innovators to work with peers around the world on the major themes of our time: planet, health, tech and talent. The fund is managed by the Department for Science, Innovation and Technology and delivered by a consortium of the UK’s leading research and innovation bodies, which include: UK Research and Innovation (comprising the 7 research councils, Innovate UK and Research England), the UK Academies, the British Council, the Met Office, the National Physical Laboratory, the UK Atomic Energy Authority, and Universities UK International. Early Career Researchers (ECRs) have completed or are close to completion of their PhD, potentially waiting for their final viva voce examination, which must be passed prior to taking up the award. ECRs will not have held a permanent academic post or a permanent post with a research-related element, or one which allowed them to supervise PhD students or submit research grants as a principal investigator. Time spent in teaching-only roles or academic related roles does not affect ECR status, provided no research element was part of the role. If a researcher does not hold a PhD but has research experience equivalent to a PhD holder and works in a field where a PhD is not a prerequisite for established research activity, they can still be considered eligible. Participants from for-profit organisations cannot be funded. As we move toward greater inclusivity for ECRs from a wide range of backgrounds, we are no longer counting years spent in a specific career stage. Career breaks and alternative trajectories to an early academic career are all considered outside the definition of career stage. The British Council’s ISPF Early Career Fellowships are specifically designed to widen participation and to support the careers of researchers from a variety of backgrounds, including those whose backgrounds are underrepresented in their research field. This opportunity is available to early-career researchers: Who have not yet held a permanent research-related post or academic post with a research-specific element, Who wish to have a research experience at a UK university or research institution The fellowship is for one year Who can apply The application is now open for early career researchers from the eligible countries/territories who have a proven background or interest in the proposed research area, demonstrate passions and plans to engage with other early career researchers from the home countries/territories, have a passion to contribute to capacity-building and socio-economic advancement after the scheme, and meet the English language requirement of the UK HEI. The candidate will undertake research with collaboration with Ansys under the supervision of the award holder (Dr. Susmita Naskar).  For further detail on this vacancy please contact Dr Susmita Naskar (S.Naskar@soton.ac.uk) To apply for this role please ensure you have attached a CV and Research Statement of previous experience.