Dordt 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: Postdoctoral Fellow - Frontier of AI driven Inverse Design of Functional Materials Wu Jieh Yee School of Interdisciplinary Studies (Post Ref.: 25/176) Professor Xi Chen, Dean of the Wu Jieh Yee School of Interdisciplinary Studies and Chair Professor of Interdisciplinary Studies, leads an interdisciplinary team working at the frontier of AI driven inverse design of functional materials. Current research directions include: Reversible material representation methods for accelerated inverse design Large language, diffusion & graph neural models for materials discovery Fine tuning and architecture optimisation of foundation models Inverse design of next generation functional materials (e.g. energy, sustainability) The group partners closely with leading institutes in Hong Kong, Shenzhen, and worldwide, offering an exciting, collaborative research environment. The appointee will work as part of the team. This involves (1) conducting independent and collaborative research leading to publications in top tier journals and conferences; (2) contributing to grant proposal writing and collaborative projects; and (3) mentoring junior researchers and assisting with laboratory management. Requirements The candidate should have obtained / been conferred a PhD degree or an equivalent qualification in Materials Science, Mechanical / Applied Mechanics, Physics, Computer Science, Data Science, or a closely related field for no more than three years prior to the commencement of the appointment. The candidates should have a strong track record in at least one of the group’s research areas, preferably demonstrated by publications in high-impact venues. Experience with machine learning frameworks (e.g., PyTorch, JAX) and / or computational materials methods is essential. Additionally, the candidate should possess an excellent command of written and spoken English and demonstrate the ability to work independently as well as part of a multidisciplinary team. Appointment The conditions of appointment will be competitive. Commencing salary 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. The appointment will normally be made on an initial contract of up to two years. Application Procedure (online application only) Please click "Apply Now" to submit your application. Personal data collected will be used for recruitment purposes only. We are an equal opportunities employer. The review of applications will start and 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.

Ref.: 533919 Work type: Full-time Department: School of Humanities (05200) Categories: Professoriate Staff Applications are invited for appointment as Professor/Associate Professor on tenure terms or tenure-track Assistant Professor in Modern and Contemporary Art History in the School of Humanities (Art History) (Ref.: 533919), to commence in August 2026 or as soon as possible thereafter. Appointment as Assistant Professor will be made on a three-year fixed-term basis, with the possibility of renewal and consideration for tenure before the expiry of a second three-year fixed-term contract. Applicants should possess a PhD degree in Art History or a related field. The position is open to all subfields, preference will be given to candidates with the ability to teach introductory courses in modern and contemporary art of Europe and the Americas. The appointee will also supervise postgraduate students and should exhibit a strong interest in, and commitment to, integrating digital technologies and AI into teaching and research. The successful candidate will be expected to develop a vigorous, independent research programme; excel in undergraduate and postgraduate teaching and curriculum development; and undertake administrative duties as required. The normal teaching load is three undergraduate courses, in addition to advising undergraduate and postgraduate students. Information about the Department can be found at https://arthistory.hku.hk/. Enquiries may be directed to Professor Yeewan Koon, Chairperson of the Department of Art History (e-mail: koonyw@hku.hk). A highly competitive salary commensurate with qualifications and experience will be offered, together with contract-end gratuity and University contribution to a retirement benefits scheme at 15% of basic salary. Other benefits include annual and professional leave, medical benefits, and free access to on-campus gyms and libraries. Housing benefits will be provided where applicable. The University only accepts online applications for the above post. Applicants should apply online and upload a cover letter, an up-to-date CV, a research statement, a teaching statement, up to two of their most significant recent publications, and contact information for at least three referees. Review of applications will begin on February 27, 2026 and continue until March 31, 2026 or until the post is filled, whichever is earlier.

Description We invite applications for a postdoctoral position in database systems with a strong theoretical foundation. We are looking for a candidate excited by the challenge of rethinking data systems in the face of modern constraints such as optimization under uncertainty, constrained query evaluation, or the design of efficient, explainable, and scalable query engines. The successful applicant will help design and build novel systems and algorithms that challenge traditional assumptions in databases, guided by both real-world needs and formal foundations. They will work at the intersection of systems and algorithms, in collaboration with faculty, students, and external partners. Key Responsibilities Lead independent and collaborative research on topics in database systems, including constrained query evaluation, optimization, and reasoning under uncertainty. Design and analyze novel algorithms or theoretical models related to modern data management challenges (e.g., query feasibility, data correlations, probabilistic evaluation, scalability). Prototype and evaluate data system components or extensions to existing open-source engines. Publish in top-tier conferences (SIGMOD, VLDB, PODS, ICDE, ICDT, etc.) and participate in the wider research community. Mentor students and contribute to a vibrant research culture at NYUAD. Participate in cross-disciplinary projects at CITIES, connecting data systems to applications in urban science, planning, and decision support. Qualifications Required: PhD in Computer Science or a related field, with a focus in databases, data systems, theory, or algorithms. Strong publication record in top-tier venues. Solid background in one or more of the following: Query processing or optimization Constrained or combinatorial query evaluation Data modeling under uncertainty or imprecision Design and implementation of database or data analysis systems Excellent programming and prototyping skills. Strong analytical and communication skills; ability to work both independently and collaboratively. Desirable: Familiarity with modern in-process or embedded query engines (e.g., DuckDB, SQLite, etc.) Experience working with probabilistic databases, provenance, or uncertain data Exposure to decision-making, multi-objective optimization, or declarative problem modeling Prior involvement in open-source or reproducible systems research Interest in interdisciplinary applications of data systems (e.g., urban analytics, scientific workflows) For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list, degree transcript, statement of research interests, and at least two letters of reference, all in PDF format. If you have any questions, please email Azza Abouzied - aa175@nyu.edu About NYUAD: NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYUAD serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities. EOE/AA/Minorities/Females/Vet/Disabled/Sexual Orientation/Gender Identity Employer UAE Nationals are encouraged to apply