Kitasato 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: Senior Lecturer/ Lecturer Master of Science in Cross-disciplinary Technologies+ Master of Liberal Sciences Wu Jieh Yee School of Interdisciplinary Studies (Post Ref.: 25/133) The Wu Jieh Yee School of Interdisciplinary Studies (WJYSIS) was established to deepen interdisciplinary studies and scholarly collaboration. WJYSIS positions at the fusion of excellence of interdisciplinary research and education. The School’s strategic areas are centred with the theme of sustainability and embraced by the fundamental engineering science and lead to smart future. WJYSIS is looking for experienced Senior Lecturer/ Lecturer who will (i) teach multiple subjects in Master of Science in Cross-disciplinary Technologies+ (MScCT+) and Master of Liberal Sciences (MLS), focusing on information systems, business and data analytics, electronic business, digital marketing and new media, smart manufacturing, artificial intelligence, etc., (ii) work on the promotions and admissions as well as the operations for MScCT+ and MLS, and (iii) contribute to other administrative duties as required by the supervisors. General Requirements Candidates should have (i) a doctoral degree in engineering, data science, computer science, business, information systems, artificial intelligence, or other relevant areas; (ii) experience in teaching relevant courses and relevant programme administrative experience; and (iii) good command of English and Chinese (including Mandarin). Candidates who possess a strong academic background but have less teaching experience, or those with lower qualifications but substantial teaching experience, will also be considered. Appointment The conditions of appointment will be competitive. The rank and 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 be made on a fixed-term 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. Review of applications will start immediately 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.

Description The Modern Compilers Lab in the Computer Science program at New York University Abu Dhabi, seeks to recruit a research assistant to work on the intersection of compilers and deep learning. Many companies, such as Google, Facebook, and Amazon are building new specialized programming frameworks. This is because these companies need to allow their users to write simple, high-level code and run it efficiently on different hardware architectures. For example, Google has built TensorFlow, a framework for deep learning allowing users to run deep learning on multiple hardware architectures without changing the code. Our research team at NYUAD (New York University Abu Dhabi) is developing a new programming framework called Tiramisu [1]. Unlike existing frameworks, Tiramisu can perform advanced code optimizations that are hard to apply otherwise. Because of this, Tiramisu can generate fast code that outperforms highly optimized code written by expert programmers and can target different hardware architectures (multicore, GPUs, FPGAs, and  distributed machines). In order to have the best performance (fastest execution) for a given Tiramisu program, many code optimizations should be applied. Optimizations include vectorization (using hardware vector instructions), parallelization (running loop iterations in parallel), enhancing data locality by fusion, and blocking (i.e. accessing arrays in a way that improves temporal and spatial data locality). A large number of optimizations exist and choosing which optimization should be used and which should not is important for performance.  In some situations, some optimizations are harmful to performance while they are beneficial in other situations. Currently, there is no way to help users choose which optimizations should be used. Expert programmers usually spend a lot of time trying different optimizations manually to find the best set of optimizations. The goal of this project is to add support for automatic code optimization in Tiramisu.  In particular, we want to use machine learning/deep learning to achieve this. Currently, a basic automatic optimization module that relies on machine learning has been developed and we want to take that module to the next level. The final product of this project would be a compiler pass that allows Tiramisu to automatically choose which optimization should be used for a given unoptimized program. We want to produce a high-quality technique that can be used by the users of Tiramisu and especially by our partner companies and research labs. Candidates must hold a bachelor’s degree or equivalent in Computer Science, though a master’s degree is preferred. The ideal candidate will have Internship or experience in the areas of compilers and artificial intelligence. For consideration, applicants need to submit a cover letter, curriculum vitae, transcript, statement of research interests and two letters of reference, all in PDF format. If you have any questions, please email Prof. Riyadh Baghdadi at baghdadi@nyu.edu or mrasras@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 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. References [1] http://tiramisu-compiler.org/

At the University of Vienna almost 11,000 personalities work together towards answering the big questions of the future. Around 7,700  of them do research and teaching, around 3,000 work in administration and organisation. We are looking for a/an Senior Scientist - Research Network Democracy and Human Rights 49 Faculty of Social Sciences Startdate: 01.03.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 28.02.2030 Reference no.: 5169 We are looking for a Senior Scientist to develop, establish, and organize the research network “Democracy and Human Rights”, an interdisciplinary initiative at the University of Vienna that brings together, highlights and promotes excellent and socially relevant research in this area. Your personal sphere of influence: The Senior Scientist will participate in the development, establishment, and organization of one of the largest research networks on issues of democracy and human rights in Austria. Formally, the position is based at the Department of Governement, a subunit of the Faculty of Social Sciences, under the direction of Prof. Dr. Sylvia Kritzinger. Your future tasks: The Senior Scientist is expected to organize and communicate the activities of the research network in consultation with the co-directors of the research network (Sylvia Kritzinger and Michael Lysander Fremuth), the members of the steering committee of the research network, and another Senior Scientist. This includes: Dealing with issues of democracy and human rights from a social science perspective (including the collection and analysis of quantitative empirical social science data) Strategic planning Accompanying administrative tasks Networking among the researchers of the research network Planning and implementation of conferences, workshops, and other events Communicating relevant activities, including knowledge exchange (“third mission”) with the public sector and the general public Conducting your own research on topics related to the research network, especially in the context of running third-party funded projects, is possible as long as it is compatible with the primary interests of the research network.  This is part of your personality: You have a PhD in political science or a related discipline (e.g., sociology, communication studies); Your research interests lie in the field of democracy and human rights, ideally in one of the following key research areas: political representation, political behavior, party competition, political institutions; You have very good knowledge of quantitative empirical methods in the social sciences, both in terms of data collection and data analysis; You are highly intrinsically motivated to contribute to current challenges in the field of democracy and human rights; You are interested in a career in research administration and would like to be involved in setting up and organizing an interdisciplinary research initiative; You already have experience in planning, organizing, and moderating events (e.g., workshops, panel discussions, conferences); You present your research results at international conferences; You publish your research results in international journals; You teach independently in accordance with the provisions of the university's collective agreement; You are cooperative, team-oriented, reliable, and responsible; You have very good written and oral communication skills in German and English. What we offer: We offer you the opportunity to participate in an inspiring research environment that brings together notable experts in the field (networking) You can make a meaningful contribution in a socially relevant area (“pioneering work”) You will work in a team of dedicated colleagues at one of the world's most renowned universities, which is also family-friendly Your salary is 5.014,30 euros (full-time basis) and you can also work from home by arrangement It is that easy to apply: Cover letter Letter of motivation (max. 2 pages), including an explanation of how your interests, skills, and experience match the requirements profile Curriculum vitae Certificate of completion of your doctoral and master's degrees A sample of your most important scientific publication Up to two references Via our job portal / Apply now - button If you have any content questions, please contact: Sylvia Kritzinger sylvia.kritzinger@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 02/02/2026