Hiroshima University

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/

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 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), and three letters of reference, and a transcript, 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. Please visit our website at http://nyuad.nyu.edu/en/about/careers/faculty-positions.html for instructions and information on how to apply. 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/SexualOrientation/Gender Identity Employer UAE Nationals are encouraged to apply.

HSS AI Position DEPARTMENT: School of Humanities and Social Sciences ACADEMIC DISCIPLINE: Applied Linguistics/Translation and Literary Studies/Media and Communication/China Studies/International Studies POSITION TITLE: Open rank from Assistant Professor to full Professor LOCATION: Suzhou Campus SALARY: Internationally competitive ADVERTISEMENT CLOSING DATE: 15th Feb 2026 JOB ID:3742 ABOUT XJTLU In 2006, Xi’an Jiaotong-Liverpool University (XJTLU) was created by the University of Liverpool and Xi’an Jiaotong University – a top ten university in China. Offering a unique international education experience, XJTLU brings together excellent research practice and expertise from both institutions and gives students the skills and knowledge they need to secure careers in a global marketplace. The University has around 25,000 registered students, including those who are studying at the University of Liverpool. As of September 2025, there are around 1,800 teaching and research staff of various types, including about 1,300 full-time academic staff. XJTLU offers our undergraduates and postgraduates over 100 programmes with a diverse spectrum of courses. XJTLU is entering a new and exciting phase of its development as part of its strategic priorities for the next ten years. Adopting a new higher education model based on the concept of Syntegrative Education (SE), XJTLU has opened a new Entrepreneurial Education site in Taicang, part of wider Suzhou, where the Entrepreneur College (Taicang) is located. The Taicang site will be a pioneer of, and educational model for, the future campus in addressing challenges arising from the 4th Industrial Revolution. Other new initiatives include new working partnerships with Xi’an Jiaotong University, the continued development of the four new Academies, and exploration of further potential locations to develop the SE model. Alongside these developments, the University is advancing an institution-wide Education + AI strategic framework, integrating artificial intelligence into teaching, research, governance, and industry engagement. This includes the development and deployment of large language model–based platforms to support learning and research, as well as enhanced digital and high-performance computing infrastructure to enable data-intensive and AI-supported research across disciplines. With a strong emphasis on interdisciplinary research and innovation, XJTLU hosts a range of AI- and data-focused research centres and laboratories, and has established collaborations with leading Chinese technology and AI companies, as well as public and private sector partners. These initiatives support research in areas such as big data analytics, artificial intelligence, digital society, education technology, and human-centred AI design. With a focus on innovative learning and teaching, and research, XJTLU draws on the strengths of its parent universities, and plays a pivotal role in facilitating access to China for UK and other institutional partners. At the same time, XJTLU is exploring future education by blending the educational theory, best practice and culture from west and east, with digital and AI-enabled innovation as a key driver. For detailed information about the university, please visit www.xjtlu.edu.cn. ABOUT the School of Humanities and Social Sciences The School of Humanities and Social Sciences (HSS) is dedicated to establishing a centre of research excellence that is recognised both within China and internationally. To this end, we offer innovative degree programmes that position graduates for success both in pursuit of employment at leading companies and admission into postgraduate programmes at the world’s best universities. The School also cultivates outreach and partnerships with domestic and international universities, as well as with industry and policy stakeholders. Researching and educating across different disciplines in humanities and social sciences, the School is supported by 100 scholars from more than 15 countries and consists of five academic departments: China Studies International Studies Media and Communication Applied Linguistics Literary and Translation Studies HSS offers eight undergraduate degree programmes and six postgraduate degree programmes, including: BA Chinese Studies   BA International Relations   BA Media and Communication   BA English Studies   BA English and Communication    BA English and Finance   BA English and International Relations   BA Translation and Interpretating   MA Applied Linguistics (specialisation in multilingualism)   MA China Studies   MA international Business and Global Affairs   MA International Relations   MSc Media and Communication   MA TESOL  Each undergraduate programme offers opportunities for students to pursue a 2+2 with the University of Liverpool as well as study abroad programmes at universities around the world. In addition, the School hosts the University of Liverpool’s Year in China programme, welcoming hundreds of Liverpool students to our campus. As a research-intensive university, the School also enrols PhD students across our core disciplines as well as germane ones such as history, sociology, and anthropology. HSS also organises collaborative and collective research projects to explore interactions and dialogues between China and the world, and proactively engages with the wider academic, business, and policy-making communities in the Yangtze River Delta region, as well as nationally and internationally, including in emerging areas related to AI, digital society, and global communication. More details about the School of HSS can be found here: https://www.xjtlu.edu.cn/en/study/departments/school-of-humanities-and-social-sciences RESPONSIBILITIES AND DUTIES: The successful candidate will be based in one of HSS’ five academic Departments and will contribute to research, teaching, and administration commensurate with their experience. The teaching responsibilities of the colleague will consist of two parts: 1) to lead and develop School-level AI modules and 2) contribute partially to department-level teaching. ESSENTIAL QUALIFICATIONS/EXPERIENCE: The successful candidate must possess a PhD in computer science or a relevant field within the humanities and social sciences as per the respective descriptions below. Humanities We seek candidates who understand the intersection of AI and the humanities and are capable of integrating AI technologies into their research and teaching, primarily through natural language processing (NLP) to analyse historical texts, literature, and cultural data. Experience with AI tools such as machine learning for sentiment analysis, data mining for social trends, or computational linguistics for linguistic analysis will be highly regarded. Additionally, the ability to instruct students on how AI can be applied to the study of philosophy, ethics, and history is essential. Understanding AI’s implications for privacy, identity, and digital culture is also critical. Social Sciences We seek candidates who can incorporate AI into their research on human behaviour, social trends, and policy analysis and are knowledgeable about AI tools that can analyse large datasets, including predictive modelling, sentiment analysis, or social network analysis. Experience with AI applications in sociology, political science, communication, linguistics, or area studies is vital. The candidate should be equipped to examine AI’s impact on social structures, inequality, and ethics in their work and understand AI’s potential to shape societal norms and public policy. Familiarity with tools such as Python for data analysis and AI-driven surveys or data collection methods is advantageous. DESIRABLE QUALIFICATIONS/EXPERIENCE: Experience of successful development and implementation of humanities and social sciences curricula, and/or teaching quality enhancement programmes; Experience of working within quality assurance frameworks that are institutional, national and international; Experience working in a transnational educational context with Chinese and/or UK partner institutions; CITIZENSHIP AND VISA REGULATIONS Employment at Xi’an Jiaotong-Liverpool University is regulated by Chinese Labour Laws, and must comply with the regulations of the provincial government. These regulations stipulate who is eligible for legal employment with regard to obtaining work permits and visas.  Please be advised candidates over 65 may be not eligible for a work visa in the P.R. China. COMPENSATION & BENEFITS SALARY: Competitive salary in the market BENEFITS Allowance: XJTLU provide various month/annual/one-off allowances as  Housing allowance Travel allowance Relocation allowance Kids’ education allowance Etc. Commercial insurance: international insurance plans customized for XJTLU staff and family members. (details refer to the University Policy) Paid holidays:  Statutory Holidays (11 days) Annual Leave (36 days) Family Matters Leave Paid Sick Leave Marriage Leave Paternity Leave Parental leave Etc. Working visa and residence permit in China: XJTLU sponsors working visa and residence permit in China for the staff. Working visa and residence permit in China: XJTLU sponsors working visa and residence permit in China for the staff. HOW TO APPLY Please submit your application on our university website here: https://career15.sapsf.cn/sfcareer/jobreqcareer?jobId=3742&company=xjtlu    Applications must be submitted in a single pdf file that includes 3 parts in the order of: A cover letter A current CV, including date of birth, country of citizenship, and highest degree level Contact Details for Three References Informal enquiries about the position and the School may be addressed to the Dean of the School of Humanities and Social Sciences, xiaoling.zhang@xjtlu.edu.cn For specific enquiries relating to the position, please email Jia.Xu@xjtlu.edu.cn.