International Institute in Geneva

Ref.: 534923 Work type: Full-time Department: HKU Institute for Climate and Carbon Neutrality (47100) Categories: Teaching Staff Applications are invited for appointment as Senior Lecturer/ Lecturer/ Assistant Lecturer in the HKU Institute for Climate and Carbon Neutrality (ICCN) (Ref.:534923 ), to commence as soon as possible for one-year temporary contract, with the possibility of renewal subject to funding availability and satisfactory performance. Position Highlights: Curriculum Design and Teaching: Collaborate with the academic team to develop and deliver engaging course content for our Master's and Executive programs in climate governance and risk management. External Liaison: Engage with industry partners to enhance career development opportunities for students. Build connections that facilitate internships, workshops, and networking events. Event Organization: Plan and execute events that promote ICCN's mission. Support the development of seminars, conferences, and public outreach initiatives. Strategic Development Support: Contribute to the strategic planning of ICCN by providing insights into trends in climate research and carbon management practices. Requirements: We are seeking passionate and motivated individuals committed to addressing climate change and advancing sustainability. The ideal candidate should possess: A strong academic background and relevant experience in environmental science, policy, or related fields;  A Bachelor’s degree or preferably a Master’s degree in Environmental Management, Public Health, Climate Risk Management, ESG or related discipline; At least 3-5 years’ solid experience in conducting professional training or education; Ability to bridge theory and practice by engaging with industry practitioners and academic peers; Good command of written and spoken Chinese (Cantonese) and English. Applicants with less experience or qualifications may be considered for appointment as Assistant Lecturer. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. and at least 2 reference letters with specific comments on their competence. Review of applications will start on April 20 2026, and continue until the post is filled. The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency

Department: Modern Languages, Literatures & Cultures Vacancy ID: 040803 Closing Date: 30-Apr-2026 We are seeking an excellent academic to join our staff as an Assistant Professor/Lecturer in Spanish and Latin American Studies The person appointed will have a proven record of teaching, research and publication, appropriate to career stage. They will be expected to make a strong contribution to the teaching programme of the Department and undertake teaching duties on the Department’s undergraduate and postgraduate programmes as well as the supervision of Master’s and PhD students. The appointee will be expected to build a strong research profile, that supports the University’s research strategy including affiliating to the Research Institutes, where appropriate and working with colleagues on national and international research. We are interested in receiving applications from candidates with a PhD and a strong research profile in any area of Latin American literary/cultural studies. The successful candidate will be expected to sustain and conduct research, engage in scholarship of quality and substance and generate publications of international standard. Assistant Professor / Lecturer (2026) Salary Scale: €65,401 – €103,564 p.a. (7 points) Assistant Lecturer (2026) Salary Scale: €42,599 - €72,718 p.a. (14 points) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Thursday, 30th April 2026 Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system. Late applications will not be accepted. Maynooth University is an equal opportunities employer The position is subject to the Statutes of the 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/