Industrial University of Ho Chi Minh City

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/

12-month part-time fixed-term opportunity (0.4 FTE) for a dedicated and knowledgeable Clinical Trial Research Support Officersupport the clinical trial requirements and regulatory obligations of the WARC (Westmead Applied Research Centre) Base Salary $112, 628 (PRO RATA) + 17% superannuationAbout the opportunity The WARC (Westmead Applied Research Centre) is looking for a proactive Clinical Trial Research Officer to help drive the success of our clinical trials. In this role, you'll support trial operations from start-up to closeout, including ethics and regulatory submissions, site coordination, data management, and monitoring. You'll collaborate with investigators, research teams, and stakeholders to ensure trials run smoothly, meet milestones, and maintain the highest standards of quality and compliance.Your key responsibilities will be to: design and adapt clinical trial procedures, systems, and documentation from start-up to closeout plan trial timelines, resources, and logistics, including drug/device supply coordination monitor trial progress, site performance, recruitment, compliance, and data quality liaise with investigators, site staff, committees, and stakeholders to ensure protocol adherence organise investigator meetings, trial presentations, and reporting manage financial aspects such as site payments and budget tracking ensure ethical and regulatory compliance, including submissions, amendments, and approvals oversee data systems development, data collection, cleaning, and reporting maintain confidentiality and integrity of trial data and patient information conduct on-site and central monitoring, audits, and follow-up actions mentor junior staff and contribute to team leadership and performance management support continuous improvement, change management, and strategic initiatives promote a safe, ethical, and inclusive work environment.About you strong attention to detail demonstrated ability to work effectively in a team to achieve shared goals proven capacity to work independently and manage competing priorities excellent organisational, planning, and time management skills strong problem-solving abilities excellent written, verbal, and interpersonal communication skills high-level computing skills, including database use, website content management, spreadsheets, and word processing strong interpersonal skills for effective collaboration within teams and with stakeholders sound knowledge of ICH-GCP guidelines, ethical and regulatory requirements, and confidentiality/privacy laws in medical research commitment to teamwork and collaboration.To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.Sponsorship / Work RightsYou must have unrestricted work rights in Australia for the duration of this employment to be eligible to apply. Visa sponsorship is not available for this appointment. Pre-employment checks and declarations Your employment is conditional upon the successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University's obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.EEO statement At the University of Sydney, our shared values are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a university community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTQIA+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum Employer. Find out more about our work on diversity and inclusion. How to applyApplications (including a cover letter, CV, and any additional supporting documentation) can be submitted via the Apply button at the top of the page.For employees of the University or contingent workers, please login into your Workday account and navigate to the Career icon on your Dashboard. Click on USYD Find Jobs and apply.For a confidential discussion about the role, or if you require reasonable adjustment or any documents in alternate formats, please contact Danielle Selinger, Recruitment Consultant by email to danielle.selinger@sydney.edu.auCopyright The University of SydneyThe University reserves the right not to proceed with any appointment. Click to view the Position Description for this role.

Ref.: 534725 Work type: Full-time Department: Department of Social Work and Social Administration (30300) Categories: Professoriate Staff Applications are invited for appointment as Tenure-Track Assistant Professor in Smart Social Work in the Department of Social Work and Social Administration (Ref.: 534725), to commence on December 1, 2026 or as soon as possible thereafter, 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. SWSA is a leading department advancing social work and social policy education, research, and practice with a strong commitment to interdisciplinary collaboration and community impact. As part of our strategic direction, SWSA is strengthening capacity in Tech/AI and social work/service, including responsible innovation, evidence generation, and practice/policy translation. More information about the Department can be obtained at https://www.socialwork.hku.hk/. We invite applications for a tenure track appointment at Assistant Professor level in the broad area of AI and Social Work / Human Services Innovation. We seek candidates whose scholarship advances how AI and digital technologies can responsibly enhance social work practice, service systems, and social policy—particularly in Asian and global contexts. Required Qualifications A PhD (or equivalent) in Social Work. Professional training in Social Work, clinical psychology, educational psychology. Evidence of (or strong potential for) high quality publications and a clear research trajectory relevant to AI/Tech and social work/human services. Ability to teach effectively in English (Cantonese/Mandarin capability is an asset but not required). A highly competitive remuneration package commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. Housing benefits will be provided as applicable. The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V., a research statement and a teaching statement, and state the contact information of three referees on the online application form. At least one of the referees should comment on your research/teaching ability and your contribution to research/teaching in your Department, while the remaining two should have knowledge of your recent academic or employment experience. Enquiries about the post can be sent to the Head of Department. Review of applications will start as soon as possible and continue until August 31, 2026, or until the position is filled.