Kirikkale University

Based in the College of Science located at the Mount Gambier Campus Full-time, fixed-term contract available until December 2030 Salary range: (Level A) $81,293 - $109,307 / (Level B)- $ 114,917 - $135,932 per annum (plus 17% superannuation) At Adelaide University, we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive. We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters The successful candidate will be expected to work closely with local sawn timber and composite manufacturers to identify issues and help solve them, while also undertaken more fundamental research that helps advance the industry in the Green Triangle Region. The team The successful candidate reports to the Director and is part of a research team addressing silviculture, forest health, growth/yield modelling and timber properties. Part of the team is based at the Mawson Lakes campus in Adelaide, but the incumbent will be expected to be based in Mount Gambier. Visit the AU website to learn more about the School of Agriculture, Food & Wine. The Location Mount Gambier is a medium sized town located midway between Melbourne and Adelaide. The city is within the Green Triangle, a region containing 19 % of Australia’s plantation resource. The city is located within 30 km of the coast and 50 km of the Coonawarrra wine growing region. The Adelaide University campus is a growing part of the city with two new buildings and an expanding enrolment in health allied disciplines and education.  Our people Our people are guided by purpose, curiosity and a commitment to lifelong learning. We embrace authenticity, innovation and collaboration, and harness diverse thinking in our pursuit of excellence. This role is perfect for someone who enjoys variety and meeting new people. You will experience a range of tasks and interactions, keeping your workday interesting and engaging. Learn more about our people, what we stand for and what we offer at Careers at AU. Experience To join our community and thrive in this role, you will likely have the following skills and experience: Essential – Level A PhD in Wood Science or Material Science and with some of experience working in a specialised role in this field, which has resulted in publications in refereed journals or other demonstrated scholarly activities. Expert knowledge of timber processing, wood chemistry and anatomy with a strong background in timber mechanics. Ability to develop a research program in collaboration with local industry from design through to management. Strong communication skills, including a demonstrated ability to successfully develop constructive professional relationships, positively interact with a broad range of audiences (internal and external) and willingness to research and provide solutions. Well-developed organisational and time management skills to meet tight deadlines, a high attention to detail and an ability to report, analyse and present findings to industry partners. Ability to work autonomously and in a team environment with limited direction. Essential – Level B PhD in Wood Science or Material Science and 3 to 5 years of experience working in a specialised role in this field, which has resulted in publications in refereed journals or other demonstrated scholarly activities. Expert knowledge of timber processing, wood chemistry and anatomy with a strong background in timber mechanics. Evidence of ability to secure extramural support. Ability to develop research program in collaboration with local industry from design through to management. Strong communication skills, including a demonstrated ability to successfully develop constructive professional relationships, positively interact with a broad range of audiences (internal and external) and willingness to research and provide solutions. Highly developed organisational and time management skills to meet tight deadlines, a high attention to detail and an ability to report, analyse and present findings to industry partners. Ability to work autonomously and in a team environment with limited direction. Our commitment to inclusion and diversity We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process. Launch your future with Adelaide University now. Applying is simple. Simply click on the Apply Now button and upload: your current CV a cover letter that tells us why you’re excited about the role The online application form will list the specific selection criteria that you need to address. Submit your application by 11:30pm Sunday 7 June 2026 The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified. For further information about this opportunity, please contact (quoting reference number 492967): Georgia Viola Talent Acquisition Adviser +61 8 8302 1700 | careers.adelaideuniversity@adelaide.edu.au 

Description We are inviting applications for a Post-doctoral Associate in the Division of Social Science at NYU Abu Dhabi from individuals who have or will soon receive a PhD in Economics with fields of research in Macroeconomics or Computational Social Science. The appointment is for 2 years and will begin September 1, 2026, subject to final budget approval and visa acquisition by the prospective postdoc candidate. The post-doctoral associate will spend half their time on independent research, and half their time on collaborative research with Professors Alaïs Martin-Baillon, Jordan Norris, and Samreen Malik. The collaborative research will be on macroeconomic expectations, with a focus on firms and the role of networks. An ideal candidate may have experience with surveys and have expertise in computational economics. The position does not require teaching, but it may be possible to get teaching experience for compensation. For consideration, applicants must submit a cover letter, curriculum vitae with full publication list, a job market paper, statement of research interests, transcript and two letters of reference, all in PDF format. If you have any questions, please email Professor Martin-Baillon at alais.martin.baillon@nyu.edu and Professor Norris at jjnorris@nyu.edu. About NYU Abu Dhabi 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

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/