Durban University of Technology

Based at Australian Institute Machine Learning (AMIL), City East Campus Full-time, fixed term contract 3 years Salary Range: $102,024 - $109,307 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 Join a funded research project at the forefront of Large Vision-Language Models (LVLMs), developing innovative evaluation tools and training methods to enhance complex reasoning, decision-making, and adaptability in next-generation AI systems. Your work will address critical limitations in current AI approaches and contribute to impactful, real-world solutions across sectors such as healthcare, business, and education, while strengthening Australia’s leadership in AI. Curious to learn more? Explore the position description/selection criteria above to discover more about this opportunity. The team Reporting to Associate Professor Qi Wu, this role sits within the Australian Institute for Machine Learning (AIML). You will work alongside experts in machine learning, computer vision, and natural language processing, contributing to cutting-edge research and partnering with academic and industry stakeholders to deliver innovative, high-impact outcomes. Established in 2018 and based at Lot Fourteen in Adelaide, AIML is globally recognised for research excellence and real‑world impact, collaborating with leading industry and government partners to apply cutting‑edge discoveries to challenges in sectors such as defence, space, healthcare, infrastructure and agritech. Visit the AU website to learn more about the Australian Institute for Machine Learning. 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 ideal for someone who thrives in a fast-paced, research-intensive environment. You will engage with a diverse network of collaborators across disciplines, contributing to innovative projects that push the boundaries of AI while maintaining strong connections to practical applications. 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: PhD in machine learning, AI, computer science or related field Programming experience in Python, C++ or other relevant language and experience in deep neural networks (Pytorch, tensorflow). Experience and demonstrable expert knowledge in one or more or the following areas: deep learning; graph neural networks and/or probabilistic graphical models; computer vision; Large Language Models. A good publication record in top tier machine learning and/or computer vision conferences or journals, commensurate with experience and opportunity. A strong work ethic, and the ability to work well independently, and as a member of a broader team 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 Thursday 23 April 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 492783): Simone Patterson Talent Acquisition Officer +61 8 8302 1700| careers.adelaideuniversity@adelaide.edu.au 

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.  Job Details This Research Engineer will contribute to an international joint project related to policy-making in urban planning and design, focusing on developing a Multi-Criteria Decision-Making (MCDM) framework and tool. The work will involve integrating results from GeoTOPSIS and/or VectorMCDA in QGIS, enhancing spatial decision support for blue–green infrastructure and ecosystem service evaluation. The Research Engineer will lead the software development and interface programming, working closely with the GIS Research Fellow and interdisciplinary project team members to create a user-friendly, scalable decision-support tool for planners and policymakers. As part of understanding the ecosystem services that are involved in Singapore, the successful candidate will also be expected to perform some field-based data collection during the duration of the project. Key Responsibilities Work closely with the PI, Co-PI, and research team to ensure timely completion of all project deliverables. Implement and enhance GeoTOPSIS/VectorMCDA algorithms within QGIS using Python or equivalent programming frameworks. Develop a user-friendly interface (QGIS plugin or web-based application) for decision-making and data visualization. Collaborate with the GIS Research Fellow to integrate ecosystem service layers and model outputs. Conduct tool testing, validation, and iterative refinement based on stakeholder feedback. Manage documentation, data pipelines, and version control. Support system deployment on a secure project server and ensure cross-platform interoperability. Assist in project management and support the team in facilitating and organizing workshops, stakeholder sessions, and policy dialogues. Be involved in regular field work data collection and to perform environmental and biodiversity surveys (fish, birds and insects) as part of a research team. To communicate in any relevant internal or external stakeholders to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor. Job Requirements Master’s degree in Computer Science, Software Engineering, Geomatics, Environmental Informatics, or related fields. Strong programming skills in Python, R, or JavaScript for spatial analysis, interface development, or web applications. Experience in plugin or dashboard development (e.g., PyQGIS, Dash, Streamlit, or web-GIS frameworks). Familiarity with GIS concepts and geospatial data structures; experience with QGIS or ArcGIS will be an advantage. Ability to translate analytical models into intuitive, interactive user interfaces. Good teamwork, documentation, and problem-solving skills. Self-motivated and able to learn new tools and frameworks independently. Additional Note: While prior experience with GeoTOPSIS/VectorMCDA is not mandatory, it will be considered a strong advantage. On-the-job training will be provided to equip the candidate with necessary methods and integration workflows with ecosystem service models and spatial datasets. Key Competencies Strong programming skills (Python/R/JavaScript) for tool and interface development. Ability to implement or learn GeoTOPSIS/VectorMCDA methods in GIS environments. Good teamwork and communication skills for collaboration with the project team. Strong problem-solving ability, adaptability, and willingness to learn new tools. Good organizational and documentation skills; familiarity with GIS is a plus.

Description Political scientists at New York University Abu Dhabi (NYUAD) are looking to hire a full-time junior or assistant research Scientist – equivalent to a research assistant/associate at other institutions – to start in September 2026. The position entails data management, replication, and visualization as well as literature reviews and light text editing. There might be an opportunity for co-authorships for a qualified candidate. A successful candidate must have advanced data analysis skills in R and Stata, experience with data visualization in R, and GIS data work in R and/or ArcGIS. The candidate must be self-motivated, an independent thinker, fluent in English, and have well-developed writing skills. The position is open to applicants with a master’s degree in any social science discipline, quantitative data analysis, or statistics, and with less than 5 years of research experience in the relevant field, and/or PhD degree with any level of experience. Candidates with qualifications in or familiarity with political science are preferred. This is a full-time position based at NYU’s campus in Abu Dhabi. The appointment will run from September 2026 until August 2027 with a possibility of extension. The terms of employment are competitive and include housing and educational subsidies for children. To be considered, all applicants must submit a cover letter, curriculum vitae, research statement, transcript of degree, and the names of at least two referees, all in PDF format. If interested, please apply on Interfolio by April 10, 2026. For any questions feel free to reach out to Leonid Peisakhin lvp2@nyu.edu , Peter van der Windt pvd2@nyu.edu, and Christopher Paik cp92@nyu.edu. 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. Students are drawn from among the world’s best. They are bright, intellectually passionate, and committed to building a campus environment anchored in mutual respect, understanding, and care. The NYUAD undergraduate student body has garnered an impressive record of scholarships, graduate-school admissions, and other global honors. Graduate education is an area of growth for the University; the current graduate student population of over 100 students is expected to expand in the next decade as doctoral programs are developed. Working for NYUAD At NYUAD, we recognize that Abu Dhabi is more than where you work; it’s your home. In order for research staff to thrive, we offer a comprehensive benefits package. This starts with a generous relocation allowance; educational assistance for your dependents; access to health and wellness services; and more. NYUAD is committed to research staff success throughout the academic trajectory, providing support for ambitious and world-class research projects and innovative, interactive teaching approaches. Support for dual-career families is a priority. Visit our website for more information on benefits for you and your dependents. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to the excellence and vibrancy of our academic community. Applications are welcome from all qualified candidates. In line with UAE regulations, Emirati candidates are encouraged to apply. Join NYU Abu Dhabi, an exceptional place for exceptional people. NYUAD values belonging and respect; such principles are fundamental to the university’s commitment to excellence. NYUAD is an equal-opportunity employer. We welcome applications from all qualified candidates and seek individuals who will contribute to our vibrant, multidisciplinary research and teaching community. Multidisciplinary research and exceptional teaching in a global campus community are hallmarks of the University’s mission. @WorkAtNYUAD