University of Pretoria

Description The Bias, Ethics, and Privacy Cluster within the Center for Interdisciplinary Data Science and Artificial Intelligence (CIDSAI) at New York University Abu Dhabi seeks to recruit a Postdoctoral Associate under the supervision of Professor Hanan Salam to work on the development of frameworks, tools, and theoretical foundations for bias detection and mitigation in AI & data science, with a particular focus on applications relevant to the Arab world. The successful applicant will join a multidisciplinary research team working at the intersection of machine learning, algorithmic fairness, human-computer interaction, and responsible AI. The project aims to investigate how bias emerges in data pipelines and AI systems, understand the design and development decisions that propagate social biases, and develop theoretical and algorithmic approaches to mitigate them. Key responsibilities include developing bias detection tools, building fairness-aware algorithms, and contributing to practical guidelines and theoretical frameworks that address systemic bias in data-driven systems. This position offers the opportunity to work in a vibrant research environment with faculty and collaborators across computer science, data science, design, and ethics, and to contribute to high-impact research that shapes the development of equitable and inclusive AI technologies in the Arab region. Applicants must have a PhD in Computer Engineering, Computer Science, Data Science, AI, HCI, or a closely related field, and a strong track record of research in areas such as algorithmic fairness, bias in machine learning, ethics in AI, or sociotechnical systems. Strong programming and data analysis skills are essential. Preferred qualifications include experience working with interdisciplinary research. Applications will be accepted on a rolling basis and candidates will be considered until the position is filled. For consideration, applicants need to submit in PDF format: Cover letter Curriculum vitae with full publication list Research statement highlighting past and current research experience Research project explaining how the candidate sees their research fit in the research axes of the lab At least two letters of reference, all in PDF format The appointment will be for 1 year, with the option to renew further depending on performance (in total not to exceed 5 years). More information about professor Hanan’s lab can be found here: https://wp.nyu.edu/smartlab/ If you have any questions, please email Prof. Hanan Salam at hanan.salam@nyu.edu. The terms of employment are very competitive and the position provides salary higher than internationally competitive rates for Post-Doctoral positions, in addition to substantial benefits (generous housing, transportation and travel allowances, educational subsidies for children), together with full health insurance and retirement contributions. The UAE does not levy income tax. 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.

Make a meaningful contribution to alumni engagement by ensuring accurate, high‑quality data that supports connection, communication and community. Join a collaborative, purpose‑driven team within a leading Australian university, with opportunities to build practical CRM and data management experience. Part-time (0.6 FTE) appointment on a fixed term basis for 12 months. Base salary range: $66,987 – $74,199 p.a. (pro-rata) plus 17% superannuation. About the area Development and Alumni Relations (DAR) lead the University’s alumni, philanthropic and community engagement strategies. Working collaboratively across the University, the team supports meaningful, long‑term relationships with graduates and supporters, helping to advance the University’s strategic goals through engagement, communication and data‑driven insights. About the opportunity Update and maintain alumni and community records, including processing contact detail updates and postal returns, ensuring data accuracy and compliance. Support the Advancement Services team by completing a range of routine and ad‑hoc data updates within the CRM system, in line with established processes and priorities. Contribute to a collaborative team environment by undertaking other related administrative tasks as directed to support program delivery and engagement outcomes. About you Completion of Year 12 or a Certificate II, with relevant work experience, or an equivalent level of competency. Demonstrated experience in data entry or administrative support, with the ability to manage routine tasks accurately and efficiently. Well‑developed written and verbal communication skills, with the confidence to support senior staff and work effectively within a team environment. Strong organisational skills, including the ability to prioritise tasks and meet deadlines in a structured work setting. Experience using the Microsoft Office suite and web‑based applications; exposure to CRM or customer databases is desirable but not essential. Note: Employment checks will include information on gender-based violence, sexual harassment, and related misconduct to meet legal obligations. Position description:  Data Entry Assistant PD.pdf To learn more about this opportunity, please contact Louisa Webb at Louisa.Webb@uwa.edu.au How to apply Please apply online via the Apply Now button. The content of your Resume and Cover Letter should demonstrate how you meet the selection criteria. Closing date: 11:55 PM AWST on Monday 18th May, 2026 This position is only open to applicants with relevant rights to work in Australia Please note: Unsolicited applications from recruitment agencies will not be accepted outside of formal channels. About the University The University of Western Australia (UWA) is ranked among the top 100 universities in the world and a member of the prestigious Australian Group of Eight research intensive universities. With a strong research track record, vibrant campus and working environments, there is no better time to join Western Australia’s top university. Learn more about us. Our commitment to inclusion and diversity UWA is committed to a diverse workforce and an equitable and inclusive workplace. We are committed to fostering a safe environment for all, including Aboriginal and Torres Strait Islander people, women, those from culturally and linguistically diverse backgrounds, the LGBTIQA+ community, and people living with disability. If you require any reasonable adjustments, we encourage you to advise us at the time of application. Alternatively, you can contact us for assistance during the recruitment process. If you have queries relating to your application, please contact the individual named in the advertisement. Alternatively, please contact the Talent team at people@uwa.edu.au with details of your query. To enable a quick response, please include the 6-digit job reference number.

Job Purpose 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.  The primary responsibility of this role is to deliver on an industry innovation research project where you will be part of the research team to conduct applied AI research in visual generation models, agentic AI, focusing on applications in creative content generation.  Key Responsibilities Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Undertake these responsibilities in the project: Conduct applied AI research in visual generation models, agentic AI. Collaborate with industry partners to develop AI solutions to address real-world problems. Develop and maintain research prototypes and software. Publish impactful research findings and present work for knowledge sharing. Work independently, as well as within a team, to ensure high-quality delivery.  Job Requirements Have relevant competence in the areas of computer vision. Have a Bachelor’s or Master’s degree in computer science, data science, AI, or related fields. Knowledge of visual generation and multimodal LLM will be advantageous. Key Competencies Proficiency in programming languages (e.g., Python and C++), and familiarity with AI frameworks (e.g., PyTorch). Self-directed learner who believes in continuous learning and development. Proficient in technical writing and presentation. Possess strong analytical and critical thinking skills. Show strong initiative and take ownership of work.