University of Tabuk

Part time (0.6 FTE), fixed term opportunity until January 2028 Opportunity to provide research excellence through high level animal welfare Exciting opportunity to work as an Animal Technician within the School of Medical Sciences Base Salary starting at $90,155 pro rata + 17% superannuation Primarily based at ANZAC Research Institute, Concord with regular rostered days within the Camperdown Laboratory Animal Services facilities About the opportunity The School of Medical Sciences is recognised as one of the leading centres for medical science education in the world. With over 100 years of excellence in education, we are proud to be training the next generation of medical scientists who will be leading members of the medical research community with an innovative integrated curriculum. Our team of researchers lead key internationally competitive research from molecules to medicines, from patient to policy across a range of therapeutic areas. We are seeking an Animal Technician to provide animal husbandry services and support the daily operations of the ANZAC animal facility. The role involves ensuring animal welfare compliance, managing facility supplies, overseeing contractor onsite operations, and supporting the effective operation of research animal environments. Your key responsibilities will be to: provide animal husbandry services, ensuring animal welfare standards and regulatory compliance complete routine animal husbandry tasks, including cage changing, health monitoring, cage preparation and cleaning provide technical assistance where required or directed and be able to operate facility equipment. ensure the accuracy of animal records and communicate any animal welfare concerns and provide assistance in resolving these as directed. Collect and submit data for regulatory compliance, financial operations and human resources manage the ordering, stocktake and use of consumables, monitor equipment and infrastructure, and oversee facility cleanliness, safety and maintenance requirements. engage with stakeholders to address concerns, gather feedback, and maintain effective communication channels administer reporting processes, maintain accurate data within university and local health district systems, and contribute to compliance with regulations have a commitment to animal welfare and the use of animals in research in accordance with the NSW Animal Research Act 1985 and understanding other legislation the facility operates under. perform work activities relevant to the role's key accountabilities as approved by the manager and commensurate to the role's classification level., About you tertiary education in a relevant field or an equivalent combination of relevant training and experience experience working in laboratory animal facilities knowledge of animal breeding systems and reporting requirements skills in organisation and time management and attention to detail computer literacy and ability to maintain accurate records, experience with animal databases ability to communicate effectively, provide customer service, and work collaboratively in a team. willingness to participate in weekend or overtime rosters as required. have a general level of fitness and be able to lift and push up to 15kg hold a valid Australian Driver's License. Sponsorship / work rights for Australia Work Rights: you must have unrestricted work rights in Australia for the duration of this employment to apply. Visa sponsorship is not available for this appointment. Pre-employment checks Your employment is conditional upon the completion of all role required pre-employment or background checks in terms satisfactory to the University including attending a pre-commencement medical assessment. 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 include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through 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 LGBTIQ. We welcome applications from candidates from all backgrounds. How to apply Applications (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 Ajaypal Singh, Recruitment Operations by email to ajaypal.singh@sydney.edu.au. © The University of Sydney The University reserves the right not to proceed with any appointment. Click to view the Position Description for this role. Applications Close Tuesday 02 June 2026 11:59 PM

Assistant Professor / Associate Professor / Professor in Aerospace MRO (Smart Maintenance & Repair Systems) The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. SIT’s centralised campus within the Punggol Digital District features a vibrant learning environment where academia and industry are tightly integrated with the community. SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience. SIT is strengthening its capabilities in Aerospace Maintenance, Repair and Overhaul (MRO), building a cohort of faculty who are experienced in solving real-world aerospace maintenance challenges through applied research and innovation. Focus areas for Aerospace MRO include: Smart Maintenance & Predictive Diagnostics Digital Twins & Lifecycle Engineering Robotics & Autonomous Inspection Systems Composite Structures Inspection & Repair Advanced Repair Technologies (e.g. Additive Manufacturing) Responsibilities: Lead and contribute to applied research projects with industry partners and government agencies in Aerospace MRO Develop and teach Aerospace MRO-related modules within SIT’s Aircraft Systems Engineering (ASE) and interdisciplinary programmes Supervise Industry Doctorate/Masters and capstone projects in collaboration with domain faculty and industry partners Contribute to SIT’s continuing education and workforce upskilling programmes (CET/CSM) Drive translational research outcomes, including deployment of solutions in operational MRO environments Serve as a technical mentor across disciplines (AI, robotics, materials), enabling cross-domain integration for smart MRO systems Qualifications: PhD in Aerospace Engineering, Mechanical Engineering or a closely related discipline Strong track record in Aerospace MRO, aerospace systems, or related applied research/industry practice Technical expertise and deep knowledge of one or more of the following areas: Predictive Maintenance & Prognostics (PHM) Structural Health Monitoring (SHM) and NDT/NDI Digital Twins and physics-informed modelling Aerospace robotics and autonomous inspection systems Composite materials, damage detection, and repair Additive manufacturing for aerospace repair (flight-certified applications) Aircraft systems, gas turbine maintenance, or MRO best practices Circular economy and sustainable aerospace maintenance Experience Applying Expertise to one or more of the Following: Commercial or military Aerospace MRO operations Smart hangar / digital MRO transformation initiatives AI-enabled inspection and diagnostics systems Robotics deployment in maintenance environments Lifecycle management of composite aircraft structures Industry-scale maintenance optimisation and downtime reduction Demonstrated leadership and evidence of working on industry/society-defined problems Experience with industry research collaborations, applied research grants, and/or system deployment Established thought leadership and/or professional standing e.g. publications in top journals and keynotes, in addition to non-publication outputs and impact such as open-source tools, technical reports, patents, deployed systems Demonstrated track record of cross-disciplinary collaborations Ability to communicate clearly with domain experts, industry practitioners and general public What SIT offers: An applied research environment, working together with industry partners, to tackle real-world problems SIT values applied research impact and evaluates faculty accordingly on how their research had made a difference to society or industry Opportunities to work on a coherent applied AI research agenda with colleagues across disciplines Access to SIT’s Living Lab Network and Punggol Digital District ecosystem as testbeds for applied research A meaningful role in building Singapore’s applied Aerospace MRO research capability at a pivotal moment Singapore’s exceptional quality of life, competitive personal tax environment, and position as Asia’s leading research and innovation hub How to apply: Candidates should submit the following: Curriculum vitae including grants, publications, patents, and deployed systems Cover Letter Research statement (up to 2 pages) outlining your Aerospace MRO research programme and industry relevance Teaching statement (up to 1 page) on applied learning approach Three key research outputs with impact description

About UM6P: Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally. About IWRI: The International Water Research Institute (IWRI) provides research, education, and innovation in the fields of water and climate. In order to face the next challenges. IWRI seeks to rethink and adapt research development, innovation, and training to new paradigms. It is an institute that outlines forward-thinking pathways to address water issues in a systemic manner in Africa. IWRI's vision is to Lead and develop integrated research and processes for Water & Climate concerns in Africa. We act as an African water hub through strategic cooperation and partnerships. We share comprehensive and diverse expertise to provide scientific information by focusing on four pillars: Integrated water resources management, Climate change and adaptation, Hydroinformatics, and Water technologies. Position Summary: The International Water Research Institute (IWRI) of the College of Agriculture and Environmental Sciences (CAES) at UM6P invites applications for a postdoctoral researcher in climate modeling and uncertainty quantification, focusing on extreme precipitation in data-scarce regions, with Morocco as a primary case study. Extreme precipitation events are inherently rare and poorly observed, particularly in regions with sparse and heterogeneous monitoring networks. Climate models therefore play a central role in understanding and projecting such extremes, yet they introduce multiple sources of uncertainty that propagate across scales. This project aims to systematically quantify and interpret these uncertainties across the hierarchy of climate models, from global to convection-permitting scales. Scientific context: Climate projections rely on a hierarchy of models with increasing spatial resolution, each introducing distinct sources of uncertainty that affect the simulation of extreme precipitation. Global Climate Models (GCMs) provide physically consistent representations of large-scale atmospheric circulation and climate variability, but their coarse resolution limits their ability to resolve key processes such as orographic forcing and mesoscale convection. Regional Climate Models (RCMs) dynamically downscale GCM outputs to finer resolutions, improving the representation of topography and land–atmosphere interactions, yet they remain strongly dependent on boundary conditions and continue to rely on parameterized convection, which is a major source of error in extreme precipitation. Convection-permitting models (CPMs), operating at kilometer-scale resolution, explicitly resolve deep convection and have demonstrated improved skill in simulating short-duration and high-intensity precipitation events; however, their high computational cost limits ensemble sizes, and their uncertainty structure remains insufficiently explored, particularly due to sensitivities to boundary forcing and physical parameterizations. Understanding how uncertainty propagates across the GCM–RCM–CPM modeling chain is therefore a central challenge, especially in regions such as Morocco, where complex topography (Atlas Mountains, Rif Plateau), diverse climatic influences, and limited observational data combine to produce highly variable and poorly constrained extreme precipitation patterns. Research Scope: The postdoctoral researcher will investigate uncertainty propagation across multi-scale climate modeling frameworks by combining multi-model datasets (e.g., CMIP6, MIT Regional Climate Model simulations, and convection-permitting simulations) with dynamical and statistical downscaling approaches, extreme value theory, and spatial statistics. The work will focus on decomposing uncertainty into its key components while assessing the added value of high-resolution convection-permitting models for extreme precipitation. Particular attention will be given to observational uncertainty in sparse data environments through the integration of station, satellite, and reanalysis datasets. The project will also develop and apply advanced uncertainty quantification methods with the objective of providing robust guidelines for climate modeling of extremes in data-scarce and topographically complex regions. Candidate Profile: PhD in climate science, atmospheric physics, applied mathematics, or related field Expertise in climate modeling and/or uncertainty quantification Strong programming skills (Python, MATLAB, Fortran, or similar) Experience with climate datasets and/or extreme event analysis is desirable Proven ability to handle HPC environements is an added asset