Al-Jazeera University

About the job: We are seeking to recruit an exceptional and forward-thinking leader to take on the role of Head of Collections and Archives, a key strategic position within the Library. This is a rare opportunity to shape the future of one of the UK and Ireland's leading academic library collections, bringing together responsibility for internationally significant Special Collections with oversight of dynamic physical and digital collections that support research, teaching, and engagement. As Head of Collections and Archives, you will lead the development and delivery of an integrated collections strategy aligned with the University's ambitions for research excellence and student success, while shaping how collections are discovered, accessed, and used through digital innovation and transformation. You will provide strategic leadership for Special Collections, enhancing their visibility, impact, and reputation, and oversee significant collections investment to ensure alignment with academic priorities and maximum value. The role will also play a central part in shaping the Library's future spaces, balancing print, digital, and user needs in a rapidly evolving environment. Working collaboratively across the University and external partners, you will represent Queen's at national and international levels, and lead and inspire a high-performing team, fostering a culture of collaboration, inclusion, and continuous improvement. If you are someone who sets and achieves high standards and would like to be part of a collaborative and ambitious leadership team, we would welcome your application. About the person: The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria: A minimum of a degree (or equivalent qualification); OR Substantial relevant senior management experience. Significant senior leadership experience in a research library, archive, or cultural heritage environment. Experience of managing budgets and resources effectively. Strong track record of stakeholder engagement and partnership working. Experience of working with, and influencing, senior management. To be successful at shortlisting stage, please ensure you clearly evidence in your application how you meet the essential and, where applicable, desirable criteria listed in the Candidate Information on our website.

1 x full time, fixed term (2 years) position available in the School of Science within STEM College Salary Academic Level A ($80,755 - $109,536) + 17% Superannuation Based at the City, but may be required to work and/or be based at other campuses of the University About the Role We are seeking an engineer to develop next-generation photonic devices using artificial intelligence, inverse design methods, and physics-based modelling. The role is embedded within the ARC E2Crop Hub and the Centre for Atomaterials and Nanomanufacturing (RMIT University), which focus on renewable energy systems, intelligent sensing, advanced materials, and nanoscale device technologies. The successful candidate will develop machine learning approaches (including generative models and physics-informed neural networks) to design and optimise integrated photonic devices and metasurfaces. This includes building automated workflows that link electromagnetic simulation tools with AI models to accelerate device discovery and performance optimisation. The role involves applying computational methods such as topology optimisation, adjoint techniques, and data-driven modelling to identify high-performance, manufacturable photonic structures while accounting for fabrication limits and multi-physics effects. You will also contribute to internal software tools that support rapid prototyping and enable broader research teams to use AI-driven design methods. The position offers access to advanced computational infrastructure and fabrication facilities, supporting research at the intersection of photonics, AI, and nanotechnology. About You Deep understanding of waveguide optics, light-matter interaction, and plasmonics Proficiency with electromagnetic simulation tools (e.g., Lumerical FDTD/MODE, COMSOL Multiphysics, Ansys HFSS, or Meep) Familiarity with Photonic Integrated device design flow and foundry PDKs (Silicon Photonics, SiN, or III-V) Strong proficiency in Python and machine learning frameworks (PyTorch, TensorFlow, or JAX) Experience with photonic design techniques and global optimisation algorithms (Genetic Algorithms, Particle Swarm, Gradient Descent) Experience implementing deep learning architectures relevant to physics, such as CNNs for image-based field prediction, Graph Neural Networks (GNNs), or Physics-Informed Neural Networks (PINNs) Solid grasp of numerical methods, partial differential equations (PDEs), and linear algebra Experience with high-performance computing (HPC) or cloud-based simulation acceleration Experience with integrated photonic device fabrication and light-matter interactions Evidence of research output including high quality publications, conference contributions and/or technical reports in the field. Ability to generate alternative funding projects through effective liaison with industry and government. Ability to work autonomously whilst displaying a strong commitment to work in a team environment, including the demonstrated ability to confidently and effectively work with colleagues, project team leaders, and industry partners. Demonstrated ability to meet deadlines and effectively manage varying workloads and respond to changing priorities as required. Demonstrated high level of communication skills. Qualifications Mandatory: Ph.D. degree in Optical engineering, Applied Physics, or Computer Science Publication record in top-tier journals, demonstrating the application of machine learning to physical problems Experience with surrogate modelling to replace computationally expensive simulations Knowledge of lithography limitations and design-for-manufacturability (DFM). Problem-solving abilities for determining innovative solutions to the complex problems common to photonics design and fabrication. Attention to detail for ensuring precision in coding and model training - and enhancing the accuracy and reliability of AI modelling and data quality. Collaborative skills for working effectively with data scientists, software developers, and project managers. Adaptability, including a willingness to stay updated with the rapidly evolving field of frontier research and learn new techniques and technologies as they emerge. Communication skills for explaining technical project requirements, progress, and outcomes to non-technical stakeholders Please Note: Appointment to this position is subject to passing a Working with Children and National Police Check. To Apply Please submit your CV and covering letter and address the Key Selection Criteria for this position by clicking on the 'Apply' link at the top of this page. For more information on this role, please connect with Dr. Mingdeng Luo, ARC E2Crop Hub Manager at mingdeng.luo2@rmit.edu.au Position Description - Research Assistant, AI Driven Photonics Design Engineer Applications close on Tuesday, 23rd of June 2026. About RMIT University RMIT is a multi-sector university of technology, design and enterprise with more than 96,000 students and close to 10,000 staff globally. The University's mission is to help shape the world through research, innovation and engagement, and to create transformative experiences for students to prepare them for life and work. https://www.rmit.edu.au/about https://www.universitiesaustralia.edu.au/university/rmit-university Why work at RMIT University Our people make everything at the University possible. We encourage new approaches to work and learning, stimulating change to drive positive impact. Find out more about working at RMIT University, what we stand for and why we are an Employer of Choice. We want to attract those who will make a difference. View RMIT's impressive standings in university rankings. https://www.rmit.edu.au/about/facts-figures/reputation-and-rankings Bring Your Whole Self to Work We are better for our diversity. When we listen to those who are different to us, or challenge us, we grow stronger together. When we feel like we belong, we can achieve so much more. We respect each other, embrace our differences and build a sense of belonging in our team and beyond. We are proud that our dedication to diversity has been recognised by a broad spectrum of external organisations. Visit our Linkedin Life pages to learn more and see some of our most recent wins. RMIT has a strong dhumbali (commitment) to the employment, development and retention of Aboriginal and Torres Strait Islander people within a culturally safe environment; we strongly encourage applications from Aboriginal and Torres Strait Islander peoples. At RMIT, we are committed to supporting adjustments throughout the recruitment and selection process, as well as during employment. We actively support and encourage people with disability to apply to RMIT. To discuss adjustment requirements, please contact Dani (Senior Talent Advisor), via talentsupport@rmit.edu.au or visit our Careers page for more contact information - https://www.rmit.edu.au/careers RMIT is an equal opportunity employer committed to being a child safe organisation. We are dedicated to attracting, retaining and developing our people regardless of gender identity, ethnicity, sexual orientation, disability and age. Applications are encouraged from all sectors of the community and we strongly encourage applications from the Aboriginal and/or Torres Strait Islander community. We are a Circle Back Initiative Employer - we commit to respond to every applicant.

At the University of Vienna more than 11,000 personalities work together towards answering the big questions of the future. Around 7,700 of them do research and teaching, around 3,000 work in administration and organisation. We are looking for a Postdoc in Atmospheric Transport Modelling 53 Faculty of Earth Sciences, Geography and Astronomy Startdate: 11.08.2026 | Working hours: 40 | Collective bargaining agreement: §48 VwGr. B1 lit. b (postdoc) Reference no.: 5620 Explore and teach at the University of Vienna, where over 7,700 brilliant minds have found a unique balance of freedom and support. Join us if you’re passionate about groundbreaking international research and academic excellence. Ready to be part of our team? Let’s shape the future together! Your personal sphere of play: The research group “Atmospheric Transport Processes”, led by Prof. Andreas Stohl, is part of the Department of Meteorology and Geophysics. The group develops the Lagrangian transport model FLEXPART and studies all aspects of transport in the atmosphere, ranging from greenhouse gases to pollutants, water vapour and heat, and we use inverse modelling techniques to determine sources of greenhouse gases, radionuclides, or air pollutants. Our future research strategy also includes studies of the higher atmosphere. To learn more about our team, we invite you to visit our website: https://flexteam.univie.ac.at/. To learn more about FLEXPART, visit https://www.flexpart.eu/. We seek a highly motivated postdoctoral researcher, who will contribute to the research conducted in our team. While we expect you to work with the FLEXPART model, you can also propose your own research topics. These could be, for instance, theoretical and numerical improvements of FLEXPART, development of new application fields for the model, or novel applications of the model in research fields that we already cover (e.g., analysis of ice core data; transport of heat, water, greenhouse gases, radionuclides or air pollutants in the atmosphere; inverse modelling; Lagrangian re-analyses; transport climatologies). Your future tasks: Active participation in research, teaching, and administration, which means you will in particular: Contribute to the maintenance and further development of the Lagrangian transport model FLEXPART; Using FLEXPART, you will conduct research on topics that you can select yourself within the general interests of our group; Write and contribute to project applications and the acquisition of third-party funding, and help to manage projects; Provide scientific and technical support to team members, FLEXPART co-developers, PhD and master students; Teach independently within the scope of the provisions of the collective bargaining agreement, including the co-supervision of BSc and MSc theses; Publish your scientific results in peer-reviewed journals; Strengthen the collaborative culture of our team and the Department. You will require: Completed Ph.D. / Doctoral degree in the atmospheric sciences (e.g., meteorology, climatology), or a related field; Strong programming skills; Data analysis and interpretation experience that is guided by theoretical/physical understanding and not only by application of statistical methods or artificial intelligence; A good team spirit and willingness to collaborate; Very good command of the English language. These skills would be an advantage: Experience with Lagrangian transport models; Expert knowledge of programming, preferably in Python and/or Fortran. What we offer: A longer-than-average postdoctoral contract with freedom to choose your specialized research topics: This is a university-funded position that will allow you more freedom than typical project-funded positions. It will give you the chance to shape your research profile and establish yourself as a leading expert in the field. Inspiring and supportive working atmosphere: You will be part of an international team in a healthy and fair working environment with excellent research infrastructure. You will not perform your work in isolation but collaborate with a strong research team. Fair salary plus health care and social benefits: The gross salary of at least EUR 5.014,30 (payable 14 times per year) allows for a comfortable life in a vibrant city with affordable housing prices and quick access to the outdoors. Work-life balance: You have flexible working hours and the option to partly work remotely (within Austria) upon agreement. Training and coaching: We offer you the opportunity to develop your skills on an ongoing basis. Equal opportunities for all: We welcome diverse personalities in our team! The University of Vienna aims to become carbon neutral by 2030: We fully support low-carbon options for travelling. The position is available from 11 August 2026, but a later starting time is possible. The review of applications will begin on 25 June 2026. The search will continue until the decision is made but we aim for a decision as soon as possible after that. We offer an initial contract for three years. This contract can be extended to six years in total by mutual agreement. It is that easy to apply: With a short letter stating your interest in the position, and ideas of what you would like to do with FLEXPART; With your CV including a list of publications; With contact details of two persons who could provide a recommendation upon request; Via our job portal / Apply now - button. If you have any content questions, please contact: Andreas Stohl andreas.stohl@univie.ac.at We look forward to new personalities in our team! The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates. University of Vienna. Space for personalities. Since 1365. Data protection Application deadline: 06/24/2026 Post Doc