Guru Nanak Dev University

The University of Surrey has been a pioneer in space engineering and small satellite innovation for more than four decades. Building on this heritage, the Surrey Space Institute is the University’s newest Pan‑University Institute. This bold, interdisciplinary hub brings together world‑leading expertise to shape the future of space research, policy, and innovation. As the Space Institute enters an exciting phase of growth, we are seeking an outstanding operational leader to join us as Head of Institute Operations. This is a rare opportunity to help build and shape a major new Institute at the heart of Surrey’s expanding space ecosystem. The role This is a delivery focussed leadership role with significant scope to shape how the Space Institute operates, grows and collaborates. Working closely with the Director and Co‑Directors, you will turn strategic ambition into operational reality, ensuring the Institute has the systems, partnerships, and professional services support required to deliver world‑class research, innovation, and education. You will: Lead the operational delivery of the Institute’s strategy, translating long‑term vision into clear plans, milestones and outcomes. Build and manage the Institute’s operational infrastructure, ensuring efficient, resilient and future‑ready systems. Drive the Institute’s partnership and collaboration strategy, strengthening connections across the University and with industry, funders, government agencies and international partners. Oversee financial planning and resource management, ensuring robust investment cases, effective budget control and alignment with University priorities. Manage compliance, risk, health and safety, business continuity and data governance. Represent the Institute across the University and externally, supporting the development of cross‑Faculty research teams and raising the Institute’s profile. This role is ideal for someone who thrives in complex environments, enjoys building relationships across diverse communities, and takes pride in delivering operational excellence at scale. About you You will be an experienced operational leader with a strong track record in complex organisations, ideally including higher education, research, innovation or partnership‑driven environments. You’ll bring: Experience developing and delivering strategies, major initiatives and operational programmes. Strong organisational leadership skills, with the ability to influence, motivate and develop high‑performing teams. A proven ability to manage large, complex bids, partnerships or multi‑stakeholder programmes. Excellent communication and relationship‑building skills, with the ability to work confidently across technical and non‑technical communities. Sound financial management experience and the ability to build robust business cases. An innovative, solutions‑focused approach, with the confidence to make decisions where there is little precedent. Experience of stakeholder engagement, partnership building and external representation. Experience in space-related strategy, communications or partnership development is desirable, as is experience working with research funders, investors or innovation‑focused organisations. What we can offer In addition to a competitive salary you will receive 25 days annual leave, with additional days for Bank Holidays and University closure days. We offer a generous pension, flexible working options, access to world-class leisure facilities, a range of travel schemes and supportive family friendly benefits including an excellent on-site nursery. Further information Candidates are warmly encouraged to contact Prof Adam Amara for an informal conversation about the role via a.amara@surrey.ac.uk (noting that the University is closed 25th December - 4th January inclusive). At the University of Surrey, we celebrate the diversity of our community and are committed to creating an inclusive environment where everyone can thrive. We welcome applications from candidates of all backgrounds, and we particularly encourage applications from groups underrepresented in leadership roles. Further details Job Description

The University of Southampton is inviting applications for a postdoctoral position in gravitational-wave astronomy. The successful candidate will join Greg Ashton’s STFC-funded programme, Advancing Gravitational-Wave Astronomy Using Artificial Intelligence, to work on computational Bayesian inference methods and their astrophysical applications.  Southampton's School of Mathematical Sciences is home to a large research group in gravitational physics, comprising 9 staff members, over 15 postdoctoral researchers, and approximately 15 PhD students. Research in the group includes black-hole and neutron-star physics, gravitational-wave source modelling and data analysis, gravitational self-force modelling and numerical relativity. The group is involved in the LIGO Scientific Collaboration, the LISA Consortium, the Einstein Telescope collaboration and the Cosmic Explorer consortium.  Candidates should demonstrate a track record of research in gravitational-wave astronomy. The applicant will have, or be about to obtain, a relevant PhD degree in physics or mathematics.  This is a full-time post, available from the 5th of January 2025 or as soon as possible thereafter. The post is funded for two years with the possibility of a 1-year extension. Applications for Research Fellow positions will be considered from candidates who are working towards or nearing completion of a relevant PhD qualification. The title of Research Fellow will be applied upon successful completion of the PhD. Before the qualification is awarded, the title of Senior Research Assistant will be given.  A complete application should include (i) a CV, including a list of publications, (ii) a statement of research interests (1 to 2 pages), and (iii) the contact information of at least two referees.  Informal enquiries may be made to Greg Ashton at Gregory.Ashton@ligo.org

Full time, 2-year fixed term position. Located on the Darlington Campus for the School of Civil Engineering Opportunity to help scale breakthrough hydrogen storage technology through advanced automation in clean energy manufacturing Base Salary $113,400 - 151,328 (Academic Level A/B) + 17% superannuation About the opportunity Hydrogen (H2) is widely recognised as a clean energy vector essential for decarbonising hard-to-abate sectors. Currently the large-scale deployment of hydrogen remains constrained by the limitations of storage technologies, which rely on either high-pressure compression or cryogenic liquefaction-both of which are energy-intensive, costly, and pose significant safety risks. Rux Energy (Rux) is addressing this challenge by commercialising a breakthrough hydrogen storage solution based on patented nanoporous materials. Rux are at an exciting point in scaling their manufacturing processes, and in order to achieve a cost-competitive product this process must be optimised. Automation plays a significant role in improving efficiency, cutting costs, and streamlining the manufacturing process at scale. This project will build on our current capabilities to utilise automation to collect, process, and analyse data in the manufacturing process. The project is a partnership between Rux Energy and USYD and is a multi-disciplinary effort between scientists and engineers. We are looking for a Postdoctoral Research Associate to work within the project to bring innovation to different aspects of the project. We offer immersive support from prestigious academic supervisors and industry leaders. If you are passionate about research, but want to see your ideas become reality, this is the project for you. Your key responsibilities will be to: Phase 1: Manufacturing data integration The first phase of this project will involve identifying, sourcing, and installing various sensing equipment in Rux's in micropilot plant. The data from these sensors will be integrated into an existing platform composed of open-source, commercial and in-house developed software. Finally, QC points and a live process tracking system will be developed by extending the existing platform through adoption or development of new components. Phase 2: Using big data insights to optimise the manufacturing process The second phase of this project will focus on processing and utilising machine-learning techniques to analyse large volumes of data from sensors installed in Phase 1. The aim will be to merge the QC points and tracking system developed in Phase 1 with AI to develop predictive maintenance capabilities and extract insights about the manufacturing process, such as: Identify any key parameters in the mfg process that impact material performance Optimise power/energy usage throughout the process The outcome will be to optimise the manufacturing process on the micro-pilot scale to improve efficiency and product quality. About you PhD in data science or mechanical/chemical/computer engineering or related area digital twin and systems engineering, with the ability to model, simulate, and optimise complex manufacturing processes industrial automation engineering, including designing, integrating, and improving automated systems for scalable production data ingestion, analysis, and visualisation, turning raw manufacturing data into actionable insights for process optimisation software development, particularly using Python, JavaScript, and HTML/CSS to build tools, automate workflows, and support data-driven decision making excellent communication and report writing skills, enabling clear documentation, effective collaboration, and high quality technical reporting. 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. 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 are trust, accountability and excellence and we strive to be a place where everyone can thrive. We are committed to creating a University community that thrives through diversity and reflects the wider community that we serve. We deliver on this through our commitment to diversity and inclusion, evidenced by 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. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold employer. Find out more about our work on diversity and inclusion. 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 Nicole Turle, Recruitment Operations by email to nicole.turle@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 Sunday 18 January 2026 11:59 PM