University of Adelaide

Department: School of Business Vacancy ID: 039383 Closing Date: 25-Jan-2026 Maynooth University is committed to a strategy in which the primary University goals of excellent research and scholarship and outstanding education are interlinked and equally valued.  The International Research on Energy Systems Intergration, Education & Environment for Sustainability and Innovation Center(IRESI), is a research centre housed in the School of Business. IRESI's research focuses on propelling sustainable energy systems into the future by helping individuals, organisations and institutions in the pursuit of a cleaner, greener, and more sustainable energy landscape. We are seeking a highly strategic, forward-thinking, and technically skilled Lead Technology Officer to lead the full technology vision, strategy, and execution for the RENEW project. The LTO will oversee the design, integration, deployment, and evaluation of all technical systems involved in the 300-home pilot, ensuring that the technological infrastructure supports research goals, regulatory requirements, and long-term scalability.  As the senior technical leader, the LTO will manage and guide the Product Owner, Hardware Specialist, Software Consultant, and Research Assistant to ensure seamless coordination across hardware, software, data collection, and user experience components. The LTO will play a key role in transforming research insights into robust, user-centered, and commercially viable solutions that advance the mission of the RENEW initiative.  This role is ideal for a leader who can combine technical expertise with strategic oversight, stakeholder coordination, and innovation-driven decision-making.  Salary: €72,095 p.a. (Point 1) Appointments will be made in accordance with public sector pay provisions. Closing Date: 23:30hrs (local Irish time) on Sunday, 25th January 2026. Applications must be submitted by the closing date and time specified above. Any applications which are still in progress at the closing time on the specified closing date will be cancelled automatically by the system. Late applications will not be accepted. Maynooth University is an equal opportunities employer The position is subject to the Statutes of the University

About Us The Hainan Bielefeld University of Applied Sciences (BiUH) is the first international independent university in the Hainan Free Trade Port. Our approach combines theory and practice following the renowned "Work-Integrated University-Industry Collaborative Talent Training Model." We offer cutting-edge programs in high-demand fields: Digital Technologies, Computer Science, Logistics Engineering, Industrial Engineering, Mechatronics and Automation, Software Engineering and Business Administration. Our students benefit from small classes, English-language instruction with accompanying German courses, and intensive learning experiences. The focus is on mastering real-world professional challenges, enabling students to apply their knowledge immediately and preparing them optimally for the global job market. We combine international teaching standards with the unique opportunities that Hainan offers. BiUH is located in the Yangpu Economic Zone in Danzhou, a historic coastal city with direct high-speed rail connections to Haikou and Sanya. We invite passionate educators and researchers at all career stages, from early-career lecturers to established professors, to join our team. Both full-time and part-time positions are available for those committed to application-oriented education. Job Responsibilities Design and teaching foundational mathematics courses at the university level, including Calculus (single-variable and multivariable calculus), Linear Algebra, Probability and Statistics, Computational Methods (Numerical Methods), Differential Equations and their numerical solutions, while also instructing students in using software to solve mathematical problems (e.g., MATLAB, Mathematica, C++, Python) Collaborate with faculty from relevant student majors to design practical teaching modules that integrate mathematics with specific disciplinary applications, ensuring course content reflects real-world use cases Develop engineering modules applied in the "Learning Factory" environment and actively promote experimental mathematics projects within practice-embedded industry internships Contribute to the academic community through research output and scholarly activities Participate in the design and optimization of syllabi, textbooks, and teaching resources Integrate AI-powered educational tools to enhance instruction and align courses with practice-integrated education principles Mentor students in academic, career, and internship planning Job Qualifications PhD in Applied Mathematic or a relevant discipline Practical experience in Digital Technologies, Computer Science, Software Engineering, Digital Logistics, Business Administration, Business Inform. Systems, International Business Mgmt, Mechanical, Electrical, Mechatronics, or Industrial Engineering is highly preferred Prior study experience abroad will be an advantage Capable of delivering courses entirely in English with professional proficiency Experience with programming languages, numerical simulation, or AI-enhanced teaching tools is preferred English is required (B2 or above); German is desirable Expected Onboarding Time Autumn Semester 2026 (August 2026) Salary and Benefits Competitive Salary in the Market (13th Month Salary) Allowance: Travel Allowance / Phone Allowance / High Temperature Allowance, Etc. 5 Types of Social Insurance and 1 Housing Provident Fund Commercial insurance Transitional Apartments Arrangement Working environment that is open to the world and strongly oriented towards sustainability, diversity and internationality How to apply Please prepare the following documents: Current English CV (including full publication list) Cover Letter (addressed to the Principal) 2 Reference Letters Teaching Qualification Documents, Qualifications (if available) Documents certifying the professor's (if available) Academic Degree Certificates Please import all files into one PDF Please name the PDF as "Position - Your Name" Please send all files to recruitment@hainan-biuh.edu.cn

About us  King’s College London invites applications for a Postdoctoral Research Associate (PDRA) in GeoAI and Spatial Epidemiology to join the GeoAI for Health Equity Lab (GAHEL, pronounced “gail”) led by Dr. Sabrina Li. The PDRA will contribute to Dr. Li’s UKRI-funded Future Leaders Fellowship project which focusses on integrating equity considerations into infectious disease mapping and surveillance, starting with the UK. The PDRA will be based in the Department of Geography, but will have access to training and support from King’s Health Partners Digital Health Hub, King’s Institute for Artificial Intelligence, and the Digital Futures Institute. The PDRA will also have access to research and career development from King’s Centre for Research Staff Development. The postholder will work closely with Dr. Li and in collaboration with national and international interdisciplinary partners based at the UK Health Security Agency (UKHSA), University of Cambridge, Imperial College London, and John Hopkins University (USA). About the role The PDRA will advance next-generation mapping methods for equitable and intelligent epidemic surveillance, contributing to the development of scalable GeoAI systems that improve understanding of health risks across populations and space. The PDRA will contribute to the development of a database of high-resolution equity indicators and apply cutting-edge GeoAI and spatial data science techniques to model and classify population health risk and disease dynamics at multiple spatial and temporal scales. The PDRA will lead the development of novel approaches for managing confidential spatial health data, including differential privacy and other secure geospatial data protocols. This research will advance our understanding of how major infectious diseases of concern in the UK emerge, spread, and unequally affect different individuals and population groups. Outcomes of this research will help advance the development of more equitable, spatial data-driven approaches to public health surveillance and pandemic preparedness, with direct links to public health policy. The findings will inform the development of a real-time spatial AI system to improve early detection and risk prediction, to protect vulnerable populations in the UK and in the future globally. This is a full-time post (35 hours per week), and you will be offered a fixed term contract until September 2030. Part time employment may be considered. Research staff at King’s are entitled to at least 10 days per year (pro-rata) for professional development. This entitlement, from the Concordat to Support the Career Development of Researchers, applies to Postdocs, Research Assistants, Research and Teaching Technicians, Teaching Fellows and AEP equivalent up to and including grade 7. Visit the Centre for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in spatial epidemiology, quantitative geography/remote sensing, ecology, statistics, engineering, quantitative social sciences, or a related discipline.  Experience in developing models and mapping with real world data, with strong programming proficiency in R or Python and version control systems like Git. Familiarity with spatial and statistical libraries (e.g. INLA, PyMC, scikit-learn, GeoPandas). Proven ability to work independently. Track record in publishing peer-reviewed papers. Demonstrated ability to collaborate effectively within teams, with a strong commitment to fostering a fair and inclusive work environment. Excellent written and oral communication skills, including to diverse audiences.  Desirable criteria Experience managing stakeholder relationships and working in a practitioner/policy context. Experience working on interdisciplinary research projects. Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in the Job Description document, provided at the bottom of the page. This document will provide information of what criteria will be assessed at each stage of the recruitment process. Please note that this is a PhD level role but candidates who have submitted their thesis and are awaiting award of their PhDs will be considered. In these circumstances the appointment will be made at Grade 5, spine point 30 with the title of Research Assistant. Upon confirmation of the award of the PhD, the job title will become Research Associate and the salary will increase to Grade 6.  Further information We pride ourselves on being inclusive and welcoming. We embrace diversity and want everyone to feel that they belong and are connected to others in our community. We are committed to working with our staff and unions on these and other issues, to continue to support our people and to develop a diverse and inclusive culture at King's. As part of this commitment to equality, diversity and inclusion and through this appointment process, it is our aim to develop candidate pools that include applicants from all backgrounds and communities. We ask all candidates to submit a copy of their CV, and a supporting statement, detailing how they meet the essential criteria listed in the advert. If we receive a strong field of candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. To find out how our managers will review your application, please take a look at our ‘How we Recruit’ pages. Grade and Salary: £45,031 - £52,514 per annum including London Weighting Allowance Job ID: 135325 Close Date: 24-Feb-2026 Contact Person: Sabrina Li Contact Details: Sabrina.Li@kcl.ac.uk