University of Leeds

Job Description FACULTY OF SCIENCE DEPARTMENT OF MATHEMATICS The Department is strongly committed to producing top-class research in the areas of applied mathematics, scientific computing and statistics, while simultaneously emphasises the nurturing of students from a wide range of academic backgrounds. It receives allocation from Science Faculty Niche Research Area to establish world-class research teams to develop the necessary experimental platforms, modelling and data analysis capabilities. Research Assistant Professor (25260446) Responsibilities: The Department is recruiting one scholar at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original methodologies are preferred. Requirements: Applicants should possess a relevant PhD degree with a solid and outstanding track record in research. They should have a solid statistical background, and a strong commitment to excellence in teaching and mentorship. The initial appointment will be made on a fixed-term contract of two years. Salary will be commensurate with qualifications and experience. Application Procedure: Applicants are invited to submit their applications at the HKBU e-Recruitment System with samples of publications, preferably three best ones out of their most recent publications/works. They should also request two referees to send in confidential letters of reference, with job identification number (stated above) quoted on the letters, to the Human Resources Office (Email: hro@hkbu.edu.hk) direct. Those who are not invited for interview 2 months after submission of application may consider their applications unsuccessful. All application materials including publication samples, scholarly/creative works will be disposed of after completion of the recruitment exercise. Details of the University’s Personal Information Collection Statement can be found at https://hro.hkbu.edu.hk/en/worklife-at-hkbu/employee-favourable-environment.html#privacy-policy. The University reserves the right not to make an appointment for the post advertised, and the appointment will be made according to the terms and conditions applicable at the time of offer. Review of applications is ongoing until the position is filled.

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. Key Responsibilities Participate in and manage the research project with the Principal Investigator (PI), co-PIs, research team and industry partners to ensure all project deliverables are met. Conduct insights-driven evaluations of existing QA/QC testing practices and identify opportunities to enhance efficiency and reduce redundant testing while maintaining compliance. Curate, standardize and integrate historical and statistical data to form the foundation of a structured database for construction QA/QC and traceability. Design and implement a digital chain-of-custody framework that captures assurance records including mill certificates, fabrication data, inspection results and carbon footprint information. Develop, train and validate AI models to automate QA/QC processes, enabling real-time verification, anomaly detection and consistency checks across records. Develop a cloud-based verification platform for digital data collection and real-time analytics. Develop and apply non-destructive testing (NDT) methods and data-driven approaches to determine material properties of reclaimed steel. Investigate geometric imperfections, accumulated deformations, and their impact on structural performance, particularly for compression members. Develop data-driven reusability assessment platforms integrating NDT data, machine learning models, and RFID-enabled traceability systems. Prepare and draft technical reports, conference/journal papers, and presentation materials; present research findings to internal reviews, industry partners and stakeholders. Engage with industry stakeholders throughout development, testing and refinement to ensure alignment with real-world requirements. To communicate in any relevant internal or external stakeholders to ensure project deliverables are met. Any ad-hoc duties assigned by Supervisor.  Job Requirements Master’s degree in Computer Science, Data Science, Civil/Construction Engineering, Engineering Systems or equivalent. Strong foundation in data engineering, AI/ML development, and software systems (e.g., data pipelines, cloud services, dashboards, web-based application development). Experience in handling real-world datasets and model development/deployment workflows. Domain expertise in building construction/civil/structural engineering, including familiarity with building management systems, software integration, data collection and analysis. Knowledge of construction QA/QC and quality control workflows (e.g., inspection processes, test documentation, traceability and compliance records) is an advantage. Strong background in structural engineering, structural mechanics, or steel structures. Familiarity with non-destructive testing (NDT) techniques for structural materials is desirable. Experience with structural modelling and analysis tools (e.g., finite element modelling, structural simulation) is desirable. Good interpersonal, written and verbal communication skills, with the ability to work independently and in multidisciplinary teams. Strong analytical and conceptual abilities; able to work both in a team and independently. Able to work under pressure and meet deadlines. Key Competencies Proficient in Python or other equivalent programming languages. Strong foundation in data analytics and data-driven modelling. Able to build and maintain strong working relationships with people within and external to the university. Able to work independently with strong data analytical skills, communication and interpersonal skills. 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.

Position Details  Continuing | Full Time Academic Level B | $113,211 - $133,974 pa plus 17% Super Location: Bedford Park / Kaurna Country View Position Description About the Position The College of Human Sciences and Culture is seeking a Lecturer in Early Childhood Education to play a pivotal role in shaping South Australia’s evolving early childhood landscape through innovative teaching and research. In this influential role, you will bring your expertise in Birth–5 education and care, and literacy and/or numeracy education, to inspire the next generation of educators and strengthen the early childhood workforce. As a Lecturer in Early Childhood Education, you will: Contribute to the design, development, and delivery of undergraduate and postgraduate curriculum. Undertake high-quality research aligned with the College’s strengths, producing impactful publications and securing external research funding. Supervise and mentor students undertaking Work Integrated Learning (WIL), Honours, and/or Higher Degree Research projects. Build and sustain strong partnerships with industry, government, and community stakeholders to enhance teaching, learning, and research outcomes. About You You are a passionate academic with a deep commitment to advancing early childhood education. You bring creativity, rigour, and innovation to your teaching and research, and you are motivated to equip students with the skills and confidence to become outstanding educators and leaders in the sector. To succeed in this role, you will bring: A PhD or equivalent qualification in Early Childhood Education or a related field. Demonstrated expertise in literacy and/or numeracy education in birth–5 early childhood settings. Evidence of innovative and high-quality teaching at tertiary level, including curriculum design and topic coordination. A developing or established research profile with quality publications and success in attracting external funding (commensurate with career stage). About Early Childhood Education at Flinders At Flinders, we are at the forefront of supporting South Australia’s early childhood workforce. Our teaching and research emphasise the importance of high-quality education and care from birth to 5 years, equipping graduates with the expertise to foster children’s development, learning, and wellbeing. Through innovative pedagogy, impactful research, and strong partnerships, we are preparing educators to make a positive difference in the lives of children, families, and communities. Life at Flinders We're transforming and investing in people and facilities to create contemporary, stimulating, and satisfying learning and work environments that reflect our core values of excellence, innovation, courage, and integrity. Flinders is refocusing its strategic priorities with the aim of elevating its performance to be a top ten Australian university, and amongst the top 1% in the world. Reaching beyond the limits of buildings, borders, and backgrounds, ours is an inclusive culture that believes absolutely in equality and opportunity for all. We don't just accommodate differences; we embrace and celebrate them. So, why work at Flinders?  17% superannuation, salary packaging options and professional development finds. A wide range of professional development opportunities, including Flinders’ Researcher Development and Leadership Programs. Recognition as the first university in South Australia to receive the prestigious SAGE Cygnet Award, celebrating our commitment to diversity and inclusion. Access to advanced, state-of-the-art facilities including an on-site gym, cafés, and childcare centre. A dedicated new Early Childhood teaching space, Pintya Kuu, where students can gain hands-on experience in a supportive, practice-based learning environment. Our Commitment to Reconciliation and Indigenous Employment  Flinders University is proud to be an organisation that is committed to our Reconciliation Action Plan and Indigenous Workforce Strategy. Our vision is to be a preferred employer for Aboriginal and Torres Strait Islander peoples. We are committed to progressing Indigenous advancement in education, research, employment, and wellbeing, and strongly encourage applications from Aboriginal and Torres Strait Islander peoples for all Flinders vacancies.  Please see here for our Reconciliation Action Plan Please see here for our Indigenous Workforce Strategy  Prescribed Conditions for Employment A valid National Police Certificate which is satisfactory to the University will also be required before the successful applicant can commence in this position. How to Apply and Information  You are required to submit a CV, along with a Suitability Statement of no more than 3 pages, addressing the below Key Position Capabilities of the position description. For more information regarding this position, please contact Rachel Hedger. Applications to be submitted before 10:00 pm (ACDT) on Monday, 6 April 2026. Please note, late applications and applications sent via agencies will not be accepted.  At Flinders we embrace and celebrate diversity and encourage applications from Aboriginal and Torres Strait Islander peoples, and people of all ages, ethnicities, abilities, sexual orientations, and gender identities.  Certification Applications to be submitted before 10.00pm: 06 Apr 2026 At Flinders we embrace and celebrate diversity and encourage applications from Aboriginal and Torres Strait Islander peoples, and people of all ages, ethnicities, abilities, sexual orientations, and gender identities. Flinders. Fearless.