Universidad Alfonso X el Sabio

Full -Time Continuing position Clinical Research Management position spanning a diverse range of clinical trials Base Salary $152, 045 - $160, 430 (effective June 2026) + 17% superannuation About the opportunity The Brain and Mind Centre is a global leader in research and treatment, focusing on conditions that affect child development, youth mental health and brain ageing. The work extends beyond laboratories and clinics to strong partnerships with industry, government, the community, and other healthcare providers and researchers. Play a key role in advancing world-class clinical research at the Brain and Mind Centre. As Clinical Research Manager, you will lead the development of clinical research capability and capacity, supporting high-impact programs in mental health and neuroscience. Working within a highly collaborative and multidisciplinary environment, you will drive the implementation of a clinical trials platform, strengthen quality frameworks, and enable researchers to deliver innovative and compliant clinical research. Join a highly collegial, closely-knit team to oversee a wide range of research in partnership with researchers, academics and external stakeholders. Trials range from child neurodiversity, neurodegenerative diseases including Multiple Sclerosis and Motor Neurone Disease to mental health and ageing. Find out more about BMC here: Brain and Mind Centre - The University of Sydney Your key responsibilities will be to: work closely with Chief Investigators, Program Heads, and research teams to support the development and delivery of clinical research and trials lead the development and implementation of a clinical trials platform, including quality frameworks and operating models provide expert advice across the full clinical research lifecycle, from protocol development to study close-out and audit design and deliver training, education, and capability-building initiatives to strengthen clinical research practices establish and embed policies, procedures, and governance processes aligned with ICH-GCP, ethics, and regulatory requirements build and manage stakeholder relationships across the University and with external partners to enhance research quality and impact About you relevant qualifications and/or extensive senior experience in clinical research, clinical trials, or research management demonstrated experience managing complex, multi-stream projects in a clinical or research environment strong understanding of ICH Good Clinical Practice, ethics, governance, and regulatory requirements experience developing and implementing policies, procedures, and research support models proven ability to build and maintain effective relationships with diverse stakeholders across academia, healthcare, and industry experience leading and developing high-performing teams, providing strategic guidance and support. To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus. 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 successful completion of all pre-employment or background checks required for the role in terms satisfactory to the University. Also, to meet the University's obligations under the National Higher Education Code to Prevent and Eliminate Gender-Based Violence you will be asked to declare if you have been investigated for, or found to engaged in, sexual harm or gender-based violence in the course of previous employment or in a legal process. 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 that 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. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum 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 Cunningham, Recruitment Operations by email nicole.cunningham@sydney.edu.au Applications will close: Sunday 3rd May at 11:59pm © 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 03 May 2026 11:59 PM

Semiconductor fabrication is one of the most complex and precision-driven forms of manufacturing. At nanometre scales, even subtle variations in process conditions can introduce defects that degrade device performance, reduce yield, and drive up production costs. Addressing this challenge requires new modelling approaches that can capture the full complexity of fabrication processes and enable optimisation before physical manufacturing begins. This project aims to develop advanced deep learning models capable of predicting fabrication outcomes and guiding fabrication recipe optimisation. By learning directly from experimental and process data, these models will enable a shift from iterative, trial-and-error fabrication towards predictive and data-driven manufacturing. We are seeking a highly motivated Machine Learning Researcher to join a multidisciplinary team of fabrication engineers and AI specialists at the University of Southampton, within the School of Electronics and Computer Science, working in the group of Dr Yasir Noori. In this role, you will work at the interface of machine learning and semiconductor engineering, developing models that predict post-fabrication device characteristics from process parameters. You will engage with complex, high-dimensional datasets derived from real fabrication workflows, including microscopy, spectroscopy, and electrical performance measurements. You will work closely with fabrication engineers to translate physical processes into machine learning models, design and train deep learning architectures, and evaluate their ability to generalise across different process conditions. The models you develop will not remain confined to the research lab, but will be validated experimentally and tested at an industrial scale in collaboration with global companies in semiconductor fabrication and electronic design automation. The position offers a rare opportunity to apply machine learning to an important technical challenge with substantial potential impact. You will also be involved in supervising PhD students and junior researchers and play a central role in shaping the research direction of the team. Your work is also expected to contribute to the development of innovative technologies with a clear pathway to commercialisation through the spinout company Deep Fabrication, to influence how semiconductor manufacturing is approached in practice. The role will provide you with deep exposure to nanofabrication processes, experience working with industry-relevant datasets and problems, and the opportunity to publish in leading journals and conferences. It is particularly well-suited to candidates who are motivated by applying machine learning to real-world systems where the underlying physics is complex and not fully understood. This position is offered for 24 months in the first instance, with the possibility of extension for a further 12 months. To apply, please submit your CV and a cover letter outlining how your experience and interests align with the aims of the project, and provide responses to the short-listing questions.

Kia hiwa rā, kia hiwa rā! He hiahia, he pūkenga nōu ki te mahi a te Pūkenga / Pūkenga Matua? Nāia te pōwhiri nā Te Whare Wānanga o Waitaha kia tono mai i te tūranga nei. Āu mahi - What you will do Applications are invited for a continuing (permanent) position in the Department of Chemical and Process Engineering at Lecturer/Senior Lecturer level. The level of appointment will depend on the successful candidate's relevant experience. You will contribute to teaching across the undergraduate chemical engineering curriculum. Your research will complement the present research activities of the Department in any area. You will be encouraged to develop a strong, externally funded research programme as well as be expected to collaborate with other academics in the Department's teaching and research activities. The appointee will also be expected to develop links with and connect to the wider engineering profession at local, national and international levels. Mōu - Who you are We are committed to building a diverse and inclusive team and encourage applications from people with a variety of research interests and specialisations. The department values cooperative staff who will nurture our students to become world-class engineers. Applicants must hold or be about to complete a PhD degree in Chemical and Process Engineering (or a closely aligned discipline, e.g. physics, chemistry, biotechnology, materials science), and have a demonstrated record of published research in internationally recognised journals appropriate to your career stage. You will have a commitment to excellence in teaching of core courses in Chemical and Process Engineering at the undergraduate level, delivering effective teaching methods that enable a wide range of learners to succeed. You will demonstrate the ability to collaborate with others in the University and throughout the wider research community. You will also be expected to show an interest in contributing to Faculty, Departmental, and University activities. The appointee will also ideally demonstrate a background in supervising final year undergraduate projects, Masters and PhD students. If you are passionate about advancing the field of Chemical and Process Engineering and contributing to research and teaching, we encourage you to apply and join us in shaping the future of Chemical and Process Engineering education. For more information about the Department and our team, please visit our website and take a virtual tour of our Engineering facilities. Mea e tukua nei - What we offer The University is committed to providing an excellent working environment, this includes: Relocation support Conveniently located, onsite childcare facilities Parenting rooms available across campus, including in Rātā the main Engineering building Five weeks annual leave and five days university holidays UC parental leave (up to nine weeks paid) plus 26 weeks Government paid parental leave and onsite childcare facility Widely accessible sabbatical provision Generous employer contribution to superannuation (up to 6.75%) University and faculty scholarship support for postgraduate students A unique bequest funded endowment (Erskine Fund) that supports an extensive visiting fellowship programme Flexible working arrangements, including flexible hours and some work from home opportunities Supportive working environment, including active health, safety and wellbeing committee, initiatives to encourage social interactions between staff Professional development and study opportunities Living in revitalised Ōtautahi - Christchurch, Aotearoa New Zealand A working environment in a beautiful campus with access to UC facilities such as the recreation centre and Staff Club at discounted rates, plus onsite cafés, eateries, and more For more information on our benefits, please visit: https://www.canterbury.ac.nz/joinus/benefits/ This role sits within the Academic Staff, Associated Staff and Support Staff Collective Agreement and the following salary scale applies: Lecturer $94,181 - $113,616; Senior Lecturer $119,586 - $135,630 The closing date for this position is Sunday, 03 May 2026 (midnight NZ time). Please note, applications will be reviewed after the close date. Pēhea te tono mai - How you apply Applications for this position must be submitted on our careers website and should include the following: A one-page cover letter, a one-page research statement outlining your research interests and goals, and a one-page teaching philosophy statement (combined document) A resume which includes a list of relevant research publications (combined document) Please note, only two documents can be uploaded in the application process. We value inclusivity and diversity at the University of Canterbury. We know that candidates from underrepresented backgrounds often only apply for roles if they meet all of the criteria, so if you're keen to apply but are not sure you meet all of the requirements or need additional support please let us know (academic contact: Daniel Holland). We do not accept applications by email, however, we are happy to answer any queries at WorkatUC@canterbury.ac.nz For further information specifically about the role, please contact: Daniel Holland Daniel.holland@canterbury.ac.nz. For overseas applicants, please visit the Immigration New Zealand website to review the latest health and visa requirements for visiting and working in Aotearoa - New Zealand. To apply for this job, please click here or go to our job site and enter the job code 31232HL