Jabir ibn Hayyan University for Medical and Pharmaceutical Sciences

Part-time (17.5 hours per week), 12-months fixed-term opportunity Join a leading neuroimaging research team at the University of Sydney and contribute to groundbreaking multiple sclerosis research while developing your expertise in MRI analysis, data science, and clinical research coordination Base Salary $89,755 - $100,495 (pro-rata) + 17% superannuation About the opportunity Join the Save Sight Institute at the University of Sydney and play a key role in a major MRFF-funded multiple sclerosis neuroimaging study that is advancing the understanding of disease progression and treatment outcomes. Working within a multidisciplinary research team, you will contribute to the delivery of cutting-edge research through a combination of advanced MRI data processing, neuroimaging workflow coordination, and study administration. We are seeking a highly organised and technically capable Research Assistant to support a large MRFF-funded multiple sclerosis imaging study based at the University of Sydney. The role combines advanced neuroimaging data management and MRI pipeline execution with day-to-day study coordination responsibilities. The successful candidate will work with large-scale longitudinal clinical and imaging datasets derived from the MSBase Registry and MSBase Imaging Repository (MSBIR), including extraction and organisation of treatment and MRI timepoint data, coordination of imaging workflows, and execution of MRI preprocessing pipelines to prepare data for downstream lesion analysis. Responsibilities will include image registration, quality control, pipeline management, coordination of data flow across collaborating sites, and assisting with overall study administration and project coordination. The position requires experience working with MRI analysis pipelines and neuroimaging software (e.g. FSL, ANTs, FreeSurfer, MRtrix or similar), strong organisational skills, and the ability to work independently within a multidisciplinary MS neuroimaging research team. The role is expected to involve approximately 80% MRI/data processing work and 20% study coordination activities. Your key responsibilities will be to: Coordinate and support the delivery of a large-scale multiple sclerosis neuroimaging research study, ensuring research activities are completed accurately and within agreed timeframes. Manage and process complex longitudinal clinical and MRI datasets, including data extraction, organisation, quality control, and preparation for downstream analysis. Execute and maintain MRI preprocessing and analysis pipelines, supporting image registration, workflow management, and data integrity across collaborating research sites. Collaborate with researchers, clinicians, and external partners to facilitate study operations, coordinate imaging workflows, and contribute to project objectives and outcomes. Prepare and maintain study documentation, reports, ethics and governance records, research outputs, and other project-related materials in accordance with regulatory and institutional requirements. Support the administrative and operational requirements of the research program, including stakeholder communication, financial processing, compliance activities, and continuous improvement initiatives. About you Tertiary qualifications in a relevant field. Demonstrated experience working with MRI analysis pipelines and neuroimaging software such as FSL, ANTs, FreeSurfer, MRtrix, or similar tools, with the ability to manage and process complex imaging datasets. Strong data management, analytical and problem-solving skills, including experience handling large-scale longitudinal research data and maintaining high standards of data quality and accuracy. Excellent organisational, communication and stakeholder management skills, with the ability to coordinate multiple priorities and work effectively across multidisciplinary research teams and collaborating organisations. Experience working in a research-intensive environment, including supporting research administration, literature reviews, data reporting, and the preparation of research outputs and project documentation. A proactive and collaborative approach, with strong attention to detail, sound judgement, and the ability to work independently while contributing positively to team objectives. Sponsorship / work rights for Australia You must have unrestricted work rights in Australia for the duration of this employment to be eligible to apply. Visa sponsorship is not available for this appointment. Pre-employment checks and declarations 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 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 LGBTQIA+. 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 Roshik Prasad, Recruitment Operations by email to roshik.prasad@sydney.edu.au Copyright 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 12 July 2026 11:59 PM

Salary: £24,521 - £26,093 per annum Contractual hours: 37 Basis: Full Time Package: Full details can be found here - https://www.ucb.ac.uk/about-us/work-for-us/rewards-and-benefits/ Job category/type: Business, Creative Industries Job reference: REQ000576 Attachments: attachmentHair and Beauty Receptionist - Technician - JDPS - June 26 1.pdf Are you passionate about Hair and Beauty and thrive within a client-focused environment? We are seeking a dedicated Hair and Beauty Receptionist/Technician to join our team. This unique role combines reception duties and some technician support, with your knowledge of hair and beauty to deliver outstanding service to clients, whilst offering high-quality support for both staff and students. Within this role, you will support the day-to-day operations of the Hair and Beauty Commercial Salon sessions. You will be required to carry out reception duties, including welcoming clients, scheduling appointments and answering enquiries. Additionally, you will support in ensuring that treatment areas are prepared, equipment is maintained, and stock is monitored. The successful candidate will have previous experience within a client facing role along with knowledge of hair and beauty treatments, brands and products which will be instrumental in advising clients correctly and ensuring that practical sessions are fully equipped. Your contribution will be key in creating an organised environment and an excellent student experience. Standard Information  UCB is an equal opportunities employer. University College Birmingham is proud to be TEF rated Silver, with a Good Ofsted rating UCB has achieved the Investors in Diversity Bronze Award You may need to obtain permission to work in the UK if you don’t already have the unrestricted right to work in any role. There are various types of visa which include the right to work. You can check if you need a UK visa using the Government’s online tool and find information about UK visa routes and the eligibility criteria that must be met for each route Work in the UK - GOV.UK (www.gov.uk). All staff are required to prove their right to work in the UK before they start work. All applicants for employment at the University will be expected to undertake an Enhanced Check with the Disclosure and Barring Service prior to commencement. All applicants for employment at the University will be expected to demonstrate an understanding of the principles of Safeguarding and the PREVENT agenda in the context of further and higher education.

As a University of Applied Learning, the Singapore Institute of Technology (SIT) works closely with industry in its research pursuits. This position is situated within the Centre for Immersification, dedicated to applied research in immersive technologies and bridging the gap between academia and industry. Research staff at the Centre have the opportunity to be equipped with applied research skill sets relevant to industry demands while working on innovative projects within the university. The primary responsibility of this role is to contribute to the design, development, and deployment of an advanced content moderation framework for immersive 3D virtual environments, such as Roblox and Minecraft. The research staff will play a key role in building and integrating of AI agents into gaming scenarios (e.g., gameplay, interactions, procedural content generation, dynamic narratives), and integrating a multimodal detection pipeline, ensuring real-time performance, scalability, and deployment readiness in alignment with the project’s research objectives. The successful candidate will work with a diverse team of faculty members, engineers, and industry partners, including renowned researchers at the College of Computing and Data Science (CCDS) at NTU. Technical skills, natural curiosity, versatility, and enthusiasm are highly desired traits that will enable success in this fast-paced environment. Key Responsibilities Manage the research project together with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables are met. Collaborate with the PI, Co-PIs and NTU team to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g., Roblox, Minecraft). Design and develop robust and scalable game agents to navigate and interact with immersive 3D virtual environments (e.g., Roblox, Minecraft). Integrate AI agents into gaming scenarios (e.g., gameplay, interactions, procedural content generation, dynamic narratives) Leverage fine-tuned Vision-Language Models (VLMs) for game scenario detection, supporting zero-shot reasoning and scene-graph inference. Ensure the system is deployment-ready by supporting benchmarking of inference speed, compute efficiency, and scalability with concurrent agents. Maintain high software engineering standards through rigorous testing, version control, clear documentation, and continuous improvement of development infrastructure (e.g., CI/CD, Docker, cloud-based services). Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Coordinate procurement and liaison with vendors/suppliers. Work independently, as well as within a team, to ensure proper operation and maintenance of equipment. Job Requirements Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field. Strong programming proficiency in Python and/or C++. Demonstrable experience with machine learning frameworks (e.g., PyTorch, TensorFlow). Hands-on experience with game AI agents and/or GUI agents such as Mineflayer, Unity ML-Agents, or similar. Solid expertise in computer vision techniques, transformer architectures, and multi-modal learning. Familiarity with reinforcement learning (RL) principles, curriculum learning strategies, and the challenges of real-time systems. Working knowledge of distributed systems and container technologies (e.g., Docker, Kubernetes). Communicate research findings and project progress effectively through demos, internal presentations, and contributions to external academic forums where appropriate. A genuine passion for developing AI agents for games. Roblox or Minecraft players are a strong advantage. Key Competencies Strong software development and debugging skills. Demonstrable experience with machine learning frameworks. Proficient in technical writing and system documentation. Self-directed learner with strong problem-solving and research capability.