Kunitachi College of Music

We are seeking an enthusiastic and experienced senior research fellow to work on a £1m EPSRC-funded project to develop human-centred AI methods that can support and enhance intelligence analysis for national security and defence. The ‘AiTASHA’ project (AI Intelligence Triage & Acquisition Support for Human-centred Analysis) aims to improve the speed and confidence of intelligence analysts’ assessments by building new AI tools that can work alongside human analysts. Intelligence analysts are routinely required to make high-consequence, defensible assessments from vast, complex and uncertain datasets, to identify indicators and warnings of hostile or malicious activities. Analysts must make these assessments rapidly in a highly-pressured and resource-constrained environment, where they face difficult choices of what data to analyse first, and whether to gather additional intelligence, potentially at the cost of delay or increased risk. Addressing this challenge is becoming increasingly urgent as both the scale and complexity of intelligence datasets, as well as the threat posed to UK safety, are growing, and existing AI support tools primarily focus on the identification and visualisation of patterns within datasets, without due consideration of human understanding or context, defensibility, and representation of uncertainty. The goal of this ambitious project is to make fundamental advances that will together underpin and enable a future explainable, defensible AI system that can complement, rather than replace, the work of intelligence analysts; recommending which existing data should be prioritised for human review and which potential new data should be prioritised for acquisition. To address this challenge we will advance the state-of-the-art across multiple component disciplines; in explainable multi-modal deep learning models, in causal statistical models and in human-machine teaming and AI ethics. The researcher will conduct internationally-leading research in human factors with applications to intelligence analysis. This role will involve developing and applying methods for eliciting knowledge from expert analysts in order to encode understanding of their mental models into a machine learning model, using dynamic Bayesian networks to understand, propagate and reduce uncertainty in their assessments. The research will apply models of distributed situation awareness and ecological interface design techniques to develop a novel human-centred human-AI teaming model. The researcher will also be working closely with colleagues in statistical / graphical modelling as well as AI ethics, and will therefore need to be conversant in these areas. The role will be based at the University of Southampton as part of an interdisciplinary consortium on the AiTASHA project, which is led by the Alan Turing Institute and also includes the universities of Warwick, Cardiff and Dundee, working closely with UK government defence and national security partners. The successful candidate will join this vibrant and interdisciplinary team of researchers and will have frequent opportunities to engage with internal stakeholders and external government partners throughout the delivery of the project. During the project it is expected that they will work as part of a small tight-knit cohort of Early Career Researchers spanning the AiTASHA consortium universities. Please apply by uploading your CV and a Cover Letter. To be eligible for this role it is a funder requirement that you are a UK National or have been residing the in the UK for 5 years or more, and be happy to be put forward for a Security Check (SC) clearance. Please confirm the following information in your cover letter: Your current and any former nationalities That you have been residing in the UK for the past 5 years

Job Purpose: The POD robotics team is building up 3 specific domains capabilities to meet complex industry demands that spans across hardware, software, and AI. Adding a Full-Stack Robotics PO would add to the capability of the robotics team. This role will establish our technical standards by leveraging ROS2 and RMF to build standardised, reusable middleware for multi-robot coordination and fleet management as we embark to integrate with JTC ODP and enable center for conducting the testing certification at PDD when the sandbox is established. Knowledge of Embodied AI (SLAM, Reinforced Learning) is also critical for developing shared, plug-and-play autonomy capabilities that drastically accelerate project development speed. With a strong foundation in Mechatronics, this individual guarantee hardware-software integrity and mitigates technical risk by prototyping and troubleshooting physical components in-house. Recruiting this role is a strategic necessity to fuse these disparate domains, allowing the team to deliver robust, standardised modules and support our applied research portfolio. Key Responsibilities Participate and manage the industry project with Principal Investigator (PI), Co-PI and team members to ensure all project deliverables are met Involve in customer engagements, includes gathering of systems requirements and formulate scope Involve in the full development life cycle, i.e., design, development, and testing Generate technical proposals, design documents, test document Job Requirements Strong foundation in electrical engineering, mechanical design, mechatronics or systems engineering Project experience with sensor integration (e.g., LiDAR, cameras, IMUs), actuators, and motor control Experience in ROS (Robotics Operating System) or ROS 2, including package creation, message passing, and launch configuration. Experience with Robotics Middleware Framework (RMF) for multi-robot system coordination, fleet management, and interoperability is highly desirable. Proficiency in PCB design/prototyping, troubleshooting hardware issues, and using lab equipment (oscilloscopes, multimeters, etc.) will be an added advantage. Good programming skills in C, Python and/or C++ in a Linux environment (e.g. Ubuntu) Experience with version control systems (e.g., Git or CVS). Knowledge and some practical experience in areas such as Reinforcement Learning (RL), imitation learning, motion planning, computer vision, or SLAM (Simultaneous Localization and Mapping) as applied to physical robotic agents will be an added advantage. A Master's degree (or a Bachelor's degree with 8+ years of relevant experience) in Robotics, Computer Science, Electrical Engineering or a closely related field.

Full time, fixed term opportunity for 12 months Opportunity to be a Research Fellow with the School of Medical Sciences in Bioinformatics Base Salary starting at $127,436 + 17% superannuation About the opportunity The School of Medical Sciences is recognised as one of the leading centres for medical science education in the world. With over 100 years of excellence in education, we are proud to be training the next generation of medical scientists who will be leading members of the medical research community with an innovative integrated curriculum. Our team of researchers lead key internationally competitive research from molecules to medicines, from patient to policy across a range of therapeutic areas. We are seeking a skilled Research Fellow with experience and expertise in bioinformatics. The research fellow will join a team funded through a NSW Health Translational Research grant that focuses on transforming infection management in immunosuppressed patients. This role will support the implementation of bait-capture-based targeted clinical metagenomics, applying cutting-edge sequencing and analytical pipelines to enable rapid, precise pathogen identification and antimicrobial resistance profiling. The successful candidate will contribute to developing and optimising bioinformatic and reporting workflows that enhance diagnostic accuracy and improve clinical decision-making in complex infectious disease settings. The Research Fellow applies and refines their expertise in research methodologies, design and delivery to contribute to the university's standing as a national leader in the discipline. working independently and as part of a research team, the role focuses on producing high-quality research outputs, fostering collaborations, and engaging in activities that contribute to research excellence, innovation and impact. The role offers an opportunity for an emerging academic to build a research profile, engage with industry and external partners, support postgraduate researchers and play an active role within the school's academic community. Your key responsibilities will be to: conduct original research independently or as part of a team, contributing to publications, conference presentations and securing research funding maintain and expand a research profile through peer-reviewed publications, book chapters and conference papers develop research collaborations and engage in translational research leading to commercialisation, improved policy or practice or enhanced outcomes for industry, the profession or community contribute significantly to successful applications for competitive research grants and funding maintain quality, standards and excellence in all research activities and outputs provide training, informal mentoring and guidance to lower-level academics and supervise postgraduate research students or projects where appropriate attend and contribute to school, faculty and portfolio meetings undertake other duties and contribute to projects appropriate within the classification level as required. About you a doctorate or PhD in a relevant discipline 2-5 years' experience in bioinformatics with a track record in developing analysis pipelines, preferably in the field of microbiology. a developing research profile in their discipline or area of expertise strong oral and written communication skills with the ability to work within a multidisciplinary team. proven experience supervising and mentoring others. Sponsorship / work rights for Australia 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 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 include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which 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. 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 Ajaypal Singh, Recruitment Operations by email to ajaypal.singh@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 Wednesday 21 January 2026 11:59 PM