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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 skills that are relevant to industry demands while working on research projects in SIT.  About the DIGNIFIED programme The DIGNIFIED programme is dedicated to developing elderly-friendly, textured modified foods with desirable organoleptic and nutritional properties. Our mission is to enhance the quality of life for elderly individuals by creating innovative, nutritious, and visually appealing food products that cater to their specific dietary needs. Job Description:  We are seeking a highly motivated Research Engineer to join our team for a fixed-term project. The successful candidate will be responsible for developing and validating objective texture testing methods that can accurately categorize foods within the International Dysphagia Diet Standardisation Initiative (IDDSI) framework, with a specific focus on Level 5 (Minced & Moist). This role will involve designing custom test fixtures, conducting practical laboratory work, and performing data analysis to create a robust and reliable testing protocol. Key Responsbilities: Conduct a comprehensive literature review on food rheology, texture analysis, particle analysis, image analysis and the IDDSI framework. Design and execute experiments to develop new instrumental texture analysis methods suitable for IDDSI Level 5 foods. Validate new methods against existing standards and a sensory panel to ensure accuracy and clinical relevance. Collect, analyze, and interpret data from instrumental and sensory evaluations. Document all experimental procedures, findings, and analyses in technical reports and prepare presentations to industry stakeholders and manuscripts for publication in peer-reviewed journals. Collaborate with a research team, including food scientists, clinicians, and engineers, to ensure the developed methods are practical and clinically relevant. Job Requirements: A degree in Food Science, Food Engineering, Materials Science, or a related field. A Master's or Ph.D. in a related research field is advantageous. Experience with instrumental texture, image analysis and particle sizing techniques (e.g., texture analyzers, universal testing machines) is highly desirable. Strong analytical and problem-solving skills. Proficiency in material characterization techniques, such as stress-strain characterization. Proficiency in analysis software (e.g., Microsoft Excel, R, or other statistical software). Excellent written and verbal communication skills. Ability to work independently and as part of a team. Demonstrated commitment to strong research ethics and data integrity

Full time, fixed term for two years Exciting opportunity to be a Data Analyst with the University of Sydney Ancestry & Health Genomics Lab (Hayes Lab) Base Salary starting from $93,345 + 17% superannuation About the opportunity The successful candidate should have an Honours or Master's degree in Bioinformatics, Computational Science, Data Engineering or equivalent, and/or have a Bachelor's degree with substantial evidence of experience working within HPC environments and big data analytics, familiarity with bash commands, with preferential experience with using command-line interface bioinformatic tools. The successful candidate will join the University of Sydney Ancestry & Health Genomics Lab (Hayes Lab) working on uncovering the drivers of prostate cancer health disparities. Based within the 'state-of-the-art' Charles Perkins Centre, this hybrid international team is both generating and interrogating multi-omic data sources to address clinically relevant questions related to developing a globally inclusive system for prostate cancer care. The day-to-day tasks will involve running and maintaining the computational pipelines, data backup and security, while showing initiative for workflow improvements and integrative models. Providing data quality control, filtering, and preparation for downstream analysis. Running and managing computational resources both locally and for the larger consortium within the High Performance Computational (HPC) infrastructure. Run standard pipelines for variant calling, while working with all members of the Hayes Lab from Research Officers, Postdocs, international Fellows, and PhD students, as well as the staff and members of the Sydney Informatics Hub (SIH). The successful candidate will be responsible for releasing and managing data within the team core, managing computational resources and user access, reporting to the lab head, ensuring the highest level of data integrity, while resolving data issues and performing data analytics as directed. The successful candidate should have a passion for working with large data sources, have strong skills in problem-solving and computational literacy, be results-orientated while placing emphasis on attention to detail, efficiency in planning and deliverables. The candidate should be able to work both within a team environment and independently and be willing to spend two days a week in the office engaging with colleagues directly. The candidate should have a passion for working in an academic environment, which includes research focused on clinical impact. Your key responsibilities will be to: data management for the lab and consortium managing HPC computational access, KSU management and usage submitting of genomic data for publication assist in data collection activities and ensure compliance with set guidelines support data extraction, transformation and preliminary visualisation activities engage in data analysis and assist in identifying patterns to support decision making assist with data preparation for internal surveys and support external submission requirements participate in data cleansing and verification processes to ensure data accuracy perform routine large-scale data processing for variant calling using established pipelines coordinate with the team to produce quality reports, verify data accuracy within university systems and support compliance initiatives communicate with a broad range of stakeholders report directly to the Lab and Consortia lead. About you bachelor's/honours/masters degree in a relevant field or an equivalent combination of relevant training and experience experience analysing and providing insights on complex quantitative and qualitative data experience working with large data sources and complex data across a large and diverse organisation experience utilising analytics platforms and developing actionable recommendations experience working in the higher education sector experience in people management, including managing staff performance and development skills in data analysis, accuracy and attention to detail, organisation and time management, research computer literacy, familiarity with bash commands, with preferential experience with using command-line interface bioinformatic tools ability to communicate effectively and work collaboratively in a team. 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 ÌÇÐÄVlog 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 LGBTIQ+. We welcome applications from candidates from all backgrounds. We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Gold 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, 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 Thursday 16 July 2026 11:59 PM

Our HR and OD department team provides professional services and support to c. 6000 staff and drives forward our People Strategy. The Strategic Lead for People Projects offers an exciting opportunity to take forward agreed projects under the University's People Strategy with a focus on talent development. Working directly with the Chief People Officer, the HROD Senior Management Team and stakeholders across the institution, they will develop and deliver initiatives to ensure the University can operate with clear accountability, in a flexible and agile manner with structures that enable high performing teams. They will also be responsible for creating methodologies to better plan current and future staffing needs, to ensure departments are best able to deploy staff and consider future demand for skills. This post is full time and Fixed term of up to 12 months (reviewable at 6 months).