University of West Attica

Professional Officer in Food Analysis The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes that prepare its graduates to be work- and future-ready professionals. Its mission is to maximise the potential of its learners and to innovate with industry, through an integrated applied learning and research approach, so as to contribute to the economy and society. The university’s unique pedagogy integrates work and study, embracing authentic learning in a real-world environment through collaborations with key strategic partners. Its focus on applied research with business impact is aimed at helping industry innovate and grow. SIT’s centralised campus within the Punggol Digital District features a vibrant learning environment where academia and industry are tightly integrated with the community. SIT espouses an applied learning approach and offers degrees with a strong focus on science and technology. Our faculty work closely with industry on translational research and innovation, as well as provide consultancy on solutions to industry challenges. This well-established nexus with industry endows our graduates with deep skills and work-ready training experience. SIT is also establishing strategic live test beds known as ‘Living Labs’ both within and beyond its Punggol campus to support greater experiential learning and strengthen its applied research offerings. The university’s pool of experts works with multi-disciplinary teams to drive the horizontal technology enablers required to support SIT’s strategic translational research. The Professional Officers Division (POD) houses a centralised pool of academic staff under the Professional Officers scheme. Professional Officers bring specialised and deep technical expertise developed through extensive industry experience. They provide a critical industry perspective to student learning and applied research, complementing the academic expertise of faculty by translating industry practices and real-world applications into the curriculum. SIT is expanding its applied Food Technology research capabilities in waste valorisation, sustainable and healthy food, building a cohort of academic staff who are keen and experienced working on industry problems across sectors. Focus areas for applied Food Analysis domains such as: Carbohydrate Chemistry Prebiotics for gut health Proteomic profiling Bioactive compounds Metabolics profiling during or after digestion or cell cultivation Food structure characterisation Responsibilities: Design, develop, and teach laboratory sessions and practice-based modules in Food Chemistry, Food Characterisation, and Food Analysis or other related areas. Lead or co-lead innovative applied research and industry collaboration projects with industry partners and government agencies. Secure and manage research grants to support applied research initiatives. Supervise and mentor students in applied research projects, Capstone Projects, and the Integrated Work Study Programme (IWSP). Manage laboratory facilities, equipment, and technical resources to support academic programmes and applied research activities. Ensure compliance with laboratory safety policies, procedures, and best practices. Contribute to the development of applied Food Research capabilities, learning resources, and industry-relevant curriculum support. Work closely with faculty and internal stakeholders to drive teaching, applied research, and innovation initiatives outcomes. Qualifications: A good Bachelor’s, Master’s or Doctorate degree in Food Science, Food Technology, Chemistry, Food and Biological Engineering, Material Science or a related discipline, with demonstrated experience in Food Analysis and Characterisation of carbohydrate, proteins, polyphenols, or metabolises like mycotoxins to support research or application. Equivalent industry experience may also be considered. Desirable relevant industry experience, preferably in a technical role within an organisation driving research and/or innovation outcomes. Strong technical expertise in one or more of the following areas: Carbohydrate chemistry for structure, compositional analysis including while not limited to starch, oligosaccharide, soluble and insoluble fibres. Knowledge in structure-function relationship of polysaccharides (fiber, starch). Such knowledge can be transferred to ingredient formulation technology which integrated with food processing and food texture. Proteomic and amino acid profiling, bioactive compounds (vitamins, minerals, polyphenols) and toxic compounds that exist or produced during food processing. Intensive experience and knowledge of operating HPLC, MALDI-TOF and Q-TOF Mass spectrometry, SEC-MALS for biomacromolecule size/shape determination, and NMR spectroscopy for protein sequencing, carbohydrate/sugar analysis, polyphenol and bioactive compound identification. Texture and structure characterisation using equipment such as rheometer, AFM, DMA, TGA, DSC. Demonstrated experience applying Food Analysis to the SIT’s Food Technology focus areas. Previous experience as lab-in-charge or equipment-in-charge will be advantageous. Demonstrated interest and capability in supporting research and academic project work, with the ability to develop software solutions to technical problems. Strong supervisory and mentoring skills, with an interest in working closely with students in an educational environment. Commitment to continuous learning and professional development, with the ability to keep abreast of developments in the field. Relevant industry certifications will be an added advantage. For senior appointments, demonstrated managerial or team leadership experience may be required. Key Competencies Have relevant competence in the areas of analytical chemistry for chromatographic analysis for carbohydrate (polysaccharide and oligosaccharide), protein, amino acids, polyphenols, and other bioactive compounds. Passion for teaching, coaching, and mentoring students and junior practitioners. Strong analytical and hands-on problem-solving skills. Ability to build and maintain effective working relationships with internal and external stakeholders especially equipment vendors. Adaptability and willingness to work across functions and teams in a dynamic environment. Self-motivated and committed to continuous learning and professional growth. Strong technical writing, communication, and presentation skills. Good analytical, critical thinking, and problem-solving abilities. Proactive, resourceful, and able to take ownership of assigned responsibilities.

Part time (0.6 FTE), fixed term opportunity until January 2028 Opportunity to provide research excellence through high level animal welfare Exciting opportunity to work as an Animal Technician within the School of Medical Sciences Base Salary starting at $90,155 pro rata + 17% superannuation Primarily based at ANZAC Research Institute, Concord with regular rostered days within the Camperdown Laboratory Animal Services facilities 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 an Animal Technician to provide animal husbandry services and support the daily operations of the ANZAC animal facility. The role involves ensuring animal welfare compliance, managing facility supplies, overseeing contractor onsite operations, and supporting the effective operation of research animal environments. Your key responsibilities will be to: provide animal husbandry services, ensuring animal welfare standards and regulatory compliance complete routine animal husbandry tasks, including cage changing, health monitoring, cage preparation and cleaning provide technical assistance where required or directed and be able to operate facility equipment. ensure the accuracy of animal records and communicate any animal welfare concerns and provide assistance in resolving these as directed. Collect and submit data for regulatory compliance, financial operations and human resources manage the ordering, stocktake and use of consumables, monitor equipment and infrastructure, and oversee facility cleanliness, safety and maintenance requirements. engage with stakeholders to address concerns, gather feedback, and maintain effective communication channels administer reporting processes, maintain accurate data within university and local health district systems, and contribute to compliance with regulations have a commitment to animal welfare and the use of animals in research in accordance with the NSW Animal Research Act 1985 and understanding other legislation the facility operates under. perform work activities relevant to the role's key accountabilities as approved by the manager and commensurate to the role's classification level., About you tertiary education in a relevant field or an equivalent combination of relevant training and experience experience working in laboratory animal facilities knowledge of animal breeding systems and reporting requirements skills in organisation and time management and attention to detail computer literacy and ability to maintain accurate records, experience with animal databases ability to communicate effectively, provide customer service, and work collaboratively in a team. willingness to participate in weekend or overtime rosters as required. have a general level of fitness and be able to lift and push up to 15kg hold a valid Australian Driver's License. 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 including attending a pre-commencement medical assessment. 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 Tuesday 02 June 2026 11:59 PM

About UM6P: Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims to position itself among world-renowned universities in its fields The University is engaged in economic and human development and puts research and innovation at the forefront of African development. A mechanism that enables it to consolidate Morocco's frontline position in these fields, in a unique partnership-based approach and boosting skills training relevant for the future of Africa. Located in the municipality of Benguerir, in the very heart of the Green City, Mohammed VI Polytechnic University aspires to leave its mark nationally, continentally, and globally. About IWRI: The International Water Research Institute (IWRI) provides research, education, and innovation in the fields of water and climate. In order to face the next challenges. IWRI seeks to rethink and adapt research development, innovation, and training to new paradigms. It is an institute that outlines forward-thinking pathways to address water issues in a systemic manner in Africa. IWRI's vision is to Lead and develop integrated research and processes for Water & Climate concerns in Africa. We act as an African water hub through strategic cooperation and partnerships. We share comprehensive and diverse expertise to provide scientific information by focusing on four pillars: Integrated water resources management, Climate change and adaptation, Hydroinformatics, and Water technologies. Position Summary: The International Water Research Institute (IWRI) of the College of Agriculture and Environmental Sciences (CAES) at UM6P invites applications for a postdoctoral researcher position in hybrid machine learning-physics based modeling of hydroclimatic extremes in data scarce regions. The postdoctoral researcher will develop innovative hybrid machine learning-physics based modeling approaches to improve the understanding and prediction of hydroclimatic extremes in data-scarce regions, with a primary focus on Morocco. The position aims to advance methods that integrate data-driven algorithms with physically based hydrological and climate models under conditions of limited observations, while ensuring that the resulting tools are both scientifically robust and operationally relevant. A key component of the role is the translation of model outputs into actionable information for stakeholders, particularly water resource managers and planning authorities, and the evaluation of long-term water management strategies aimed at mitigating water scarcity. The project also includes assessing the transferability of the developed approaches to other regions facing similar constraints.  Scientific context: Hydroclimatic extremes such as droughts and floods are intensifying under climate variability and change, particularly in regions where observational data are sparse and monitoring systems are limited. In such context, traditional physically based models are often constrained by insufficient data, while purely data-driven approaches may lack physical consistency and generalizability. Hybrid modeling frameworks that combine machine learning with process-based understanding offer a promising pathway to overcome these limitations. Morocco provides a compelling case study, given its pronounced hydroclimatic variability, increasing water stress, and ongoing investments in large-scale water management strategies. However, significant challenges remain in reliably predicting extreme events and assessing long-term adaptation options under deep uncertainty and data scarcity. Research Scope: The project will focus on the development of a new generation of hybrid modeling approaches that couple advanced machine learning methods with hydrological and/or climate models. Emphasis will be placed on designing approaches that are robust to data scarcity through the integration of heterogeneous data sources, including remote sensing products, reanalysis datasets, and sparse in-situ observations, as well as techniques such as transfer learning and uncertainty quantification. The research will address the detection, attribution and prediction of hydroclimatic extremes under non-stationary conditions and evalaute model performance over Morocco as a primary testbed. A central components of the work will invovle translating model outputs into decision-relevant indicators and assessin the feasibility and robustness of long-term water maangemnt strategies currently under consideration. The transferability of the developed methods to other regions will also be systematically investigated. Candidate Profile: PhD in hydrology, climate science, geosciences, applied mathematics, computer science or related field Expertise in mahcine learning, physically based modeling or hybrid approaches combining boths Strong programming skills (Python, MATLAB, Fortran, or similar) and familiarity with ML frameworks. Experience with hydroclimatic data, including remote sensing products, reanalysis datasets and/or in-situ observations Knowledge of uncertainty quantification, data assimilation, or transfer learning is a strong advantage. Proven ability to handle HPC environements is an added asset Demonstrated ability to develop and evaluate models under data-scarce conditions. Ability to communicate results to both scientific and non-technical stakeholders, including water managers and policy actors.