University of Canterbury - Business School

Classification: Academic Level B Salary package: $124,638 - $141,317 per annum plus 17% superannuation Terms: Full time, Fixed term (up to 12 months) Flexible arrangements, job share, or part time hours will be considered. Position Description and Selection Criteria: PD&PEWER_Level B_Research Fellow_CSS_2026.pdf Define and solve problems in successful human-AI partnership for information seeking and utilisation Collaborate with a vibrant and internationally recognised research group at ANU Work with industry and government partners to apply AI research to real-world outcomes About the opportunity This position is a fixed term appointment for a period of one year (up to 12 months) to contribute to research in artificial intelligence, with a particular focus on large language models and their interface to humans with varying expertise in real-world responsible AI scenarios. The successful candidate will design and develop new AI algorithms and systems, engage with a dynamic research group within the School of Computing, and collaborate with industry and government partners to translate research findings into real-world impact. Applications are particularly invited from researchers who undertake high-impact collaborative and cross-disciplinary research, and whose interests and expertise contribute to the activity cluster, School, and College. About the School The School of Computing has a strong foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and computational science. Our mission is motivated by the need to design, drive and sustain strategic activities via five broad focus areas: Computing Foundations, Computational Science, Intelligent Systems, Data Science and Analytics, and the Software Innovation Institute. Be part of an innovative and forward-looking intellectual agenda, built on a diverse, inclusive culture. About the College As one of the great universities of the world, ANU is driven by a culture of excellence in everything we do. Our lived experience is increasingly one of large-scale systems of people, whose actions and interactions are influenced by our digital, physical and biological environment. The ANU College of Systems and Society (CSS) hosts many of the key disciplines necessary to help us design, build, regulate and secure the future. CSS brings together expertise in social, technical, computational, ecological and scientific systems to build a new approach to systems design and build new national capabilities in data-driven policy and business development. The work we do in the College is to strengthen our national mission and meet our unique responsibilities as Australia’s national university. We will deliver on our mission by building a strong community, providing transformative educational experiences, conducting high-impact research, seeking meaningful engagement, and becoming a resilient organisation. We welcome and openly acknowledge differences in expertise, research / education / professional focus, experience and perspective. CSS is a vibrant and diverse community of more than three thousand students, staff, and visitors. Our College is comprised of the School of Computing, School of Cybernetics, School of Engineering, Fenner School of Environment & Society, Mathematical Sciences Institute, and the Australian National Centre for the Public Awareness of Science, supported by the Professional Services Group. Enquiries To enquire about this role, please contact Professor Lexing Xie via lexing.xie@anu.edu.au. Our commitment to diversity, belonging, inclusion and equity ANU is committed to building a diverse and inclusive community, and particularly welcomes applications from women, Aboriginal and Torres Strait Islander people and candidates from culturally and linguistically diverse backgrounds. Furthermore, it is practice in the ANU College of Systems and Society to actively seek a gender mix of shortlisted candidates for interview. We welcome and develop diversity of backgrounds, experiences and ideas and encourage applications from individuals who may have had non-traditional career paths, who may have taken a career break, had career disruptions or who have achieved excellence in careers outside of the higher education sector. We support applicants who require flexible arrangements in their work environments or patterns. What we offer The ANU provides attractive benefits and excellent support to maintain a healthy work/life balance and offers generous remuneration benefits, including four weeks paid vacation per year, assistance with relocation expenses and 17% employer contribution to superannuation. We also offer generous parental leave, the possibility of flexible and part time working arrangements, a parental and aged care support program, dual career hire programs, staff and family tuition fee discounts, ANU school holiday programs, and childcare facilities on campus. How to apply Applicants must apply online via the ANU recruitment portal and should upload the following separate documents: A detailed curriculum vitae (CV) including a full publication list and the names and contact details of at least three referees (preferably including a current or previous supervisor). A cover letter telling the selection committee about your interests and expertise in AI research, in particular large language models and their applications. (Optional) An achievement relative to opportunity statement where appropriate. Applications which do not address the selection criteria may not be considered for the position. Please note: The successful candidate will be required to undergo a background check during the recruitment process. An offer of employment is conditional on satisfactory results. Closing Deadline: Wednesday, 29 July 2026, 11:55 pm (AEST) 

The University of Helsinki is an international scientific community of 40,000 students and researchers. It is one of the leading multidisciplinary research universities and ranks among the top 100 international universities in the world, and 8th in the world in Ecology. We are an equal opportunity employer and offer an attractive and diverse workplace in an inspiring environment with a variety of development opportunities and benefits. The Faculty of Biological and Environmental Sciences is Finland’s largest and most high-profile and extensive hub of research and teaching in the field. The Faculty educates experts to meet the needs of universities, research institutes, government, schools and the business sector. The positions Up to three post-doctoral positions are available at the University of Helsinki, Finland working in the research groups of Prof. Craig Primmer and Dr. Tutku Aykanat (http://www.helsinki.fi/evolution-conservation-and-genomics ) as a part of several related research consortia funded by the Research Council of Finland, the Kone Foundation and the ERC, with a focus on using the well studied Teno Atlantic salmon system as a model for adaptive management to assess biological and societal effects of recent anthropogenic changes on the Atlantic salmon metapopulation, alongside a detailed genetic and ecological evaluation of Pink salmon invasion in the river basin and the greater region. Successful applicants will likely have a strong background in research related to at least one of the themes listed below, but the specific combination of expertise is flexible, with the overall composition of the team being most important. Effects of management and ecosystem-related changes on salmon life-history phenotype and genotypes Evolutionary genomic approaches for assessing the effects of recent fishing management changes and invasive Pink salmon abundance on life-history phenotypes and genotypes. Relevant consortium publications: Erkinaro et al. 2019; Czorlich et al. 2018, 2022 Assessing sex-specific natural selection effects at key life-history loci due to anthropogenic and environmental factors Use of long- term data on Teno salmon reproductive fitness to assess potential sex-specific effects of recent fishing management changes and invasive Pink salmon abundance selection on Atlantic salmon life-history traits Relevant consortium publications: Czorlich et al. 2018; Mobley et al. 2019, 2020, 2024 Pink salmon genetics: determining the genetic basis of successful invasion Use of long-term scale material to identify genomic regions and structural variation potentially associated with higher invasion success. Relevant consortium publications: Erkinaro et al. 2026 Instructions for applying Appointees to the positions shall hold a doctoral degree and have the ability to conduct independent scholarly work. Suitable applicants will likely have a strong background in at least some of the themes and approaches listed above, although the species/system with which they have experience is less important. The ability to work as a part of a larger multidisciplinary research team addressing related questions is also important. Informal inquiries can be directed to Professor Craig Primmer (craig.primmer@helsinki.fi) and Dr. Tutku Aykanat (tutku.aykanat@helsinki.fi). Formal applications should include as a single pdf file: a CV including a list of publications and with names and contact details of at least two referees an approx. 1 page letter of motivation that includes specification of the theme (or themes) you are most interested in To apply, please submit your application using the University of Helsinki electronic recruitment system by clicking on the Apply now button. If you need technical support with the recruitment system, please contact recruitment@helsinki.fi. The deadline for applications is 23:59 EEST on 7.8.2026 and remote interviews of short-listed candidates are planned for 17-21.8.2026. The positions are available from 1.9.2026 but start dates up to mid 2027 will be considered (although an earlier start is preferred). Positions are available for up to three years, with continuations dependent on obtaining additional funding. Salary Due to different sources of funding, either a salary or a tax-free stipend may be paid. Salaries will be based on level 5 of the demands level chart for teaching and research personnel in the salary system of Finnish universities. In addition, the appointee will be paid a salary component based on personal performance with the overall starting salary amounting to c. 3700-4300 EUR per month, depending on the previous relevant research experience of the candidate. The tax-free stipend, paid by Kone Foundation directly to the candidate, amounts to €3200 monthly (including compulsory pension and insurance payments), and can be topped up with 10% salary (see above). A grant-funded researcher contract is made with a candidate, who receives tax-free stipend instead of salary. Why Finland? Finland is a member of the EU, has high quality free schooling (also in English), very affordable childcare, generous family benefits and healthcare, and has been ranked as the world’s happiest country six years running and the best country in the world for expat families and the City of Helsinki is in the world’s top ten most livable cities. The University of Helsinki is a top 100 ranked university in most ranking lists, is ranked 8th in the world in Ecology (Shanghai subject ranking) and is currently investing heavily in life science research (see https://www.helsinki.fi/en/helsinki-institute-of-life-science). The research team currently consists of 4 post docs, 4 PhD students and 4 research assistants with 9 different nationalities. The salmonid fish research field has traditionally lacked gender and cultural diversity, but the group is committed to helping to influence a change and we therefore strongly encourage applications from researchers with diverse backgrounds. Successful applicants are expected to adhere to the university and research group’s codes of conduct. Relevant publications: Barson et al. (2015) Sex-dependent dominance at a single locus maintains variation in age at maturity in salmon. Nature 528:405–408.  Czorlich, Y., Aykanat, T., Erkinaro, J., Orell, P., & Primmer, C. R. (2018). Rapid sex-specific evolution of age at maturity is shaped by genetic architecture in Atlantic salmon. Nature Ecology and Evolution, 2(11), 1800–1807. doi: 10.1038/s41559-018-0681-5  Czorlich, Y., Aykanat, T., Erkinaro, J., Orell, P., & Primmer, C. R. (2022). Rapid evolution in salmon life history induced by direct and indirect effects of fishing. Science, 376(6591), 420–423. doi: 10.1126/science.abg5980 Erkinaro, J., Czorlich, Y., Orell, P., Kuusela, J., Falkegård, M., Länsman, M., Pulkkinen, H., Primmer, C. R., & Niemelä, E. (2019). Life history variation across four decades in a diverse population complex of Atlantic salmon in a large subarctic river. Canadian Journal of Fisheries and Aquatic Sciences, 76(1), 42–55. https://doi.org/10.1139/cjfas-2017-0343 Erkinaro, J., Orell, P., Fossoy, F., Kytokorpi, M., Gjelland, K., Johansen, N., . . . Falkegard, M. (2026). Rapid increase in abundance and distribution of invasive pink salmon (Oncorhynchus gorbuscha) within a diverse, large Barents Sea catchment. Journal of Fish Biology. doi:10.1111/jfb.70348 Mobley, K. B., Granroth-Wilding, H., Ellmen, M., Vähä, J.-P., Aykanat, T., Johnston, S. E., … Primmer, C. R. (2019). Home ground advantage: Local Atlantic salmon have higher reproductive fitness than dispersers in the wild. Science Advances, 5(2), eaav1112. doi: 10.1126/sciadv.aav1112 Mobley, K. B., Granroth‐Wilding, H., Ellmén, M., Orell, P., Erkinaro, J., & Primmer, C. R. (2020). Time spent in distinct life history stages has sex‐specific effects on reproductive fitness in wild Atlantic salmon. Molecular Ecology, 29(6), 1173–1184. doi: 10.1111/mec.15390 Mobley, K. B., Barton, H. J., Ellmén, M., Ruokolainen, A., Guttorm, O., Pieski, H., Orell, P., Erkinaro, J., & Primmer, C. R. (2024). Sex-specific overdominance at the maturation vgll3 gene for reproductive fitness in wild Atlantic salmon. Molecular Ecology, 33(14), e17435. https://doi.org/10.1111/mec.17435 

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.