Seigakuin University

Based in Student Engagement Portfolio at the City East Campus Location Full-time, continuing position Salary range: $101,785 - $113,839 per annum (plus 17% superannuation) The high-impact Women in STEM Careers program empowers students to build their career readiness, supports students to develop their professional network, and contributes to Adelaide University's strategic ambitions of delivering an excellent student experience and supporting graduate employment outcomes. At Adelaide University, we create the opportunities you need to achieve your ambitions – because when you thrive, we thrive. We are transforming education for contemporary learners and global citizens. Building on a proud legacy and shaped by bold ambition, it’s a place of excellence and equity, where our vibrant community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters  The WiSC Coordinator is responsible for the end-to-end delivery of the highly successful Women in STEM Careers (WISC) program, which aims to achieve the following outcomes: Supporting women and non-binary students in current eligible STEM degrees through the WiSC program to develop leadership, entrepreneurship, opportunity awareness and career readiness  Empowering and supporting young women and non-binary students to develop a range of professional and personal skills and capabilities to build confidence, resilience, communication skills and an understanding of one’s strengths and personal brand Building professional networks across the women in STEM student cohort and with industry partners This position coordinates all aspects of the WiSC program including program planning, student recruitment, student and employer enquiries and participation, event and activity planning and delivery, stakeholder communications, program reporting and other general tasks. The role leads the continuous review and improvement of the program and contributes to the strategic direction of the offering. In addition, the WiSC Coordinator has responsibility for sourcing and securing financial sponsorship for the program and managing relationships with these employer partners to ensure sponsorship deliverables are met and meaningful student-industry engagement opportunities are delivered, contributing to the strategic direction of Careers and Employability. Curious to learn more? Explore the full role description below to discover more about this opportunity. The team Reporting to the Manager, Industry Engagement, this role will work closely with students, alumni, academic and professional staff, industry partners and sponsors, event suppliers and staff across the broader External Engagement Portfolio.  Visit the AU website to learn more about Student Experience and Success portfolio.  Our people Our people are guided by purpose, curiosity and a commitment to lifelong learning. We embrace authenticity, innovation and collaboration, and harness diverse thinking in our pursuit of excellence. This role is perfect for someone who enjoys variety and meeting new people. You will experience a range of tasks and interactions, keeping your workday interesting and engaging.  You will have the chance to build strong relationships with stakeholders and contribute to their satisfaction and success.  Learn more about our people, what we stand for and what we offer at Careers at AU. Experience  To join our community and thrive in this role, you will likely have the following skills and experience Proven experience delivering customer or student focused services Demonstrated success in coordinating and executing events from conception to completion Experience in business development and stakeholder relationship management and sponsorship management Experience in program coordination and evaluation under general direction Strong communication and interpersonal skills across diverse audiences Strong digital literacy in working with complex systems Our commitment to inclusion and diversity  We are committed to fostering a culture of inclusion where diversity is celebrated and everyone feels respected and valued. Adelaide University is an equal opportunity employer, committed to creating a safe, inclusive, and equitable workplace where everyone can thrive. We strongly encourage applications from Aboriginal and Torres Strait Islander peoples, people with disability, and people of all ages, genders, cultural backgrounds, sexual orientations, and gender identities. We are committed to supporting flexible working arrangements and providing reasonable adjustments throughout the recruitment process.  Launch your future with Adelaide University now  Applying is simple. Simply click on the Apply Now button and upload:  your current CV  a cover letter that tells us why you’re excited about the role  Submit your application by 11:55pm Wednesday 15 July 2026  The University reserves the right to close this advertisement before the closing date if a suitable candidate is identified.  For further information about this opportunity, please contact (quoting referencing number 493260):  Taryn Giles  Team Lead, Talent Acquisition +61 8 8302 1700 | careers.adelaideuniversity@adelaide.edu.au Applications welcomed from Australian or NZ citizens, Australian permanent residents and those who have the legal right to work in Australia for the term of appointment.

We are seeking a highly motivated doctoral researcher to join the What Makes Us Human? Identifying, Evaluating and Modelling Specialist AI Competence (HUMAIN) project, investigating how large language models (LLMs) approximate, extend, or diverge from human expertise across domains. The starting date is negotiable but should be no later than November 1, 2026. The position is fully funded until August 31, 2030 (46–48 months, depending on the starting date). About the project As LLMs become increasingly embedded in education, work, and everyday life, understanding their relationship to human competence is both scientifically and societally urgent. Existing benchmarks largely measure accuracy or linguistic fluency, but overlook the tacit, contextual, and ethical dimensions that define real-world expertise. HUMAIN addresses this gap by developing the online Competence Imitation Game (COMIG), a novel, experimentally validated framework that allows domain experts to interrogate and evaluate human- and LLM-generated responses through structured question-answer-evaluation conversations. Combining computational and interpretive methods, the project will generate reproducible, cross-domain datasets of paired human–AI responses, analysed through embedding-based similarity measures, feature extraction, LLM-as-evaluator approaches, and qualitative interpretation. Domain experts are involved from the outset, helping to develop practitioner-informed metrics for imitation quality, contextual alignment, and pragmatic fit. Empirically, HUMAIN will conduct seven COMIG studies spanning everyday life, education, and work, engaging over 900 participants internationally. The project will also evaluate adaptation techniques, including prompt calibration, retrieval-augmented generation, and fine-tuning, to examine how LLMs can better align with domain-specific reasoning. For more information on COMIG, please see the article ”Introducing the Competence Imitation Game: A Research and Teaching Tool for Context-Specific AI Literacy” (https://ceur-ws.org/Vol-4138/paper3.pdf).  About the position You will support the further development of COMIG and contribute to empirical data collection, analysis, and reporting. You will be a part of the Research group on AI in Society and Education (RAISE) and work closely with Associate Professor Linda Mannila, PhD Otto Segersven and a postdoctoral researcher to be recruited. Who we are looking for We welcome applicants with a background in computer science, data science, language technology, or a related field. Applicants with, for example, a master's degree in social sciences combined with a strong background in data science, computational methods, or computer science are equally eligible. The position requires: Strong background in research methodology, including the design and implementation of empirical studies with human participants. Strong analysis skills, including both quantitative and qualitative methods. Strong background in computational methods, especially for working with text data. Experience with mixed-methods research (quantitative and qualitative). Excellent English skills. Knowledge of Finnish and/or Swedish, considered a merit, as some studies will preliminarily be conducted in Finnish contexts. LLM expertise, including prompt calibration, retrieval-augmented generation, and fine-tuning, considered a merit. In addition, according to the system of the University of Helsinki, all doctoral researchers belong to a doctoral programme. The successful candidate should apply to Doctoral Programme in Science and obtain the study right within the trial period of six months of their employment contract. Please check the admission periods and eligibility criteria at https://www.helsinki.fi/en/admissions-and-education/apply-doctoral-programmes/how-apply-doctoral-programmes. We offer A world class academic community that promotes diversity, international engagement and equality. We encourage all qualified applicants from diverse backgrounds to apply for our positions A starting salary of approximately 2800 euros/month Occupational health care and other social benefits Support for internationally recruited employees with their transition to work and live in Finland A chance to live in Helsinki and Finland renowned for their high quality of life, services, and work-life balance Application instructions Applications are to be submitted through the University of Helsinki´s recruitment system and include the following documents: CV  A motivation letter (max 2 pages). Please also include a brief description of your research ideas relevant to the project, for example, how you would design the empirical studies. We are interested in your own thinking about how to approach the methodological and analytical challenges the project raises. Contact information of two referees to provide reference letters upon request  The deadline for submitting the application is August 16, 2026 (at 23:59 UTC + 3). External applicants, please submit your application via the Apply Now button. Internal applicants, who have a helsinki.fi username and a valid employment/grant/visitor contract, please submit your application via the Employee login button. Additional information For more information on the position and the Research group on AI in Society and Education, please contact Associate Professor Linda Mannila (linda.mannila@helsinki.fi).  With technical questions related to the recruitment system, please contact recruitment@helsinki.fi. *** The Department of Computer Science at the University of Helsinkin is a leading unit in Finland in its area and responsible for the teaching and research in computer science at the University of Helsinki. The main research fields at the department are artificial intelligence, big data frameworks, bioinformatics, data analysis, data science, discrete and machine learning algorithms, distributed, intelligent, and interactive systems, networks, security, and software and database systems. The department has extensive international collaboration with companies and universities. Within teaching, the department’s professors and staff are in charge of the Bachelor’s, Master’s, and Doctoral Programmes in Computer Science, as well as the separate Master’s Programme in Data Science, in which other departments also participate. 

Ref.: 536726 Work type: Full-time Department: Department of Pathology, School of Clinical Medicine (21200) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Post-doctoral Fellow in the Department of Pathology, School of Clinical Medicine (several posts) (Ref.: 536726), to commence as soon as possible for one to two years, with the possibility of renewal subject to satisfactory performance. Applicants should possess a Ph.D. degree in biological science, biomedical sciences, bioinformatics or related disciplines. They should be self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in bioinformatics, deep learning and/or biomedical image and clinical data analysis (e.g. Linux, R programming) is essential. The appointees will need to perform data analysis of single cell RNA-sequencing, transcriptomics data, Nanopore long read sequencing analysis and/or multimodality deep learning model development in different sarcomas. Publications in related fields will be a strong advantage. Opportunities for publication and independent development will be available. Additional basic laboratory skills in handling clinical samples (e.g. FFPE tissue, blood), preparation of samples for scRNA-seq and DNA/RNA extractions will be desirable. Enquiries about the duties of the post should be sent to Dr. Maximus Yeung at mcfyeung@hku.hk. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until Sept 30, 2026, or until the post is filled, whichever is earlier. Applications close:Sep 30, 2026 (HK Time)