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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. 

Full time, fixed term until 17th December 2027 Exciting opportunity to contribute to the successful delivery of strategic education initiatives Base Salary $131,108 - $147,858 (HEO8) + 17% superannuation About the opportunity As the Senior Programs Officer, you will provide operational and project management support within the Education Portfolio, driving the delivery of Teaching and Learning and Curriculum related initiatives. You will manage project organisation, develop and implement detailed project plans, and ensure activities and deliverables are completed on time and within budget. You will also work closely with project sponsors to ensure comprehensive reporting on delivery, milestones, risks and issues. A key focus will be aligning projects with strategic priorities through strong governance, stakeholder engagement, and data-driven decision-making to enhance the student and academic experience. Your key responsibilities will be to: manage project organisation, including defining roles, responsibilities, and performance indicators develop and implement project plans across multiple work streams, ensuring milestones and deliverables are met establish governance and reporting processes to track performance and support informed decision-making design and execute communication and engagement strategies for key initiatives and digital platforms build and maintain effective relationships with stakeholders, sponsors, and external partners manage project financials, including monitoring budgets and preparing reports identify risks and implement mitigation strategies to ensure successful outcomes contribute to continuous improvement through process optimisation and stakeholder feedback. About you bachelor's degree in a relevant field or equivalent experience extensive project management experience in a complex organisation proven ability to manage multiple projects and stakeholders simultaneously strong knowledge of curriculum policy and legislative frameworks excellent organisational, planning, and time management skills demonstrated ability to interpret complex policy and provide expert advice experience managing budgets and financial reporting outstanding communication, negotiation, and conflict resolution skills. Sponsorship / work rights for Australia You must have unrestricted work rights in Australia for the duration of this employment to be eligible 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 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 Nicole Turle Recruitment Operations by email to nicole.turle@sydney.edu.au Copyright 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

CSAES - Postdoctoral in Experimentation and analysis of the dissolution and diffusion of different fertilizer formulations About UM6P: At the heart of the future Green City of Benguerir, the University Mohammed VI Polytechnic (UM6P), a higher education institution of international standard, is established to serve Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development. This nascent university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process seeks high-quality academics and professionals to bolster its research environment in the metropolitan area of Marrakech.   About CAES: The College of Agriculture and Environmental Sciences (CAES) is a cornerstone of UM6P’s commitment to addressing the critical challenges of agriculture, water management, and climate change in Africa. Established to operationalize the Agriculture, Water, and Climate (AWC) strategy, CAES integrates advanced research, education, and innovation across multiple disciplines. By leveraging cutting-edge technologies, strategic partnerships, and applied research, CAES aims to foster sustainable development, enhance food security, and improve natural resource management in Morocco and beyond. Area of specialization: experimentation, dissolution/diffusion of fertilizers in water and/or in soils Job/Project description: The CAES at the University of Mohammed VI Polytechnic seeks a dynamic and highly motivated individual to join our academic institution as a postdoctoral research staff member with expertise in fertilizer dissolution and diffusion experiments. The successful candidate will contribute to our institution's commitment to excellence in research and innovation in fertilizer experiments. The candidate will study the dissolution and diffusion of fertilizers in water and/or soils with different degrees of saturation. The aim is to conduct experiments and generate data that will be used to develop new models of the dissolution and diffusion of different fertilizer formulations. The main responsibilities are: Conduct experiments in the Lab, prepare soil for physico-chemical property measurements, analyze the dissolution and diffusion of different formulations of fertilizers, prepare high-quality manuscripts, mentor master’s students, and PhDs Education, qualifications, and experience Applicants must have earned a doctorate in a field strongly linked to the topic of the postdoctoral position Strong knowledge of fertilizer experiments. High-quality publications in relevant scientific journals demonstrate a strong record of research accomplishments. Strong communication skills in English/French, both written and verbal, to effectively engage with students, colleagues, and the broader scientific community. Applications and selection procedure: The application folder must contain: Cover letter indicating the position applied for and the main research interests. Detailed CV. Statement of research describing the candidate’s experience with the position field. 2 reference letters