University of Toyama

The Faculty of Educational Sciences invites applications for the position of Postdoctoral Researcher for a fixed-term appointment for 3 years, starting in September 2026 or as agreed. The position is embedded in the AI-EMOTION project (Academic emotions in the AI learning era). AI-EMOTION is a European Research Council (ERC) funded project at the Faculty of Educational Sciences, University of Helsinki, led by Principal Investigator Dr. Elina Ketonen. We investigate what happens emotionally when students use AI tools in learning: how affect influences engagement, motivation and interaction in AI-mediated learning situations. The project brings together expertise from learning sciences, computer science and psychophysiology. Our aim is to advance theory on affective processes in human-computer interaction and to develop novel multimodal methods to measure and model emotions in real-world learning environments.  Job description The successful candidate will investigate academic emotions and emotional well-being in technology-mediated learning, with a focus on psychophysiological indicators of emotions in ecologically valid learning settings. The position contributes to the AI-EMOTION project by combining wearable sensor data (e.g., cardiac and electrodermal signals) with event-based self-reports (experience sampling). A central task is to drive methodological development by advancing and validating sensor data processing and feature extraction workflows, and by developing approaches to integrate these outputs with self-reports to model students’ emotions beyond laboratory settings. The work duties of the selected candidate include:  Planning and implementing data collection in real-world learning contexts (including wearable-sensor measurements and experience sampling via smartphones)  Processing and analyzing wearable-sensor data (e.g., preprocessing, artefact handling, feature extraction, synchronization/alignment with experience-sampling prompts)  Statistical modelling and analyses of collected multimodal data (e.g., within-person dynamics, multilevel models, dynamic models/time-series approaches)  Publishing results in high-quality international scientific journals and presenting findings at major conferences  Supporting project coordination and administration as agreed (e.g., contributing to reporting, documentation, data management practices, project deliverables)  Teamwork within the multidisciplinary research group (e.g., learning sciences, educational psychology, computer science)  Small-scale supervision and/or teaching tasks as agreed (e.g., co-supervision of theses, supporting research training within the project).  Qualification requirements and selection criteria We are looking for a creative and forward-thinking post doc who has (or is close to completing) a PhD in a relevant field (e.g., educational sciences, psychology, cognitive science, health sciences/biomedical engineering, data science) and demonstrate the ability to conduct independent, innovative and high-quality research. The successful candidate should have expertise in psychophysiological measurement and/or wearable-sensor data analysis, including signal processing and feature extraction, and a strong interest in studying emotions and well-being in technology-mediated learning, with a particular focus on AI. Excellent written and spoken English, as well as strong communication and collaboration skills, are essential given the interdisciplinary nature of the project. Experience with multimodal data integration, research with relevance to the project area and demonstrated experience of methodological development are considered merits. The position involves some fieldwork with study participants across the University of Helsinki’s campuses during the data collection, and regular on-site work at the University of Helsinki City Centre Campus. The appointee is expected to reside in Finland while employed by the University of Helsinki. The Faculty of Educational Sciences provides assistance in relocation. We offer The position offers a unique opportunity to work as part of an eager and ambitious team and contribute to delivering breakthrough research within an ERC-funded project.  The Faculty of Educational Sciences is a dynamic, inspiring and international working and studying environment that has invested in state-of-the-art research and teaching infrastructure. We encourage our staff to make bold and creative decisions while exercising high standards of ethical conduct in research, teaching and community relations.  Salary is based on level 5 in the requirement scheme for teaching and research positions in the salary system of Finnish universities. In addition, the appointee is paid a salary component based on personal performance. The gross monthly salary will be approx. 3,570 € - 4,010 € depending on the appointee’s qualifications and experience. A 6-month probation period is applied.  The University of Helsinki provides its staff with occupational health and fitness services, professional development opportunities, as well as a first-class research and teaching environment and the conditions necessary for international cooperation. Read more about work at our university. For international applicants we offer relocation services and support in settling-in, training and other events especially designed for our international staff members, a special UniBuddy-program and specialized support for spouses (HEI LIFE Spouse Network). You can find more information here.  How to apply  The application, together with the required attachments, must be submitted through the University of Helsinki recruitment system by clicking on the link below. Internal applicants (i.e., current employees of the University of Helsinki) must submit their applications through the SAP Fiori portal. Please note that all application documents must be submitted as a single PDF file either in Finnish or English, named as lastname_postdoc_AIemotion. Make sure to attach the PDF to the position you’re applying for in the recruitment system. Please include the following documents in your application:  A statement of motivation and competence (max. 750 words): your motivation for applying for the position, expected contribution to the project and key skills relevant to the position (especially wearable sensor/signal analysis and multimodal methods)  A CV (with contact information of two references) A list of publications with key publications relevant to the position highlighted  A brief research/development plan (max. 500 words): how you would develop methods for joint analysis of sensor data and experience-sampling (ESM) self-reports to advance multimodal emotion modelling within the project?  Kindly see instructions for the attached documents. Other attachments, including letters of recommendation or certificates, are not required at this point. We appreciate a self-written application that reflects your own voice and thoughts. The closing date for applications is May 31, 2026. Top candidates will be invited to an interview, which will be held either on site or remote in June 2026.  A diverse and equitable study and work culture is important to us. That is why we do our best to promote an inclusive university community. We encourage all qualified applicants from diverse backgrounds to apply for our positions.  Further information  Should you have any questions about the position, please contact Principal Investigator, Dr. Elina Ketonen (elina.e.ketonen@helsinki.fi)  In questions related to the recruitment process, kindly contact HR Specialist Hector Nystedt (hector.nystedt@helsinki.fi)  Click this link to read about accessibility and inclusivity at our University. Why Finland Finland is a member of the EU, has high quality and inexpensive childcare, free schooling and tertiary training (also in English), excellent family benefits and healthcare, and is ranked as one of the top countries in the world for expat families. Finland also repeatedly tops the World Happiness Report. Read more about why Finland is a great place to live and work.

In the Student Hub, we are the first point of contact for students with queries during their time at the University of Southampton. Our role is to take ownership of enquiries, providing accurate, timely solutions and consistent advice through both in‑person and digital contact methods. By offering high‑quality support and guidance, we enable students to focus on their studies and make positive memories that will last a lifetime. Working within a supportive and collaborative core team, you will cover a wide range of topics and develop a strong understanding of the University of Southampton and the wider higher education sector, while building your customer service, communication and problem‑solving skills. You will respond to enquiries through face‑to‑face interactions, telephone calls and digital channels, taking responsibility for resolving issues wherever possible. This includes using sound judgement to triage enquiries and escalate more complex or sensitive cases to specialist services, ensuring students receive clear, accurate and consistent advice. About the role As a Student Hub Advisor, you will support students across a broad range of topics, including academic administration, student fees and funding, accommodation, graduation and ID cards. Working as part of a knowledgeable team, you will gain exposure to a variety of services and processes, with ongoing opportunities to learn, build confidence and develop your skills, supported by experienced colleagues. This is a full‑time, permanent position working on a shift pattern between 12.00 and 20.00, Monday to Friday. The role is primarily based at the Highfield Campus, with a requirement to work across all Student Hub locations in Southampton and at Winchester School of Art. As a student‑facing service, the role is delivered entirely on site and there is no option for hybrid working or working from home. About you You will enjoy working in a busy, customer‑focused environment and be committed to delivering a positive experience for students. You will be a confident communicator, both written and verbal, comfortable engaging with students with a wide range of needs and experiences. You will bring strong customer service skills, confidence in using multiple systems accurately and efficiently, and an aptitude for learning new systems and internal processes. Experience of working in higher education or student support services is desirable but not essential. Above all, you will be enthusiastic and keen to learn, with a collaborative approach to working within a team and a strong commitment to supporting students by providing clear, consistent information throughout every stage of their University journey. About Us The Student Hub is the first point of contact for students seeking support throughout their studies. Their questions matter, and we are here to provide advice, guidance and reassurance at every stage of their journey with the University of Southampton. No issue is too big and no question is too small. Thank you for your interest in joining the Student Hub Team. To learn more about working in the Student Hub, visit our webpages. If you would like an informal conversation about this role or have any questions, please contact studenthubmanagement@soton.ac.uk. Interviews are expected to take place week commencing 8 June.

At the heart of SIT’s mission is to nurture industry-ready graduates equipped with deep technical expertise and transferable skills to tackle tomorrow’s challenges. SIT collaborates with industry in our education, while benefitting them with our talent supply and collaborative research achievements. The University’s unique applied learning pedagogy integrates work and study, embedding authentic learning experiences within real-world environments. Through strategic partnerships forged by our faculty with industry, learners bridge theoretical knowledge with practical application in and out of the classroom. Such active & authentic learning opportunities ensures graduates step into their careers with applicable skills and competence. In research, SIT faculty aims to bridge knowledge creation and utilisation. Our faculty collaborates closely with industry on translational research and innovation with focus on addressing pertinent industry challenges to impact businesses. The Singapore Teaching and Academic Research Talent (START) Scheme is co-funded by the Ministry of Education (MOE) and SIT to encourage and support outstanding young Singaporeans interested in pursuing an academic career at SIT. The Early Career Awards (ECA) are designed to support Singaporeans who have recently completed their postdoctoral training and prepare them for an academic career at SIT. This award aims to enhance the teaching capabilities of the recipient and help build a strong research portfolio. Eligibility and Selection Criteria Singapore Citizen Recently completed postdoctoral training Excellent academic record plus a high degree of proficiency and motivation for a research area that is strongly aligned with SIT’s supported areas Strong passion for teaching, research and an academic career Benefits Awardees may receive research grants to help build a competitive research portfolio. Upon completion of the award, awardees will be considered for Assistant Professorship. Awardees will also be assigned a faculty mentor for the duration of the scheme. Application Process Applications are open throughout the year. Applications received before 15 January 2026 will be considered for intake 2026. Interview by the respective clusters for shortlisted applicants will be conducted throughout the year. Final Interview by Panel for shortlisted applicants will take place from March to April 2026. Awards for intake 2026 will be finalised by July 2026. Supported Areas for START Food, Chemical and Biotechnology Sustainable and Functional food: Sustainable food systems & circular food economy - alternative proteins, upcycled ingredients); AI & automation in food manufacturing - smart sensors, digital twins, and AI-driven food quality control and processing; Food safety - supply chain tracking/monitoring, blockchain Biotechnology: Host strain screening and engineering for microbial bioprocess development; microbial physiology and adaptation for industrial applications; high-throughput screening and automation for strain optimization; bioprospecting for novel microbial hosts, enzymes, and metabolites to support sustainable biomanufacturing. (Bio)pharmaceuticals: Processing science and technology for bio- and chemical transformations, separations, purifications and formulation applied to pharmaceuticals manufacture; modelling of processing steps and whole processes to support innovation, design, optimisation and control for manufacturing operations. Process control: process modelling, control, and optimization, with applications in chemical and pharmaceutical manufacturing; data-driven modelling and machine learning applications in process industries; advanced process control (APC); model predictive control (MPC); digital twins and real-time process monitoring and control; process analytical technology (PAT); process intensification and sustainability.