University of California, Riverside

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 Applied Research Fellowship aims to provide doctoral candidates who are about to complete or have recently completed their studies an opportunity to engage in advanced training and/or research at an overseas university for one year. Besides financial support, awardees will also receive academic mentorship. Upon completion of the Fellowship, awardees will be considered for Assistant Professorship. Eligibility and Selection Criteria Singapore citizen  Doctoral candidates who have recently completed or are about to complete their studies in a discipline under the supported areas for START below Excellent academic record plus a high degree of proficiency and motivation for selected research area Have been accepted or have applied for a postdoctoral training at a leading overseas university in a research area that is aligned with SIT’s supported areas A keen interest in an academic career Value of Fellowship The Fellowship provides: Monthly stipend Overseas maintenance allowance Return economy airfare Conference and fieldwork grants Overseas medical insurance Fellows will also each be assigned a SIT faculty mentor throughout their post-doctoral training and have opportunities to participate in faculty development programmes. The fellowship is tenable for one year. On an exception basis, a two-year programme may be supported. Service Commitment One year for every year of sponsorship. Application Process Applications are open throughout the year via the various links below. Applications received before 15 January 2026 will be considered for the 2026 intake.  Interview by the respective clusters for shortlisted applicants will be conducted throughout the year. Final Interview by the Panel for shortlisted applicants for the 2026 intake will commence in Mid-March to End April 2026. Awards will be finalised by July 2026. Supported Areas for START - Food, Chemical and Biotechnology Sustainable and Functional food: Sustainable food systems and circular food economy - alternative proteins, upcycled ingredients); AI and 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.

Full time, continuing position within the Advanced Analytics, Planning and Enterprise Data team Lead the delivery of targeted insights to shape strategy, improve outcomes and transform the end-to-end student experience. Offering a competitive remuneration package including 17% superannuation About the opportunity The University is seeking a Head of Student Insights and Analytics to set strategic direction and embed an insight led culture across portfolios and faculties, aligned to modern insights and analytics practices. Leading a team of analytics specialists, you will drive operational excellence, uplifting platforms, pipelines, reporting and visualisation for scalable, self service access, while translating insights into action through clear adoption pathways, measurable outcomes and continuous improvement. This role is ideal for an Insights and Analytics leader with extensive experience in proactively scanning sector trends and market dynamics. The Head of Student Insights and Analytics defines and leads the University's institution wide insights capability, defining how evidence, data and intelligence are used to shape strategy, improve outcomes and transform the end-to-end student experience. Your key responsibilities will be to: proactively monitor emerging trends in higher education, student behaviour, market dynamics and market positioning ensure the University remains ahead of sector shifts and is equipped to respond to emerging risks and opportunities work closely with and advise members of the University Executive as well as other senior leaders understand the requirements of each business area, translate complex analytical concepts into clear, actionable business insights, and promote the strategic value of data driven decision making. act as an insights thought leader for the University by monitoring emerging trends in market research, analytics, student experience intelligence and data technologies lead activities that strengthen the organisation's capacity to deliver insights at scale. About you working experience in a senior leadership role within an Analytics and Planning function within a large and multi-faceted organisation (tertiary sector and institutional knowledge is advantageous) successful leadership and management of a high-performing team of analytics specialists with the ability to uplift capability, and build a culture of innovation, service excellence and collaboration proven experience in identifying opportunities for innovation, championing modern market research and analytical practices, and ensuring the institution is equipped to leverage data demonstrated capability in leading the uplift of reporting and visualisation practices across the institution, ensuring insights are delivered through modern, intuitive, consistent and scalable reporting channels able to operate with a high degree of tact and professionalism across all levels of diverse internal and external environments outstanding presentation, communication and influencing skills to drive key messaging and actionable insights across varied and diverse audiences. 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 LGBTQIA+. We welcome applications from candidates from all backgrounds.We are proud to be recognised as an Australian Workplace Equality Index (AWEI) Platinum 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 Nayomi Siriwardane, Recruitment Operations by email to nayomi.siriwardane@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 Friday 22 May 2026 11:59 PM

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.