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PhD: AI Driven Innovation in Higher Education Faculty: Faculty of Social and Behavioural Sciences Department: Education & Pedagogy Hours per week: 36 to 40 Application deadline: 20 August 2025
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Preparing instructors to use AI tools critically, effectively, and ethically is one of the most urgent challenges in education today. As AI becomes more integrated into classrooms, there is a
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applications to sports and/or education contexts. The exact topic will be chosen in coordination between the successful candidate and supervisors Job description This PhD project is situated in the Strategy
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do boys underperform in education? What is the role of the gender culture in secondary school? Does students’ socioeconomic and migrant background play a role? Does the school context matter? If you
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aims at developing tools using large language models (LLMs) for the correction of misinformation about climate change in social media. The successful candidate will develop innovative tools leveraging
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are seeking a highly motivated PhD candidate to develop efficient on-device generative AI systems based on large language models (LLMs). The project focuses on creating compact, low-latency, and energy
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have a 10% teaching load and will be given the opportunity to work on your teaching portfolio for the University Teaching Qualification (UTQ). You will be embedded in the EPAN lab(link is external
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appointment is for four years and will lead to a dissertation. Approximately 10 % of your time will be spent as a teaching assistant. PhD candidates are expected to take several training courses, including
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5-year lifetime is equally interdisciplinary, with a wide variety of activities ranging from art/science programmes, large scale science festivals, citizen science and educational initiatives
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you eager to make AI more sustainable? As a PhD Candidate, you will develop innovative methods for predicting and reducing the energy consumption of large-scale AI systems during their design phase