Pieter Van Gorp
1 year ago
Developing a framework for personalized and adaptive recommendations in digital interventions Eindhoven University of Technology (TU/e) in Netherlands
Degree Level
PhD
Field of study
Data Science
Funding
Fully-funded PhD project
Deadline
Expired
Country
Netherlands
University
University Name
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Where to contact
Official Email
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Keywords
Data Science
Artificial Intelligence
Open Science
Industrial Engineering
Human-computer Interaction
Digital Health
Digital Platform
Bioinformatics
Digital Twins
Vacancy
Innovation Sciences
Ai Technology
Large Models
Digital Interventions
Human
Information Systems
About this position
?? hashtag#PhD hashtag#Vacancy hashtag#Alert ?? As announced on https://lnkd.in/g8CTYct3, we have opened Today a vacancy for a fully-funded PhD project in Information Systems. The position will be filled as soon as a suitable candidate has been identified, so please don't wait until the submission deadline!The aim of the European project HealthyW8 is to develop and test digital interventions specifically tailored to different populations at vulnerable stages and situations in life. As one of two TUE PhDs in HealthyW8, you will contribute to advancing digital platform design knowledge by integrating AI technology in an ethical manner. Your PhD project will specifically focus on developing a framework to deliver personalized and adaptive recommendations to participants, with the aim of improving their adherence to the intervention. Based on the literature and other ongoing research initiatives, there is great potential to further shape the notion of human digital twins for behavior change. For that, you will prototype and evaluate novel extensions to the architecture and recommendation components of an existing platform (www.gamebus.eu).You will be supervised at the department of Industrial Engineering for leading the information systems research, while a second TUE PhD (Suzan Evers) is supervised primarily by Astrid Kemperman at the Urban Systems and Real Estate (USRE) unit of the department of the built environment, leading the experiment planning and organization tasks.As a TUE PhD, you will receive the autonomy and responsibility to propose and refine the specific research contributions and information systems artifacts that will together lead to your PhD dissertation. For that, you will be stimulated to consider also emerging AI technologies, such as human digital twins, large language models, especially when aiming to personalize digital technology at scale, while respecting privacy and accountability challenges that are pressing when working with various stakeholders and populations, including children and young adolescents. In the spirit of Open Science, you will be stimulated to go beyond the state-of-the-art of data sharing for reproducibility. Join us to further the results of projects such as VITALISE H2020 Project and others, as listed on https://lnkd.in/gWrSDp3P, with daily supervision by laura genga and Baris Ozkan from our beloved Information Systems TU/e at the department of Industrial Engineering & Innovation Sciences at TU/e!…more
Funding details
Fully-funded PhD project
How to apply
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