Position
PhD-student
Irène Curie Fellowship
No
Department(s)
Industrial Design
FTE
1,0
Date off
01/12/2024
Reference number
V51.7840
Job descriptionDo you want to understand and design how cutting-edge AI technologies are used in educational settings? Do you have an affinity for getting hands-on with your research topics, from field research to participatory methods to co- creating prototypes? Apply for this position for the opportunity to conduct design-led research on a major societal concern within an EU wide doctoral training network with university and industry secondments.
We are seeking a highly motivated doctoral candidate to join our research team as part of a prestigious Marie Skłodowska-Curie Actions (MSCA) doctoral network: AlignAI. The AlignAI doctoral network aims to train doctoral candidates to develop, evaluate, and engage with Large Language Models (LLMs). It focuses on aligning these models with human values to ensure their development and deployment are ethically sound and socially beneficial. By integrating expertise from social sciences, humanities, and technical disciplines, the project will address critical issues such as explainability and fairness, thereby ensuring LLMs contribute positively to education, mental health, and news consumption.
In this position, the doctoral candidate will evaluate, design for, and forecast scenarios in which generative AI (gAI) technologies are or could be used in design-based education. This will be informed by the network-wide goal of value-alignment, and an in-depth understanding of the design and education opportunities and constraints these technologies hold. Potential results are a (1) competency framework (e.g., theoretical knowledge, skills, attitude) that design-based gAI education can or indeed should promote, and (2) a portfolio of gAI education futures that feature novel methods and tools for developing and designing gAI based on doctoral research.
The doctoral candidate will need to apply methods from design-led and qualitative research to philosophy of technology, philosophy of education, and/or related disciplines. They will also need to learn about contemporary LLM applications not only in education, but also how their effects across mental health concerns and online news consumption shapes education needs. Thus, the ideal candidate will have an interdisciplinary background that spans several of the aforementioned disciplines, and that demonstrates a clear interest in AI technology and its societal impact. At the same time, the candidate will have the necessary language, communication, and analytic skills to produce research of publishable quality.
The doctoral candidate will be supervised by Prof. Stephan Wensveen and embedded within the cluster Designing with Intelligence, Department of Industrial Design, Eindhoven University of Technology (TU/e). Additional supervision will be provided within the AlignAI doctoral network by Jürgen Neises (Fujitsu) and Prof. Anna Keune (TU München). The candidate will be expected to contribute actively and positively to the design and AI research communities in Eindhoven, as well as to attend workshops, summer schools, and research visits at AlignAI partner institutions.
This position is one of four PhD positions being offered at TU/e through the AlignAI doctoral network, the others being in Human Technology Interaction (Martijn Willemsen) and Philosophy & Ethics group (Carlos Zednik).
Job requirementsEligibility criteria
Selection Procedure
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
About us
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands- on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Information
Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager, prof.dr.ir. Stephan Wensveen at [email protected].
Visit our website for more information about the application process or the conditions of employment. You can also contact HR Services ID, [email protected].
Are you inspired and would like to know more about working at TU/e? Please visit our career page.
Application
We invite you to submit a complete application by using the apply button. The application should include a:
We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.