PhD researcher in Computer Science – Effortful Learning with Generative AI (100 %)

To strengthen and further develop its research competencies in educational technologies in distance learning settings, the Center for Holistic Learning Experiences (CHLX) is looking for a: 

PhD researcher in Computer Science – Effortful Learning with Generative AI (100 %) 

Place of work: Brig, partial remote working possible (within Switzerland)
Start of work: Upon agreement
Contract duration: 1 year, with 2 years extension

Human learning is a complex process that involves diverse resources, processes, and varies for each individual. At the Center for Holistic Learning Experiences (CHLX), we tackle this complexity by designing, developing, and evaluating holistic and effective learning experiences. 

In this specific project, you will explore how friction can be used as a strong design concept to create effective learning experiences using Generative AI. Indeed, deep human learning typically happens in two steps: First, a moment of difficulty or friction, then a moment of resolution. In contrast, current Generative AI tools typically offer a friction-less experience, thus only supporting superficial human learning.

In this project, you will explore, implement, and evaluate AI-powered learning tools including different types of friction to support deep learning of mathematics while sustaining motivation and improving learners’ learning processes.

• Conduct a literature review of desirable difficulties in AI-assisted education
• Identify key research questions
• Design and implement technological prototypes using LLMs
• Design rigorous mixed-methods evaluation protocols to evaluate the impact of the developed tools on learning
• Use quantitative methods to analyze learning data
• Use qualitative methods to analyze learning data
• Write academic publications for top tier journals and conferences
• Present at academic conferences
• Assist the teaching of the Module “Computer Science for AI” in the Master in AI, including:
  • Pedagogical support for students
  • Exercise corrections
  • Support for the preparation of learning materials
  • Management of the Moodle and CoCalc platforms
  • Interaction with students on the forum
  • Management of synchronous learning sessions (5 Saturdays per semester)
  • Proctoring and correction of exams (2 Saturdays per semester)
  • Organization of weekly exercise sessions
     

• Master’s degree in computer science or educational technologies with demonstrated programming experience
• Programming experience with LLMs
• Experience in design thinking, participatory design or co-design methods is a plus
• Experience using R for data analysis is a plus
• Experience conducting analysis on chat interaction data is a plus
• Rigorous and ethical approach to work and research
• Willingness to collaborate and exchange in a diverse team
• Excellent command of English; good knowledge of French and/or German is an asset
• Living in Switzerland or planning to settle in Switzerland for the duration of the contract
   

• A stimulating work environment: an opportunity to grow in a dynamic and evolving academic environment on a new university campus
• Attractive employment conditions: UniDistance Suisse is a modern employer offering generous social benefits and an attractive continuing education policy
• A committed team: you will be part of a multidisciplinary team committed to innovation and the success of our projects
• A modern and pleasant setting: our modern campus is located a few minutes' walk from the charming old town of Brig and the CFF railway station, close to beautiful natural areas and renowned mountain regions, offering a unique and inspiring working environment
• Your doctoral thesis will be supervised by Prof. Dr Julia Chatain. Her supervisor statement is available here.
   

• Motivation letter describing why you want to do a PhD, why you want to do it in this team, and why you would be a could candidate for the position (2 pages maximum).
• Research statement describing how you would approach the problem and why you are interested in solving this problem (2 pages maximum).
• Resume (2 pages maximum).
• Note: You may use generative AI to assist your writing. Please note, however, that your application should reflect your own ideas and critical thinking abilities.