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Master's Thesis Topics 2022 at CWI DIS

Publication date: 2022-04-08

The Distributed & Interactive Systems group at CWI has new open positions for motivated students who would like to work on their Master’s thesis as an internship in the group. Topics include human computer interaction, artificial intelligence, cognitive (neuro-)science and/or interaction design. Keep reading for more information about research topics, requirements and contact information.



  • Master’s students in Human Computer Interaction, Artificial Intelligence, Cognitive (Neuro-)science and/or Interaction Design across any Dutch university/institute are welcome to apply
  • You will be doing a scientific internship with us here in Amsterdam as part of your master’s thesis project
  • We strongly encourage publishing at top-tier conference venues (e.g. CHI, UbiComp, …), and will mentor you as such
  • If the topics below interest you, get in touch by email, and will share more detailed information
  • You are welcome to propose your own topic, so long as it’s within the broad areas of Human Computer Interaction, Affective Computing, eXtended Reality (AR/VR/MR) or Artificial Intelligence

Area: Ubiquitous Computing; Human Computer Interaction; Machine Learning


  1. Biosignals in wearable / extended reality (XR) environments
  2. Classifying human breathing in virtual reality
  3. Inter-personal synchrony in virtual reality
  4. Multimodal mood smartphone input


  • Required: biosensors (ECG, EDA, RSP, …), camera sensing, image and signal processing; quantitative analysis, HCI research methods
  • Topic-specific: Unity/C# (if focus is on VR settings); machine learning and deep learning (if ML focused project); computer vision; mobile development (e.g. Android)

Area: Artificial Intelligence; Machine Learning


  1. Generative models for physiological signals
  2. Self-supervised learning for physiological signals


  • Required: Machine learning, generative models (e.g. GAN, VAE, Attention), deep learning networks (e.g. CNN, LSTM, DBN), classical machine learning models (e.g. SVM, KNN, Bayesian networks), Python
  • Topic-specific: Physiological signal processing (ECG, GSR, EEG, RSP, etc.), self-supervised representation learning, basic knowledge about computational study of human emotion

Area: Design Engineering; Human-Computer Interaction


  1. Affective, multimodal journalism
  2. Emotion self-reports across the senses
  3. Wearable affective thermal displays
  4. Multimodal breathing displays
  5. Cross-reality emotion displays


  • Required: Electronics & hardware prototyping (e.g., Arduino), controlled user studies, statistics
  • Topic-specific: Unity/C# (if focus is on VR settings), GUI development (mobile or desktop), qualitative analysis

Area: Interaction Design; Human-Computer Interaction


  1. Designing biofeedback experiences
  2. Biosignal acceptability
  3. Emotion self-report techniques in virtual reality
  4. Emotion and social presence in virtual reality


  • Required: information visualization (sketching + prototyping); HCI / design research methods
  • Topic-specific: C#/Unity (if focus is on VR environments), C/C++/Arduino (if focus is on tangible prototypes), biosensors (ECG, EDA, RSP, …); quantitative + qualitative analysis