PhD: AI & Neuroscience for Human-Centric Urban Navigation

Technical University of Denmark; Greater London; Hybrid; GBP 27,000 - 34,000; Full time

Benefits offered by this job

International collaboration

Research stay at Imperial College (6mo

Job summary

Technical University of Denmark (DTU) Management invites applications for a 3-year PhD scholarship linked to the project Brains in Motion. The work will be conducted at DTU Management in collaboration with Imperial College London and the DTU Smart Sensing Lab, under supervision of Rico Krueger and Carlos L.

Azevedo, with Aldo Faisal involved as partner. You will contribute to models explaining how humans learn and adapt to navigate urban spaces, using AI and neuroscience, and conduct immersive

Qualifications

• Two-year master's degree or equivalent in a relevant field.
• Strong interest in human behaviour, urban mobility, AI and/or neuroscience.
• Demonstrated ability for independent research and data analysis.

Responsibilities

• Develop learning-based behavioural models of navigation and adaptation.
• Apply reinforcement learning and computational modelling to mobility.
• Model how people build internal representations of urban space.
• Integrate behavioural data with neurophysiological markers (eye movements, EEG).
• Design immersive VR experiments and naturalistic field studies.
• Translate model insights into tools for urban planning and transport design.

Skills

Urban mobility

Reinforcement learning

Computational neuroscience

Human behaviour

Data analysis

Education

Two-year master's degree

Quantitatively oriented discipline

Tools

EEG

Eye-tracking

Immersive VR

Wearables

Job description

Technical University of Denmark (DTU) Management invites applications for a 3-year PhD scholarship linked to the project Brains in Motion. The work will be conducted at DTU Management in collaboration with Imperial College London and the DTU Smart Sensing Lab, under supervision of Rico Krueger and Carlos L.

Azevedo, with Aldo Faisal involved as partner. You will contribute to models explaining how humans learn and adapt to navigate urban spaces, using AI and neuroscience, and conduct immersive