PhD Fellow: Machine Learning for Cognitive Neuroscience

The Faculty of Mathematics and Natural Sciences; Oslo; On-site; NOK 551,000 - 595,000; Full time

Job summary

The Faculty of Mathematics and Natural Sciences at the University of Oslo invites applications for a PhD Research Fellow in Machine Learning and Applied Cognitive Neuroscience within the Department of Informatics. The fellowship is initially three years, with potential extension for teaching and supervision duties, and must start by 31 December 2026.

This cross-disciplinary project bridges the Digital Signal Processing and Image Analysis group with Cognitive Neurophysiology, involving

Qualifications

• Master's degree or equivalent in relevant field; equivalence to Norwegian Master’s required for some applicants.
• Proven proficiency in scientific programming (e.g., Python).
• Proven background in ML, mathematics, linear algebra, and statistics.
• Fluent oral and written English.

Responsibilities

• Develop ML models and frameworks for time series analysis to understand brain encoding.
• Bridge experimental neurophysiology with advanced algorithmic design.
• Work with rodent datasets and human neural data from imaging and movies.
• Apply transformer architectures to local field potential data and related time series.

Skills

Python

PyTorch

Machine learning

Linear algebra

Statistics

English proficiency

Education

Master's degree or equivalent in CS, physics, applied mathematics, electrical engineering, cybernetics, data science, computational science, neuroscience or related fields

Tools

PyTorch

Job description

The Faculty of Mathematics and Natural Sciences at the University of Oslo invites applications for a PhD Research Fellow in Machine Learning and Applied Cognitive Neuroscience within the Department of Informatics. The fellowship is initially three years, with potential extension for teaching and supervision duties, and must start by 31 December 2026.

This cross-disciplinary project bridges the Digital Signal Processing and Image Analysis group with Cognitive Neurophysiology, involving