Senior Research Scientist, EEG Pain Prediction & ML

University of Essex; Colchester; On-site; GBP 34,000 - 42,000; Full time

Job summary

University of Essex seeks a highly motivated PhD student or early postdoctoral researcher to advance computational analysis for pain assessment using EEG signals. The role focuses on developing and evaluating machine-learning methods to distinguish pain-related vs pain-free states in clinical EEG, with emphasis on generalisation to new participants.

You will implement reproducible preprocessing pipelines, apply deep learning architectures for time-series data, and collaborate with a

Qualifications

• PhD near completion in a related field.
• Strong Python and ML background with EEG/biosignals experience.
• Robust model evaluation including cross-validation and independent testing.
• Ability to work independently within a multidisciplinary team.
• Strong written and spoken communication skills.

Responsibilities

• Develop and maintain EEG preprocessing, artefact handling and feature extraction workflows.
• Implement and compare deep learning approaches for EEG-based pain prediction.
• Develop Riemannian geometry-based methods for covariance-based classification.
• Explore cross-participant generalisation, transfer learning and domain adaptation.
• Validate models on held-out data and report performance metrics.
• Contribute to publications, open-source software and data documentation.
• Collaborate with clinical partners in Norway and project meetings.

Skills

Python programming

Machine learning

EEG data processing

Cross-validation

Academic writing

Education

PhD in CS/EE/biomedical engineering or related field

Tools

MNE-Python

PyTorch

Braindecode

pyRiemann

Job description

University of Essex seeks a highly motivated PhD student or early postdoctoral researcher to advance computational analysis for pain assessment using EEG signals. The role focuses on developing and evaluating machine-learning methods to distinguish pain-related vs pain-free states in clinical EEG, with emphasis on generalisation to new participants.

You will implement reproducible preprocessing pipelines, apply deep learning architectures for time-series data, and collaborate with a