Senior Research Officer
Develop advanced machine learning models for objective pain measurement using clinical EEG data.
Best for:Best for researchers with a PhD in computer science or neuroscience and expertise in EEG signal processing and deep learning.
Overview
The School of Computer Science and Electronic Engineering at the University of Essex is seeking a Senior Research Officer to join the interdisciplinary PaiNeuro project. This role focuses on developing and evaluating machine learning methods to distinguish pain-related states from pain-free states in clinical EEG recordings. Working under the direction of Dr. Sebastian Halder, the successful candidate will collaborate with clinical partners at Vestre Viken Hospital Trust in Norway. The position involves creating reproducible workflows, implementing deep learning architectures, and investigating cross-participant generalization. Applicants should have a strong background in computational analysis and biosignal processing.
What you'll do
- Develop and maintain reproducible EEG preprocessing, artifact-handling, and feature-extraction pipelines.
- Implement and evaluate deep learning architectures for EEG-based pain prediction.
- Develop Riemannian geometry-based methods for EEG covariance representation.
- Investigate cross-participant generalization using transfer learning and domain alignment techniques.
- Validate computational models using rigorous held-out participant data and appropriate metrics.
- Contribute to scientific publications, open-source software development, and data documentation.
- Collaborate with clinical partners in Norway and participate in interdisciplinary project meetings.
Requirements
Degree required: PhD in computer science, electronic engineering, biomedical engineering, neuroscience, machine learning, or a closely related discipline.
Language: English; strong spoken and written proficiency.
Instruction: English
- Strong Python programming proficiency with scientific computing and machine learning libraries.
- Experience applying deep learning to EEG or high-dimensional biosignals.
- Sound understanding of robust model evaluation and participant-level cross-validation.
- Ability to work independently and contribute to a multidisciplinary team.
- Strong academic writing and verbal communication skills.
Funding & terms
How to apply
Deadline: 2026-11-03
Interested candidates should apply via the university's online recruitment portal. Please ensure you review the full job description and person specification provided on the application page before submitting your materials.
- CV
- Cover letter
Contact
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