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PhD Research Position - Propagation of Uncertainties in EEG/BCI Classification - Job Opportunity at Université Côte d'Azur

Sophia Antipolis, France
Full-time
Entry-level
Posted: April 14, 2025
On-site
EUR 30,000-35,000 per year (standard French doctoral contract)

Benefits

Doctoral contract funding
Academic research environment
Access to advanced EEG/BCI equipment
Collaboration opportunities with leading researchers

Key Responsibilities

Develop novel methods for uncertainty estimation in EEG measurements
Design algorithms for uncertainty propagation in BCI classification
Conduct research on Riemannian metrics for EEG signal processing
Publish findings in academic journals and conferences
Collaborate with interdisciplinary research teams

Requirements

Education

Master's degree or equivalent in Computer Science, Mathematics, or related field

Required Skills

Strong mathematics background Signal processing knowledge Programming skills Knowledge of EEG signals (preferred) Research methodology
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Sauge AI Market Intelligence

Industry Trends

The BCI market is experiencing rapid growth with a projected CAGR of over 15% through 2030, driven by medical applications and emerging consumer technologies Increasing focus on uncertainty quantification in AI/ML applications, particularly in healthcare and biomedical domains Rising demand for robust and reliable BCI systems in clinical applications and assistive technologies

Role Significance

Likely part of a specialized research group of 5-10 researchers including PI and other doctoral/postdoctoral researchers
Doctoral researcher position with potential to establish new methodologies in BCI classification

Key Projects

Development of novel uncertainty propagation methods for EEG signal processing Enhancement of BCI classification reliability through uncertainty incorporation Advancement of Riemannian geometry applications in neurotechnology

Success Factors

Strong mathematical foundation particularly in statistical analysis and Riemannian geometry Ability to bridge theoretical concepts with practical applications in BCI systems Publication track record in peer-reviewed journals Effective collaboration with interdisciplinary teams

Market Demand

High demand for specialists in BCI and uncertainty quantification, particularly in research institutions and emerging neurotech companies

Important Skills

Critical Skills

Advanced mathematics skills for developing uncertainty propagation methods Signal processing expertise for EEG data analysis Programming capabilities for implementing and testing algorithms

Beneficial Skills

Knowledge of neuroscience basics Experience with BCI systems Scientific writing and presentation skills

Unique Aspects

Focus on uncertainty propagation represents a novel approach in BCI research
Integration of Riemannian geometry with practical BCI applications
Position at intersection of mathematics, signal processing, and neurotechnology

Career Growth

3-year doctoral program with potential for postdoctoral extension

Potential Next Roles

Postdoctoral Researcher Research Scientist in Industry R&D Engineer in Neurotechnology Companies Academic Faculty Position

Company Overview

Université Côte d'Azur

Leading French research university with strong emphasis on innovation and international collaboration

Prominent position in European academic research, particularly in computer science and signal processing
Major research hub in the Sophia Antipolis technology park, France's leading technology cluster
Academic environment fostering innovation, collaboration, and research excellence
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