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AI PhD Researcher - Chemical Sensor Networks - Job Opportunity at Télécom SudParis

Évry, France
Full-time
Entry-level
Posted: March 15, 2025
Hybrid
EUR 30,000-35,000 per year (typical French PhD stipend range)

Benefits

Flexible remote work options
On-site restaurant and cafeteria
Public transportation subsidies
Campus sports association access
Staff association membership

Key Responsibilities

Develop AI algorithms for optimizing MOX sensor combinations in VOC detection
Research and implement contextual embedding approaches for sensor drift compensation
Analyze intrinsic dimensionality of MOX sensor networks
Publish research findings in academic conferences and journals
Contribute to the European AMUSENS project objectives
Collaborate with international research partners

Requirements

Education

Master's degree in Data Science, AI, Pattern Recognition, Signal Processing or equivalent

Required Skills

Deep learning methods Data processing and classification methods Signal processing Embedded electronics fundamentals MOX gas sensor knowledge (preferred) Python Matlab C Unix English proficiency French language (preferred) Teamwork abilities Analytical skills Cross-disciplinary research capabilities
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Sauge AI Market Intelligence

Industry Trends

The air quality monitoring sector is experiencing rapid growth, driven by increasing health awareness and regulatory requirements Integration of AI with IoT sensors is becoming a crucial differentiator in environmental monitoring systems There's a growing focus on indoor air quality monitoring solutions, particularly post-pandemic European research funding in environmental sensing technologies shows strong momentum with projects like AMUSENS

Role Significance

Part of a 10-partner European research consortium with likely direct collaboration with 3-5 team members locally
Entry-level research position with significant autonomy in algorithm development and project contribution

Key Projects

Development of novel AI algorithms for sensor optimization Implementation of contextual embedding systems for drift compensation Cross-institutional research collaboration within AMUSENS project

Success Factors

Strong foundation in both theoretical AI and practical implementation Ability to bridge multiple technical domains (AI, electronics, chemistry) Publication track record in high-impact journals Effective collaboration in international research environments

Market Demand

High demand for AI researchers specializing in sensor networks and environmental monitoring, with particularly strong growth in European markets

Important Skills

Critical Skills

Deep learning expertise for sensor optimization Signal processing for real-world sensor data Cross-disciplinary research capabilities

Beneficial Skills

Knowledge of chemical sensors and environmental monitoring Experience with embedded systems Project management skills

Unique Aspects

Integration with major European research initiative
Cross-disciplinary approach combining AI and environmental sensing
Direct involvement in developing next-generation air quality monitoring solutions

Career Growth

3-year PhD program with potential for postdoctoral research or direct industry transition

Potential Next Roles

Senior Research Scientist R&D Team Lead Academic Research Position Industry AI Architect

Company Overview

Télécom SudParis

Leading French graduate school specializing in telecommunications and digital technology research

Well-established academic institution with strong industry connections and research funding
Major player in the Paris-Saclay technology cluster
Academic research environment with strong emphasis on innovation and international collaboration
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