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Postdoctoral Researcher in Unsupervised Machine Learning for Wireless Communications
il y a 1 mois
Research Opportunity
We are seeking a highly motivated postdoctoral researcher to contribute to the development of advanced machine learning approaches for wireless communications systems. The successful candidate will work on the technique of channel charting and devise innovative theoretical approaches for distributed, real-time dimensionality reduction applied to multi-sensor systems.
Key Responsibilities
- Develop and prototype machine learning approaches for real-time signal processing in wireless communications systems
- Conduct simulations and/or lab experiments to evaluate the performance of the proposed approaches
- Write technical reports and articles for major conferences and journals in the field of wireless communications and machine learning
- Present research results in scientific conferences and events
Requirements
- PhD degree in a relevant field such as computer science, informatics, electronics, mathematics, or statistics
- Strong background in machine learning, digital communications, statistical signal processing, and/or information theory
- Familiarity with ScikitLearn, TensorFlow, or Keras
- Fluent spoken and written technical English
Benefits
- Subsidized meals
- Partial reimbursement of public transport costs
- Leave: 7 weeks of annual leave + 10 extra days off due to RTT + possibility of exceptional leave
- Possibility of teleworking (90 days/year) and flexible organization of working hours
- Professional equipment available
- Access to vocational training
- Social security coverage under conditions
Salary
2788€ gross salary/month
