Post-Doc Position in Evolving IoT Data Streams: Cergy Paris University and ENSEA are inviting applications for a Post-Doctoral researcher to join their DATA&AI team at the ETIS laboratory. This position focuses on developing explainable methods for AI models in evolving IoT data streams, particularly in the context of predictive maintenance for industrial applications. The successful candidate will engage in high-quality research and contribute to cutting-edge projects with significant real-world impact.
Post-Doc Position in Explainable Artificial Intelligence over Evolving IoT Data Streams
Designation:
Post-Doctoral Researcher
| Research Area | Details |
|---|---|
| Category | Research |
| Duration | 18 months |
| Start Date | Before October 2025 |
| Institution | Cergy Paris University and ENSEA |
| Research Laboratory | ETIS Lab, DATA&AI team |
| Location | Cergy-Pontoise, France |
Eligibility/Qualification:
- PhD in Machine Learning, AI, Data Science, Statistics, or a related field.
- Strong background in at least one of the following: deep learning, continual learning, time series analysis, or predictive maintenance.
- Experience with explainable AI (XAI) methods.
- Proficiency in Python and relevant ML frameworks (PyTorch, TensorFlow, Scikit-learn).
- Excellent publication record in Data management, Artificial Intelligence, Machine Learning, or IoT applications.
Job Description:
The Post-Doctoral researcher will:
- Conduct high-quality research in Explainable AI in non-stationary settings.
- Develop novel algorithms and methodologies for Predictive Maintenance using IoT streams.
- Publish findings in top-tier conferences and journals.
- Collaborate with an interdisciplinary team of researchers and industry partners.
- Participate in project meetings and contribute to the project’s management.
How to Apply:
Interested candidates should send a single PDF containing the following documents to aikaterini.tzompanaki@cyu.fr and Vassilis.Christophides@ensea.fr with the subject line “Post-Doc Position in Explainable AIoT”:
- CV
- Motivation letter
- Publication list
- At least one relevant publication
- Two contacts for recommendations
Last Date to Apply:
Please submit applications as soon as possible, as the position will remain open until filled.
