The INSA Strasbourg is seeking two full-time Postdoctoral Research Assistants in Deep Learning for predictive maintenance.
The job aim to investigates fault diagnosis and prognosis in machine centers based on deep machine learning approaches to formulate a systematic approach and obtain knowledge for predictive maintenance in Industry 4.0 era. The conception of the approach must ensure that the proposed approach should be robust enough to handle noisy data, missing data to cite a few.
The job requires a strong machine learning and mathematical background. A previous experience on deep learning RNN algorithms are highly recommended. Having a PhD contribution in Deep learning/Machine learning on time series is highly appreciated.
Applicants interested in this project can send a detailed CV (curriculum vitae), a motivation letter to Dr. Ahmed Samet (firstname.lastname@example.org). Applications will be accepted until the job is filled.