Industrial Engineering and Management
[Open soon]
Work description
Study different approaches to yield modelling; Implement different models; Evaluate the results and refine the models.
Academic Qualifications
Masters in industrial engineering and management.
Minimum profile required
Final master's degree average equal to or higher than 16 points.Programming in Python.Experience in research projects in the field of anomaly detection.Good knowledge of Data Science and Deep Learning.
Preference factors
Good command of English. Experience in research. Experience in science communication. Good knowledge of Python programming.
Application Period
Since 01 Jul 2025 to 15 Jul 2025
[Open soon]
Centre
Industrial Engineering and Management