IBM Research GmbH
Post-Doc researcher: Deep Learning for Predictive Analytics
About the position
We are seeking an outstanding post-doctoral researcher for research in state-of-the-art predictive analytics applied to IT as well as industrial components and systems. Applying and expanding state of the art machine learning methods including deep learning and model fusion, our research aims at identifying degradation indicators from rich historical event logs and telemetry data, and using those to accurately predict future failures and performance degradation events in the field.
This position is available from approximately September 2017 for a duration of 18 months. The successful candidate will enjoy an internationally competitive salary and work in a collaborative and creative group in an exclusive research environment.
The candidate will have the primary responsibility to advance new analytical models for predicting the reliability of IT components and/or wind turbine components, that will be applied in the wild. In addition, the candidate is expected to handle the data selection, cleaning and integration tasks prior to the modeling stage.
Requirements
•The ideal candidate is expected to hold a PhD in Computer Science, preferred Machine Learning or Statistics
•A strong background in machine learning with a specialization in time and event series analysis, deep learning and potentially survival models
•Knowledge of reliability of IT components from a systems perspective is a strong plus
•An excellent publication track record at top conferences and journals
•Excellent coding skills in R, python, and potentially Scala
•Familiarity with big data processing frameworks (e.g., Spark stack) would be highly beneficial
•Familiarity with deep learning frameworks (e.g., TensorFlow) would be highly beneficial
•The candidate must be self-driven, highly motivated and is required to multitask efficiently
The Post-Doc position has a duration of 18 months.
Diversity
IBM is committed to diversity at the workplace. With us you will find an open, multicultural environment. Excellent flexible working arrangements enable both women and men to strike the desired balance between their professional development and their personal lives.
How to apply
If the above position fits your background, please send your complete CV, including a list of publications and skills, as well as contact information for three references to:
Mirjam Strebel, Human Resources
e-mail:
[email protected]For technical information please contact Dr. Dorothea Wiesmann (
[email protected])
