Ongeveer 4 uur geleden - Universiteit Utrecht (UU) - Utrecht
Utrecht University's Faculty of Social and Behavioural Sciences is looking for an Assistant Professor Methodology and Statistics. Are you interested? Then plea…
1 Postdoc (3 years) position in the area of data mining and machine learning for modern industrial systems, conducted in close collaboration with industry.
Modern industrial systems generate ever-increasing amounts of data across the entire value chain, such as event logs, sensor measurements, service logs, customer reviews, etc. Mining this data offers the opportunity to gain valuable insights about individual stages of the value chain as well as complex relationships between the different stages. For example, an interesting challenge is to explore how data mining techniques can be used for finding links between the end-user behavior and a manufacturing process, in order to improve process quality control for failing products and to identify and validate new features.
The research performed by the candidates will address practical challenges of mining and processing industrial data, such as (i) distributed processing techniques which can support data mining in settings with bandwidth and/or real-time constraints, e.g. when the prediction of device failures is distributed between devices and a cloud, (ii) privacy aware mining of customer behavior data, e.g. when monitoring the daily usage patterns of a smart electric shaver, (iii) coping with missing data, e.g. due to misconfigured or broken sensors, (iv) methods for exploring data mining across the value chain in case raw data is not available.
The results will be demonstrated within the European project Productive 4.0, where the goal of TU/e is to develop techniques for analyzing the data pertaining to the production and usage of consumer electronics products (e.g. electric shavers) by one of our industrial partners (Philips). Depending on their interests and their focus the candidates will be assigned to one two groups: the Data Mining group or the System Architecture and Networking group.
We are looking for candidates that meet the following requirements:
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