The Department of Mechanical and Industrial Engineering has a vacancy for a PhD candidate in machine learning and data mining for lubricant formulation. They are looking for candidates with a background in one or ideally more of these areas: machine learning, computational science, statistics, data mining, statistical physics, theoretical chemistry, statistical modeling, applied mathematics.
The goal of this project is to develop new tools and methods for formulating new lubricants with potentially environmentally acceptable properties. There will be interaction with experimental researchers in the same project, who are collecting data, and with collaborators in Germany who work in the field of data mining and machine learning.
The Materials Group deals with applications of materials science: engineering materials and surfaces with desirable properties for specific applications. The group consists of an interdisciplinary mixture of engineers, physicists, and chemists. We have many industrial and international academic collaborations and aim to provide a stimulating environment for young scientists.
Opportunity Focus Areas:
More than year
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