• Programming Python / Matlab
• Version control
• Signal processing and data science
• Mechanical engineering on Rotating machinery
• Mechanics of materials / vibrations of structures
• Paper science and engineering

• Develop and apply novel signal processing methods for extracting repeating patterns caused by individual rolls, pumps, felts and other rotating components from measured machine direction quality (MD) variation.
• Create useful and convenient metrics for online condition monitoring of single machine elements to quantify their individual significance to the quality of the end product in the process. Using these metrics, the longer term development of the patterns due to wear of the machine elements will be studied.
• Conduct an experiment where the measured quality variation connected to a roll is used to grind a compensative geometry on the roll to eliminate or reduce the quality variation, as rolls and machine elements are known to deform due to mechanical and thermal loads in the production process. Simultaneously, the experiment is used to assess how well the extracted roll patterns correspond to measured geometry errors in the corresponding rolls.
• The research will be conducted in close cooperation with consortium members from the paper, cardboard and steel industries, many of whom can directly exploit the results of the research. The new methods can be applied to improve product quality, increase uptime and to ease maintenance and condition monitoring. Additionally, novel implementations of the developed signal processing methods will become openly available for end users as well as the scientific community.

• Master's or Bachelor's degree in mechanical engineering, materials science, computer science, statistics or other relevant field
• Excellent written and oral skills in English
• Fluency of the Finnish language is considered a benefit
• Applicants must be able to work full-time and as soon as possible when applying to the doctoral programme. Applicants must be able to meet the official eligibility and admission requirements for the Doctoral Programme in Technology at Aalto University during a trial period of 6 months, as defined at
  https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-engineering

• Motivation letter with the applicant’s contact information and an indication of the preferred starting date (max. 1 page)
• CV including details of all academic merits (including publications, if applicable), and contact information of two persons who may be contacted to provide a character reference (max. 3 pages)
• Copy of applicant’s most recent thesis (Bachelor’s or Masters’s thesis)
• Copy of the applicant’s most recent degree certificate (Bachelor’s or Master’s) and a transcript of studies (with a clear explanation of the grading scale)