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Job Title: Industrial PhD Candidate
We are looking for a M.Sc. in Computer Science, Informatics, Statistics or similar interested in obtain an Industrial PhD title by Universitat Politècnica de Catalunya (UPC).
The PhD candidate will be part of both the R&D team in SmartIve, a company allocated in Terrassa (Barcelona, Spain) dedicated to exploit SCADA data from windfarms, and part of the MCIA research group from UPC (Terrassa).
The Smartive R&D team is formed by PhDs, Developers, Grand students and other PhD candidates. We are around ten people working in improving efficiency in windfarms using SCADA data. Two university research groups are part of the R&D area as well. One from UPC (Terrassa) and other from UVIC (Vic). The first one is MCIA, the university research group that will co-lead the PhD studies of the candidate.
The main subject of research will be the use of advanced analytic (stats, machine learning, signal processing, etc.) in order to build normality models, estimate health, predict possible failures in wind turbines and get actionable information from data useful for Operation & Maintenance (O&M) tasks.
Skills to improve O&M using SCADA data
You are passionate for data exploitation, data science, etc. applied in real-life problems. Therefore, the ideal candidate will have the following skills:  
  • Ms. Scientist in Computer Science, Informatics, Statistics or similar. It is mandatory to hold an official Master Degree, otherwise he/she could not be a Ph.D. Candidate.
  • Programming languages: R (main language we use in the R&D area), Python, Java, JavaScript
  • SQL: The ability to write complex SQL queries to analyze our databases. Just one wind turbine can have hundreds of variables (columns) and near to one million of records (rows).
  • Experience in Hadoop/Spark will be welcome. We are planning to migrate to these technologies in a middle term.
  • Technical knowledge on: Stats, Signal Processing (Time, Frequency, Time-Frequency, Filtering…), Statistical Classifier Algorithms (Bayesian Tree, Random Forest…), AI Algorithms (Neural Networks, Support Vector Machines, ANFIS, Fuzzy Inductive Reasoning…) and Deep learning. The candidate will work in those subjects. No all subjects are mandatory.
  • A good English level (upper intermediate at least) is important for writing papers for conferences and journals.
We are looking for a highly motivated professional, interested in a growing company and working as a Ph.D. Candidate.
Personal Attributes
  • Pragmatic – we look for solutions rather than worry about problems.
  • Humble
  • Objective and Team oriented worker.
Want to join our team?
If you are interested, please contact us!  Applications can be in English, Catalan or Spanish.
Juan José Cárdenas (CRO):
David Amorós (CTO):
Job Ref: R&D-02-2016
Hours: Full Time
Location: Barcelona (Region)
Working Term: Permanent
Application Deadline: 31/03/2017
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