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Student work: We are looking for Interns (part-time) for Machine learning-based load forecasting of large-scale commercial buildings.

Place of work: Budapest, XI. district (BME, Building Z)

Working hours: min. 24 hours/week

Start: as soon as possible

Salary:  2 000-2118 HUF/hour

Your Responsibilities:

  • Processing the energy demand and the connected influencing parameters such as outdoor temperature, occupancy behaviour
  • Studying relevant literature
  • Testing various ML and DL based forecasting algorithms
  • Based on a comparative study, concluding on the best performing method. Implementing performance-boosting additions

Your profile:

  • You have an active full-time student status in Hungary (under 25 years, you can be passive student)
  • Preferably MSc student with ongoing studies in the field of energy engineering/computer science/economics
  • Fluent in English
  • Outstandingly strong analytical skills
  • Start-up mindset and team spirit
  • Basic programming skills in one of the following languages: Python/R/Julia
  • Familiarity/or willingness to get familiar with ML/DL algorithms for time series analysis
  • Understanding of large building’s HVAC systems is a plus

You can apply by e-mail (melo@miszisz.hu), by entering your name, telephone number, e-mail address, indicating the position you want to fill and attaching your CV. 

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