PhD in Machine Learning-Based Renewable Energy Forecasting

Updated: 2 months ago
Job Type: FullTime
Deadline: 18 Dec 2022

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29/11/2022
PhD in Machine Learning-Based Renewable Energy Forecasting
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PhD in Machine Learning-Based Renewable Energy Forecasting
Application Deadline: 18/12/2022 17:00 - Europe/Brussels
Contact Details

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Company
University of Antwerp

  • WEBSITE
    https://jobs.idlab.uantwerpen.be/o/phd-in-machine-learningbased-renewable-ene...

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  • ORGANISATION/COMPANY
    University of Antwerp

  • ORGANISATION TYPE
    Higher Education Institute

  • WEBSITE
    https://jobs.idlab.uantwerpen.be/

  • E-MAIL
    hossein.tabari@uantwerpen.be

  • COUNTRY
    Belgium

  • CITY
    Antwerpen

  • POSTAL CODE
    2000

  • STREET
    Sint-Pietersvliet 7

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  • ORGANISATION/COMPANY
    University of Antwerp

  • RESEARCH FIELD
    EngineeringComputer engineering
    EngineeringElectrical engineering
    Environmental scienceGlobal change
    MathematicsStatistics
    Physics

  • RESEARCHER PROFILE
    First Stage Researcher (R1)

  • APPLICATION DEADLINE
    18/12/2022 17:00 - Europe/Brussels


  • LOCATION
    Belgium › Antwerp

  • TYPE OF CONTRACT
    Temporary

  • JOB STATUS
    Full-time

  • HOURS PER WEEK
    40

OFFER DESCRIPTION

For further development of the IDLab AI Applications team in the machine learning cluster, we are looking for a PhD candidate in applied artificial intelligence for the renewable energy sector, with a focus on improving prediction models.

  • In the context of smart renewable energy predictions, you will develop efficient machine learning techniques for wind energy production, photovoltaic energy (PV) production, and electricity consumption.
  • You will research methodologies for the post-processing of weather model data developed at RMI.
  • You prepare a PhD dissertation on developing innovative physics-based ML models to improve the predictions of intermittent renewable energy sources.
  • You publish and present results both at international conferences and in scientific journals.
  • You contribute to national and international research projects in collaboration with federal scientific institutes and key players in the energy industry.
  • You interface and collaborate on a technical level with research partners, and will deploy your models in the energy industry in support of the transition towards clean energy.


More Information
Additional Information
Web site for additional job details

https://jobs.idlab.uantwerpen.be/o/phd-in-machine-learningbased-renewable-ene...


Requirements
Offer Requirements
Skills/Qualifications

  • You have (or will receive within a few months) a Master of Science degree, preferably in Computer Science, Engineering, Mathematics, Physics, or related fields.
  • You have a grade of at least distinction/cum laude/honors/onderscheiding on your master's degree.
  • You are fluent in python, machine learning, and deep-learning tools (TensorFlow / PyTorch etc).
  • Expertise in data science and statistics (e.g., big data analysis, extreme value analysis) is an advantage.
  • Having prior expertise in renewable energy (solar and wind energy) is an advantage.
  • A background in climatology and meteorology is desirable, but not mandatory.
  • Having published in high-ranking conferences and journals in the field is an advantage.
  • You know how to prioritize and can deliver in time.
  • You are well-organized and able to autonomously plan and execute tasks.
  • You are a team player and have strong communication skills. Close collaboration with researchers at RMI and IDLab is expected.
  • Your English is fluent, both speaking and writing; language proficiency in Dutch is a plus.


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Work location(s)
1 position(s) available at
University of Antwerp
Belgium
Antwerp
2000

EURAXESS offer ID: 871744


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