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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
Where to send your application.
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
[email protected]
COUNTRY
Belgium
CITY
Antwerpen
POSTAL CODE
2000
STREET
Sint-Pietersvliet 7
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ORGANISATION/COMPANY
University of Antwerp
RESEARCH FIELD
Engineering › Computer engineering
Engineering › Electrical engineering
Environmental science › Global change
Mathematics › Statistics
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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1 position(s) available at
University of Antwerp
Belgium
Antwerp
2000
EURAXESS offer ID: 871744
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