Department: Department of Electronics and Information and Communication Technologies
Regime: Full-time
The University of Antwerp is a dynamic, forward-thinking, European university. We offer an innovative academic education to more than 20000 students, conduct pioneering scientific research and play an important service-providing role in society. We are one of the largest, most international and most innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back boundaries and set a course for the future – a future that you can help to shape.
The Department of Electronics and Information and Communication Technologies in the Faculty of Applied Engineering is looking for a full-time (100%) doctoral scholarship holder in the field of renewable energy forecasting.
You will work actively on the preparation and defence of a PhD thesis focusing on machine learning-based forecasting of renewable energy production, with a particular focus on wind energy. The research will be conducted within the VLAIO ICON NEXT-WIND project, which aims to develop next-generation forecasting methods combining machine learning weather prediction models with renewable energy production. The project seeks to improve the reliability and economic value of wind energy through advanced forecasting and decision-support tools.
Your responsibilities will include:
Developing machine learning and deep learning models for renewable energy forecasting, particularly wind power generation.
Working with data-driven weather prediction models and high-resolution meteorological datasets.
Designing deterministic and probabilistic forecasting models for wind power production and ramp events.
Publishing scientific articles related to the research project and presenting results at international conferences and workshops.
Collaborating with academic and industrial partners involved in the NEXT-WIND consortium.
Carrying out a limited number of teaching and research support tasks (maximum 2 hours per week).
Supervising bachelor and master students.
You hold or will have obtained by the time you start work, a Master’s degree in Computer Science, Electrical Engineering, Artificial Intelligence, Applied Mathematics, Energy Engineering, or a related field.
You have achieved distinction / cum laude / honors / onderscheiding for your Master's degree.
Your research qualities are in line with the faculty and university research policies.
You act with attention to quality, integrity, creativity, and cooperation.
You have strong programming skills in Python and experience with machine learning and deep learning frameworks such as PyTorch or TensorFlow.
You can communicate fluently in English, both orally and in writing.
You are well-organized, capable of working independently, and motivated to conduct interdisciplinary research at the intersection of AI, weather modelling, and renewable energy systems.
We offer a doctoral scholarship for a period of one year, which can be renewed for three additional years following a positive evaluation.
The planned start date is 1 June 2026 or as soon as possible after that date.
Your monthly scholarship amount is calculated according to the scholarship amounts for doctoral scholarship holders on the pay scales for Contract Research Staff (Dutch: Bijzonder Academisch Personeel, BAP).
You will receive ecocheques, Internet-connectivity allowance, and a bicycle allowance or a full reimbursement of public transport costs for commuting.
As a doctoral researcher, you will have access to a wide and varied range of courses and an educational credit through the Antwerp Doctoral School.
You will do most of your work at Campus Groenenborger in a dynamic and stimulating working environment.
Find out more about working at the University of Antwerp here.
You can apply for this vacancy through the University of Antwerp’s online job application platform up to and including 20 April 2026(by midnight Brussels time). Click on the 'Apply' button and complete the online application form. Be sure to include the following attachments:
a motivation letter
your academic CV, including your diploma’s study results, details on the positioning of your grade (percentile or study group ranking), and proof of programming skills (e.g., a GitHub profile).
The selection committee reviews all applications as soon as possible after the application deadline. As soon as a decision is made, we will notify you. If you are still eligible after the pre-selection, you will be informed about the possible next step(s) in the selection procedure.
If you have any questions about the online application form, please check the frequently asked questions or send an email to jobs@uantwerpen.be. If you have any questions about the job itself, please contact Hossein Tabari (hossein.tabari@uantwerpen.be).
The University of Antwerp received the European Commission’s HR Excellence in Research Award for its HR policy. We are a sustainable, family-friendly organisation which invests in its employees’ growth. We encourage diversity and attach great importance to an inclusive working environment and equal opportunities, regardless of gender identity, disability, race, ethnicity, religion or belief, sexual orientation or age. We encourage people from diverse backgrounds and with diverse characteristics to apply.