The challenge
The EU aims to reduce 55% greenhouse gas emissions by 2030 and to become climate-neutral by 2050. This requires the large-scale electrification of its energy system coupled with the integration of renewable energy generation. The transition towards fully renewable energy-based power systems will introduce more challenges and uncertainties such as grid bottlenecks and congestion, which raises the urgent need for new control strategies in order to maintain the ability of the system to provide the consumers with reliable supply of electricity while optimizing the use of the network in order to integrate more renewable energy resources.
This research focuses on developing solutions to facilitate energy transition within the concept of smart grids considering different dynamics and behaviour of system components. During the project, the PhD candidate will perform research on developing a mathematical model of the control strategy addressing the identified challenges considering the model of an integrated energy system and its components. Modeling the factors of uncertainty (e.g., resource prices, demand, and generation) using scenarios, forecasts, or stochastic processes and incorporate uncertainty into the decision-making models by developing stochastic optimization approaches such as stochastic programming and reinforcement learning.
Your profileYou are welcome to contact Dr. Elham Shirazi ( [email protected] ) for any questions you might have.
Please submit your application before January 13, 2024, by using the “Apply now” button. Applications should include the following:
The first (online) job interviews will take place in the week of 22nd of January.
Please do not send your applications by email, we will not process them.
About the organisationThe Faculty of Engineering Technology (ET) engages in education and research of Mechanical Engineering, Civil Engineering and Industrial Design Engineering. We enable society and industry to innovate and create value using efficient, solid and sustainable technology. We are part of a ‘people-first' university of technology, taking our place as an internationally leading center for smart production, processes and devices in five domains: Health Technology, Maintenance, Smart Regions, Smart Industry and Sustainable Resources. Our faculty is home to about 2,900 Bachelor's and Master's students, 550 employees and 150 PhD candidates. Our educational and research programmes are closely connected with UT research institutes Mesa+ Institute, TechMed Center and Digital Society Institute.
Want to know more Shirazi, E. (Elham)Assistant Professor
Shirazi, E. (Elham)Assistant Professor
Do you have questions about this vacancy? Then you can contact Elham for all substantive questions about this position and the application procedure. For general questions about working for the UT, please refer to the chatbot.
ContactPhone:+31534898083
Email:[email protected]
How to apply Step 1Apply. When you see a vacancy that appeals to you, you can apply online. We ask you to upload a CV and motivation letter and/or list of publications. You will receive a confirmation of receipt by e-mail.
Step 2Selection. The selection committee will review your application and you will receive a response within 2 weeks after the vacancy has been closed.
Step 31st interview. The 1st (online or in person) meeting serves as an introduction where we introduce ourselves to you and you to us. You may be asked to give a short presentation. This will be further explained in the invitation.
Step 42nd interview. In the second interview, we will further discuss the job content, your skills and your talents.
Step 5The offer. If the conversations are positive, you will be made a suitable offer.
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