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PhD researcher Optimization and Control of Integrated Energy Systems

Research PhD candidate in Optimization and Control of Integrated Energy Systems in Enschede, Netherlands. Develop control strategies for renewable energy integration. Strong background in electrical engineering, computer science, and mathematical optimization required.

Universiteit Twente
Universiteit Twente
Enschede, Netherlands  UTC+01:00   On-site   5000-10000   EUR 3k–4k   More than 3 months ago

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 Profile

  • A master’s degree in electrical engineering, computer science, applied mathematics or a similar related discipline preferably with a background in power and energy system.
  • A strong programming skill in Python for numerical modelling and data analysis.
  • A sound background in mathematical optimization, preferably combined with experience in simulation and data science.
  • You are able to design and execute your own research with a strong creative but analytical mind, and a critical attitude toward the assessment of results
  • You have strong communication skills, and you are able to establish connections and cooperate with relevant practitioners for the design and execution of your research.
  • Proficient in written and oral English (C1; above IELTS 7 or equivalent)

Our Offer

  • A full-time 4-year PhD position.
  • We provide excellent mentorship and a stimulating international research environment with excellent facilities.
  • A starting salary of € 2.770,- gross per month in the first year and increasing to a salary of € 3.539,- in the fourth year gross per month;
  • A holiday allowance of 8% of the gross annual salary and a year-end bonus of 8.3%.
  • A solid pension scheme.
  • Minimum of 29 leave days in case of full-time employment.
  • We provide excellent mentorship and a stimulating research environment to accelerate your further professional and personal growth.
  • The University of Twente is situated on a green and lively campus with lots of facilities for sports and other activities.

Information and Application

You are welcome to contact Dr. Elham Shirazi (e.shirazi@utwente.nl) for any questions you might have.

Please submit your application before December 20, 2023, by using the “” button. Applications should include the following:

  • Your academic CV, including at least two contacts for reference (we will not contact them before your consent).
  • A motivation letter, including explanation of (a) your motivation for this PhD role and interest in this project, (b) your research interest.
  • A transcript of your grades from both bachelor’s and master’s degrees.
  • Your Master’s thesis and (if applicable) a paper that you have written, in which you demonstrate your scientific and scientific skills.

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 Organisation

The 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.

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About the role

Dec 08, 2023

School

Jun 04, 2024

On-site

EUR 3k–4k

Enschede, Netherlands

Master's degree

UTC+01:00

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