Jobid=636890699196270677 (0.0174)
ph3PhD Position Distribution Systems Flexible Operation under Uncertain and Incomplete Information /h3 pThe Delft University of Technology is hiring a doctoral candidate on the subject “Distribution systems flexible operation under uncertain and incomplete information”. The Ph.D. position is part of the Future Network Services (FNS) Project. /p pThe energy transition is transforming the way distribution systems at the low-voltage (LV) level are operated. Expectations are that the integration of distributed energy resources (DERs), also known as flexible assets, will continue to grow. DERs such as PVs, electric vehicles, and electric heat pumps, complemented by smart buildings, will unlock the required energy flexibility at the LV level to address technical issues such as voltage problems and network congestion. The way the flexibility provided by DERs and smart buildings can be exploited (e.g., via local flexibility markets) is still in development with many unresolved challenges. Two of these challenges revolve around data availability and operational uncertainty. /p pThis PhD research project aims to investigate how distribution systems can exploit the flexibility of DERs and smart buildings, given limited data availability and increased operational uncertainty. Data availability is limited due to a lack of digitalization or privacy issues, while large uncertainties govern the operation of distribution systems because DERs (e.g., PV and EVs) are weather- and human behaviour-dependent. This PhD aims to address research questions such as how can AI and ML models support the coordinated operation of DERs and smart buildings in the context of limited data? How can AI and ML models increase distribution systems observability via surrogate models. /p pThis is a four-year doctoral appointment. You will be jointly supervised by Dr. Pedro P. Vergara (Associate Professor) and Prof. Peter Palensky (Chair IEPG). You will be a member of the section Intelligent Electrical Power Grids in the Faculty of Electrical Engineering, Mathematics, and Computer Science. The project will offer opportunities to collaborate with industrial partners but also with academics from other disciplines, as required (mathematics, operations research). Within the team, we strive to develop methods that are mathematically rigorous and have near-term application potential. We are strong supporters of open science (publishing, source code, data). You will also be expected to assist in teaching activities (student supervision, labs) related to your subject area. /p pAbout the Future Network Services (FNS) Project /p pThis PhD research is part of the Future Network Services (FNS) 6G Project, led by TNO. The FNS Project aims, among others, to deliver the innovations needed to enable real-time services for the electricity infrastructure via 6G technologies. /p pAbout the ESE Department /p pThe research in the Department of Electrical Sustainable Energy is inspired by the technical, scientific, and societal challenges originating from the transition towards a more sustainable society and focuses on four areas: /p ul liDC Systems, Energy Conversion and Storage (DCES) /li liPhotovoltaic Materials and Devices (PVMD) /li liHigh Voltage Technologies (HVT) /li /ul pThe Electrical Sustainable Energy Department provides expertise in each of these areas throughout the entire energy system chain. The department owns a large ESP laboratory assembling High Voltage testing, DC Grids testing environment, and large RTDS that is actively used for real-time simulation of future electrical power systems, AC and DC protection and wide-area monitoring and protection. /p pThe Intelligent Electrical Power Grid (IEPG) group, headed by Professor Peter Palensky, works on the future of our power system. The goal is to generate, transmit and use electrical energy in a highly reliable, efficient, stable, clean, affordable, and safe way. IEPG integrates new power technologies and smart controls, which interact with other systems and allow for more distributed and variable generation. /p pbJob requirements /b /p ul liBasic knowledge of power systems. /li liCompleted an MSc degree in a highly technical related discipline (computer science, electrical engineering, etc.) and you were at the top of your class. /li liExcellent analytical skills and a solid basis in machine learning and/or operational research. You can understand literature in both disciplines. /li liExcellent oral and written communication skills in English proven by a minimum score of 100 in TOEFL or IELTS of 7.0 per sub-skill (writing, reading, listening, speaking). Candidates do not need to present the test results as part of their application. These results will be requested at a later stage during the selection procedure. For more information see /li liYou enjoy performing research. You are independent, self-motivated and eager to learn. /li liYou are keen to work with partners to link real-world challenges to fundamental research questions. /li liKnowledge of electrical distribution systems, power flow, and congestion management. /li liExperience with optimization methods and scheduling problems as well as optimization packages such as Pyomo. /li liYou enjoy programming and have experience with Python, machine learning, command-line tools, version control. /li /ul pbTU Delft (Delft University of Technology) /b /p pWorking at TU Delft means contributing to solutions that really make a difference. /p pFor over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow. /p pThese challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future. /p pAt TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional. /p pWorking at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward. /p pbFaculty of Electrical Engineering, Mathematics and Computer Science /b /p pThe Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment. /p pClickhere to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science. /p pbConditions of employment /b Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met. /p pSalary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from€3204 – €4051 gross per month, from the first year to the fourth year based on a fulltime contract (38 hours), plus 8% holiday allowance and an end-of-year bonus of 8.3%. /p pAs a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills. /p pWill you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service , offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands. /p pbAdditional information /bIf you would like more information about this vacancy or the selection procedure, please contact Pedro P. Vergara, Associate Professor, via . For information about the selection procedure, please contact Carla Jager, Secretary, IEPG group, email: . /p pFaculty/Department: Faculty of Electrical Engineering, Mathematics Computer Science /p pFTE: 1 /p pSubmission is possible until: 27 Sep 2026 /p /p #J-18808-Ljbffr
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