The PhD student will carry out research in the intersection of machine learning and optimization for flexibility markets in distribution grids. It is envisioned that approaches based on machine learning, optimization, and online control will be developed to handle large datasets and optimization problems in a computationally efficient and reliable way. The PhD student will also have the opportunity to collaborate with leading academic and industry partners in the field of flexibility markets in Europe
Candidates should have a two-year master's degree in engineering, computer science, mathematics, physics or similar (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree
PhD scholarship in Machine Learning and Optimization for Distribution-Level Flexibility Markets DTU Electrical Eng Share on Facebook Share on Twitter Share on Linkedin Monday 29 Jun 20 Apply for this job Apply no later than 31 July 2020 Apply for the job at DTU Electrical Eng by completing the following form. Apply online The Center for Electric Power and Energy at the Department of Electrical Engineering invites applications for one PhD position on Machine Learning and Optimization for Distribution-Level Flexibility Markets. The PhD scholarship is part of the EU-funded project FLEXGRID. FLEXGRID is a European project with 11 partners from academia and industry that aims to design flexibility market architectures for the distribution grid, to help European DSOs and TSOs manage their grid safely and at low-cost. The goal of FLEXGRID is to develop models that will assess the strategic behaviour of market participants under different flexibility market designs, design appropriate distribution-level flexibility market architectures and determine their key features, and integrate advanced grid system models in market clearing algorithms. To achieve this, the design and implementation of advanced optimization algorithms is necessary. This PhD position is expected to explore machine learning methods to enable the solution of large-scale optimization problems in a reliable way (e.g. optimization problems related to the strategic behaviour of market participants). Responsibilities and tasks The PhD student will carry out research in the intersection of machine learning and optimization for flexibility markets in distribution grids. It is envisioned that approaches based on machine learning, optimization, and online control will be developed to handle large datasets and optimization problems in a computationally efficient and reliable way. The PhD student will also have the opportunity to collaborate with leading academic and industry partners in the field of flexibility markets in Europe <. Qualifications Candidates should have a two-year master's degree in engineering, computer science, mathematics, physics or similar (120 ECTS points) or a similar degree with an academic level equivalent to a two-year master's degree. Approval and Enrolment The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide . Assessment A successful candidate will have a solid background in at least five of the following points: Power system operation and integration of renewable electricity production Machine learning techniques, statistics, and probabilities Electricity markets Optimization with application to power systems Programming tools such as Matlab, Python, Julia, etc. Excellent use of the English language Ability to present results in technical reports, and prepare scientific papers for publication in international journals An ideal candidate will also be self-motivated, would enjoy working with complex topics, and would thrive in collaboration and teamwork. The assessment of the applicants will be made by the following Assessment Committee: Associate Professor Spyros Chatzivasileiadis, Associate Professor Jalal Kazempour, and Professor Pierre Pinson. The assessment of the applications and interviews will be ongoing and might start before the application deadline. We offer DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility. Salary and appointment terms The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union. The period of employment is 3 years. You can read more about career paths at DTU here . Further information > Further information may be obtained from Associate Professor Spyros Chatzivasileiadis, tel.: 45 4525 5621, Email: email@example.com . DTU ranks within the top 20 universities in the world in the subject area “ Energy Science and Technology ”. You can read more about DTU Elektro here and the Center for Electric Power and Energy here . We offer outstanding career opportunities, have very strong relations to the industry and we focus on transforming the electric power system into an intelligent infrastructure based on renewable energy. Application Please submit your online application no later than 31 July 2020 (local time) . Applications must be submitted as one PDF file containing all materials to be given consideration. To apply, please open the link "Apply online", fill out the online application form, and attach ll your materials in English in one PDF file . The file must include: A letter motivating the application (cover letter) Curriculum vitae Grade transcripts and BSc/MSc diploma Excel sheet with translation of grades to the Danish grading system (see guidelines and Excel spreadsheet here ) A Research Statement (max. 800 words). Contact details of two individuals that can provide a letter of reference Through the research statement the applicants have the chance to present a research problem that interests them and propose how it might be investigated. The research problem should be suitable for doctoral level work, but it is not necessary to be related to the topic of the advertised PhD position. Candidates may apply prior to obtaining their master's degree but cannot begin before having received it. Applications and enclosures received after the deadline will not be considered. All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply. DTU Electrical Engineering educates students within electrical engineering technologies. We offer studies at BEng, BSc, MSc and PhD levels, and participate in joint international programmes. We conduct state-of-the-art research within antenna and microwave technology, robot technology, power and physical electronics, acoustic environment, electro-acoustics, electric power and energy. Our department has more than 200 members of staff. Technology for people DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN’s 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 11,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland.
Please click here, if the Job didn't load correctly.
Please wait. You are being redirected to the Job in 3 seconds.