PhD scholarship – Development of flexibility service in EV-dominated power systems using AI tools - DTU Wind

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PhD scholarship – Development of flexibility service in EV-dominated power systems using AI tools - DTU Wind
Roskilde, Denmark
Job Description

Do you want to be involved in the green energy transition? Do you wish to contribute to the development of E-mobility integration and are you looking for a career in R&D or academia? Then we have an opportunity!

We are looking for a highly motivated and skilled candidate to join us as a PhD scholar. We offer a multidisciplinary, international, and friendly atmosphere, encouraging creativity, diversity, empathy, and teamwork. You will have a great opportunity to build strong networks with internationally known researchers at DTU and other universities as well as industrial partners.

You will be affiliated with the Section on E-mobility and Prosumer Integration in the Division of Power and Energy Systems. Collaboration with neighboring sections working on distributed energy systems, hybrid power plants, smart grids, power system flexibility, and market design and operation, is encouraged. The Section on E-mobility and Prosumer Integration undertakes internationally leading research and teaching in the field of EV technologies, charging infrastructure and flexibility, advanced power electronics, battery energy systems and hybrid AC-DC systems. The research in this section is multidisciplinary and is currently formed by 27 researchers from 15 different countries.

Responsibilities and qualifications
The PhD project is part of the European research project AHEAD: AI-informed Holistic Electric Vehicles Integration Approaches for Distribution Grids.

The AHEAD project involves 21 partners from 11 countries and will create a simulation environment capable of predicting the most convenient location to place the electric vehicle (EV) charging stations and optimise both the usage of the power grid resources, and the charging stations located in urban and rural areas. This simulation environment will exploit the unique features of currently available AI models and include two layers: the spatial mapping one (placing the chargers where the people need them to be), and the power grid one (placing the chargers where the grid can support them). Innovative smart charging algorithms will be designed and tested in the model, to minimize the impact of EV charging pools on the network, and ensure the consumers have economic benefits. Moreover, these smart charging algorithms will be tested in three demonstration sites, dedicated to assessing the technical and economic feasibility of smart charging light and heavy-duty EVs, and boats.

This PhD project’s objective is to propose and demonstrate methods that allow the efficient integration of slow and fast chargers in the power system. These mechanisms will be designed in a data-driven manner, allowing for AI-informed decision making that prioritizes user preferences and experience.

Your primary tasks will be:

  • Plan and manage your PhD project in collaboration with supervisors 
  • Analyze current and future charging patterns for personal transportation and light commercial vehicles. 
  • Design and validate new AI-informed flexibility services that facilitate the grid friendly-integration of renewable energy sources while prioritizing user charging experience
  • Assess the impact of user preferences on EV charging and on the electrical grid

A detailed project plan will be developed with the supervisors within the first two months after enrolment.

Candidates should have a two-year master's degree (120 ECTS points) in engineering, natural sciences or similar degree with an academic level equivalent to a Master’s degree. The successful candidate has an education in a relevant engineering field or computer/data science and is motivated to specialize in electrical power systems. Candidates are required to have:

  • Excellent grades in your master program
  • Dedication and the desire to learn
  • Ability to present results in technical reports and prepare scientific papers 
  • Good programming skills (MATLAB and/or Python) 
  • Ability to work effectively with data and applied statistics
  • Knowledge of power systems or mathematical optimization is appreciated
  • Ability to work in a project team and take responsibility for own research goals
  • Fluent in communicating and reporting in English

The successful candidate must also fulfill the requirements for admission to a PhD program at DTU.

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 DTU's rules for the PhD education .

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 .

The workplace will be DTU Wind and Energy Systems, Risø Campus at Roskilde, Denmark.

Further information
Further information about the academic content may be obtained from postdoc researcher Tim Unterluggauer ([email protected] ), from postdoc researcher Panagiotis Pediaditis ([email protected] ), and Head of Section for E-Mobility and Prosumer Integration, Associate Professor Mattia Marinelli ([email protected] ).

You can read more about DTU Wind and Energy Systems AT www.vindenergi.dtu.dk  

If you are applying from abroad, you may find useful information on working in Denmark and at DTU at DTU – Moving to Denmark . Furthermore, you have the option of joining our monthly free seminar “PhD relocation to Denmark and startup “Zoom” seminar ” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU.

Application
Please submit your online application no later than the end of the 31 July 2024 (23:59 Danish 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 in the online application form, and attach all 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 (in English) including official description of grading scale
  • A 1-page research statement, including figures and references if deemed necessary (max 500 words). Research achievements (if any), methodological approaches and research objectives relevant to the framework of the PhD study are recommended elements to be included. 

You may apply prior to ob­tai­ning your master's degree but cannot begin before having received it. 

Applications 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.

The Department of Wind and Energy Systems is one of the world’s largest centers of wind energy and energy systems research and knowledge, with a staff of more than 400 people from 37 countries working in research, innovation, research-based consulting and education. DTU Wind and Energy Systems has approximately 90 PhD students. The department’s cross-disciplinary research is organized through strategic research programmes that collaborate with Danish and international universities, research institutions and organizations, as well as the wind industry.

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 mission to develop and create value using science and engineering to benefit society. That mission lives on today. DTU has 13,500 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. DTU has campuses in all parts of Denmark and in Greenland, and we collaborate with the best universities around the world.


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Job Info
  • Job Identification 3715
  • Job Category Phd
  • Posting Date 06/18/2024, 09:33 AM
  • Apply Before 07/31/2024, 05:59 PM
  • Locations Frederiksborgvej 399, Roskilde, 4000, DK



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    Frederiksborgvej 399, Roskilde, 4000, DK

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