BEMÆRK: Ansøgningsfristen er overskredet
If you would like to contribute to the green transition and digitalization of the energy system, this PhD position is right here in front of you. We offer a fully funded 3-year PhD position at DTU Wind and Energy Systems, where you will break new ground at the absolute forefront of renewable energy and AI research.
We at DTU Wind and Energy Systems offer a vibrant, welcoming, and diverse environment with an international atmosphere, encouraging creativity, empathy, team working, outstanding academic collaborations, and links to leading companies in the Danish energy sector.
You will join the Energy Markets and Analytics (EMA) Section, in the Division for Power and Energy Systems (PES). The EMA Section has a strong multi-disciplinary research focus on energy markets, optimization, game theory, and machine learning. We are currently 14 members in the EMA Section (link ) from 10 nationalities, valuing diversity, and with heterogeneous scientific backgrounds, including electrical engineering, industrial engineering, operations research, game theory, data science, applied math, etc. Many former EMA students are currently very successful scientists either in academia or in industry.
The PhD candidate will be involved in the “AI-powered Electricity Market Design” project that has been recently granted funding under the La Cour Fellowship programme. Besides DTU Wind, other academic and industrial partners support this project, including GeorgiaTech, Johns Hopkins University, Energinet and Flexhsape.
DTU highly encourages the PhD candidates to have a research stay of 3-6 months in abroad. The time period and destination will be determined in an agreement with the supervisors.
Motivation, tasks, and qualifications
The global shift towards sustainable energy solutions and the active role of consumers (or prosumers) in power systems have made the design and operation of electricity markets increasing challenging. Indeed, the variability and stochasticity of renewable energy sources and the limited cognitive capacity of human decision-makers to process complex information (so-called bounded rationality) further complicate their participation in electricity markets. Meanwhile, the rapid advancement of AI and machine learning techniques has opened up new opportunities to revolutionize the design and operation of electricity markets. While AI-powered solutions may be attractive, the security-critical nature of power systems makes their implementation challenging. In this context, can we trust the decisions of AI-powered electricity markets? This PhD project will address this question by designing trustworthy AI-powered electricity markets that are suited to facilitate the participation of prosumers and renewable energy resources. This research will focus on local flexibility and peer-to-peer markets, and various frequency-support ancillary service markets.
A good candidate will fulfil most of the following points:
- Knowledge of game theory and mechanism design
- Knowledge of AI and machine learning techniques
- Knowledge of programming languages, such as Python or Julia
- Excellent use of the English language
- Ability to communicate results in technical reports, and prepare scientific papers for publication in international conferences and journals
You must have a two-year master's degree (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 DTU's rules for the PhD education
.
Assessment
The assessment of the applicants will be made by Professor Spyros Chatzivasileiadis, Associate Professor Jalal Kazempour, and Assistant Professor Lesia Mitridati.
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
This position is a full-time position. 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.
The PhD project should start in 2024. The exact start-date is according to a mutual agreement, taking into account your availability and preference.
You can read more about career paths at DTU here http://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths.
Further information
Further information may be obtained from Assistant Professor Lesia Mitridati (lemitri@dtu.dk
).
You can read more about DTU Wind and Energy Systems Department at https://wind.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 procedure
Your complete online application must be submitted no later than 19 April 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 out 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). It would be beneficial that you explain why you suit well for this specific PhD position in terms of your scientific background, programming skills, motivation and commitment, etc (details are welcome).
- Curriculum vitae
- Grade transcripts and BSc/MSc diploma (in English) including official description of grading scale
- A list of at least two references.
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.
INFORMATIONER OM STILLINGEN:
- Arbejdspladsen ligger i:
Lyngby-Taarbæk Kommune
-Virksomheden tilbyder:
-Arbejdsgiver:
Danmarks Tekniske Universitet, Anker Engelunds Vej, 2800 Kongens Lyngby
-Ansøgning:
Ansøgningsfrist: 19-04-2024; - ansøgningsfristen er overskredet
Se mere her: https://job.jobnet.dk/CV/FindWork/Details/6025250