丹麦科技大学

AI for Electricity Market Design

项目介绍

The Centre for Electric Power and Energy (CEE) at the Department of Electrical Engineering, Technical University of Denmark (DTU) invites applications for a fully funded 3-year PhD position in AI for electricity market design. CEE offers a very international, diverse, and friendly atmosphere, encouraging creativity, empathy and team working within the center and beyond. This PhD position is fully funded by DTU Electrical Engineering Department.

The PhD student will join the Energy Analytics & Markets (ELMA) research group of CEE. The ELMA group (https://lnkd.in/dNBFxrc) has a strong multi-disciplinary research focus on energy markets, advanced optimization and game-theoretic algorithms, AI and energy analytics. Many former ELMA group members are currently very successful scientists either in academia or in industry.

The PhD student will have a great opportunity to build strong networks with internationally known researchers at DTU and other universities as well as industrial partners. The student will take several relevant courses (30 ECTS in total) aligned with the PhD project either in DTU or other universities. The student will also have a chance to attend several international conferences and other scientific events as well as a research stay for 3-6 months in a well-known research group outside Denmark.

About the position
The PhD student will mainly focus on how AI, in particular advanced machine learning algorithms, can contribute to designing more efficient electricity markets in terms of increased social welfare and reduced computational complexity. The student will investigate the success of AI and machine learning in designing generic marketplaces (and markets for other commodities) in the literature and will then focus on designing AI-assisted electricity markets.

Qualifications
The candidate should 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. A good candidate will have a solid background in most of the following points: 

  • Knowledge of power systems and electricity markets
  • Knowledge of convex optimization and game theory
  • Knowledge of various machine learning techniques
  • Knowledge of programming tools such as Julia and Python
  • Excellent use of the English language
  • Ability to present results in technical reports, and prepare scientific papers for publication in international conferences and journals

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
The assessment of the applicants will be made by Associate Professor Jalal Kazempour (DTU).

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 Jalal Kazempour, seykaz@elektro.dtu.dk.    

You can read more about DTU Electro at www.elektro.dtu.dk/english and CEE at www.cee.elektro.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.

Application procedure
Please submit your online application at your earliest convenience but not later than 1 October 2021 (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 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)
  • Contact details of two individuals that can provide a letter of reference

Candidates may apply prior to ob­tai­ning their master’s degree but cannot begin before having received it.

All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.

录取要求

  • The candidate should 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. A good candidate will have a solid background in most of the following points:
  • Knowledge of power systems and electricity markets
  • Knowledge of convex optimization and game theory
  • Knowledge of various machine learning techniques
  • Knowledge of programming tools such as Julia and Python
  • Excellent use of the English language
  • Ability to present results in technical reports, and prepare scientific papers for publication in international conferences and journals

项目概览

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北欧, 丹麦 所在地点
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截止日期 2021-10-01
丹麦科技大学

院校简介

丹麦技术大学坐落于北欧丹麦王国-哥本哈根大区,由著名物理学家奥斯特于1829年创建。
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联系方式

电话: (+45) 45 25 25 25

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