| Research
      Opportunities   The Renewable Energy Research Group at Department of Energy
      Technology, Aalborg University can apply for tuition waiver for excellent Ph.D students.    We are striving to provide excellent
      environment for research and encourage those who would like to carry out
      high-quality research in the areas of power system, power electronics and
      electrical machine. We are also very happy to host academic visitors and
      research fellowships. Our group’s research focuses on efficient energy
      production based on renewable energy sources and optimal use of energy
      for various purposes. The group has strong cooperation with academic
      research institutions and industrial companies worldwide.   New Ph.D. positions are available
      for highly-motivated students with a strong research background and
      capability. For each research field, we are looking for candidates with
      the following qualifications:   · A Master degree in engineering,
      mathematics, or related fields is preferred, though outstanding
      undergraduate students will also be considered; · Strong mathematical background and
      proficient skills in modelling and simulation in a programming
      environment, such as Matlab; · Previous research experiences in related
      fields and scientific publications in journals/conferences are preferred; · Excellent communication skills and good
      writing skills.   In addition, we hope the candidates
      have strong interests and/or previous research experience in either one
      of the following fields:   1.     Renewable
      Multi Energy System 1.1. 
      Integrated
      multi energy system 1.2. 
      Artificial
      intelligent technology in multi-energy system 1.3. 
      Wind
      power system 1.4. 
      Power
      to X technology (Power to Gas, Power to Hydrogen, Power to
      Heating/Cooling) 1.5. 
      Wind
      farm design optimization 1.6. 
      HVDC
      system with large scale offshore wind farms 1.7. 
      Intelligent
      fault diagnosis of large-scale wind power systems 1.8. 
      Grid
      integration of offshore wind farms 1.9. 
      Design
      and planning of renewable energy systems   2.     Power
      Systems 2.1. 
      Large
      scale wind farm integration into power systems 2.2. 
      Artificial
      intelligent technology in modern power system 2.3. 
      Smart
      renewable electricity market 2.4. 
      Operation
      and control of modern power system 2.5. 
      Intelligent
      distribution system 2.6. 
      Power
      system stability and protection 2.7. 
      Power
      system resilience 2.8. 
      Vehicle
      to grid (V2G) technology 2.9. 
      Electrical
      power system for nuclear fusion power plant   3.     Power
      Electronics 3.1. 
      Power
      electronics converter design and control 3.2. 
      Power
      electronics application in power systems 3.3. 
      Power
      electronics for grid integration of distributed energy resources  3.4. 
      Power
      electronics integrated application with electrical machines 3.5. 
      Energy
      router technology  3.6. 
      Advanced
      power conversion technology for nuclear fusion power plant   4.     Electrical
      Machines 4.1. 
      New
      wind power generator design and optimization 4.2. 
      High-power
      generator for offshore wind power generation 4.3. 
      Operation
      and control of switched reluctance electrical machines   We also welcome visiting scholars
      throughout the world.   Interested students are encouraged
      to contact Prof. Zhe Chen (zch@et.aau.dk) or Dr. Yanbo Wang (ywa@et.aau.dk).   |