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Energy Storage Innovation Specialist

1 week ago


Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark DTU - Technical University of Denmark Full time
About the Job

We are seeking a highly motivated PhD student to work on advanced energy storage systems research. Your overall focus will be strengthening the department's competencies in the intersection between theory and real-world battery application by operating, monitoring, analyzing, modeling, and controlling modern BESS.

  • Work on laboratory test and grid scale applications.
  • Pioneer research on live monitoring of active batteries and BESS.
  • Develop methodologies and tools related to battery state estimation and prognosis.
  • Disseminate your work at conferences and peer-reviewed journals.
  • Network with international research bodies, academic institutions, and industry.
  • Follow and complete selected courses.
  • Assist in teaching courses and co-supervision of BSc and MSc.
Key Responsibilities

Your key responsibilities will include:

  • Working on laboratory test and grid scale applications.
  • Pioneering research on live monitoring of active batteries and BESS.
  • Developing methodologies and tools related to battery state estimation and prognosis.
  • Disseminating your work at conferences and peer-reviewed journals.
  • Networking with international research bodies, academic institutions, and industry.
  • Following and completing selected courses.
  • Assisting in teaching courses and co-supervision of BSc and MSc.
Requirements

We are looking for candidates with diverse backgrounds to join our team. You must be a self-motivated and team-oriented person who thrives in a collaborative environment and enjoys working on complex topics.

  • Active knowledge of battery and energy storage systems.
  • Measurement techniques in field applications and in the laboratory.
  • Modeling and simulation skills (batteries, energy systems, electric equivalent circuits).
  • Machine learning, statistical analysis, and other contemporary data-driven techniques.
  • Computational methods such as optimization, filtering algorithms, predictors, etc.
  • Software and coding skills with, e.g., Python, MATLAB, R, C++, Julia, potentially HIL.
  • Excellent command of English in speech and writing.
  • Good ability to present results orally, experience with preparing scientific papers for journal publications, and demonstrated team-oriented working attitude.
Contact Information

If you are interested in this position, please submit your application through our website. You may also contact us for more information.