PhD Scholarship – DTU Wind: DTU Wind and Energy Systems in Kgs. Lyngby, Denmark, is offering a fully funded 3-year PhD position in Data-driven Optimization and Machine Learning for Power-to-X Hybrid Power Plants. The successful candidate will contribute to the “PtX Markets” project, focusing on energy system optimization and machine learning techniques in the green energy transition.
PhD Scholarship in Data-driven Optimization and Machine Learning for Operation and Planning of Power-to-X Hybrid Power Plants – DTU Wind
Designation: PhD Candidate
Research Area: Data-driven Optimization and Machine Learning for Power-to-X Hybrid Power Plants
Location: Kgs. Lyngby, Denmark
Eligibility/Qualification:
- Two-year master’s degree (120 ECTS points) or equivalent in a relevant field.
- Knowledge of power and energy systems, optimization, and machine learning.
- Proficiency in programming languages such as Python or Julia.
- Excellent command of the English language.
- Ability to present results in technical reports and prepare scientific papers for publication.
Job Description:
The PhD candidate will be involved in the “PtX Markets” project, developing cutting-edge data-driven optimization and machine learning techniques for optimal operational and planning strategies of Power-to-X hybrid power plants. Key responsibilities include:
- Contributing to the green energy transition and advancements in green hydrogen developments.
- Collaborating within the Energy Markets and Analytics (EMA) Section, Division for Power and Energy Systems (PES).
- Developing decision-making tools using data-driven optimization and machine learning techniques.
- Working on the “PtX Markets” project funded by Innovation Fund Denmark.
- Conducting research with academic and industrial partners, including Copenhagen Business School, Evida, Hybrid Greentech, ENFOR, Biogas Danmark, and Energi Danmark.
- Encouraged to have a research stay abroad for 3-6 months.
Approval and Enrolment:
- The scholarship is subject to academic approval, and the candidate will be enrolled in one of the general degree programs at DTU.
Assessment:
- The assessment of applicants will be made by Associate Professor Jalal Kazempour, Researcher Farzaneh Pourahmadi, and Assistant Professor Lesia Mitridati.
We Offer:
- A rewarding and challenging job in an international environment.
- 3-year employment period based on the collective agreement with the Danish Confederation of Professional Associations.
Salary and Appointment Terms:
- Salary and appointment terms will be based on the collective agreement, with the period of employment being 3 years.
How to Apply:
Submit your online application by 19 February 2024 (23:59 Danish time). All materials must be included in one PDF file and should contain:
- A cover letter explaining why you are suitable for the position.
- Curriculum vitae.
- Grade transcripts and BSc/MSc diploma (in English) with an official description of the grading scale.
- A list of at least two references.
You may apply before obtaining your master’s degree, but the start date is subject to receiving it. Late applications will not be considered.
Further Information: For additional information, contact Associate Professor Jalal Kazempour at jalal@dtu.dk. Learn more about DTU Wind and Energy Systems Department at DTU Wind and Energy Systems.
Disclaimer: This job post is sourced from a reliable channel. Please verify details from the official DTU website for additional information and updates.
