Data-Driven Design and Optimization Researcher
7 days ago
**District Energy Innovation Opportunities**
DTU is seeking a talented PhD scholar to contribute to the development of innovative data-driven services for the district energy industry. The successful candidate will be part of an EUDP-funded initiative focusing on improving current design procedures and optimizing future operations in 4th Generation District Heating (4GDH) systems.
As a key member of the team, you will work closely with researchers and industrial partners to develop and apply novel methods for data-driven design and optimization. Your contributions will help shape the future of sustainable district energy systems and drive significant advancements in science and industry.
- Conduct theoretical and analytical thermodynamic analysis with expertise in hydronic heating and cooling in buildings, domestic water installations.
- Collaborate with colleagues and academics at DTU Construct, AAU BUILD, and industrial partners in Denmark to validate innovative data-driven methodologies.
We are looking for a candidate with a strong engineering background and passion for research who is willing to combine modeling skills with experimental testing.
Benefits and Requirements- Possess deep knowledge of thermodynamics, hydronic heating and cooling in buildings, domestic water installations.
- Have computational modeling skills in energy systems, preferably for heating and cooling systems.
- Experience in laboratory activities and field measurement campaigns will be highly valued.
- Data processing, interpretation, and visualization will be highly beneficial.
- A background in mechanical engineering, civil engineering, energy engineering, or a related field.
The ideal candidate should have high ambition, adaptability, organizational skills, and critical thinking. It will also be expected to present results through technical reports and produce scientific papers for publication in international conferences and journals.
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