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PhD Researcher(m/w/x)
Developing data-driven models and simulation approaches for sustainable energy systems. Master's degree in a technical field and programming skills required. Flexible working models, personal development opportunities.
Requirements
- Completed Master’s degree in technical field
- Passion for energy topics and energy transition
- Good knowledge of at least one programming language
- Analytical and systematic work approach
- Interest in applied research and scientific work
- Teamwork and professional exchange
- Good written and spoken English skills
- Completed Master’s degree in technical field
- Passion for energy topics and energy transition
- Good knowledge of at least one programming language
- Analytical and systematic work approach
- Interest in applied research and scientific work
- Teamwork and professional exchange
- Good written and spoken English skills
Tasks
- Conduct research on sustainable energy systems
- Develop application-oriented technical solutions
- Create models of energy systems
- Analyze complex relationships using data-driven methods
- Design simulation and optimization approaches
- Implement energy-related applications and processes
- Collaborate with interdisciplinary research teams
- Contribute expertise to national and international projects
- Document research results
- Present findings in project meetings
- Publish research in scientific journals
- Publish research in conference proceedings
- Demonstrate independent research capabilities
- Pursue a doctoral dissertation at a partner university
Education
- Master's degree
Languages
- English – Advanced
Tools & Technologies
- Python
Benefits
Flexible Working
- Flexible working models
Family Support
- Compatibility of family and career
Other Benefits
- Diversity
Learning & Development
- Personal development
Informal Culture
- Collegial and appreciative environment
- Creative freedom
Team Events
- Shared celebrations
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PhD Researcher(m/w/x)
Developing data-driven models and simulation approaches for sustainable energy systems. Master's degree in a technical field and programming skills required. Flexible working models, personal development opportunities.
Requirements
- Completed Master’s degree in technical field
- Passion for energy topics and energy transition
- Good knowledge of at least one programming language
- Analytical and systematic work approach
- Interest in applied research and scientific work
- Teamwork and professional exchange
- Good written and spoken English skills
- Completed Master’s degree in technical field
- Passion for energy topics and energy transition
- Good knowledge of at least one programming language
- Analytical and systematic work approach
- Interest in applied research and scientific work
- Teamwork and professional exchange
- Good written and spoken English skills
Tasks
- Conduct research on sustainable energy systems
- Develop application-oriented technical solutions
- Create models of energy systems
- Analyze complex relationships using data-driven methods
- Design simulation and optimization approaches
- Implement energy-related applications and processes
- Collaborate with interdisciplinary research teams
- Contribute expertise to national and international projects
- Document research results
- Present findings in project meetings
- Publish research in scientific journals
- Publish research in conference proceedings
- Demonstrate independent research capabilities
- Pursue a doctoral dissertation at a partner university
Education
- Master's degree
Languages
- English – Advanced
Tools & Technologies
- Python
Benefits
Flexible Working
- Flexible working models
Family Support
- Compatibility of family and career
Other Benefits
- Diversity
Learning & Development
- Personal development
Informal Culture
- Collegial and appreciative environment
- Creative freedom
Team Events
- Shared celebrations
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Energy Research Centre at FHV
Industry
Research
Description
The Energy Research Centre conducts research in data-driven modeling, simulation, and optimization of future energy systems.
Not a perfect match?
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