Summary
The University of Luxembourg is seeking a highly motivated Doctoral researcher to develop a general greenhouse gas (GHG) model across various sectors. This model will be integrated with the UCB-SEnMod, allowing for a comprehensive view of direct and indirect GHG emissions while exploring potential renewable energy integrations.
Doctoral Researcher in Greenhouse Gas Modelling, Belval Campus, University of Luxembourg
Designation
Doctoral Researcher
Research Area
Greenhouse Gas Modelling, Environmental Sciences, Engineering, Energy Systems
Location
Belval Campus, University of Luxembourg
Eligibility/Qualification
- Master’s degree in Physics, Chemistry, Engineering, Environmental Sciences, or a related field.
- Familiarity with Python or similar programming languages and the use of AI tools.
- Strong fundamentals in physical processes.
- Excellent problem-solving skills and initiative.
- At least B2-level proficiency in the language of the thesis.
Job Description
- Establish requirements, design, and code a GHG module for integration with UCB-SEnMod.
- Extract workflows from literature necessary for modeling and gather needed data.
- Utilize the combined model to design scenarios that reduce GHG emissions.
- Maintain documentation and version control for models and results.
- Prepare the module for open-source use.
- Conduct data analysis, figure preparation, manuscript/report drafting, and present results at international conferences.
- Collaborate with internal and external partners, including the Luxembourg Centre for Socio-Environmental Systems and Trier University of Applied Sciences.
How to Apply
Applications should include:
- Curriculum Vitae
- Cover letter detailing motivation for the doctoral thesis and alignment with academic focus
- Transcript of university-level courses
- Portfolio or list of relevant projects
- One-page proposal outlining the approach to the project
Note: Applications must be submitted online through the HR system. Applications sent by email will not be considered.
Last Date to Apply
Open Now
Early application is highly encouraged, as applications will be processed upon reception.
