2 PhDs for Data-Driven Combustion Analysis & Simulation
Are you looking for a paid PhD in one of the hottest topics of today’s scientific world? You are inquisitive, you like to work independently but also as part of a team? You want to make an important scientific contribution? If so, we are looking forward to meet you! As part of the HybTec Comet module, you develop highly efficient engines for the future, making use of the latest technologies in computer science.
The main challenges for high performance engines are the extremely high thermal and mechanical loads on engine components (all engine categories) as well as narrow operating ranges and combustion anomalies (gas and dual fuel engines) that limit dynamic behaviour and emission behaviour. Thus, component design as well as the design and control of the combustion process are becoming the key issues for the ultra-high-performance engines of the future. A team of PhD students will jointly work on the overarching goal to increase our understanding of stochastic phenomena and working towards a more realistic simulation of highly complex processes.
Part of the PhD related work will be the development of tools to better capture and comprehend the complex combustion phenomena, followed by research on techniques to integrate expert knowledge via visual analytics and active learning. This will include an exploratory data analysis phase in close cooperation with your peers. A complementary part will be the development of hybrid models for analysis and simulation. These will combine physical models for the combustion process with state-of-the-art machine learning approaches, including deep learning.
- Apply state-of-the-art techniques from visual analytics, active learning and data science for complex stochastic combustion phenomena (e.g., knocking)
- Rigorous analysis and development of hybrid (data-driven and physical) modelling approaches for analysis and combustion simulation
- University degree (MSc, DI) in computer science, mechanical engineering, software development, telematics, physics, mathematics or similar fields of study
- Initial experience in programming, data analysis, data security, etc. is advantageous
- Experience in scientific work is an advantage
- Good knowledge of programming languages and/or interest in learning new ones (Python, Java, Matlab, Web technologies)
- Solution-oriented behaviour
- Teamwork, independence and a high level of communication skills
- Very good English, German is advantageous
- Comprehensive support for your dissertation project at Graz University of Technology
- Dynamic, creative and multi-cultural team
- Innovative tasks
- Research at the interface between science and business
- Opportunities for professional and personal development
- Very good work-life balance (no overtime included) and informal and good working atmosphere
The minimum salary for this full-time position (38.5 h/w) is € 2,750 gross per month (14 times a year), without overtime. There is a willingness to overpay depended on experience and qualifications.
Job posting available as PDF.
We are looking forward to your application at email@example.com!