PhD position with research focus on integration of machine learning methods into numerical simulation (m/f/d)

We are looking for a motivated and innovative PhD student to investigate integration of machine learning methods into numerical simulation and to build up in-depth knowledge of hybrid model approaches which combines physics-based models with data-driven methods.
The work within the scope of this position includes on the one hand fundamental research on novel combinations of numerical methods and machine learning approaches, and on the other hand applied research in the field of machine learning integration into computational fluid dynamics. Comprehensive knowledge in this area is already available at LEC so the candidate can build on existing models. Nevertheless, the creativity of generating smart methods and contributing novel ideas is obligatory.
The scientific outcome of this work should be an improved understanding of hybrid modeling within the framework of energy systems. Furthermore, a profound knowledge about the potential and limitations of the application of data-driven methods in computational fluid dynamics should be elaborated.

Responsibility

Identify possibilities for the integration of data-driven methods into the numerical simulation of energy systems
Develop hybrid models which combine numeric methods and machine learning
Elaborate a broad understanding of hybrid modeling
Support the further development of the machine learning team at LEC
Interact closely within the LEC’s research team
Communicate the project results in regular internal meetings and to project partners
Disseminate the project results in the form of scientific publications and elaborate a doctoral thesis

Your profile

Qualified degree (MSc, Dipl.-Ing) in applied mathematics, physics, computer science, telematics or similar
Profound mathematical skills
Interest for machine learning techniques
Programming skills (Python, Matlab)
Strong interpersonal skills with initiative and perseverance
Technical writing skills
Fluent in German and/or English

Our offer

Doctoral thesis related to an exciting research project
Outstanding research infrastructure
Independent work in an excellent team and with international partners
Excellent possibilities for further professional and personal development
Personal and professional development opportunities
Full-time position with a monthly gross salary of € 3.277,-
Earliest starting date: immediatly

The LEC supports equal opportunities and diversity. We are looking for dedicated and motivated individuals with research talent.

Kontakt:

Herlinde Kohlmaier
Email: career@lec.tugraz.at

Dissertations

PhD position with research focus on integration of machine learning methods into numerical simulation (m/f/d)