Doctoral Thesis: AI-supported Testbed Operation of Medium-Speed Single-Cylinders (AI Engineer)

Everllence SEAugsburg, Augsburg, BayernEURESpublished 08/13/2026
Must-have:AI
Machine translation — original language: German.Show original

What you should know about us

Everllence is paving the way to a climate-neutral global economy. Whether industrial production, energy, or the maritime industry: we think holistically and are tackling tomorrow's challenges today - for the sustainable value creation of our customers. Our technology portfolio contains the experience from over 250 years of engineering tradition. Everllence is headquartered in Germany and employs around 15,000 people at more than 120 locations worldwide. Our customers also benefit from the global service center network of our after-sales brand, Everllence PrimeServ.

The following tasks we can offer you

  • Analysis of existing measurement data to derive the requirements for (AI-supported) automation tools for autonomous testbed operation.
  • Development and validation of real-time analysis and decision-making tools based on existing measurement data.
  • Investigation of the specific requirements of conventional as well as climate-neutral fuels (methanol, ammonia, and hydrogen) and integration of the findings into tool development.

Analysis and evaluation of different combustion processes for medium-speed engines: (1) Diffusion combustion (2) premixed combustion processes with external ignition (3) RCAI combustion processes (Reactivity Controlled Auto Ignition) * Development of fuel- and combustion-process-independent methods for automated test operation. The boundary areas in characteristic maps should be reliably recognized and simultaneously able to be quickly backed off.

  • Comparison, evaluation, and selection of suitable AI-based as well as algorithmic approaches with regard to performance, robustness, and flexibility.
  • Development of strategies for the automatic recognition, evaluation, and handling of operational deviations.
  • Validation and robustness assessment of the developed tools on the research engine in testbed operation.
  • Evaluation of the potential for realizing an autonomous and fully automated testbed operation.

With these qualifications you help us further

  • Completed technical studies (mechanical engineering, chemical engineering, physics, or comparable course of study)
  • Studies must meet the requirements for conducting a doctorate
  • Specialization in the field of thermodynamics and combustion
  • Experience with engine combustion and thermodynamic processes
  • Knowledge in the field of 0D/1D simulation
  • Knowledge in the field of alternative fuels is an advantage
  • Systematic, goal-oriented, and independent way of working
  • Team-oriented way of working
  • Very good English skills

Our benefits for you

Canteen, meal allowance, accessibility, occupational health management, company doctor, fitness room, parking, good transport connections, employee discounts, student network, women's network

If you have any questions, please contact Nicola Hasl. E-mail: nicola.hasl@everllence.com.

Contact person

Listed by the employer in the job posting — for questions and your application.

  • Nicola Hasl