Python állás, munka

• Support postdoctoral researchers in conducting numerical simulations related to collaborative learning in wireless networks.
• Assist postdoctoral researchers with hardware demonstrations focused on collaboration and coordination among small radio devices.

The main task is to conduct high-quality and independent research on collaborative learning in wireless networks. The research addresses fundamental challenges related to efficiency, adaptability, and system performance. The objective is to develop learning algorithms and to analyze their behavior...

■ Conduct experimental work in a team of researchers. ■ Modify existing test rigs and conduct measurements. ■ Implement and develop models and features within a multi-phase numerical simulation tool. ■ Perform CFD simulations of metal-fuel processes. ■ Post-process and analyze data. ...

• Evaluation of different technologies in the field of cellular, NB-IoT and sub giga based communication standards
• Support the selecting process for MEMS and IMU's with focus on ultra-low power use cases

• Propose innovative methods to abstract EVCC functionality, transforming it from a hardware-dependent system to a flexible software component.
• Collaborate closely with our internal and external engineering partners to implement and integrate the software component into a rapid prototyping environment.

In 18-24 months, you will go through various stations in Germany and abroad, taking on responsible tasks in the areas of application, software services, software and function development (requirements engineering, function development, validation and verification, virtualization, big data, and...

• Prepare large-scale automated driving datasets for training and evaluation purposes.
• Contribute to the development and maintenance of the coding framework for data processing, model training, and validation of end-to-end driving systems.

• Build up basic knowledge on mechanic and thermal behavior MEMS components, supported through analytical and numerical models
• Development of a system model for describing thermomechanical behavior of the system (Python or Matlab)

• Development, optimization, and industrialization of ultrasonic-based sensor systems for flow measurement applications
• Simulation & modelling, as well as signal processing and algorithms
• Characterisation and qualification of ultrasonic sensors (prototyping/validation, application/reliability tests)

• Develop diagnostic and troubleshooting functions to quickly identify root causes and propose correct corrective actions
• Collaborate closely with system and function owners in development projects to ensure strong diagnostic support built in

• An opportunity to join a growing company with many career options
• Working hands-on with cutting-edge technology
• Interdisciplinary mentorship by experienced PhD-level experts
• A modern working environment, partial remote work is possible

• The possibility to learn and implement cutting edge technology
• Interpersonal and interdisciplinary mentorship by experienced PhD-level experts
• A modern working environment enabling hybrid work and remote workdays
• An opportunity to join a growing company with many career options

• Your role will be to develop and establish the scientific foundations for a machine learning-based multiphysics framework, using surrogate models trained on validated EHL simulations.
• You will also create a novel, computationally efficient, data-driven design protocol for lubricated components.