Junior programozó állás, munka

• 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.

• Responsibility for the entire product life cycle of optical frequency comb products, including budget, revenue, profit, etc.
• Development and maintenance of the product roadmap
• Interface role between customers and internal departments, including management of inter-departmental communication

• Perform structural and dynamic simulations using LS-DYNA for automotive and battery applications, including vibration and dynamic load scenarios
• Conduct electro-thermal modeling in ANSYS Workbench and APDL
• Develop and optimize thermal management systems for Li-ion batteries

• Develop and implement generative AI models for design optimization
• Integrate AI algorithms with Finite Element Method (FEM) and other simulation tools
• Analyze simulation results and propose design improvements
• Collaborate with engineers to automate optimization workflows

You are involved in the further development of a computational multi-physics simulation framework in C++ and its application to specific research problems, mainly from materials science and process engineering. Additionally, publication of your scientific results in international scientific...

• 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

• Development of scripts for FE calculations in Python or MATLAB-
• Carrying out FE calculations
• Quasi-static and dynamic analyses
• Creation and integration of extended manufacturing boundary conditions
• Familiarization with FE models and improvement of model quality

• System and SoC Architecture: Define requirements and specifications of architectures for Systems on a Chip (SoC)
• IP Selection of standard components and architectural decisions: Definition of differentiating components (IP) and selection and integration of standard IP (CPU, memory, interconnections)

• to develop automated workflows for descriptor-based microstructure reconstruction
• to identify material parameters for crystal plasticity simulations from experimental data through inverse analysis

• Evaluate most promising topological techniques (pixelated surfaces or shape deformation) for design optimization of metasurfaces
• Development of both methods and integration within internal software.
• Simulation and design on test metasurfaces for a given application

The topic of the dissertation: Investigation and optimization of III-V-semiconductor-based light sources for parallel short-range data communication...

• Driving locally disciplinary and globally technically the Raw Data Processing development (incl. planning, concept & verification)
• Leading and developing a high-performing international team, fostering individual growth and technical excellence