AI Simulation - Finland (Perm)

microTECH Global LTD; Finland; Remote; EUR 70,000 - 100,000; Full time

Job summary

microTECH Global LTD in Finland seeks an expert to fuse engineering simulation, AI, and scientific computing to advance next-generation simulation technologies. You will collaborate with structural simulation engineers to enhance modeling efficiency and build intelligent tools for engineering analysis.

The role focuses on AI-driven optimization of nonlinearities, data processing, and developing scalable simulation solutions using FEM, LLMs, and graph neural networks.

Qualifications

• Master's degree or higher in a relevant field.
• Solid foundation in numerical analysis, ML theory, and probability statistics.
• Strong knowledge of material mechanical behavior and constitutive functions.
• Familiarity with finite element analysis theory and engineering simulations.
• Understanding of LLMs and Graph Neural Networks.
• Proficiency in Python and C++ with solid coding skills.

Responsibilities

• Simulate complex structural systems and optimize nonlinearities in geometry and contacts.
• Process data, perform feature engineering, and build AI models for simulation workflows.
• Design efficient AI algorithms leveraging domain knowledge and databases.
• Track advances in AI for simulation and explore innovative AI+simulation applications.
• Collaborate with the simulation team to develop intelligent tools and improve efficiency.

Skills

Numerical analysis

Machine learning theory

Probability statistics

FEM concepts

LLM

Graph neural networks

Python

C++

Code development

ML frameworks

Database frameworks

Data processing

AI+FEM experience

Education

Master's degree or higher in Materials Science / Mechanical Engineering / Computer Science

Tools

Abaqus

COMSOL

ANSYS

TensorFlow

PyTorch

SQL / DBs

Job description

In this role, you will combine engineering simulation, scientific computing, and artificial intelligence to develop next-generation simulation technologies. You will work closely with structural simulation engineers to improve modeling efficiency, accelerate complex simulations, and build intelligent tools for engineering analysis.

Key Responsibilities

• Simulating complex structural system, finding efficient solutions for the nonlinearities in geometries, contacts, materials, etc.

• Data processing, data analyzing, feature engineering, AI modeling, and AI model optimizing in the domain of structural simulation.

• Designing and implementing efficient AI algorithm solutions based on domain knowledge and database features to improve simulation efficiency.

• Tracking the development of international cutting-edge AI technologies, exploring innovative application scenarios of AI+ simulation, and promoting the implementation of technological innovation.

• Working closely with the simulation engineer team to develop intelligent simulation tools, optimize the simulation process, and improve the overall work efficiency.

Required qualifications and skills

• Master's degree or above in material science, mechanical engineering, computer science, etc.

• Proficient in mathematical foundations such as numerical analysis methods, machine learning theory, and probability statistics.

• Proficient in material mechanical behaviors, and different types of constitutive functions.

• Familiar with the principle of finite element analysis theory and its application in engineering simulation.

• Familiar with the principle of LLM and Graph Neural Network.

• Proficient in programming languages, such as Python and C++, and have good code development capabilities.

• Proficient in commercial simulation software including Abaqus, COMSOL, or ANSYS.

• Familiar with mainstream machine learning frameworks.

• Familiar with mainstream database management frameworks.

• Practical experience in AI+ FEM simulation projects is preferred.

• Experience in large-scale data processing and model optimization is preferred.

• Experience in LLM/Graph Neural Network is preferred