Cracow University of Technology · Doctoral School
Jakub Grobis
Electronics Engineer · PhD Researcher
Designing adaptive control systems for BLDC motors using neural networks. Building the bridge between embedded hardware and intelligent algorithms.
I am a PhD candidate at the Cracow University of Technology, working on neural network-based models of mechanical systems for adaptive BLDC motor control. With over two years of aerospace electronics experience at Woodward Poland, I combine academic rigor with industry practice.
Research Focus
My doctoral research explores how neural networks can model complex mechanical phenomena — friction, elasticity, hysteresis — and integrate with adaptive controllers for brushless DC motors. The goal: smarter, more resilient motor control that adapts in real-time to changing system conditions.
PhD Candidate — Mechanical Engineering
Cracow University of Technology, Doctoral School
2025 –
Neural network-based models in adaptive BLDC motor control
MSc — Automation & Robotics
Cracow University of Technology
2024 – 2025
Graduated with distinction (5.0)
BSc — Automation & Robotics
Cracow University of Technology
2020 – 2024
Grade: 4.5
Aerospace Electronics Engineer
Woodward Poland
2023 – present
Full-cycle aerospace electronics: schematics & PCB layout in Xpedition, prototyping, testing, production documentation.
Electronics Section Leader
Automation & Robotics Student Society, CUT
2023 – 2025
Led a team designing modular electronics for an anthropomorphic robot — BLDC drivers, power distribution, communication buses, and firmware.
EDA / PCB
Embedded
Simulation
Software