Company: Johnson Electric International AG
Country: Switzerland
Type: Onsite
Employment: Full-time
Description: GENERAL MISSION
Develop model-based design (MBD) control strategies for thermal system management. Optimize compressor capacity
modulation, mode switching, and energy efficiency through advanced algorithms and real-time vehicle integration.
KEY RESPONSIBILITIES
● Develop MATLAB/Simulink control system models and algorithms
● Design compressor capacity modulation strategy for optimal cooling/heating
● Optimize mode switching logic (cooling ↔ heating ↔ defrost)
● Energy management for electric vehicle (battery thermal conditioning)
● Model-in-the-loop (MIL) and hardware-in-the-loop (HIL) validation
● Integrate control algorithms with vehicle embedded software (CAN communication)
● Collaborate with test engineers for SIL/HIL validation
● Evaluate AI/ML approaches for intelligent thermal management (future roadmap)
EDUCATION & QUALIFICATIONS
Minimum: Master's degree in Control Engineering, Electrical Engineering, Mechanical Engineering, or related field
University Quality: 8-10/10 (strong algorithmic and research background valued)
Specialization: Control Systems, Model-Based Design, Embedded Systems, Machine Learning (optional)
PhD advantageous: Demonstrates research depth and complex problem-solving capability
EXPERIENCE REQUIREMENTS
Years: 5-7+ years in automotive control systems or embedded software development
Background: Minimum 2 major thermal/powertrain control projects with MATLAB/Simulink
Technical Focus: Control algorithm development, SIL/HIL validation, vehicle-level software integration
OEM or Tier1 Experience: Bosch, Continental, Marelli, VW/Audi electronics, or equivalent
Core Competencies (Score Required):
Technical Competency - Required - Evidence :
Thermal Systems - 8/10 - Understanding of HVAC components, refrigerant cycles, thermal dynamics
Vehicle Integration - 8/10 - CAN communication, OBD-II signals, embedded software interfaces
AI/Data Science - 9/10 - Machine learning (Python/TensorFlow), data analysis, optimization algorithms
Transversal Knowledge - Required - Evidence :
MBD Control - 8/10 - MATLAB/Simulink model development, control block diagrams, state machines
Simulation Tools - 10/10 - MATLAB/Simulink mastery, COMSOL (optional), system modeling expertise
University Quality - 8-10/10 - PhD or strong research background provides algorithmic depth
Project Management - 7/10 - SIL/HIL schedule, cross-functional coordination, deliverable tracking
Soft Skills - Required - Evidence :
Communication skills - 8/10 - Technical presentations to development and OEM teams
Languages - 10/10 - English (mandatory) , German+, French
Technical Knowledge Areas:
Control Theory: PID control, state-space control, optimal control, adaptive algorithms
MATLAB/Simulink: Stateflow (finite state machines), Simulink model architecture, code generation
Apply here:
Web: Apply here
Emails: ines.da.silva@johnsonelectric.com
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