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 vehicles (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 a 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 of 2 major thermal/powertrain control projects with MATLAB/Simulink.
Technical Focus: Control algorithm development, SIL/HIL validation, vehicle-level software integration.
OEM or Tier 1 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.
APPLICATION PROCESS
Apply online using the form below. Only applications matching the job profile will be considered.
Work locationMurten, Switzerland