General Mission
The primary objective is to develop model-based design (MBD) control strategies for effective thermal system management. This role focuses on optimizing compressor capacity modulation, mode switching, and enhancing energy efficiency through advanced algorithms and real-time vehicle integration.
Key Responsibilities
- Develop MATLAB/Simulink control system models and algorithms.
- Design compressor capacity modulation strategies for optimal cooling and heating.
- Optimize mode switching logic between cooling, heating, and defrost functions.
- Manage energy requirements for electric vehicles, specifically in battery thermal conditioning.
- Conduct Model-in-the-loop (MIL) and Hardware-in-the-loop (HIL) validation.
- Integrate control algorithms with vehicle embedded software via CAN communication.
- Collaborate closely with test engineers for SIL/HIL validation processes.
- Explore and evaluate AI/ML approaches for intelligent thermal management as part of the future roadmap.
Education & Qualifications
Minimum: Master's degree in Control Engineering, Electrical Engineering, Mechanical Engineering, or a related field.
University Quality: 8-10/10 (a strong algorithmic and research background is highly valued).
Specialization: Control Systems, Model-Based Design, Embedded Systems, Machine Learning (optional).
PhD advantageous: Demonstrates depth in research and capability in addressing complex problems.
Experience Requirements
- Years: 5-7+ years in automotive control systems or embedded software development.
- Background: Involvement in at least 2 major thermal/powertrain control projects using MATLAB/Simulink.
- Technical Focus: Experience in control algorithm development, SIL/HIL validation, and vehicle-level software integration.
- OEM or Tier 1 Experience: Companies such as Bosch, Continental, Marelli, VW/Audi electronics, or equivalent.
Core Competencies
- Technical Competency - Required - Score:
- Thermal Systems - 8/10 - Solid understanding of HVAC components, refrigerant cycles, and thermal dynamics.
- Vehicle Integration - 8/10 - Proficient in CAN communication, OBD-II signals, and embedded software interfaces.
- AI/Data Science - 9/10 - Experienced in machine learning (Python/TensorFlow), data analysis, and optimization algorithms.
- Transversal Knowledge - Required - Score:
- MBD Control - 8/10 - Proficient in MATLAB/Simulink model development, control block diagrams, and state machines.
- Simulation Tools - 10/10 - Expertise in MATLAB/Simulink, with additional knowledge of COMSOL being optional.
- University Quality - 8-10/10 - A PhD or a strong research background adds algorithmic depth.
- Project Management - 7/10 - Experience in managing SIL/HIL schedules, coordinating cross-functional teams, and tracking deliverables.
- Soft Skills - Required - Score:
- Communication Skills - 8/10 - Competent in delivering technical presentations to development and OEM teams.
- Languages - 10/10 - Proficiency in English (mandatory), with German or French being a plus.
Technical Knowledge Areas
- Control Theory: PID control, state-space control, optimal control, adaptive algorithms.
- MATLAB/Simulink: Stateflow (finite state machines), Simulink model architecture, and code generation.
Apply online using the form below. Please note that only applications matching the job profile will be considered.