Control Strategy Developer MBD (D/F) 100%

Johnson Electric International AG

Murten

Vor Ort

CHF 90.000 - 150.000

Vollzeit

14 Tage+

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Zusammenfassung

Johnson Electric International AG seeks a Control Strategy Developer with expertise in model-based design for automotive thermal management. You will develop MATLAB/Simulink models, optimize compressor modulation, and implement CAN-integrated control within vehicle software.

The role emphasizes MIL/HIL validation, collaboration with test teams, and exploring AI/ML approaches for future thermal management roadmap. Immediate start, permanent contract, 100% workload in Murten.

Qualifikationen

  • Master's degree in Control Engineering, Electrical/Mechanical Engineering or related field with strong algorithmic/research background.
  • PhD advantageous; strong research depth and problem-solving capability.
  • 5-7+ years in automotive control systems or embedded software.

Aufgaben

  • 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.
  • MIL/HIL validation and CAN integration with vehicle software.
  • Collaborate with test engineers for SIL/HIL validation and roadmap AI/ML exploration.

Kenntnisse

Thermal systems
Vehicle integration
AI / Data science
MBD control
Simulation tools
Project management
Soft skills
Languages: English, German, French

Ausbildung

Master's degree in Control Engineering / related field
PhD advantageous

Tools

MATLAB/Simulink
CAN communication
Model-Based Design

Jobbeschreibung

Control Strategy Developer MBD (D/F) 100%

Johnson Electric International AG Vacant since : 06.08.2026 Number of jobs : 1 3280 Murten (FR) 100% Immediately Permanent

GENERAL MISSION

Develop model-based design (MBD) control strategies for thermal system management. Optimize compressor capacitymodulation, 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 fieldUniversity 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 integrationOEM 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 dynamicsVehicle Integration - 8/10 - CAN communication, OBD-II signals, embedded software interfacesAI/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 machinesSimulation Tools - 10/10 - MATLAB/Simulink mastery, COMSOL (optional), system modeling expertiseUniversity Quality - 8-10/10 - PhD or strong research background provides algorithmic depthProject 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 teamsLanguages - 10/10 - English (mandatory) , German+, French

Technical Knowledge Areas:Control Theory: PID control, state-space control, optimal control, adaptive algorithmsMATLAB/Simulink: Stateflow (finite state machines), Simulink model architecture, code generation

Work location
  • 3280 Murten (FR)
Workload
  • 100%
Employment start
  • Immediately
Employment duration
  • Permanent
Work experience
  • More than 3 years
Education
  • Master’s degree from a university or equivalent
English
  • Orally : Very good knowledge Written : Good knowledge
German
  • Orally : Very good knowledge Written : Good knowledge
French
  • Orally : Very good knowledge Written : Good knowledge
By email
  • ines.da.silva@johnsonelectric.com
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