Controls & Simulation Engineer ? BEV/48V Hybrid Powertrains | MATLAB/Simulink, GT-Power | Virtual Test Platforms | 12+ Years Automotive R&D
Aktualisiert am 27.07.2026
Profil
Freiberufler / Selbstständiger
Remote-Arbeit
Verfügbar ab: 01.08.2026
Verfügbar zu: 100%
davon vor Ort: 50%
BEV & 48V Hybrid Powertrain Controls
Python Based Test Automation
Model Based Development (MATLAB/Simulink)
Model-Based Development (MBD)
Python (Data Analysis/ML)
Rapid Control Prototyping (RCP)
ECU Software Development
Cross-Functional Team Leadership
OBD Compliance (Euro 6D/Euro 7)
Lean NOx Trap / SCR Aftertreatment Systems
Machine Learning for Fault Estimation
Virtual Test Platforms / HIL Testing
Emissions Controls Engineering
Powertrain Systems Engineering
Battery Electric Vehicle (BEV) Development
48V Hybrid Systems
Physico-Chemical System Modeling
Vehicle Thermal Management
Requirements Engineering (Automotive)
Agile/SAFe Program Management
Project Management (PMP®)
Patent Development & IP Strategy
C(Embedded/Controls)
German
fluent
English
fluent
Tamil
native

Einsatzorte

Einsatzorte

Aachen (+100km) Frankfurt am Main (+50km) Stuttgart (+50km) Munich (+50km) Berlin (+50km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

9 years
2016-10 - 2025-09

Propulsion Controls (48V Hybrid & BEV)

Research Engineer ? Propulsion Controls Model-Based Development Rapid Control Prototyping Machine Learning/Diagnostics ...
Research Engineer ? Propulsion Controls
  • Virtual Test Platforms & System Modelling (MIL/SIL): Led model-based development of new control functions for 48V hybrid and BEV systems using MATLAB/Simulink and TargetLink ? including thermal and electrical system characterisation, with continuous model reconciliation against real measurement data across 4 internal departments.
  • Rapid Control Prototyping (RCP): Physically validated new control strategies under real vehicle conditions using dSpace hardware and Arduino ? compressing iteration cycles for 3 consecutive programmes from several weeks to under 5 days.
  • SDV & Cloud Integration: Architected and implemented WebSocket communication protocols in Python for real-time data exchange between vehicle ECUs and cloud platforms (GCP) ? enabling simultaneous remote monitoring of 5 prototype vehicles.
  • Machine Learning Integration: Developed and validated PyTorch deep-learning models for time-series sensor-data prediction ? reducing false-positive fault flags in BEV perception and data-fusion tasks by approximately 20% vs. the rule-based reference system.
  • Cross-Functional Leadership & ISO 26262: Coordinated complex system integration tests across global departments (Aachen, Dearborn, Dunton); ensured functional safety compliance (ASIL B/C) and on-time delivery ? cross-functional rework rate reduced by approximately 30%. Ford Engineering Excellence Team Award 2020.
MATLAB/Simulink TargetLink dSPACE Python PyTorch ONNX GCP ATI Vision CANalyzer CAN-Bus Autobox
Model-Based Development Rapid Control Prototyping Machine Learning/Diagnostics ISO 26262 Compliance Cloud Integration New function development
Ford Werke GmbH, Aachen
Research & Advanced Engineering
1 year 7 months
2015-03 - 2016-09

Powertrain Controls, Aftertreatment

Research Engineer Model-Based Development Emissions Controls (NOx/NH3 FGNOx) ...
Research Engineer
  • Developed model-based control functions for LNT-SCR aftertreatment systems in MATLAB/ Simulink ? NOx/NH3 recirculation, FGNOx corrections, and SCR-SDPF LP-EGR interactions across 3 system variants.
  • OBD compliance evaluation (EOBD, ULEV125) for 4 system configurations including systematic requirements traceability; documentation adopted as team audit standard.
  • Technical analysis contributed to 2 of 3 subsequently granted Ford patents on NOx emission-control strategies.
MATLAB/Simulink EOBD ULEV125
Model-Based Development Emissions Controls (NOx/NH3 FGNOx) OBD Compliance Requirements Traceability
Ford Werke GmbH, Aachen
Ford Research & Advanced Engineering
7 months
2013-10 - 2014-04

Preparation of the master's thesis

Masterand 1D Physico-Chemical System Modelling Model Calibration & Validation Sensitivity Analysis ...
Masterand
Master's thesis topic: upon request
  • Developed a physico-chemical 1D model of an integrated SCR-DPF exhaust aftertreatment system in GT-Power and AXISUITE - modelling reaction kinetics, heat transfer, and mass transport.
  • Parametrised and calibrated the model against test-bench measurement data across 8 operating points; sensitivity analysis of key model parameters with discussion of model limitations.
  • Compared and validated model results between GT-Power and AXISUITE; identified systematic deviations and derived model improvement measures.
  • Physico-Chemical Modelling of an SCR-DPF System
1D Physico-Chemical System Modelling Model Calibration & Validation Sensitivity Analysis GT-Power AXISUITE
IAV GmbH
Gifhorn
6 months
2013-04 - 2013-09

Powertrain research, exhaust aftertreatment

Engineering Intern Reaction-Kinetics Modelling Model Benchmarking & Validation 1-d Modelling & Simulation
Engineering Intern
  • Benchmarked SCR catalyst reaction-kinetics models across AVL Boost, BASF CatSim, and GT-Power; identified a 12% variance in conversion efficiency prediction
  • Calibrated and validated physico-chemical models of integrated SCR-DPF systems against test-bench results
AVL Boost BASF CatSim GT-Power
Reaction-Kinetics Modelling Model Benchmarking & Validation 1-d Modelling & Simulation
MAN Trucks & Bus AG
Nuremberg

Aus- und Weiterbildung

Aus- und Weiterbildung

2 years 6 months
2012-02 - 2014-07

Studie - Automotive Engineering

Master of Engineering, Technische Hochschule Ingolstadt (Germany)
Master of Engineering
Technische Hochschule Ingolstadt (Germany)
3 years 9 months
2007-09 - 2011-05

Studie - Mechanical Engineering

Bachelor of Engineering, Hindustan College of Engineering/ Anna University, Chennai (India)
Bachelor of Engineering
Hindustan College of Engineering/ Anna University, Chennai (India)

Position

Position

Senior Research Engineer (R&D) | Controls, AI & Virtual Platforms | PMP®

Kompetenzen

Kompetenzen

Top-Skills

BEV & 48V Hybrid Powertrain Controls Python Based Test Automation Model Based Development (MATLAB/Simulink) Model-Based Development (MBD) Python (Data Analysis/ML) Rapid Control Prototyping (RCP) ECU Software Development Cross-Functional Team Leadership OBD Compliance (Euro 6D/Euro 7) Lean NOx Trap / SCR Aftertreatment Systems Machine Learning for Fault Estimation Virtual Test Platforms / HIL Testing Emissions Controls Engineering Powertrain Systems Engineering Battery Electric Vehicle (BEV) Development 48V Hybrid Systems Physico-Chemical System Modeling Vehicle Thermal Management Requirements Engineering (Automotive) Agile/SAFe Program Management Project Management (PMP®) Patent Development & IP Strategy C(Embedded/Controls)

Produkte / Standards / Erfahrungen / Methoden

PROFILE
Senior Research Engineer and Technical Lead with over 12 years of OEM experience in applied modelling, rapid prototyping, and experimental validation of complex electro-thermal systems and advanced vehicle architectures. PMP-certified, with a track record of cross-functional programme delivery across global R&D teams ? bridging classical automotive hardware development with the modern Software-Defined Vehicle (SDV) and AI stack. Deep proficiency in model-based development (MATLAB/Simulink) and deploying data-driven solutions (PyTorch, ONNX) optimised for edge deployment. Co-inventor of 3 granted patents (US & Germany) across emissions control and aftertreatment systems.

SKILLS & METHODS
  • Modelling
    • MATLAB/Simulink, TargetLink, GT-Power, AXISUITE, physico-chemical 1D system models, Parameterization & Validation, MIL/SIL/HIL
  • Data & Analytics
    • Time-series analysis, deep learning diagnostic algorithms, real-time data pipelines (WebSockets, GCP, PostgreSQL)
  • Instrumentation
    • dSpace ControlDesk, ATI Vision, Vector CANalyzer, KVASER
  • Vehicle Systems
    • BEV & 48V hybrid architectures, CAN/LIN/RS485, ISO 26262 (ASIL B/C), FMEA, Systematic test documentation
  • Project & Tools
    • ?PMP (May 2026), SAFe 6 (Certified Agilist), JIRA, Git, SharePoint, MS Office

Programmiersprachen

  • Python (NumPy, Pandas, PyTorch ? time-series models, state estimation)
  • C
  • Arduino

Einsatzorte

Einsatzorte

Aachen (+100km) Frankfurt am Main (+50km) Stuttgart (+50km) Munich (+50km) Berlin (+50km)
Deutschland, Schweiz, Österreich
möglich

Projekte

Projekte

9 years
2016-10 - 2025-09

Propulsion Controls (48V Hybrid & BEV)

Research Engineer ? Propulsion Controls Model-Based Development Rapid Control Prototyping Machine Learning/Diagnostics ...
Research Engineer ? Propulsion Controls
  • Virtual Test Platforms & System Modelling (MIL/SIL): Led model-based development of new control functions for 48V hybrid and BEV systems using MATLAB/Simulink and TargetLink ? including thermal and electrical system characterisation, with continuous model reconciliation against real measurement data across 4 internal departments.
  • Rapid Control Prototyping (RCP): Physically validated new control strategies under real vehicle conditions using dSpace hardware and Arduino ? compressing iteration cycles for 3 consecutive programmes from several weeks to under 5 days.
  • SDV & Cloud Integration: Architected and implemented WebSocket communication protocols in Python for real-time data exchange between vehicle ECUs and cloud platforms (GCP) ? enabling simultaneous remote monitoring of 5 prototype vehicles.
  • Machine Learning Integration: Developed and validated PyTorch deep-learning models for time-series sensor-data prediction ? reducing false-positive fault flags in BEV perception and data-fusion tasks by approximately 20% vs. the rule-based reference system.
  • Cross-Functional Leadership & ISO 26262: Coordinated complex system integration tests across global departments (Aachen, Dearborn, Dunton); ensured functional safety compliance (ASIL B/C) and on-time delivery ? cross-functional rework rate reduced by approximately 30%. Ford Engineering Excellence Team Award 2020.
MATLAB/Simulink TargetLink dSPACE Python PyTorch ONNX GCP ATI Vision CANalyzer CAN-Bus Autobox
Model-Based Development Rapid Control Prototyping Machine Learning/Diagnostics ISO 26262 Compliance Cloud Integration New function development
Ford Werke GmbH, Aachen
Research & Advanced Engineering
1 year 7 months
2015-03 - 2016-09

Powertrain Controls, Aftertreatment

Research Engineer Model-Based Development Emissions Controls (NOx/NH3 FGNOx) ...
Research Engineer
  • Developed model-based control functions for LNT-SCR aftertreatment systems in MATLAB/ Simulink ? NOx/NH3 recirculation, FGNOx corrections, and SCR-SDPF LP-EGR interactions across 3 system variants.
  • OBD compliance evaluation (EOBD, ULEV125) for 4 system configurations including systematic requirements traceability; documentation adopted as team audit standard.
  • Technical analysis contributed to 2 of 3 subsequently granted Ford patents on NOx emission-control strategies.
MATLAB/Simulink EOBD ULEV125
Model-Based Development Emissions Controls (NOx/NH3 FGNOx) OBD Compliance Requirements Traceability
Ford Werke GmbH, Aachen
Ford Research & Advanced Engineering
7 months
2013-10 - 2014-04

Preparation of the master's thesis

Masterand 1D Physico-Chemical System Modelling Model Calibration & Validation Sensitivity Analysis ...
Masterand
Master's thesis topic: upon request
  • Developed a physico-chemical 1D model of an integrated SCR-DPF exhaust aftertreatment system in GT-Power and AXISUITE - modelling reaction kinetics, heat transfer, and mass transport.
  • Parametrised and calibrated the model against test-bench measurement data across 8 operating points; sensitivity analysis of key model parameters with discussion of model limitations.
  • Compared and validated model results between GT-Power and AXISUITE; identified systematic deviations and derived model improvement measures.
  • Physico-Chemical Modelling of an SCR-DPF System
1D Physico-Chemical System Modelling Model Calibration & Validation Sensitivity Analysis GT-Power AXISUITE
IAV GmbH
Gifhorn
6 months
2013-04 - 2013-09

Powertrain research, exhaust aftertreatment

Engineering Intern Reaction-Kinetics Modelling Model Benchmarking & Validation 1-d Modelling & Simulation
Engineering Intern
  • Benchmarked SCR catalyst reaction-kinetics models across AVL Boost, BASF CatSim, and GT-Power; identified a 12% variance in conversion efficiency prediction
  • Calibrated and validated physico-chemical models of integrated SCR-DPF systems against test-bench results
AVL Boost BASF CatSim GT-Power
Reaction-Kinetics Modelling Model Benchmarking & Validation 1-d Modelling & Simulation
MAN Trucks & Bus AG
Nuremberg

Aus- und Weiterbildung

Aus- und Weiterbildung

2 years 6 months
2012-02 - 2014-07

Studie - Automotive Engineering

Master of Engineering, Technische Hochschule Ingolstadt (Germany)
Master of Engineering
Technische Hochschule Ingolstadt (Germany)
3 years 9 months
2007-09 - 2011-05

Studie - Mechanical Engineering

Bachelor of Engineering, Hindustan College of Engineering/ Anna University, Chennai (India)
Bachelor of Engineering
Hindustan College of Engineering/ Anna University, Chennai (India)

Position

Position

Senior Research Engineer (R&D) | Controls, AI & Virtual Platforms | PMP®

Kompetenzen

Kompetenzen

Top-Skills

BEV & 48V Hybrid Powertrain Controls Python Based Test Automation Model Based Development (MATLAB/Simulink) Model-Based Development (MBD) Python (Data Analysis/ML) Rapid Control Prototyping (RCP) ECU Software Development Cross-Functional Team Leadership OBD Compliance (Euro 6D/Euro 7) Lean NOx Trap / SCR Aftertreatment Systems Machine Learning for Fault Estimation Virtual Test Platforms / HIL Testing Emissions Controls Engineering Powertrain Systems Engineering Battery Electric Vehicle (BEV) Development 48V Hybrid Systems Physico-Chemical System Modeling Vehicle Thermal Management Requirements Engineering (Automotive) Agile/SAFe Program Management Project Management (PMP®) Patent Development & IP Strategy C(Embedded/Controls)

Produkte / Standards / Erfahrungen / Methoden

PROFILE
Senior Research Engineer and Technical Lead with over 12 years of OEM experience in applied modelling, rapid prototyping, and experimental validation of complex electro-thermal systems and advanced vehicle architectures. PMP-certified, with a track record of cross-functional programme delivery across global R&D teams ? bridging classical automotive hardware development with the modern Software-Defined Vehicle (SDV) and AI stack. Deep proficiency in model-based development (MATLAB/Simulink) and deploying data-driven solutions (PyTorch, ONNX) optimised for edge deployment. Co-inventor of 3 granted patents (US & Germany) across emissions control and aftertreatment systems.

SKILLS & METHODS
  • Modelling
    • MATLAB/Simulink, TargetLink, GT-Power, AXISUITE, physico-chemical 1D system models, Parameterization & Validation, MIL/SIL/HIL
  • Data & Analytics
    • Time-series analysis, deep learning diagnostic algorithms, real-time data pipelines (WebSockets, GCP, PostgreSQL)
  • Instrumentation
    • dSpace ControlDesk, ATI Vision, Vector CANalyzer, KVASER
  • Vehicle Systems
    • BEV & 48V hybrid architectures, CAN/LIN/RS485, ISO 26262 (ASIL B/C), FMEA, Systematic test documentation
  • Project & Tools
    • ?PMP (May 2026), SAFe 6 (Certified Agilist), JIRA, Git, SharePoint, MS Office

Programmiersprachen

  • Python (NumPy, Pandas, PyTorch ? time-series models, state estimation)
  • C
  • Arduino

Vertrauen Sie auf Randstad

Im Bereich Freelancing
Im Bereich Arbeitnehmerüberlassung / Personalvermittlung

Fragen?

Rufen Sie uns an +49 89 500316-300 oder schreiben Sie uns:

Das Freelancer-Portal

Direktester geht's nicht! Ganz einfach Freelancer finden und direkt Kontakt aufnehmen.