Job Information
Organisation/Company: Istanbul Okan University
Research Field: Engineering » Simulation engineering; Engineering » Control engineering
Researcher Profile: Recognised Researcher (R2)
Positions: Research Support Positions
Application Deadline: 12 Oct 2026 - 17:30 (Europe/Istanbul)
Country: Türkiye
Type of Contract: Temporary
Job Status: Full-time
Hours Per Week: 45
Offer Starting Date: 4 Jan 2027
Is the job funded through the EU Research Framework Programme? Horizon Europe
Is the Job related to staff position within a Research Infrastructure? No
Offer Description
Istanbul Okan University is seeking an Autonomous Vehicle and HIL Simulation Engineer to contribute to advanced R&D projects in connected and autonomous vehicle (CAV/AV) technologies at the Transportation Technologies and Intelligent Systems Application and Research Centre (TTIS), using the OPINA infrastructure.
The successful candidate will work especially on a HORIZON EUROPE funded project Acceptremote, on the verification, validation, virtual development and simulation-based testing of autonomous driving and ADAS functions. The role requires hands-on experience with Hardware-in-the-Loop (HIL) systems, vehicle dynamics simulation, scenario-based testing and data replay methodologies for autonomous vehicle development.
The position offers the opportunity to work within national and international research projects, industry-academia collaborations and advanced simulation and testing infrastructures for next-generation connected, automated and software-defined mobility systems.
Main Responsibilities
- Operate and support HIL, SIL and MIL test environments for autonomous driving and ADAS functions.
- Develop, configure and execute test scenarios using dSPACE HIL systems, including ASM, SCALEXIO and related toolchains.
- Model vehicle, traffic and environmental scenarios using IPG Automotive TruckMaker.
- Integrate sensor models, including camera, radar and LiDAR, as well as actuator models into the simulation environment.
- Support the verification and validation of autonomous driving software through ODD-based tests, scenario-based testing and edge-case analysis.
- Use data collected from autonomous vehicle sensors for data replay on dSPACE HIL systems and prepare realistic test scenarios.
- Develop and maintain test automation, regression testing procedures and performance analysis workflows.
- Provide technical support to ISO 26262, SOTIF and related functional safety and safety validation processes.
- Prepare technical documentation, test reports, validation evidence and project deliverables.
Requirements
Research Field: Engineering » Systems engineering
Education Level: Master Degree or equivalent
Skills/Qualifications
Professional Experience and Technical Skills
- Minimum of 3 years of professional experience in autonomous vehicles, ADAS, vehicle control systems, vehicle simulation or related R&D fields.
- Hands-on working experience with dSPACE HIL systems and/or IPG Automotive TruckMaker.
- Good understanding of vehicle dynamics, control systems and real-time simulation principles.
- Experience with MATLAB/Simulink, C/C++ and/or Python.
- Working knowledge of HIL/SIL/MIL testing, test automation, regression testing and simulation-based validation.
- Basic knowledge of sensor fusion, environment perception or decision-making algorithms is desirable.
- Ability to analyse complex technical problems, document results clearly and prepare structured technical reports.
- Experience with data logging, data replay, sensor datasets and scenario extraction from real-world driving data
- Good command of technical English, both written and spoken.
Specific Requirements
Preferred / Additional Qualifications
- Experience in autonomous vehicle verification and validation methodologies.
- Experience with scenario-based testing, digital twins, cloud-based simulation or large-scale simulation campaigns.
- Experience in Horizon Europe, TÜBİTAK or similar national/international R&D projects.
- Experience in integrating simulation environments with proving grounds, pilot sites or real vehicle test data.
- Familiarity with ISO 26262, ISO 21448 / SOTIF, ODD analysis, functional safety concepts or safety assurance cases.
Languages: ENGLISH, Level: Good
Where to apply
E-mail: orhan.alankus@okan.edu.tr
Work Location(s)
Number of offers available: 1
Company/Institute: Istanbul Okan University
Country: Türkiye
City: Istanbul
Postal Code: 34959
Street: Ballica, Tuzla
Contact
State/Province: Tuzla
City: Istanbul
Street: Ballıca
Postal Code: 34959
E-Mail: cihan.kivanc@okan.edu.tr, orhan.alankus@okan.edu.tr
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