Research Associate/Research Fellow (AI-Assisted Chip Design for Automotive Applications)
Research Associate/Research Fellow (AI-Assisted Chip Design for Automotive Applications)
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Job Description
The Continental-NTU Corp Lab is a strategic research collaboration between NTU and Continental focusing on developing technically advanced solutions in the areas such as sustainable materials engineering artificial intelligence advanced communications and cybersecurity capabilities for future urban mobility applications. We aim to develop innovative solutions that can be commercialized into products and services for Continental through close collaboration with its business units.
In this job opening we are seeking a highly motivated and visionary researcher to join our team focused on heterogeneous integration and security of chiplet-based IC systems. This role involves research and development in AI-assisted design for chiplet-oriented architectures aiming to demonstrate secure intelligent computing platforms outperforms traditional compute platforms. We invite applicants to join us as a Research Fellow or Senior Researcher (full-time). You will be part of the Continental-NTU Corporate Lab research team.
Key Responsibilities:
Research and develop AI-assisted EDA methodologies for IC and heterogeneous chiplet design security and cryptographic primitive integration and architecture optimization.
Focus on AI-assisted secure IC design with domain adapted LLM ML in front-end design simulation tools for chiplet-based/oriented prototypes
Investigate and apply AI principles for IC design RTL synthesis partitioning and verification automation.
Integrate open-source and commercial tools (e.g. SpinalHDL) to build proof-of-concept design flows
Building data pipelines for learning and knowledge acquisition knowledge augmentation for domain adapted LLM and knowledge management
Design AI-guided decision-making pipelines to assist in security-aware architecture generation and vulnerability mitigation (e.g. hardware trojans side-channel exposure).
Co-develop testbenches for hardware simulations and chiplet-level threat modelling.
Collaborate closely with FPGA and IC prototyping teams to deploy AI-optimized designs on hardware.
Publish research outcomes with the team in leading conferences and journals in AI EDA and hardware security.
Contribute to white papers and strategic planning documents for long-term roadmap development.
Job Requirements:
MSc or PhD in Electrical Engineering Electronics Engineering AI Chip Design Computer Science Cybersecurity or a related field
Proven experience with HW/SW Co-Design FPGA development and hardware prototyping
Strong understanding of digital design principles and embedded systems
Experience with EDA tools chip design flows and IC system modeling.
Proven expertise in AI/ML for systems or hardware co-design including use of reinforcement learning LLMs graph-based optimization or agentic AI.
Familiarity with security concepts and cryptographic implementations in IC/SoC design e.g. post-quantum primitives and hardware implementations TEE/RoT.
Track record of research publications in top-tier venues is strongly preferred.
Strong analytical and problem-solving abilities
Demonstrated ability to work across interdisciplinary and diverse teams ideally with experience in project planning and management
Excellent collaborative and communication skills in English for research purposes
Good communication and presentation skills fluency in multiple languages is a plus
We regret that only shortlisted candidates will be notified.
Hiring Institution: NTURequired Experience:
IC
Employment Type
Full-Time
