PhD: FPGA/ASIC Edge Hardware for Physics-Informed AI

1000scholars; Eindhoven; On-site; EUR 36,000 - 45,000; Full time

Job summary

TU/e Eindhoven invites applications for a four-year PhD position focused on physics-informed AI hardware accelerators, combining FPGA/ASIC design with AI methods. You will work within a multidisciplinary team on campus in Brainport Eindhoven, contributing to demonstrators and industry collaborations.

The role includes teaching tasks, collaboration with industrial partners, and access to extensive training. Compensation follows the Dutch Universities CAO with holiday allowance and bonus.

Qualifications

• Master’s degree or equivalent university degree.
• Research-oriented attitude.
• Ability to work in an interdisciplinary team and collaborate with industrial partners.
• Motivated to develop your teaching skills and coach students.
• Fluent in spoken and written English (C1 level).
• Experience with FPGA/ASIC development and hardware description languages.
• Experience with machine learning, signal processing, and AI accelerators.
• Programming experience in Python and/or C/C++.

Responsibilities

• Investigate hardware architectures for physics-informed AI models on FPGA/ASIC and edge deployment.
• Explore mapping of hybrid model-based and learning-based algorithms onto reconfigurable hardware.
• Collaborate with the EE department and contribute to the NWO OTP project and demonstrators.
• Contribute to design methodologies and hardware architectures for physics-informed AI techniques.

Skills

Interdisciplinary collaboration

Teaching and mentoring

English proficiency

Research-oriented

FPGA/ASIC development

HDL (VHDL/Verilog)

Python/C++ programming

Machine learning and AI accelerators

Education

Master's degree or equivalent

Tools

FPGA/ASIC development

HDL (VHDL/Verilog)

Job description

TU/e Eindhoven invites applications for a four-year PhD position focused on physics-informed AI hardware accelerators, combining FPGA/ASIC design with AI methods. You will work within a multidisciplinary team on campus in Brainport Eindhoven, contributing to demonstrators and industry collaborations.

The role includes teaching tasks, collaboration with industrial partners, and access to extensive training. Compensation follows the Dutch Universities CAO with holiday allowance and bonus.