Ph.D. Candidate

**Job Description**
We are seeking a highly motivated Ph.D. candidate to join a research team focusing on mixed-signal IC design and the implementation of physics-based computing paradigms. The successful candidate will work on the design and implementation of Oscillatory Neural Networks (ONNs) for physics-based computing applications, as an integral part of the prestigious ERC Consolidator Grant, THERMODON. This project aims to explore and exploit the potential of ONNs in embedding graph-based problems, particularly those known to be challenging for classical computing architectures.

**Skills & Abilities**
• Strong background in circuit design.
• Experience with the IC design tapeout flow.
• Clear communication, both written and verbal.

**Qualifications**
Required Degree(s) in:
• Electrical Engineering

**Experience**
Other:
• Strong background in circuit design
• Experience with the IC design tapeout flow

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