PhD Position in Hybrid AI Modeling of Electronic Components, RWTH Aachen University, Germany

Summary

The RWTH Aachen University Chair of Electronic Devices seeks a motivated PhD candidate to work on the project "Hybrid‑AI Modeling of Next‑Generation Electronic Components". The research combines physics‑based modeling with machine learning to understand charge transport in 2D‑material based devices for future AI applications. The role includes developing simulation models, integrating finite‑volume and physics‑informed AI methods, validating against experiments, publishing results, and supporting teaching activities. The position is a full‑time, initially one‑year contract (extendable to five years) with a salary classified as EG 13 TV‑L and offers a PhD opportunity, flexible working hours, and a family‑friendly environment. Fluency in English is required, German is advantageous.

Key Facts

About the Project

The project aims to develop hybrid AI‑enhanced models for electronic components made from two‑dimensional materials. By coupling physics‑based charge‑transport simulations with data‑driven AI techniques, the research will uncover the physical mechanisms of novel devices, enable efficient design of energy‑saving electronics, and validate models through experiments on 2D materials. Outcomes will be disseminated via peer‑reviewed publications and conference presentations.

Key Responsibilities

• Develop efficient charge‑transport models for simulation of electronic components
• Integrate classical finite‑volume methods with physics‑informed AI approaches
• Validate models against experimental data from 2D materials and devices
• Investigate switching mechanisms of novel components
• Publish results in scientific journals and present at conferences
• Coordinate with internal and external project partners
• Support teaching: assist lectures, conduct tutorials, supervise labs and exams
• Supervise student projects and theses

Required Skills

• High scientific curiosity and independence
• Creativity and self‑motivation
• Interest in combining experimental and theoretical work
• Experience with electronic components, nanotechnology or 2D semiconductors (advantageous)
• Experience with machine learning/AI or numerical simulation methods (advantageous)
• Team player with agile, cooperative mindset in an international team
• Excellent written and spoken English (fluent)
• German language skills are a plus

Who Should Apply

Candidates with an excellent master’s degree (or equivalent) in materials science, electrical engineering, information technology, physics or a related field, who are curious, independent, and motivated to combine experimental and theoretical work. Experience with electronic components, nanotechnology, 2D semiconductors, machine learning or numerical simulation is advantageous. Strong English communication skills and a willingness to work in an international, collaborative team are essential.

Benefits

• Full‑time position with possibility of part‑time
• Flexible working hours
• Family‑friendly environment certified by RWTH
• Access to university health and sports programs
• Salary according to TV‑L EG 13
• Promotion (PhD) opportunity
• Initial contract of 1 year, extendable up to 5 years

About the Employer

The Chair of Electronic Devices at RWTH Aachen University conducts research in micro‑ and nano‑electronics, focusing on hardware for energy‑efficient electronics, artificial intelligence and quantum technologies. The group works at the interface of engineering and natural sciences, developing innovative materials and device concepts within an international network of universities and industry partners. RWTH Aachen is a family‑friendly university offering extensive health, counseling and preventive services.

Frequently Asked Questions

What is the application deadline?

31 December 2026