Edge AI ICs: Tenure-Track Professor & Neuromorphic Lead

Karlstad University; Eindhoven; On-site; EUR 55,000 - 85,000; Full time

Benefits offered by this job

8% holiday allowance

8.3% year-end bonus

ABP pension scheme

Mentoring program

Career development track

On-campus child care

Job summary

Eindhoven University of Technology in the Netherlands invites applications for an Assistant Professor in Integrated Circuits to strengthen research and teaching in edge AI computing. You will lead research on energy-efficient analog/mixed-signal CMOS design and open-source methodologies, while mentoring PhD and Master students.

The role blends academic leadership with teaching excellence. The IC group seeks a candidate with a strong track record in hardware accelerators for edge AI, in-sensor

Qualifications

• PhD in Electrical Engineering or related field.
• Experience with IC design implementation in silicon is required.
• Proven ability to lead research programs.
• Ability to teach at undergraduate and graduate levels.
• Experience mentoring students.
• Excellent English communication skills.

Responsibilities

• Lead independent research program focused on energy-efficient CMOS design for edge AI, neuromorphic computing, and in-/near-sensor computing.
• Develop domain-specific architecture and neuromorphic hardware accelerators for edge AI with direct sensor integration.
• Teach undergraduate and graduate courses in integrated circuits, digital design, analog circuits, or neuromorphic computing.
• Supervise PhD and Master's students in research and technical depth.
• Collaborate with industry and other academic groups to establish partnerships for research and internships.

Skills

English proficiency

Leadership

Collaboration

Communication

Education

PhD in Electrical Engineering or related field

Tools

Open-source chip design tools

CMOS design experience

Job description

Eindhoven University of Technology in the Netherlands invites applications for an Assistant Professor in Integrated Circuits to strengthen research and teaching in edge AI computing. You will lead research on energy-efficient analog/mixed-signal CMOS design and open-source methodologies, while mentoring PhD and Master students.

The role blends academic leadership with teaching excellence. The IC group seeks a candidate with a strong track record in hardware accelerators for edge AI, in-sensor