Assistant Professor in Integrated Circuits for Edge AI

Technical University Eindhoven; Eindhoven; Hybrid; EUR 70,000 - 90,000; Full time

Benefits offered by this job

Holiday allowance 8%

Year-end bonus 8.3%

ABP pension scheme

Parental leave

Commuting allowance

Mental health support

Job summary

Technische Universiteit Eindhoven in Eindhoven seeks an Assistant Professor in Integrated Circuits to strengthen research and teaching in edge AI computing. The role focuses on energy-efficient analog and mixed-signal CMOS design, open-source methodologies, and hardware accelerators for edge AI.

You will lead an independent program, secure funding, and contribute to teaching within the IC group and EE department.

Qualifications

• PhD in Electrical Engineering, Computer Engineering, or comparable domain.
• Strong background in energy-efficient analog/mixed-signal CMOS design.
• Excellent command of English (verbal and written).

Responsibilities

• Establish and lead an independent research program on energy-efficient CMOS design for edge AI.
• Develop domain-specific architecture and neuromorphic accelerators for edge AI.
• Design RTL implementations and digital accelerators for neuromorphic workloads.
• Conduct analog-digital co-design and multi-project wafer runs; silicon validation.
• Promote open-source chip design methodologies and tools.
• Supervise and mentor students at various levels.
• Collaborate with industry and academia to form partnerships and internships.

Skills

English proficiency

Research leadership

Collaboration

Education

PhD in Electrical Engineering or related field

Tools

Open-source design tools

Job description

Assistant Professor in Integrated Circuits for Edge AI

Personal type: Scientific staff

Field of expertise: Assistant Professor

Organisation: Department of Electrical Engineering

Do you aspire to lead a research team, teach the next generation of engineers and are you ready to bridge the gap between innovative circuit design and practical edge AI applications?

Introduction

The Department of Electrical Engineering , Integrated Circuits (IC) group is seeking an Assistant Professor in Integrated Circuits to strengthen our research and teaching in edge AI computing. We are looking for a researcher with expertise in energy-efficient analog and mixed-signal CMOS design, open-source chip design methodologies, and hardware accelerators for edge AI. This is a tenured position offering the opportunity to establish an independent, innovative research program while contributing to teaching and mentoring within the IC group and the EE department.

You will lead research on energy-efficient computing solutions such as neuromorphic, bio-inspired, and emerging computing paradigms for edge AI, with particular emphasis on in-sensor and near-sensor processing, low-power analog/digital/mixed-signal design, and open-source design tools and methodologies. The ideal candidate will combine deep expertise in circuit design with a commitment to accessible, reproducible research and a strong vision for advancing computing paradigms beyond conventional approaches. Edge AI computing will enable the deployment of energy-efficient and scalable applications across smart systems, robotics, mobility, healthcare, high-tech systems, among others. You will secure competitive national and European funding and collaborate closely with industry and academic partners to develop transformative technologies for edge computing.

The Integrated Circuits group

This position is embedded in the Integrated Circuits group within the Department of Electrical Engineering at Eindhoven University of Technology (TU/e). Our IC group consists of four full professors, four associate professors, five assistant professors, three support staff and many PhDs, PostDoc and EngD students. The IC group is world-renowned for its research on advanced integrated circuit design with a strong track record in analog and mixed-signal IC development. The group has established expertise in RF/IF/LF circuit design for wireless application, sensor frontends, and computing systems with significant industrial partnerships. The IC group actively collaborates with university research centers and institutes especially the Casimir Institute . The IC group is a multi-cultural and diverse team.

This position represents an exciting opportunity to join IC group’s NanoComputing Research Lab and expand our growing research portfolio of novel computing paradigms for edge AI and neuromorphic computing. The successful candidate will strengthen the lab's capabilities in energy-efficient analog/mixed-signal design while establishing new research directions in open-source chip design methodologies, in-sensor processing, and hardware acceleration for edge AI. This growth will complement the group's existing research, industrial partnerships and create new synergies across the department, research centers and institutes.

Job Description

Research Leadership

• Establish and lead an independent research program focused on energy-efficient CMOS design for edge AI, neuromorphic computing, and in-sensor/near-sensor computing.
• Develop domain-specific architecture and neuromorphic hardware accelerators for edge AI with emphasis on in-sensor/near-sensor processing architectures with direct sensor integration.
• Design and optimize RTL implementations and digital accelerator designs for neuromorphic and edge AI workloads, including mapping of algorithms to hardware.
• Conduct analog-digital co-design and mixed-signal SoC integration, combining custom analog signal conditioning with digital processing engines.
• Establish comprehensive design and validation flows encompassing layout and physical design, FPGA and ASIC prototyping, multi-project wafer (MPW) runs, and silicon measurement and characterization.
• Develop and promote open-source chip design methodologies and tools for accessible, reproducible research in integrated circuits.
• Supervise and mentor students, bachelors, masters, PhDs, EngDs and Post-Docs.
• Collaborate with faculty and experts across disciplines and industry.

Teaching & Curriculum

• Teach undergraduate and graduate courses in integrated circuits, digital design, analog circuits, or neuromorphic computing (as appropriate to departmental needs).
• Support existing curriculum and help develop innovative course(s) in emerging areas of circuit design and edge AI.
• Supervise PhD and Master's students in research and technical depth.
• Contribute and supervise to bachelor end projects and master graduation end projects.

Service & Professional Contributions

• Contribute to professional communities through conference organization, journal editorship, or reviewing.
• Engage with industry and other academic groups to establish partnerships for research and student internships.

In this role, you will contribute to the ambition of the Beethoven program to educate top talent and strengthen research across the fields of Science, Technology, Engineering, and Mathematics (STEM).

Job Requirements

• Motivated researcher, with a PhD in Electrical Engineering, Computer Engineering, or a comparable domain.
• Experience with IC design implementation in Silicon of digital and/or mixed signal circuits, including multiple successful tapeout and measurements of the fabricated chip is required.
• Strong network (academia and industry); research collaborations on national and international level i.e., joint projects, publications, etc.
• Ability to conduct high-quality academic research, reflected in demonstratable outputs.
• Ability to teach, demonstrated by experience or assistance in teaching. Informed vision on teaching and learning within your own discipline. (For asst prof positions: Motivated to teach, contribute to teaching processes, and to develop excellent teaching skills.)
• Experience in management of professionals, supervising students.
• Strong cooperation skills and ability to work in an interdisciplinary team.
• Effective communication and leadership skills, including supervision, coaching and mentoring of students and staff and leading a project
• Excellent (written and verbal) proficiency in English.

Conditions of Employment

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station.
In addition, we offer you:

• In addition to your base salary, you will receive an 8% holiday allowance and an 8.3% year-end bonus, both calculated based on your annual gross base salary.
• As a TU/e employee, you participate in the ABP pension scheme, providing retirement pension and pension benefits for surviving dependents and occupational disability. TU/e pays 70% of the pension premium, while employees contribute the remaining 30%.
• A dedicated mentoring program to help you get to know the university and the Dutch (research) environment.
• A Development Track with the prospect of becoming an Associate Professor. If you have a more senior profile, a tailor‑made career proposal will be considered.
• An excellent technical infrastructure, and on-campus children's day care.
• We support your wellbeing with free 24/7 access to OpenUp, providing you and your family with mental health support, expert guidance, and online training.
• Partially paid parental leave and an allowance for commuting, working from home and internet costs.

We are a leading international university where scientific curiosity meets a hands‑on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact - today and in the future. TU/e is home to over 13,000 students and more than 7,000 staff, forming a diverse and vibrant academic community.

Our university is located in Brainport Eindhoven - a world-leading tech region with more than 7,000 high-tech companies and strong R&D activity. Known for breakthroughs in AI, photonics, semiconductors and advanced manufacturing, Brainport is a place where technology serves people and society. Learn more about the Brainport region here .

Information

Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager Prof. dr. Aida Todri‑Sanial, [e-mail] and Prof. dr. Marion Matters‑Kammerer, [e-mail] .

Curious to hear more about what it is like as a professor at TU/e? Please watch the video .

Are you inspired and would like to know more about working at TU/e? Please visit our career page .

Excellent fundamental research combined with a hands‑on mentality

World-leading university in cooperation with industry