Assistant Professor in Integrated Circuits for Edge AI
Karlstad University
Get more replies from employers
Send a job-specific resume in minutes.
Benefits offered by this job
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
Education
Tools
Job description
Select the region that best fits your location or preferences.
This setting controls the language of the user interface, including buttons, menus, and all site text. Select your preferred language for the best browsing experience.
Select the languages for job listings you want to see. This setting determines which job advertisements will be displayed to you.
Swedish
Norsk
Danish
Finnish
German
French
Dutch
Spanish
Compare your profile with the job requirements
Job or profile information is not available.
We've compared your profile to the job requirements. Here's where they align.
Job or profile information is not available.
You have already applied for this position.For questions regarding your application, please contact the employer.For technical assistance, reach out to our support teamhere .
Thank you for your application! An email confirmation has been sent to your email.
Loading job alert...
Receive job alerts that match your preferences.
Select employers Search and select specific employers to receive job alerts only from them.
We are an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude.
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?
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-/near-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.
Research Leadership
- Establish and lead an 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 emphasis on in-/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).
- 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.
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 .
Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager Prof. dr. Aida Todri‑Sanial, [emailprotected] and Prof. dr. Marion Matters‑Kammerer, [emailprotected] .
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 .
We invite you to submit a complete application. The application should include a:
- Cover letter in which you describe your motivation and qualifications for the position.
- Curriculum vitae, including a list of your publications and the contact information of three references. Kindly note that we may reach out to references at any stage of the recruitment process. We recommend notifying your references upon submitting your application.
- Description of your scientific interests and plans (1-2 pages).
- Statement of your teaching goals and experience (1-2 pages).
Ensure that you submit all the requested application documents. Please note that incomplete applications may not be considered and could be rejected.
- You can apply online. We will not process applications sent by email and/or post.
- A pre‑employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check, please consult the National Knowledge Security Guidelines .
- Please do not contact us for unsolicited services.
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?
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‑/near‑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.
Research Leadership
- Establish and lead an 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 emphasis on in‑/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).
- 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.
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:
- Salary in accordance with the Collective Labour Agreement for Dutch Universities , scale 11‑12, ranging from €4925,- to €7573,- gross base salary per month (full‑time).
- 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.
- High‑quality training programs for academic leadership and teaching.
- An excellent technical infrastructure, and on‑campus children's day care.
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
