Assistant Professor in Low-Power Secure Computer Architectures for Edge Devices

Do you want to shape the future of edge computing by driving innovation in secure, low-power architectures for sensors, wearables, and AI? Are you inspired to collaborate globally, lead cutting-edge research, and inspire the next generation of engineers?

Introduction
The proliferation of edge computing has introduced new challenges in security, energy efficiency, and architectural design. Traditional security mechanisms, designed for general purpose or cloud-scale systems, are often computationally intensive and energy-demanding, making them unsuitable for edge environments. Moreover, the physical accessibility of edge devices increases their exposure to hardware-level attacks, including side-channel analysis, fault injection, and reverse engineering. These threats necessitate architectural innovations that embed security directly into the hardware fabric, enabling trustworthy computation without compromising energy budgets. Treating security as a first-class citizen when designing hardware components and future computer architectures requires novel design methodologies that enable explicit trade-offs between low-power, real-time, safety and security aspects in the hardware architecture. Are you inspired to have your research achieve these goals and develop design methodologies that enable the deployment of scalable, secure, and sustainable edge systems across domains such as healthcare, mobility, smart infrastructure, and high-tech systems? Then this could be your next exciting new career opportunity.

The Electronic Systems group
This position is embedded in the Electronic Systems (ES) group within the Electrical Engineering department at Eindhoven University of Technology (TU/e). Our group consists of six full professors, three associate professors, seven assistant professors, several postdocs, approximately 40 EngD and PhD candidates, and support staff. The ES group is world-renowned for its design automation and embedded systems research. Our research is organized in three sub-programs that cover the engineering, system and circuit perspectives: Model-driven engineering, smart electronic systems, and digital nano-electronics. ES has strong collaborations with industry, research institutes and other universities. Several of its staff members have a second affiliation besides their TU/e-ES affiliation. The group is a multi-cultural team, with staff members of eight different nationalities and students from all over the world.

Job Description
The ES group aims to provide a scientific basis for design trajectories of electronic systems, ranging from digital circuits to cyber-physical systems. Within this position you will contribute to our research on smart electronic systems. Next to your research activities you will develop and teach courses at both undergraduate and graduate level in English. You will also be involved in supervising Bachelor, Master, EngD, and PhD candidates.

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 Computer Architecture or Embedded Systems research or a comparable domain.
• Strong network (academic, industry); research interactions on the national and international level, supported by e.g. joint collaborations, projects, or publications.
• Experience in management of professionals, aimed at developing people and creating synergy.
• Excellent teaching skills, preferably demonstrated at both undergraduate and graduate levels.
• Experience with the process of acquiring external research funding from (inter-)national funding bodies or industry.
• Excellent communication, organization, and leadership skills demonstrating the potential of building your own research group.
• Excellent proficiency (written and verbal) 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:

• Salary in accordance with the Collective Labour Agreement for Dutch Universities. For a junior Assistant Professor this is (scale 11) min. € 4,728 max. € 6,433 gross per month (on a full-time basis).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• 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, on-campus children's day care and sports facilities.
• Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally affordable rate.
• Partially paid parental leave and an allowance for commuting, working from home and internet costs.
• A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and partner career support.

On our website you can discover even more information about our conditions of employment. Build on your career at TU/e!

About us
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 Sander Stuijk, Chair Electronic Systems group, s.stuijk@tue.nl or +31 40 247 3387.

Visit our website for more information about the application process. You can also contact Thomas Slegers, Senior Recruiter, t.slegers@tue.nl or +31 6 14835214.

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.

Application
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.

Recruitment process:
We look forward to receiving your application at the latest September 1, 23:59h CET, 2026. The recruitment process will include the following sequential selection rounds:

• Online interviews with the selection committee.
• Candidates’ day on our campus, including interviews and introduction program to get to know the group, the department and our university and a formal interview with a Recruitment Advisory Committee.

Please note

• 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.

Assistant Professor in Low-Power Secure Computer Architectures for Edge Devices

The ES group aims to provide a scientific basis for design trajectories of electronic systems, ranging from digital circuits to cyber-physical systems. Within this position you will contribute to our research on smart electronic systems. Next to your research activities you will develop and teach courses at both undergraduate and graduate level in English. You will also be involved in supervising Bachelor, Master, EngD, and PhD candidates.

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).

EngD in Image-Based Crack Detection in Paintings

Introduction
Are you eager to work on a challenging image analysis problem with direct societal impact? Together with ASML, the Van Gogh Museum and TU/e, you will develop crack detection methods for paintings and build software that supports conservators in their daily work.

Job Description
Cultural heritage is an integral part of our built environment: paintings, monuments, and historic interiors are human-made assets that degrade under environmental loads such as humidity, temperature, and mechanical stress. High-resolution scanners can now capture the colour and surface topography of a painting down to the microscale, but the resulting datasets are large, heterogeneous, and complex. Crack assessment therefore still relies on manual visual inspection, which is time-consuming, subjective, and difficult to reproduce over time.

As our EngD trainee, you will design and validate a semi-automatic crack detection and classification framework based on the fusion of high-resolution colour and surface height data. This is a challenging image analysis problem: cracks appear as thin dark lines, but so do brushstrokes, impasto, and pigment variations, and no single imaging modality is sufficient on its own. You will develop robust image-processing and multi-modal fusion methods, extract quantitative crack descriptors, and integrate these into an interactive software tool that supports conservators in documentation, monitoring, and decision-making, without replacing expert judgement. You will be embedded at ASML in Veldhoven and collaborate closely with conservators and scientists of the Van Gogh Museum and researchers at TU/e, within the framework of the Materials innovation institute (M2i), at the meeting point of high-tech industry, academia, and one of the world's most renowned museums.

Smart Buildings & Cities EngD Program
The Smart Buildings & Cities EngD program wants to contribute to the transition towards smart, intelligent, and sustainable cities where the quality of life for residents is high and cultural assets are preserved for future generations. This transition requires new solutions which can only be created through multiscale and transdisciplinary approaches.
The program consists of two main parts running in parallel:

• One part of the program consists of post-graduate level education in the form of generic design projects and courses on design methods, entrepreneurship, and management, with special attention to the development of professional skills. The education part also includes technical courses on topics relevant to SBCs, as well as courses tailored to the specific topic of the individual project, such as image processing, data science, and software development.
• The other part of the program is dedicated to an individual design project in collaboration with a company or with a consortium of companies and organizations, who work together on a subsidies project. It is the trainee’s main responsibility to manage and execute (own part of) the project. Each trainee is supported by an advisor from the company and a supervisor from the university.

Job Requirements
We are looking for an excellent and highly motivated candidate with:

• an MSc degree in Computer Science, Applied Mathematics, Applied Physics, Mechanical Engineering, Structural/Civil Engineering, or a related field
• an interest in image processing, computer vision, data analysis, machine learning and in translating algorithms into practical, user-oriented software tools
• demonstrable programming skills (e.g. Python, Pytorch); experience with image analysis, machine learning, or damage/defect detection is an advantage
• an excellent command of the English language, both in speaking and writing
• the ability to work in a team and an interest in collaborating with the industrial partner (ASML) and museum professionals (Van Gogh Museum)
• affinity with cultural heritage or conservation is a plus, but not required

We value diversity in our team and encourage applications from candidates of all backgrounds.
Candidates with non-traditional profiles or degrees from related disciplines are welcome to apply.

Conditions of Employment
A meaningful job in a dynamic and ambitious university, in an international setting with a close relationship to industry. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Full-time employment for two years.
• Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale TOIO (€ 3,029 gross per month).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• To support you during your EngD and to prepare you for the rest of your career, you will have free access to a personal development program for EngD trainees.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally affordable rate.
• An allowance for commuting, working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

On our website you can discover even more information about our conditions of employment. Build on your career at TU/e!

About us
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.

Sustainability, in its broadest definition, is the cornerstone of research and education in the Department of Built Environment. We take the lead in (re)shaping the built environment to be future-proof, safe, healthy, inclusive and respectful of planetary boundaries. We house the entire spectrum of technology, engineering, design, and human behavior disciplines in the built environment, with world-class experimental facilities at all scales. This allows us to address societal challenges from a uniquely integrated perspective.

Information
Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager Dr. Emanuela Bosco e.bosco@tue.nl.

Visit our website for more information about the application process. You can also contact HR Services BE (Built Environment) : HRServices.be@tue.nl.

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

Application
We invite you to submit a complete application by using the apply button. The application should include:

• A cover letter in which you describe your motivation and qualifications for the position.
• A 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.
• Copies of relevant BSc and MSc diplomas and grade transcripts.
• The result of an English proficiency test such as IELTS or TOEFL.

Ensure that you submit all the requested application documents. We give priority to complete applications.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

Please note

• 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.

EngD in Image-Based Crack Detection in Paintings

Cultural heritage is an integral part of our built environment: paintings, monuments, and historic interiors are human-made assets that degrade under environmental loads such as humidity, temperature, and mechanical stress. High-resolution scanners can now capture the colour and surface topography of a painting down to the microscale, but the resulting datasets are large, heterogeneous, and complex. Crack assessment therefore still relies on manual visual inspection, which is time-consuming, subjective, and difficult to reproduce over time.

As our EngD trainee, you will design and validate a semi-automatic crack detection and classification framework based on the fusion of high-resolution colour and surface height data. This is a challenging image analysis problem: cracks appear as thin dark lines, but so do brushstrokes, impasto, and pigment variations, and no single imaging modality is sufficient on its own. You will develop robust image-processing and multi-modal fusion methods, extract quantitative crack descriptors, and integrate these into an interactive software tool that supports conservators in documentation, monitoring, and decision-making, without replacing expert judgement. You will be embedded at ASML in Veldhoven and collaborate closely with conservators and scientists of the Van Gogh Museum and researchers at TU/e, within the framework of the Materials innovation institute (M2i), at the meeting point of high-tech industry, academia, and one of the world's most renowned museums.

Smart Buildings & Cities EngD Program
The Smart Buildings & Cities EngD program wants to contribute to the transition towards smart, intelligent, and sustainable cities where the quality of life for residents is high and cultural assets are preserved for future generations. This transition requires new solutions which can only be created through multiscale and transdisciplinary approaches.
The program consists of two main parts running in parallel:

• One part of the program consists of post-graduate level education in the form of generic design projects and courses on design methods, entrepreneurship, and management, with special attention to the development of professional skills. The education part also includes technical courses on topics relevant to SBCs, as well as courses tailored to the specific topic of the individual project, such as image processing, data science, and software development.
• The other part of the program is dedicated to an individual design project in collaboration with a company or with a consortium of companies and organizations, who work together on a subsidies project. It is the trainee’s main responsibility to manage and execute (own part of) the project. Each trainee is supported by an advisor from the company and a supervisor from the university.

Incubation Manager – Knowledge Transfer Office (KTO)

Introduction
About the TU/e Knowledge Transfer Office (KTO)
The TU/e Knowledge Transfer Office (KTO) is the university’s hub for transforming scientific breakthroughs into real-world impact. As part of its 2026–2030 strategy, KTO is evolving into a strategic ecosystem orchestrator, building integrated value chains and enabling high-impact deeptech ventures.
A core pillar of this strategy is the creation of a TU/e early-stage incubator and venture-building capability, bridging the gap from ideation to venture formation and connecting to leading external deeptech venture builders.

Job Description
Role: Incubation Manager (deeptech venture building)
We are looking for an experienced venture builder in deeptech who will design, launch, and manage TU/e’s early-stage incubator and orchestrate venture-building activities across internal and external partners.
This new position is pivotal to achieving TU/e’s ambition to become a European deeptech powerhouse, capable of producing 15–20 high-quality spin-offs annually and building a strong pipeline of scale-ups, while also serving as a central driver of KTO’s ambition to bridge the TRL gap, professionalize the spin-off funnel, and establish a high-throughput venture creation engine.
You will operate at the intersection of science, entrepreneurship, and investment, working closely with researchers, business developers, TU/e Participations, and leading European venture-building organizations.

Key Responsibilities

1. Design & manage TU/e’s early-stage incubator

• Lead the set-up, development, and daily management of the TU/e incubator (from ideation to venture formation).
• Define and implement selection criteria, stage-gating, and program structure aligned with our KTO’s portfolio approach.
• Build a structured incubation journey including validation, team formation, business modelling, and readiness for venture-building programs.
• Ensure alignment with TU/e priority domains (energy, health, digital/semiconductors, advanced materials).

2. Venture building & external partnerships

• Orchestrate collaboration with leading Dutch and European venture-building partners.
• Prepare and position selected teams for external venture-building and acceleration programs.
• Co-develop joint programs, pipelines, and handover mechanisms with partners.
• Manage relationships with ecosystem partners, including corporates, investors, and EU networks.

3. TRL bridging & venture development

• Translate early-stage research into validated venture opportunities by guiding teams through TRL progression in close collaboration with our business developers.
• Support proof-of-concept, validation, and early market engagement activities.
• Ensure ventures are investment-ready, with clear value propositions, teams, IP positioning, and funding strategies.
• Connect teams to funding instruments (pre-seed, seed, EU programs).

4. Spin-off funnel & portfolio management

• Manage the early-stage spin-off funnel ("deal flow"), ensuring structured progression and quality control.
• Work with KTO colleagues to implement data-driven funnel management and selection mechanisms.
• Contribute to achieving KTO KPIs such as spin-off creation, venture-building participation, and capital attraction.
• Maintain clear handover to investment teams.

5. Entrepreneurial ecosystem & culture building

• Actively stimulate an entrepreneurial culture among researchers and students in close collaboration with KTO’s student incubator manager.
• Develop and deliver incubation programs, workshops, and venture-building support activities.
• Engage with faculties, institutes, and the Innovation Space to ensure strong deal flow and participation.
• Contribute to building incubation hubs close to research environments.

Job Requirements
Profile & requirements
Education & experience

• Master’s or PhD degree in engineering, science, or a related field.
• 7–12 years of experience in venture building, startup creation, or deeptech investment.
• Proven track record in building and scaling deeptech startups (founder, venture builder, or investor role).
• Experience with incubators, accelerators, or venture studios is strongly preferred.

Expertise
Strong affinity with:

• Deeptech venture creation and TRL bridging
• Startup validation methodologies (lean startup, customer discovery, etc.)
• Venture-building models and co-creation with external partners
• Early-stage financing (pre-seed/seed, public and private funding)
• Ecosystem orchestration and stakeholder management

Skills

• Entrepreneurial mindset with strong execution power
• Ability to translate scientific innovation into business opportunities
• Excellent stakeholder management and partnership-building skills
• Strong coaching and mentoring capabilities for early-stage teams
• Structured, data-driven, and able to manage complex pipelines
• Fluent in English (Dutch is a plus)

If you are concerned that you don’t meet all the requirements sufficiently, but the job does excite you, then be sure to respond, we would love to look at your profile.

Conditions of Employment
An exciting position within an international yet personal university. You are right in the middle of the students, on a green campus within walking distance of the central station. Besides beautiful architecture, you will find varied workplaces and excellent sports facilities. We also offer you:

• A monthly salary of minimum € 6,512 to maximum € 7,904 gross for full-time employment, depending on your knowledge and experience (scale 13 Collective Labour Agreement for Dutch Universities).
• In addition to vacation pay, a structural end-of-year bonus of 8.3%.
• A favorable arrangement for more holidays or a sabbatical.
• A selection model for additional fringe benefits.
• Working hours in consultation for an optimal work-life balance.
• Scope for your talent with advancement prospects and excellent development opportunities such as mentoring, workshops and coaching.
• Partially paid parental leave and reimbursement for commuting expenses, working from home and the internet.
• A generous employer contribution to the favorable ABP pension plan.
• Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally affordable rate.

Here you can discover even more information about our conditions of employment. Build on your career at TU/e!

About us
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 have more information about the position, please contact the hiring manager Renato Calzone, r.f.calzone@tue.nl.

Visit our website for more information about the application process. You can also contact HR Services via HRServices.SupportUnits@tue.nl, or +31 40 247 2421.

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

Application
If you are interested, please use the ‘apply’ button to send us your CV and letter of application with your motivation and a description of your qualifications. Ensure that you submit all the requested application documents. We give priority to complete applications.

Screening of candidates begins as soon as applications are received and continues until the position is filled. Where applicable, internal candidates will be given priority over external candidates where they are equally suitable.

We look forward to receiving your application!

Please note

• 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.
• Important for non-EU applicants: Please be aware that for this position, specific residence permit requirements apply. If you are a non-EU national, you may not be eligible to legally work in this role under current Dutch immigration regulations. We strongly advise you to contact our Staff Immigration Team (staffimmigration@tue.nl) before applying to check your eligibility and to receive further guidance.
• Please do not contact us for unsolicited services.