Research Technician In Integrated Photonics Technology

The Photonic Integration group is looking for a hands-on Research Technician / Process Line Technician to strengthen the shared cleanroom process capability for integrated photonics. The role is part of the group-level technology infrastructure and is focused on process operations, process stability, documentation, and continuous improvement of the process technologies within the integrated photonics process line. The technological work will be carried out in our cleanroom facilities at Nanolab@TU/e (www.tue.nl/nanolab).

This position is defined at the level of shared process capability rather than direct execution of individual project tasks. The technician will help ensure that key process modules are available, reproducible and well documented across multiple research projects across the group. This role is not intended as dedicated fabrication support for a single project or individual researcher. Project interaction is expected and necessary, but the primary responsibility is to maintain and improve shared process capability for the PIC process baseline.

Your day-to-day responsibilities will include:

• Process operations for selected process clusters within integrated circuit line (e.g. plasma tools or metals or lithography)
• Monitoring and improving process stability at cluster level, and supporting root-cause analysis when process deviations occur.
• Implement the process line improvement strategy through co-definition of short-loop experiments with the line manager
• Implementation of selected short-loop experiments to understand and extend process capabilities with equipment manufacturer(s)
• Coordinate the documentation of process modules
• Perform periodic process flows at the cluster level with multi-project wafers

You will work within a team of research technicians, who are led by a line manager and a group scientific staff. You cooperate with team members to contribute to the baseline technologies complementarily. You also interact and coordinate with the Nanolab cleanroom staff, who own the responsibilities of tool maintenance and repairment, for the tasks of recipe/process-level monitoring and control.

Research Technician In Integrated Photonics Technology

Introduction
Photonics is widely regarded as a key enabling technology of the 21st century. Its application across scientific and industrial domains is being accelerated by photonic integrated circuits, or PICs, which combine many optical components into a miniaturized chip format. Similar to electronic integrated circuits, PICs are transforming areas such as healthcare, communication, sensing, and quantum computing, with the potential to create broad societal and industrial impact.

Eindhoven University of Technology has a strong position in integrated photonics. The Photonic Integration group (PHI) at TU/e has leading expertise in InP-based photonic integrated circuits, heterogeneous integration, and advanced nanofabrication. The group holds several track records in device innovations, and is a key partner in multiple National and European large-scale research programs.

A key enabling factor for this research is reliable and reproducible cleanroom technology. Concepts can only become functional chips when they are supported by stable wafer process lines, well-controlled process modules, and continuous improvement of workflows.

Job Description
The Photonic Integration group is looking for a hands-on Research Technician / Process Line Technician to strengthen the shared cleanroom process capability for integrated photonics. The role is part of the group-level technology infrastructure and is focused on process operations, process stability, documentation, and continuous improvement of the process technologies within the integrated photonics process line. The technological work will be carried out in our cleanroom facilities at Nanolab@TU/e (www.tue.nl/nanolab).

This position is defined at the level of shared process capability rather than direct execution of individual project tasks. The technician will help ensure that key process modules are available, reproducible and well documented across multiple research projects across the group. This role is not intended as dedicated fabrication support for a single project or individual researcher. Project interaction is expected and necessary, but the primary responsibility is to maintain and improve shared process capability for the PIC process baseline.

Your day-to-day responsibilities will include:

• Process operations for selected process clusters within integrated circuit line (e.g. plasma tools or metals or lithography)
• Monitoring and improving process stability at cluster level, and supporting root-cause analysis when process deviations occur.
• Implement the process line improvement strategy through co-definition of short-loop experiments with the line manager
• Implementation of selected short-loop experiments to understand and extend process capabilities with equipment manufacturer(s)
• Coordinate the documentation of process modules
• Perform periodic process flows at the cluster level with multi-project wafers

You will work within a team of research technicians, who are led by a line manager and a group scientific staff. You cooperate with team members to contribute to the baseline technologies complementarily. You also interact and coordinate with the Nanolab cleanroom staff, who own the responsibilities of tool maintenance and repairment, for the tasks of recipe/process-level monitoring and control.

Job Requirements

• HBO-level education or higher, in Applied Physics, Electrical Engineering, Materials Science, Mechanical Engineering, Chemical Engineering, or a related technical field.
• Strong hands-on problem-solving skills during study and/or past work experiences.
• Affinity with cleanroom and microfabrication is an advantage but not a hard requirement. We equally welcome applicants who are motivated to learn.
• Good command of English and communication skills. Ability to document data in a structured way.
• Ability to organize their own work independently, while also contributing to a team-based research environment.

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:

• Full-time employment with a 2-year initial contract, offering the possibility of extension and development into a long-term career within the organization.
• Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 8, ranging from € 3,537 to € 4,673 gross base salary per month (full-time), depending on your knowledge and experience.
• 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 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.
• Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally affordable rate.
• 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.
• 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.

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.

The mission of the Department of Electrical Engineering is to acquire, share and transfer knowledge and understanding in the whole field of Electrical Engineering through education, research and valorization. We work towards a ‘Smart Sustainable Society’, a ‘Connected World’, and a healthy humanity (‘Care & Cure’). Activities share an application-oriented character, a high degree of complexity and a large synergy between multiple facets of the field.

Research is carried out into the applications of electromagnetic phenomena in all forms of energy conversion, telecommunication and electrical signal processing. Existing and new electrical components and systems are analyzed, designed and built. The Electrical Engineering department takes its inspiration from contacts with high-tech industry in the direct surrounding region and beyond.

The department is innovative and has international ambitions and partnerships. The result is a challenging and inspiring setting in which socially relevant issues are addressed.

Information
Do you recognize yourself in this profile and would you like to have more information about the position, please contact the hiring manager: y.jiao@tue.nl, Associate Professor, y.jiao.@tue.nl.

Visit our website for more information about the application process. You can also contact Kevin Caris, HR Advisor, k.t.caris@tue.nl.

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.

PhD in Safe AI-based Control

Introduction
Are you fascinated by how machine learning can enhance control without compromising safety or stability? As a PhD candidate, you will develop scalable methods for expressive and flexible neural controllers for complex systems that are safe and verifiable by design.

Job Description
Neural networks can provide the flexibility needed to control increasingly complex dynamical systems, but their opaque and nonlinear behavior makes it difficult to guarantee safety and stability. How can we exploit the expressive power of machine learning without compromising the rigorous guarantees required in safety-critical control applications?

In this PhD project, you will develop methods for the analysis, verification, and design of neural-network-based controllers. Rather than treating safety and stability as properties to be assessed only after training, you will investigate safety- and verification-by-design approaches that incorporate certifiable properties directly into the controller architecture and learning process.

This project offers a unique opportunity to work at the intersection of machine learning and control theory. You will develop rigorous theory and scalable computational methods for certifying closed-loop safety and stability, with potential directions including control barrier and Lyapunov functions, quadratic constraints, semidefinite programming, and neural-network architectures with intrinsic stability or robustness properties. You will also investigate how physical insight, prior system knowledge, and stabilizing baseline controllers can be combined with learning to improve performance while retaining rigorous guarantees. The developed methods will be evaluated on benchmark problems and more realistic scenarios involving complex dynamical systems.

You will join the Control Systems Technology group in the Department of Mechanical Engineering. The group offers an open and collaborative environment that combines fundamental and applied research. Its expertise spans data-driven modelling of dynamical systems, control of complex and uncertain systems, motion control for high-tech systems, model predictive, networked, supervisory, neuromorphic, and learning-based control, cyber-physical systems, and optimization. This research is reinforced by close collaborations with industry. You will receive close scientific supervision while having the freedom to shape your research direction, present your work at international conferences, and develop as an independent researcher. Your work will contribute to the foundations of trustworthy artificial intelligence for control and support the reliable use of learning-based controllers in areas such as robotics, motion control, and energy systems.

Job Requirements

• A master’s degree (or an equivalent university degree) in Systems and Control, Control Engineering, Engineering Cybernetics, Mechanical Engineering, Electrical Engineering, Computer Science, Mechatronics, Artificial Intelligence, or a closely related field.
• A strong interest in control theory, machine learning, and safety-critical systems.
• A research-oriented and mathematically rigorous mindset.
• Ability to work independently and in interdisciplinary collaborations.
• Motivated to develop your teaching skills and coach students.
• Fluent in spoken and written English (C1 level).

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:

• Full-time employment for four years, with an intermediate assessment after nine months. You will spend a minimum of 10% of your four-year employment on teaching tasks, with a maximum of 15% per year of your employment.
• 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 P (min. € 3,204 - max. € 4,051 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%.
• High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
• An excellent technical infrastructure, and on-campus children's day care.
• Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally affordable rate.
• 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.
• An allowance for commuting, working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the Expat Scheme) 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.

Information
Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager Dr. Patricia Pauli, Assistant Professor, p.d.pauli@tue.nl.

Visit our website for more information about the application process. You can also contact HR Services, hrservices.me@tue.nl.

Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view 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 by using the apply button. 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.

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.

PhD in Safe AI-based Control

Neural networks can provide the flexibility needed to control increasingly complex dynamical systems, but their opaque and nonlinear behavior makes it difficult to guarantee safety and stability. How can we exploit the expressive power of machine learning without compromising the rigorous guarantees required in safety-critical control applications?

In this PhD project, you will develop methods for the analysis, verification, and design of neural-network-based controllers. Rather than treating safety and stability as properties to be assessed only after training, you will investigate safety- and verification-by-design approaches that incorporate certifiable properties directly into the controller architecture and learning process.

This project offers a unique opportunity to work at the intersection of machine learning and control theory. You will develop rigorous theory and scalable computational methods for certifying closed-loop safety and stability, with potential directions including control barrier and Lyapunov functions, quadratic constraints, semidefinite programming, and neural-network architectures with intrinsic stability or robustness properties. You will also investigate how physical insight, prior system knowledge, and stabilizing baseline controllers can be combined with learning to improve performance while retaining rigorous guarantees. The developed methods will be evaluated on benchmark problems and more realistic scenarios involving complex dynamical systems.

You will join the Control Systems Technology group in the Department of Mechanical Engineering. The group offers an open and collaborative environment that combines fundamental and applied research. Its expertise spans data-driven modelling of dynamical systems, control of complex and uncertain systems, motion control for high-tech systems, model predictive, networked, supervisory, neuromorphic, and learning-based control, cyber-physical systems, and optimization. This research is reinforced by close collaborations with industry. You will receive close scientific supervision while having the freedom to shape your research direction, present your work at international conferences, and develop as an independent researcher. Your work will contribute to the foundations of trustworthy artificial intelligence for control and support the reliable use of learning-based controllers in areas such as robotics, motion control, and energy systems.

Postdoc in Attacks, Countermeasures & Eavesdropping on Quantum Key Distribution

Introduction
Are you passionate about keeping communications networks secure and trustworthy? Are you eager to explore attacks and countermeasures for QKD systems and to help ensure they can deliver the promised security advantages? Join us to work on QKD for quantum safe communications in future networks.

Job Description
The security of modern communications is threatened by advances in quantum computing which have the potential to break common methods for establishing and distributing cryptographic keys. Unless networks can be upgraded to new, quantum safe methods the trust in communications networks which modern society so heavily relies on for all aspects of life cannot be maintained. Post-quantum cryptography and quantum key distribution have been shown to be viable options to provide key agreement and distribution that is safe against attackers enabled by quantum computers. However, the implementations of QKD may introduce weaknesses not accounted for in security proofs, leaving systems vulnerable to side-channel and other types of attacks.

In this PostDoc position you will explore existing and novel attacks on QKD systems and develop countermeasures and analyze their security implications. You will create a simulation and analysis framework to validate and evaluate existing and novel attacks and countermeasures, and you will work on establishing standardized protocols for QKD security testing as well as attach and countermeasure evaluation. You will further develop hardware attack systems designed to eavesdrop on or otherwise compromise security of existing QKD implementations. In short, this PostDoc focuses on evaluating attacks and countermeasures for QKD systems and developing a hardware attack system to evaluate existing QKD implementations.

In this PostDoc you will become part of the quantum communications team at TU/e and will work very closely with industrial partners. You will be embedded in the Quantum & Terahertz Systems (QTS) team within the Electro-Optical Communications (ECO) group of the Department of Electrical Engineering at TU/e. Within QTS you will work within a dynamic team of approximately thirty researchers and as part of ECO will be part of one of the leading groups on optical communications and networking with more than one hundred researchers. You will have the opportunity to work with and in the extensive laboratory facilities of the ECO group as well as the Quantum Communications Testbed NL (QuCT NL).

Job Requirements

• Motivated researcher, with a PhD in quantum communications, quantum security, or a comparable domain (typically in Electrical Engineering or Computer Science).
• Experience with QKD protocol design and implementation as well as protocol and implementation security analysis.
• Experience with quantum key distribution at both theoretical and experimental level.
• Ability to conduct high quality academic research, reflected in demonstratable outputs.
• A team player who enjoys coaching PhD and Master's students and working in a dynamic, interdisciplinary team.
• A proven ability to manage complex projects to completion on schedule.
• A proven ability to liaise with internal and external project stakeholders and partners to develop common understanding and establish agreed designs.
• Excellent (written and verbal) proficiency in English, good communication and leadership skills.

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:

• Full-time employment for 2 years with the possibility of extension.
• Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 10, ranging from € 4,422 (step 4) to € 5,760 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%.
• High-quality training programs on general skills, didactics and topics related to research and valorization.
• An excellent technical infrastructure, and on-campus children's day care.
• Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally affordable rate.
• 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.
• A TU/e Postdoc Association that helps you to build a stronger and broader academic and personal network, and offers tailored support, training and workshops.
• A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the Expat Scheme) and a compensation for moving expenses.

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.

The Quantum Communications Testbed NL (QuCT NL) is a leading facility and infrastructure for the development and test of quantum safe communications and future quantum networks. This facility is fully operated by TU/e and forms the backbone of both academic research and research and development for and with industrial partners. It consists of a field-deployed network with quantum key distribution and quantum safe communications infrastructure from a multitude of vendors and implementing a variety of security mechanisms and protocols.

Information
Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager dr. Simon Rommel, Assistant Professor, s.rommel@tue.nl or +31 40 247 5704.

Visit our website for more information about the application process.

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 using the apply-button. 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.
• List of up to five self-selected ‘best publications’.

Ensure that you submit all the requested application documents. Please note that incomplete applications may not be considered and could be rejected.

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.