Academic Advisor

Introduction
Would you like to guide students in their journey at University? The department of Mechanical Engineering is searching for an enthusiastic Academic Advisor to join our team.

In this student-facing position, you will be part of the Education and Student Affairs (ESA) team of the Department of Mechanical Engineering (ME). The ESA team is responsible for all support of the educational programs (both Bachelor's and (pre-)Master's) of the department. Behind the scenes, we ensure a well-coordinated curriculum, study schedule, evaluation and improvement of courses, organization and coordination of education and, of course, student guidance.

The Academic Advisor reports to the Team Lead for Academic Advising of the department.

Job Description
The core business of an Academic Advisor is student guidance, through in person meetings and e-mail. The daily work also involves administration, some days you may have five student conversations, another mainly administration. As Academic Advisor you are the first point of contact for students and are approached with a variety of topics that they have questions about: from composing their study program and interpretation of the regulations to advice on personal circumstances, combining their studies with a (top-level sports) career. When applicable, you refer them to other TU/e services or teams, such as the Student Psychologists or Student Counselors, or even an external Dutch organization or service. You are continuously updating your knowledge and skills and keep up with information on services and events offered to students.

A substantial and essential part of your role is collaborating with colleagues to help students in the best possible way. For example, by consulting the Student Counselor about personal circumstances, advising the Examination Committee about a request, by emailing a lecturer to clarify the rules and regulations for her course, or by discussing a difficult case with colleagues and looking for solutions together.

Our department cannot stand still, because the material we teach is always evolving. Therefore, you will need to be able to keep up with curriculum and procedural changes and help students to understand these changes.

To do this job, you therefore have to have a good grasp of details and regulations. However, you will be working with more than that. A young person at 18 years old who is struggling with mental or physical health issues and feeling scared that they cannot continue in University, but who doesn’t know the rules about deferral of studies and feels lost in the system, is not just a ‘process and policy’ matter: they are a human being. Therefore, your work requires empathy, sensitivity and social skills, as well as practical information-giving and checking abilities.

Job Requirements

• You have good face-to-face and online communication skills and are able to use the right conversation techniques at the right time;
• You have an excellent command of English (C1+) written and spoken, and at least a conversational level of Dutch (A2+), and are willing to improve your Dutch to a level to understand our student-legal texts;
• You have excellent analytical skills and organizational sensitivity;
• You are experienced in working with people from a range of backgrounds and in a range of roles. Professional experience in working with 17-23 age group is a plus;
• You have an academic working and thinking level, an affinity with or background in STEM can be an advantage;
• You are a team player, are result-oriented and can work with others to share information and manage a large volume of student cases;
• You have knowledge of the Dutch higher educational system.

Ideally you would have around 3 years of previous work experience, which does not have to be exclusively in advice-giving, but should cover at least some client-facing roles. We are open to a range of backgrounds and nationalities – after all, our student body is hugely diverse, so why would our employees not be?

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 €3,708 to maximum €5,057 for full-time employment, depending on your knowledge and experience (scale 9 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.

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

About us
Eindhoven University of Technology is a leading international university within the Brainport region 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.

The Department of Mechanical Engineering department conducts world-class research aligned with the technological interests of the high-tech industry in the Netherlands, with a focus on the Brainport region. Our goal is to produce engineers who are both scientifically educated and application-driven by providing a balanced education and research program that combines fundamental and application aspects. We equip our graduates with practical and theoretical expertise, preparing them optimally for future challenges.

Information
Do you recognize yourself in this profile and would you like to have more substantive information about the position, you can contact Simona Dumitrescu, Team Lead of the Academic Advisors at ESA Mechanical Engineering, e.s.dumitrescu@tue.nl.

For questions about the application process or the conditions of employment, please contact HRServices.me@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.

A small assignment may be part of the interviews, for which preparation instructions will be provided in advance.

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.

Academic Advisor

The core business of an Academic Advisor is student guidance, through in person meetings and e-mail. The daily work also involves administration, some days you may have five student conversations, another mainly administration. As Academic Advisor you are the first point of contact for students and are approached with a variety of topics that they have questions about: from composing their study program and interpretation of the regulations to advice on personal circumstances, combining their studies with a (top-level sports) career. When applicable, you refer them to other TU/e services or teams, such as the Student Psychologists or Student Counselors, or even an external Dutch organization or service. You are continuously updating your knowledge and skills and keep up with information on services and events offered to students.

A substantial and essential part of your role is collaborating with colleagues to help students in the best possible way. For example, by consulting the Student Counselor about personal circumstances, advising the Examination Committee about a request, by emailing a lecturer to clarify the rules and regulations for her course, or by discussing a difficult case with colleagues and looking for solutions together.

Our department cannot stand still, because the material we teach is always evolving. Therefore, you will need to be able to keep up with curriculum and procedural changes and help students to understand these changes.

To do this job, you therefore have to have a good grasp of details and regulations. However, you will be working with more than that. A young person at 18 years old who is struggling with mental or physical health issues and feeling scared that they cannot continue in University, but who doesn’t know the rules about deferral of studies and feels lost in the system, is not just a ‘process and policy’ matter: they are a human being. Therefore, your work requires empathy, sensitivity and social skills, as well as practical information-giving and checking abilities.

Technical Support / Expert Electronics and Embedded Software (1.0 FTE)

Introduction
Do you thrive on solving complex prototyping challenges? Bring your electronics & embedded software expertise to a multidisciplinary design research lab where you build, debug and iterate with researchers and students, turning ambitious ideas into working interactive prototypes.

Job Description
We want to grow the technical support team and we are looking for a practical expert to support students and researchers in developing interactive prototypes - from wearables and connected devices to data-driven installations. Your role is to bridge electronics, embedded software, and physical prototyping, ensuring projects are technically sound and safe, well-documented, and aligned with design goals.

You’ll work in the d.search Lab, a hands-on environment where ideas and concepts become fully working prototypes. Your focus will be on consulting, supporting hands-on, optimizing, and maintaining systems - while also helping others learn through workshops and one-on-one guidance. You will join a diverse team who is passionate about supporting next level design prototyping, building strong communities of practice, and mentoring young creative technologists.

Key responsibilities

• Advise and support students and researchers with designing, building, and troubleshooting electronics, embedded and connected systems (e.g., sensor networks, wearables, IoT devices).
• Develop and optimize embedded software (C/C++, Python) and integrate hardware-software systems for functional prototypes.
• Document processes and solutions (code, schematics, tutorials) to improve knowledge sharing and enable reproducibility.
• Collaborate with other departments and build connections with external partners (alumni, industry) to expand lab capabilities and expertise.
• Research emerging technologies and translate insights into practical applications, including open-source hardware and software, tool-making and working with cutting-edge research infrastructure.
• Manage lab infrastructure: maintain equipment, stock, and facilities.
• Ensure safety compliance (electrical, data) for prototypes.
• Teach workshops and support courses and challenge-based learning at ID.

Job Requirements
We are not just looking for a checklist of skills here - we want someone who can bridge electronics, embedded software, and connectivity to make prototypes work. You should have:

• At least an MBO-level degree in a relevant field (e.g., electrical engineering, mechatronics, computer science, embedded systems).
• Maker attitude: You build, test, and iterate.
• Patience for teaching and mentoring: Ability to guide students of all skill levels (from novice to advanced).
• Design affinity: You recognize that technical solutions must align with the practical goals of a prototype.
• Self-driven learner: Actively explore and adopt new technologies, tools, and methods to address novel challenges and expand lab resources.
• Academic affinity: Comfortable in a research-driven university setting.
• Proactive communication: Fluent in English; push back on unrealistic requests but help find alternatives.

Core skills: Electronics

• Circuit design and debugging: Confident with schematics, PCB layout (KiCad/Altium), and signal integrity (noise, power, manufacturability).
• Prototyping and testing: Hands-on experience with soldering, oscilloscopes, logic analyzers, and safety compliance for prototypes.
• Microcontroller ecosystems: Arduino, ESP32, STM32, or similar platforms - not just plug-and-play, but diving into custom applications.
• Sensor / actuator integration: Experience with analog / digital interfaces (ADC/DAC, I2C, SPI) for wearables, IoT, or interactive systems.

Supporting skills: Software & Data
Strong electronics skills are essential, but these additional skills will make your application to stand out.

• Embedded programming: C/C++ and MicroPython for microcontrollers.
• Connectivity and IoT: Experience with wireless protocols (BLE, Wi-Fi, LoRa) or networked device communication.
• Version control: Git for tracking hardware / software iterations.
• Scripting & data handling: Experience with Python for automation, logging, and prototype control, including CSV, SQL, and data visualization.

Nice-to-have experiences:

• Relevant open-source contributions (e.g. libraries, tools, documentation).
• Self-driven projects demonstrating hands-on learning (e.g., prototypes, tutorials, or experiments).
• Experience teaching technical skills in an engaging way.

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 €3,708 to maximum €5,538 for full-time employment, depending on your knowledge and experience (scale 9-10 collective labour agreementfor 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.

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

About us
Eindhoven University of Technology is a leading international university within the Brainport region 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.

The Department of Industrial Design conducts research on and education in the design of systems with emerging technologies in a social context. We excel at integrating various academic disciplines, including engineering, design, business, and social sciences.

ID Labs
Within the department of Industrial Design, the ID Labs are a network of make and research labs that enable research and education through accessible infrastructure, expert support, and realistic test environments. Across exploration, rapid prototyping, hardware/software development, and high-quality prototype and research-artefact production, the labs help turn ideas into validated prototypes, insights, and impact. You will join a close team of 8 colleagues with diverse expertise, working in a hands-on environment where making is both a core skill and a research practice, embedded in a department community of around 1,000 staff and students.

URL: https://youtu.be/9oZMiuHIkGU

Information
Do you recognize yourself in this profile and would you like to have more information about the position, please contact the hiring manager Nita Virtala-Wetzels, Head of Labs, n.h.virtala@tue.nl.

For questions about the application process or the conditions of employment, please contact Eleni Tzouvaras, HR Advisor, HRadvice@tue.nl or +31 40 247 3385.

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.

Technical Support / Expert Electronics and Embedded Software (1.0 FTE)

We want to grow the technical support team and we are looking for a practical expert to support students and researchers in developing interactive prototypes - from wearables and connected devices to data-driven installations. Your role is to bridge electronics, embedded software, and physical prototyping, ensuring projects are technically sound and safe, well-documented, and aligned with design goals.

You’ll work in the d.search Lab, a hands-on environment where ideas and concepts become fully working prototypes. Your focus will be on consulting, supporting hands-on, optimizing, and maintaining systems - while also helping others learn through workshops and one-on-one guidance. You will join a diverse team who is passionate about supporting next level design prototyping, building strong communities of practice, and mentoring young creative technologists.

Key responsibilities

• Advise and support students and researchers with designing, building, and troubleshooting electronics, embedded and connected systems (e.g., sensor networks, wearables, IoT devices).
• Develop and optimize embedded software (C/C++, Python) and integrate hardware-software systems for functional prototypes.
• Document processes and solutions (code, schematics, tutorials) to improve knowledge sharing and enable reproducibility.
• Collaborate with other departments and build connections with external partners (alumni, industry) to expand lab capabilities and expertise.
• Research emerging technologies and translate insights into practical applications, including open-source hardware and software, tool-making and working with cutting-edge research infrastructure.
• Manage lab infrastructure: maintain equipment, stock, and facilities.
• Ensure safety compliance (electrical, data) for prototypes.
• Teach workshops and support courses and challenge-based learning at ID.

PhD in Scalable Safe AI for Semiconductor Metrology

Introduction
Push multimodal GenAI beyond the lab. Join our research team as a PhD candidate to work on beyond the state-of-the-art model distillation and robustness methods, enabling efficient, reliable inference for challenging real-world problems in the semiconductor industry.

Job Description
Industry context and motivation.Pretrained foundation models bring lots of potential in semiconductors metrology. Multimodal foundation models combining data from multiple metrology sources, enable high accuracy in the early stages of next generation manufacturing process, and across many different usecases. As the process matures and enters high volume manufacturing, these models can be specialized through efficient fine-tuning and distillation to improve throughput in terms of both compute and data acquisition, while maintaining guaranteed performance on critical failure modes.

This PhD project focuses on developing data-efficient methods for fine-tuning and distillation under strict (customer fab) data and privacy constraints while providing performance guarantees for specific downsteam tasks.

Customer data can be indeed highly constrained. In particular, customers might not allow data to leave the fab, and datasets that are available can be limited and imbalanced.

The model performance requirements are expected to evolve over time – from early research to high-volume manufacturing. ML models should be able to adapt to changing accuracy, speed, and defect-detection requirements across the full lifecycle of a process node, and should cover a wide variety of use cases, across different customers, with minimal adaptation.

Developing beyond state-of-the-art techniques enabling such ML behaviour of ML would have a profound impact – facilitating more robust metrology models and significantly faster time-to-recipe across the maturity stages of a semiconductor process node.

Research settings:

PhD candidate will be formally employed with the Data and AI cluster at the Department of Mathematics and Computer Sciece and supervised by prof.dr. Mykola Pechenizkiy and dr. Ghada Sokar. The project is done in tight collaboration with dr. Jan Jitse Venselaar and dr. Jacek Kustra, of the ASML AI Research Team. The PhD candidate is expected to structurally spend time at both TU/e and ASML locations.

The project is part of NWO TTW Perspectief funded research program Foundation for Industry (FIND) - Large AI models for a resilient high-tech industry providing further opportunities for collaboration.

The project has access to the national computing infrustracture, TU/e HPC cluster SPIKE-1, ASML HPC cluster, ASML datasets, and potentially custom data through collaboration with e.g. IMEC.

Job Requirements

• A master’s degree AI, Machine Learning, Data Science, Computer Science or a closely related field.
• Solid background in machine learning.
• Strong programming skills for machine learning.
• Enthusiastic and motivated in application inspired ML research
• Interest in collaborating with industrial partners.
• Experience in model distillation, model adaptation and related topics is a plus.
• Good academic writing and communication skills.
• 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. € 3,059 - max. € 3,881).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• 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, on-campus children's day care and sports facilities.
• 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.

About us
Eindhoven University of Technology is a leading international university within the Brainport region 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.

With over 110 (assistant, associate and full) professors, almost 300 PhD and EngD students, about 1500 Bachelor students and 1000 Master students, the Department of Mathematics and Computer Science (M&CS) is the largest department of the TU/e. By performing top-level fundamental and applied research, and maintaining strong ties with industry, M&CS aims to contribute to science and innovation in and beyond the region.

Information
Do you recognize yourself in this profile and would you like to know more? Please contact the hiring manager: Mykola Pechenizki, m.pechenizkiy@tue.nl.

Visit our website for more information about the application process or the conditions of employment. You can also contact HR services M&CS, hrservices.mcs@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.
  We encourage applicants to reflect on three guiding research questions: (1) How can multimodal foundation models, combining data from different metrology sources, be designed to generalize across customers, process nodes, and use cases? (2) How can pretrained models be efficiently fine-tuned using limited and highly imbalanced customer data, while maintaining strong performance on rare but critical defect classes? (3) How can multimodal models be distilled into single-modality models to improve throughput, while preserving performance guarantees on underrepresented classes or populations?
• Curriculum vitae, including a list of your projects, publications, and any other relevant items
• A copy of or a link to your MSc thesis or an example of your academic writing if the MSc thesis cannot be shared.
• The contact information of two references.

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.