EU Program Expert / EU Grant Advisor (with a preferable focus on Resilience, Security and Defense)

Introduction
Research Support Office
The Research Support Office (RSO) consists of a close-knit team of professionals who support the academic staff in both pre- and post-award phases of European, national, and regional research & innovation grants. The RSO team includes research funding advisors / program experts, program managers, project leaders, and a team of legal experts.

Research Support Network
The TU/e Research Support Network (RSN) is a comprehensive knowledge network on campus that supports researchers throughout all phases of their research & innovation projects. The RSN is organized into two tiers: the first tier consists of Departmental Project Development Offices (PDOs) who provide day-to-day support close to the researcher and Institute Program Managers (PMs) who support researchers from a thematic/strategic point of view. The second tier, that includes the RSO, consists of experts at central services who offer specialized support to both the first tier support and to researchers directly.

TU/e EU Action Plan
On the request of the Executive Board and as a deliverable of the TU/e 2030 Strategy, a new EU-strategy has been developed by a campus-wide working group, in cocreation with stakeholders at TU/e: the TU/e EU Action Plan.

Goal of the plan is to improve the way TU/e is engaging in EU-research & innovation programmes (e.g. Horizon Europe, European Defense Fund, Digital Europe) and to have an integral and coherent approach in which we closely cooperate on campus and where we learn and grow further together. In doing so, we will be compliant with all existing and new EC-regulations and requirements.

The EU Action Plan, which has broad support on all levels within TU/e, is a dedicated and balanced improvement program in which needed new instruments (like info sessions, trainings, workshops, etc.) are being developed and implemented. The overall aim is that TU/e and its researchers and support staff will have a high return on effort and optimal visibility, participation and impact in EU R&I programmes.

To this end, amongst others, staff in four central services is being extended, including in the current grant support team of the RSO. The combined new staff is forming an inter-disciplinary cross-service EU Action Plan core team; this team closely collaborates with other staff in central services and with first tier support staff in the Departments & Institutes in various sub-projects towards achieving the goals of the EU Action Plan.

Job Description
With the aim to further develop our core team, we are seeking an enthusiastic colleague to contribute to the successful execution of TU/e’s EU Action Plan. As one of the EU Program Experts / EU Grant Advisors you will provide academic staff and 1st tier support staff with strategic information in an early stage; you will support them in the entire process of call-selection, proposal-ideation, feasibility analyses, writing, reviewing and submitting proposals for European collaborative grants (such as Horizon Europe (mainly pillar 2), European Defence fund, Digital Europe). You will help setting up and running info sessions and a structured training programme for researchers, as well as a training programme for 1st tier support staff (train the trainer). You will help in extending well aligned external relations and cooperation of the RSN with our strategic partners (such as the EuroTech Universities Alliance and our key industry partners). Importantly, you will also help in the development of improved procedures, toolkits, templates, etc. that are being developed in the context of the EU Action Plan.

You will be hierarchically positioned in the grant support team of the Research Support Office, but content-wise in day-to-day operations part of the interdisciplinary EU Action Plan programme-team. This role offers a high degree of diversity and autonomy within the team and the university.

Tasks
Specific tasks include:

• Inform the TU/e community of longer-term and strategic developments in the EU funding landscape, and what it means for TU/e (researchers).
• Alignment, memberships & advice on EU partnerships & associations.
• Represent TU/e in relevant national sounding board on EU-funding to influence future EU work programmes and to acquire early information and understanding of developments.
• Liaise with Dutch Government such as the ministry of Economic Affairs and the ministry of Defense on EU-funding related matters (e.g. Dutch delegates in the relevant EU Programme Committees).
• Identify and communicate (e.g. through information sessions) relevant EU funding opportunities, including background information, to the TU/e community.
• Help understand the why behind the calls and who has written them.
• Provide feedback on project ideas and perform feasibility analyses of project summaries.
• Coordinate proposal initiatives on campus.
• Answer questions and provide support in the proposal writing process.
• Provide constructive feedback on grant proposals to improve the quality.
• Provide 2nd line support to departments and institutes.
• Stimulate and support researchers to develop a personal EU-growth strategy and network (a.o. through the EuroTech Universities Alliance).
• Develop and provide structured training for researchers (together with PDOs) and support staff
• Collaborate with colleagues in the TU/e Research Support Network and Research Support Office, colleagues from other central services and stakeholders on campus (e.g. department- and institute directors).
• Help in providing high quality management information (such as Research Funding Analyses).

Job Requirements
For this role, we are looking for a colleague who:

• Is familiar with the European R&I programmes & institutions and has a relevant network.
• Has experience in supporting researchers in applying for grants, preferably EU grants (notably Horizon, EDF).
• Having a background, experience and/or network in the field of Resilience, Security and Defence is an advantage.
• Having hands-on experience working in or with industry is an advantage.
• Possesses an academic level of thinking and working.
• Is skilled in communication and proficient in conveying and sharing knowledge.
• Has experience in delivering presentations/workshops.
• Has strong written and verbal proficiency in English. Proficiency in Dutch is an advantage.
• Can motivate professionals and coordinate their activities.
• Is proactive, customer-oriented, analytical, results-driven, and a networker.
• Works independently and flexibly.
• Is a teamplayer who collaborates effectively with colleagues both within and outside the EU Action Plan team.

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, depending on your knowledge and experience, up to €6,433 (scale 11 Collective Labour Agreement for Dutch Universities) or €7,297 (scale 12 Collective Labour Agreement for Dutch Universities) for a full-time position.
• In addition to holiday 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.

Information
Do you recognize yourself in this profile and would you like to have more information about the position, please contact the hiring manager: Wilfried Reincke, Programme leader of the EU Action Plan, w.t.h.reincke@tue.nl.

For questions about the application process or the conditions of employment, please contact HR Services on 040 – 247 4486, e-mail: HRServices.SupportUnits@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 by Sunday 11 January 2026 at the latest. First round of interviews are foreseen to be held on Tuesday 20 January 2026.

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.

EU Program Expert / EU Grant Advisor (with a preferable focus on Resilience, Security and Defense)

With the aim to further develop our core team, we are seeking an enthusiastic colleague to contribute to the successful execution of TU/e’s EU Action Plan. As one of the EU Program Experts / EU Grant Advisors you will provide academic staff and 1st tier support staff with strategic information in an early stage; you will support them in the entire process of call-selection, proposal-ideation, feasibility analyses, writing, reviewing and submitting proposals for European collaborative grants (such as Horizon Europe (mainly pillar 2), European Defence fund, Digital Europe). You will help setting up and running info sessions and a structured training programme for researchers, as well as a training programme for 1st tier support staff (train the trainer). You will help in extending well aligned external relations and cooperation of the RSN with our strategic partners (such as the EuroTech Universities Alliance and our key industry partners). Importantly, you will also help in the development of improved procedures, toolkits, templates, etc. that are being developed in the context of the EU Action Plan.

You will be hierarchically positioned in the grant support team of the Research Support Office, but content-wise in day-to-day operations part of the interdisciplinary EU Action Plan programme-team. This role offers a high degree of diversity and autonomy within the team and the university.

Tasks
Specific tasks include:

• Inform the TU/e community of longer-term and strategic developments in the EU funding landscape, and what it means for TU/e (researchers).
• Alignment, memberships & advice on EU partnerships & associations.
• Represent TU/e in relevant national sounding board on EU-funding to influence future EU work programmes and to acquire early information and understanding of developments.
• Liaise with Dutch Government such as the ministry of Economic Affairs and the ministry of Defense on EU-funding related matters (e.g. Dutch delegates in the relevant EU Programme Committees).
• Identify and communicate (e.g. through information sessions) relevant EU funding opportunities, including background information, to the TU/e community.
• Help understand the why behind the calls and who has written them.
• Provide feedback on project ideas and perform feasibility analyses of project summaries.
• Coordinate proposal initiatives on campus.
• Answer questions and provide support in the proposal writing process.
• Provide constructive feedback on grant proposals to improve the quality.
• Provide 2nd line support to departments and institutes.
• Stimulate and support researchers to develop a personal EU-growth strategy and network (a.o. through the EuroTech Universities Alliance).
• Develop and provide structured training for researchers (together with PDOs) and support staff
• Collaborate with colleagues in the TU/e Research Support Network and Research Support Office, colleagues from other central services and stakeholders on campus (e.g. department- and institute directors).
• Help in providing high quality management information (such as Research Funding Analyses).

PhD on ML accelerated simulations and uncertainty quantification of composites

Introduction
We are hiring! We have an open position for a PhD candidate in the exciting area of multiscale and multiphysics modelling of sustainable fibrous composites, with additional focus on uncertainty quantification and machine learning.

Job Description

• The context: Natural fiber reinforced materials are increasingly used as environmentally friendly alternatives for composite materials, due to the sustainability and circularity of the natural fibers (e.g. hemp, flex, bamboo). Natural fiber reinforced composites have applications in different engineering fields, including construction (used for insulation and load bearing members), automotive (used for interior components), and consumer products (e.g. in sporting products). The natural fibers used in these composites are sensitive to moisture-induced and chemical degradation. Moreover, they exhibit a high degree of variability in their composition and microstructure, which results in variability in their mechanical, thermal, and diffusion properties. Therefore, predictive modeling of the performance of these composites is a multidisciplinary problem centered around computational mechanics and engineering, potentially involving (i) multiphysics problems, (ii) multiscale methods, (iii) uncertainty quantification and (iv) machine learning.
• The project will focus on one or a combination of the following focus areas, tailored to the candidate’s expertise and interests:
  
  • Developing numerical models for the coupled mechanical-diffusive(-thermal-chemical) behavior of fiber-reinforced composites at the micro/meso-scale. These models will incorporate uncertainty via stochastic inputs, such as random field representations of spatially varying material properties. The resulting response will be analyzed using techniques such as Monte Carlo simulations.
  • Identifying the variability of the model parameters using Bayesian inference.
  • Quantifying the impact of microscale uncertainties on macroscale material performance through stochastic homogenization and uncertainty propagation methods, including Monte Carlo and Gaussian Process-based approaches.
  • o Integrating machine learning techniques to replace computationally expensive simulations and enable faster predictions while preserving uncertainty information.
• The successful candidate will work in the chair of Applied Mechanics, Department of the Built Environment, under the supervision of dr. Emanuela Bosco and dr. Payam Poorsolhjouy, as well as dr. Lars Beex (University of Luxembourg) . The chair of Applied Mechanics is responsible for education and research in the field of mechanics, working on multiscale, multi-physics and optimization problems related to the built environment. The chair is a member of the Graduate School of Engineering Mechanics, Netherlands. This graduate school offers PhD students an advanced training program in engineering mechanics, the core of which is a joint series of advanced graduate courses closely connected to state-of-the-art research themes.
• The successful candidate will interact closely with other PhD students (numerical and experimental) who work on other aspects of the mechanical and multiphysics behavior of heterogeneous materials.

Job Requirements

• A talented, motivated and enthusiastic researcher. Analytical skills, initiative and creativity are highly desired.
• A MSc-degree in Mechanical Engineering, Civil Engineering, Computational Mechanics, Mathematical Engineering or equivalent is required.
• A strong background in mechanics of materials and multi-scale and multi-physics methods is highly desired.
• Additional expertise in uncertainty quantification and/or machine learning techniques is advantageous.
• Interest to work in an interdisciplinary project that incorporates different fields of expertise, including analytical/computational frameworks, uncertainty quantification, and machine learnig to solve problems with significant social and industrial impact is beneficial.
• Excellent oral and writing skills in English are required (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.

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 or the conditions of employment. You can also contact hrservices.be@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.

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 on ML accelerated simulations and uncertainty quantification of composites

• The context: Natural fiber reinforced materials are increasingly used as environmentally friendly alternatives for composite materials, due to the sustainability and circularity of the natural fibers (e.g. hemp, flex, bamboo). Natural fiber reinforced composites have applications in different engineering fields, including construction (used for insulation and load bearing members), automotive (used for interior components), and consumer products (e.g. in sporting products). The natural fibers used in these composites are sensitive to moisture-induced and chemical degradation. Moreover, they exhibit a high degree of variability in their composition and microstructure, which results in variability in their mechanical, thermal, and diffusion properties. Therefore, predictive modeling of the performance of these composites is a multidisciplinary problem centered around computational mechanics and engineering, potentially involving (i) multiphysics problems, (ii) multiscale methods, (iii) uncertainty quantification and (iv) machine learning.
• The project will focus on one or a combination of the following focus areas, tailored to the candidate’s expertise and interests:
  
  • Developing numerical models for the coupled mechanical-diffusive(-thermal-chemical) behavior of fiber-reinforced composites at the micro/meso-scale. These models will incorporate uncertainty via stochastic inputs, such as random field representations of spatially varying material properties. The resulting response will be analyzed using techniques such as Monte Carlo simulations.
  • Identifying the variability of the model parameters using Bayesian inference.
  • Quantifying the impact of microscale uncertainties on macroscale material performance through stochastic homogenization and uncertainty propagation methods, including Monte Carlo and Gaussian Process-based approaches.
  • o Integrating machine learning techniques to replace computationally expensive simulations and enable faster predictions while preserving uncertainty information.
• The successful candidate will work in the chair of Applied Mechanics, Department of the Built Environment, under the supervision of dr. Emanuela Bosco and dr. Payam Poorsolhjouy, as well as dr. Lars Beex (University of Luxembourg) . The chair of Applied Mechanics is responsible for education and research in the field of mechanics, working on multiscale, multi-physics and optimization problems related to the built environment. The chair is a member of the Graduate School of Engineering Mechanics, Netherlands. This graduate school offers PhD students an advanced training program in engineering mechanics, the core of which is a joint series of advanced graduate courses closely connected to state-of-the-art research themes.
• The successful candidate will interact closely with other PhD students (numerical and experimental) who work on other aspects of the mechanical and multiphysics behavior of heterogeneous materials.

PhD in Electromagnetic and Thermal Design Optimization Framework

Introduction
Are you a motivated researcher with a strong background in applied low-frequency electromagnetics, or applied physics, or electromechanics? We are seeking a highly motivated PhD candidate to join our research team in an ambitious 5-year project AI-driven Holistic Design and Control Tools for Planar Motors. You’ll be part of an excellent team at the Electromechanics and Power Electronics (EPE) Group at the Department of Electrical Engineering, and work in a close collaboration with other two PhD students and PostDocs in the Control Systems group of Eindhoven University and Computational Design and Mechanics research group at Delft University of Technology.

Job Description
High-precision motion systems for semiconductor manufacturing demand extreme accuracy, high throughput, and minimal thermal losses, yet current design processes are slow and fragmented. This project tackles the challenge by developing AI-driven, multi-physics design tools that integrate electromagnetic, thermal, and mechanical aspects into one holistic optimization framework, enabling faster, cost-effective, and innovative electromechanical actuator designs.

As a PhD candidate in the Electromechanics and Power Electronics group, you will develop advanced electromagnetic and thermal modeling frameworks for MAGLEV planar motors with moving permanent magnets and stationary coils. Your work will include creating computationally efficient magnetostatic formulations, designing optimal winding and magnet configurations using inverse modelling technique, and coupling these with thermal and cooling strategies to ensure robust performance. You will implement topology and shape optimization techniques for complex geometries, integrate multi-physics constraints, and validate your models through experimental setups and performance measurements. The research will lead to robust software tools and real-world prototype demonstrations in close collaboration with seven leading partners from high-tech industry.

Job Requirements

• Master’s degree (or an equivalent university degree) in Electrical or Aerospace Engineering, Applied Physics, or Applied Mathematics.
• Very strong mathematical background, with knowledge of neural networks architectures.
• Ability to perform non-linear electromagnetic modeling, including IGA and coupling strategies, and to apply FE tools and electromechanical actuator design principles.
• Knowledge of programming languages, including Python and MATLAB, and of machine learning techniques.
• Experience with experimental work on electromechanical systems and with the measurement of magnetic material properties.
• Research-oriented attitude and ability to conduct high-quality academic research, reflected in demonstrable outputs.
• Good social and collaborative skills: ability to work in an interdisciplinary team and interest in collaborating with industrial partners.
• Fluent in spoken and written English (C1 level); knowledge of Dutch and German is a plus.
• Good scientific writing and documentation skills.
• Motivated to develop your teaching skills and coach students.

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.

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 know more? Please contact the hiring manager Prof. dr. E.A. Lomonova (e.lomonova@tue.nl) or dr. C. Ciuhu (c.ciuhu@tue.nl).

Visit our website for more information about the application process or the conditions of employment. You can also contact HR Services Flux, hrservices.flux@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.

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.