Shop Manager - Wevelgem

Bij e5 Fashion draait alles rond mensen — en dat voel je meteen zodra je onze boetiek binnenstapt.

Je leidt een team dat samen vooruit wil.
Waar collega’s elkaar versterken, verantwoordelijkheid opnemen en trots zijn op wat ze neerzetten.

Je krijgt vertrouwen, verantwoordelijkheid en de ruimte om mee te bouwen aan een sterke boetiek; een plek waar klanten zich goed voelen en graag blijven terugkomen.

PhD in Control Theory for Learned Operators in Dynamical Systems

Introduction
Are you fascinated by the intersection of control theory and scientific machine learning? Join us in developing the mathematical foundations needed to make deep operators reliable, robust, and applicable for control of complex engineering systems. In this PhD project, you will investigate how operator-learning models can represent dynamical systems, how their stability and robustness can be characterized, and how controllers can be designed for them. Your work will combine rigorous theory, numerical methods, and applications in high-tech, medical, and energy systems.

Job Description
Modern engineering increasingly relies on data-driven models to describe complex dynamical systems. Scientific machine learning is now enabling a new class of models that learn operators mapping system inputs and initial conditions directly to system responses. These learned operators offer exciting opportunities for efficient simulation, digital twins, optimization, and control.

In this PhD project, you will develop a new systems and control theory for learned operators, bridging modern scientific machine learning with classical control theory. Rather than focusing on a single machine-learning architecture, you will establish mathematical principles that apply across a broad class of operator-learning methods, including current and future deep operator models.

Your research will investigate fundamental questions such as: when does a learned operator admit an equivalent state-space representation? How can stability, contraction, dissipativity, robustness, and other system-theoretic properties be defined and guaranteed directly in the operator domain? And how can feedforward, feedback, and predictive controllers be designed for systems represented by learned operators? You will combine analytical theory with numerical implementation and validate the developed methods on industrially relevant applications in the high-tech, medical, and energy sectors.

You will become part of the Dynamics and Control group at the Department of Mechanical Engineering at Eindhoven University of Technology, under the supervision of dr.ir. Fahim Shakib and prof.dr.ir. Nathan van de Wouw. You will contribute to research at the intersection of systems and control theory, scientific machine learning, operator theory, optimization, and applied mathematics. You will work in an interdisciplinary environment with opportunities to collaborate with academic and industrial partners. You will be part of a vibrant and socially interactive group of approximately 35 researchers in the field of dynamical systems and control.

Job Requirements

• A master’s degree (or an equivalent university degree) in Systems and Control, Mechanical Engineering, Electrical Engineering, Applied Mathematics, or a closely related field. A research-oriented attitude.
• Experience with and a strong interest in machine learning and artificial intelligence, and enthusiasm for combining these methods with systems and control theory.
• Excellent analytical and mathematical skills, with an interest in developing new theoretical results.
• An enthusiasm for combining theoretical research with numerical implementation.
• A research-oriented attitude and a strong curiosity for fundamental research.
• The ability to work independently while contributing effectively to an interdisciplinary research team and with industrial partners.
• 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.
• Generous leave options: a standard 29 days (based on a 38 hour working week) per year that you can increase to 41 days by working two hours more per week (flexible working hours). This is prorated if you work part-time.
• 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 Fahim Shakib, Assistant Professor, m.f.shakib@tue.nl.

Visit our website for more information about the application process. You can also contact Fahim Shakib, Assistant Professor, m.f.shakib@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.

Postdoc Aircraft Noise Computations from Installed Propeller-Fuselage Interaction

Job description

A key challenge for the successful deployment of Clean Aviation’s Ultra-Efficient Regional Aircraft (UERA) concept is the achievement of passenger acceptable cabin acoustic performance under stringent aircraft level constraints. In SILENTIUM, the UERA use case is defined as a hybrid-electric regional turboprop aircraft carrying more than 50 passengers, with expected entry into service from 2035.Turboprop aircraft generate a demanding noise and vibration environment, including low frequency tonal propeller components, broadband turbulent boundary layer excitation and structure borne transmission paths.

Cabin acoustic treatment is therefore an enabling element for the UERA concept, provided that selected solutions do not undermine the aircraft level efficiency gains targeted by Clean Aviation. TUD is advertising a Postdoc position to lead the characterization of installed propeller/TBL related excitations and their impact on fuselage with high fidelity simulations. Simulations at the isolated, installed and full scale aircraft level will be carried out to study the hydrodynamic forcing to the source of cabin noise in the present aircraft configuration.

Job requirements
The candidate should have:

• a MSc degree in Engineering, Physics or Mathematics, an area relevant to the subject,
• good analytical skills and a strong interest in performing experiments is required.
• a solid knowledge of signal processing and mathematical theories,
• advanced programming skills are advantageous for these positions.

As the project is part of a larger research program, practical interactions and collaborative skills are important too.

TU Delft (Delft University of Technology)
Working at TU Delft means contributing to solutions that really make a difference.

For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future.

At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional. Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward.

Faculty Aerospace Engineering
The Faculty of Aerospace Engineering at Delft University of Technology is a leading international community where innovation in aerospace meets global challenges. Our support and scientific staff, including PhD candidates, postdocs, and students, largely work together on three main themes: the energy transition, sustainable aerospace, and safety and security, with the aim of tackling climate change and contributing to the independence and security of Europe.

When you join us, you become part of a diverse, collaborative, and forward-thinking environment where your ideas and perspectives are valued. Our work extends beyond the lab—into field labs, innovation hubs, and partnerships with other faculties, research institutes, governments, and industry, both locally and globally.

We are committed to fostering an inclusive and welcoming workplace, assisted by an active Diversity & Inclusion team. This includes tangible support such as funding for extra personnel for family and caregiving responsibilities, mentoring programmes, and initiatives that promote cultural exchange and integration.

You don’t just join our faculty — you join a community where you can thrive, grow, and help shape the future of aerospace.

Click here to go to the website of the Faculty of Aerospace Engineering.

Expert System Admin Met Bedrijfswagen

• Je werkt hands-on met Microsoft-technologieën en past netwerkkennis rond TCP/IP-routering en VLAN’s toe in de praktijk.
• Je verzorgt de volledige IT-ondersteuning voor klanten en zorgt voor een kwalitatieve service binnen zowel kleine als grotere omgevingen.
• Je behandelt complexere installaties en technische storingen in uiteenlopende sectoren met specifieke noden.
• Je denkt proactief mee met klanten om hun IT-omgeving optimaal af te stemmen op huidige en toekomstige behoeften.
• Je vertaalt IT-vereisten naar passende oplossingen die aansluiten bij bestaande en toekomstige bedrijfsprocessen.
• Je werkt nauw samen met collega’s, deelt kennis en gebruikt elkaar als klankbord om tot de beste oplossing te komen.

University Teacher Data Analytics and AI (Full-time or Part-time)

Introduction
Do you enjoy inspiring the next generation of professionals? Are you enthusiastic about data analytics and AI? We are looking for a university teacher to develop and teach courses on data analytics and AI, possibly next to a job, PhD, or Post-doc position they are already fulfilling.

Job Description
We are seeking a University Teacher to teach courses in data analytics and AI and to supervise student projects, including bachelor’s and master’s thesis projects. Teaching responsibilities include developing and continuously updating course materials based on the latest scientific advances. This is especially important in the rapidly evolving fields of data analytics and AI, because courses must incorporate up-to-date AI methods, tools, and techniques. At the same time, students need to develop the skills to use AI responsibly and effectively as part of their learning process. You will play a key role in equipping students with both a strong theoretical foundation and the practical competencies to do this.

The position is based in the Information Systems group, in the Industrial Engineering and Innovation Sciences (IE&IS) department at Eindhoven University of Technology. You will be working with our professors, PhD students, and teaching assistants to deliver high-quality education. The Information Systems group develops methods, tools, and techniques that support the entire lifecycle of Information Systems development, including advanced analytics and AI. It focuses on leveraging data analytics and AI to enhance organizational decision-making. Applications across various sectors are studied, with a focus on healthcare, transportation and logistics, services, smart industry, mobility, and energy. As a member of the group, you will contribute to teaching students how to improve organizational decision making with data science and AI.

In this role, you will be responsible for developing and delivering high-quality course materials, teaching lectures and tutorials, designing assignments and exams, and supervising student projects, including bachelor’s and master’s thesis projects. In addition, 20% of your time will be dedicated to education-related research.

The position is initially offered for a period of six months on a full-time basis or up to twelve months on a part-time basis. The appointment can be combined with another part-time position, such as a role at another institution or an existing PhD or postdoctoral appointment at TU/e. Depending on performance and available funding, there may be opportunities to extend the appointment or move to a permanent position.

This position offers a unique opportunity to contribute to the education of the next generation of data analytics and AI professionals, while helping shape the future of AI education at the university.

Job Requirements
The successful candidate will meet most of the following requirements:

• You have a Master's or PhD degree in Data Science, AI, Computer Science, Industrial Engineering, or a similar field of study.
• You possess strong programming skills, preferably in Python, and are comfortable applying them in data analytics and AI contexts.
• You have a strong interest in education and some prior teaching experience, for example as a teaching assistant.
• You enjoy collaborating in (teaching) teams.
• Your communication skills are excellent as is your proficiency in English and your ability to collaborate in an international setting.
• Experience with the Dutch or broader European higher education system is considered a strong advantage.

The preferred starting date is January 1, 2026. A later date by up to 2 months is negotiable, but not preferred.

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, scale 10 or 11, ranging from € 3,706 to € 6,682 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.
• Generous leave options: a standard 29 days (based on a 38 hour working week) per year that you can increase to 41 days by working two hours more per week (flexible working hours). This is prorated if you work part-time.
• 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.
• 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.
• 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.

Information
Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring manager Remco Dijkman, Chair of Information Systems, r.m.dijkman@tue.nl or +31 40 247 4370.

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
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. Please note that incomplete applications may not be considered and could be rejected.

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.
• Please do not contact us for unsolicited services.