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.

PhD in Statistics

Introduction
Are you our next PhD candidate in functional data analysis? Are you passionate about developing statistical methodology for complex, dynamic data? Join our team to develop methods for estimating time-varying network structures and detecting structural changes in functional time series.

Job Description
In many scientific fields, observations are increasingly collected in the form of functions rather than simple numerical measurements. Examples include brain signals recorded continuously over time, and economic indicators observed as curves or distributions. Such functional time series often exhibit temporal dependence, non-stationarity, and complex non-Euclidean structures. These features contain valuable information, but they also make conventional statistical methods difficult to apply and can lead to unreliable conclusions.

Network structures provide a useful way to describe the relationships among the components of these complex data. In neuroscience, for example, connections between brain regions may be inferred from functional imaging signals rather than observed directly. Understanding which connections are present, how they evolve over time, and when structural changes occur is essential for scientific interpretation. Existing methods may produce false or missed connections when the observations are dependent, non-stationary, and non-Euclidean.

In this project, you will investigate theoretical tools for analysing dependence structures in functional time series. You will develop new methods and statistical softwares for constructing time-varying networks, detecting structural changes, and controlling false connections in complex settings. The proposed methods will contribute to deeper insights in distinguishing connections and changes from random variation in scientific studies. The PhD candidate will be supervised by Lujia Bai and Jeanine Duistermaat, and will publish in international scientific journals, participate in international conferences, and develop an independent research profile.

You will join the Statistics, Probability and Operations Research (SPOR) cluster in the Department of Mathematics and Computer Science at Eindhoven University of Technology. The cluster offers a collaborative research environment that connects time series analysis, functional data and network analysis. We work closely with external partners who drive innovation and growth, and our research is strongly embedded in applications such as anomaly detection, process monitoring and improvement, weather and climate forecasting, and statistical bioinformatics.

As an ideal candidate, you have a strong affinity for mathematical statistics and rigorous proofs, as well as a passion for developing and implementing novel methods and applying them to real-world data.

Job Requirements

• A master’s degree in Statistics, Mathematics, Econometrics or related majors.
• Motivated to develop your teaching skills and coach students.
• Fluent in spoken and written English (C1 level).
• Good programming skills preferably in R or Python. Experience in programming with C++.
• Prior knowledge in time series analysis, functional data analysis or functional analysis is of benefit .
• Excellent communication 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 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 Prof. dr. Jeanine Duistermaat, j.j.duistermaat@tue.nl.

Visit our website for more information about the application process. 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.
• 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.

Senior Accountant met bedrijfswagen

Als Accountant krijg je een gevarieerd takenpakket en ben je betrokken bij verschillende aspecten van de financiële administratie:

• Verzorgt de dagelijkse boekhouding van A tot Z en waakt over een correcte verwerking van de financiële gegevens.
• Staat in voor het boeken van aankoopfacturen & verkoopfacturen, zowel handelsgoederen als algemene kosten.
• Je verzorgt de maand-, kwartaal- en jaarafsluitingen en voert de nodige balansreconciliaties uit.
• Je verzorgt de fiscale aangiftes, waaronder btw- en vennootschapsbelasting.
• Verwerkt leasings, investeringen en financiële verrichtingen.
• Staat in voor het boeken en controleren van de banken.
• Verwerkt de lonen en sociale bijdragen op een correcte manier in de boekhouding.
• Bereidt betalingsbatches voor leveranciers voor en controleert deze.
• Volgt de debiteurenportefeuille op en zorgt mee voor een tijdige opvolging van openstaande posten.
• Ondersteun de analyse van de balans en P&L.
• Helpt mee bij externe audits.
• Werkt samen met de Finance Manager aan verschillende ad-hoc analyses en financiële projecten.

AZ Accountant met bedrijfswagen

Als Accountant krijg je een gevarieerd takenpakket en ben je betrokken bij verschillende aspecten van de financiële administratie:

• Verzorgt de dagelijkse boekhouding van A tot Z en waakt over een correcte verwerking van de financiële gegevens.
• Staat in voor het boeken van aankoopfacturen & verkoopfacturen, zowel handelsgoederen als algemene kosten.
• Je verzorgt de maand-, kwartaal- en jaarafsluitingen en voert de nodige balansreconciliaties uit.
• Je verzorgt de fiscale aangiftes, waaronder btw- en vennootschapsbelasting.
• Verwerkt leasings, investeringen en financiële verrichtingen.
• Staat in voor het boeken en controleren van de banken.
• Verwerkt de lonen en sociale bijdragen op een correcte manier in de boekhouding.
• Bereidt betalingsbatches voor leveranciers voor en controleert deze.
• Volgt de debiteurenportefeuille op en zorgt mee voor een tijdige opvolging van openstaande posten.
• Ondersteun de analyse van de balans en P&L.
• Helpt mee bij externe audits.
• Werkt samen met de Finance Manager aan verschillende ad-hoc analyses en financiële projecten.

Roostermaker

Als roostermaker heb je een afwisselende en belangrijke rol binnen onze school. Je zorgt ervoor dat leerlingen en docenten iedere dag kunnen werken met een duidelijk en actueel rooster. Je maakt het dagrooster, verwerkt veranderingen en houdt daarbij rekening met wat er op school nodig is. Daarnaast werk je aan het opstellen en beheren van het basisrooster.

Je werkt zelfstandig, houdt overzicht en schakelt snel wanneer de planning verandert. Je signaleert knelpunten, stemt waar nodig af en zorgt dat wijzigingen tijdig worden verwerkt en gecommuniceerd.

Je houdt je onder andere bezig met:

• het maken van het dagelijkse rooster in Zermelo;
• het verwerken van ziekmeldingen, uitval en wijzigingen;
• het controleren en publiceren van het dagrooster;
• het informeren van leerlingen en docenten over wijzigingen;
• het opstellen en beheren van het basisrooster;
• het signaleren en oplossen van knelpunten in de planning.

Je werkt van maandag tot en met vrijdag van 07:00 tot 11:30 uur. Het dagelijkse roosteren kan volledig vanuit huis. Voor het opstellen en aanpassen van het basisrooster werk je aan het begin en einde van het schooljaar op locatie.

Je werkt grotendeels achter de schermen, maar jouw werk draagt iedere dag bij aan rust, structuur en duidelijkheid binnen de school!

Over Meiberg College

Het Meiberg College is een kleinschalige havo/vwo-school voor voortgezet speciaal onderwijs (cluster-4) in Amsterdam-Zuidoost. Hier combineren we goed onderwijs, persoonlijke aandacht en passende ondersteuning. In een groene en ruime omgeving bieden we jongeren rust en ruimte om te leren en zich te ontwikkelen.

Dankzij de kleine klassen van maximaal 15 leerlingen en het betrokken team is er veel ruimte voor persoonlijk contact en kunnen we snel schakelen. Als docent krijg je hier de ruimte om leerlingen echt te leren kennen, aan te sluiten bij wat zij nodig hebben en van betekenis te zijn in hun ontwikkeling.