PhD on Decision-Making using Structural (Mixed) Integer Programs

Introduction
Within this PhD project, you will explore the power and versatility of structural (mixed) integer programs. We focus on integer programs with well-behaved constrained matrices whose structure can be exploited by algorithms, leading to efficient solvability. Due to the development of such algorithms, structured integer programs play a critical role in many decision-making processes leading to improved operational efficiency, and cost reductions. Our goal is to extend this connection, with a focus on problems related to collective decision-making, voting, and (fair) resource allocation. Through this work, you will contribute to building stronger theoretical foundations for structural optimization, to designing new algorithms for such integer programs, and to applying structured integer programs to various domains.

Job Description
You will work under the supervision of Alexandra Lassota and Frits Spieksma in the Combinatorial Optimization group (link) within the Department of Mathematics and Computer Science at TU/e. Your responsibilities include to perform scientific research on the topic of the above-mentioned project, and to publish and present your results at international venues. For a small percentage of your time, you will be asked to assist with educational tasks (course support and supervision of students).

Job Requirements

• You have a bachelor and master degree in Mathematics, Computer Science, or Econometrics.
• You have a strong background in Combinatorics and Complexity Theory.
• You have good communication skills and like occasional travels.
• You are creative, ambitious, as well as self-motivated, proactive, and goal-oriented.
• You have a good command of the English language (knowledge of Dutch is not required).

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.

Information and application

About us
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.

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

Information
Do you recognize yourself in this profile and would you like to know more? Visit our website for more information about the application process or the conditions of employment.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

For more information about the project or about the working conditions, please contact Alexandra Lassota (a.a.lassota@tue.nl) or Frits Spieksma (f.c.r.spieksma@tue.nl).

Application
We invite you to submit a complete application by using the apply button.

Besides personal and contact information, you should upload the following documents as PDFs:

• A cover letter in which you describe your motivation, research experience, interests, and qualifications for the position.
• A curriculum vitae, including a list of publications (if existing) and two academic references. We do not need reference letters at this stage.
• B.Sc. and M.Sc. transcripts

Do not upload any other documents.

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 Chapter 8 of the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services.

PhD on Decision-Making using Structural (Mixed) Integer Programs

You will work under the supervision of Alexandra Lassota and Frits Spieksma in the Combinatorial Optimization group (link) within the Department of Mathematics and Computer Science at TU/e. Your responsibilities include to perform scientific research on the topic of the above-mentioned project, and to publish and present your results at international venues. For a small percentage of your time, you will be asked to assist with educational tasks (course support and supervision of students).

Web Developer (short-term, 2 months) In Open-Source Machine Learning

Introduction
Join our team to help build the next version of openml.org to support machine learning education. We are looking for a creative web developer to create engaging and informative extensions for OpenML.org, including leaderboards for classroom challenges and dashboards to explore model performance.

Job Description
We are seeking a motivated Web Developer for a short-term position (until 31 December 2025) to contribute to OpenML.org, a global platform for open machine learning. You’ll be part of a dynamic team of engineers dedicated to making machine learning more accessible and create an engaging environment for students.

Snapshot
This role focuses on creating new educational tools on the next version of OpenML.org, a popular machine learning platform that supports researchers, educators, and students worldwide. You will develop extensions that help students learn about machine learning in a hands-on, interactive way.

The team
You’ll be part of the OpenML engineering team, part of the research groups on Advanced Models through Open Research and Engineering (AMORE), and the open source community behind OpenML. We are a team of scientists and engineers who aim to deeply understand, explain, and build AI systems. Learn more about us here: https://amore-labs.github.io.

The role
We are looking for a skilled web developer with experience in frameworks like React and Next.js. In this role, you will help create and fine-tune new features for OpenML.org with a focus on education. You will help create leaderboards for classroom challenges, and interactive dashboards to explore machine learning model performance and structure.

Key responsibilities:

• Development of a web-based machine learning platform.
• Interactive visualization of machine learning models and results.
• Building and maintaining open-source web applications.
• User interface and user experience design for education.

Impact
OpenML is a popular open machine learning platform with over 300.000 users and is used directly or indirectly in over 1,000 university courses. Your work will directly affect a wide audience of machine learning students, researchers, and practitioners. Gain invaluable new skills in open source development as you help democratize AI, and help educate the next generation of AI experts.

This research will be performed under the supervision of professor Joaquin Vanschoren, in collaboration with open source contributors from several key European research labs and industrial partners.

Job Requirements

• A master’s degree (or equivalent experience) in Computer Science or a related field.
• Deep knowledge of React and Next.js. Knowledge of Plotly Dash is an asset.
• Experience in programming and web development. Open source development experience is an asset.
• Excellent problem-solving skills and the ability to work independently and collaboratively.
• 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 2 months.
• Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 9 (min. €3,708 max. €5,057).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs on general skills, didactics and topics related to research and valorization.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• Partially paid parental leave and an allowance for commuting, working from home and internet costs.
• A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.

More information
Do you recognize yourself in this profile and would you like to have more information about the position, please contact the hiring manager: Joaquin Vanschoren, Associate Professor, j.vanschoren@tue.nl.

For questions about the application process or the conditions of employment, please contact Pieter Gijsbers, Research engineer, p.gijsbers@tue.nl.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application
We invite you to submit a complete application using the apply-button. The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your main achievements.

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.

Important note 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.

Web Developer (short-term, 2 months) In Open-Source Machine Learning

We are seeking a motivated Web Developer for a short-term position (until 31 December 2025) to contribute to OpenML.org, a global platform for open machine learning. You’ll be part of a dynamic team of engineers dedicated to making machine learning more accessible and create an engaging environment for students.

Snapshot
This role focuses on creating new educational tools on the next version of OpenML.org, a popular machine learning platform that supports researchers, educators, and students worldwide. You will develop extensions that help students learn about machine learning in a hands-on, interactive way.

The team
You’ll be part of the OpenML engineering team, part of the research groups on Advanced Models through Open Research and Engineering (AMORE), and the open source community behind OpenML. We are a team of scientists and engineers who aim to deeply understand, explain, and build AI systems. Learn more about us here: https://amore-labs.github.io.

The role
We are looking for a skilled web developer with experience in frameworks like React and Next.js. In this role, you will help create and fine-tune new features for OpenML.org with a focus on education. You will help create leaderboards for classroom challenges, and interactive dashboards to explore machine learning model performance and structure.

Key responsibilities:

• Development of a web-based machine learning platform.
• Interactive visualization of machine learning models and results.
• Building and maintaining open-source web applications.
• User interface and user experience design for education.

Impact
OpenML is a popular open machine learning platform with over 300.000 users and is used directly or indirectly in over 1,000 university courses. Your work will directly affect a wide audience of machine learning students, researchers, and practitioners. Gain invaluable new skills in open source development as you help democratize AI, and help educate the next generation of AI experts.

This research will be performed under the supervision of professor Joaquin Vanschoren, in collaboration with open source contributors from several key European research labs and industrial partners.

Medewerker Financial Support / Accounts Payable (0.6 fte)

Binnen de Financiële Administratie van F&C is een vacature ontstaan van Medewerker Financial Support & Accounts Payable.

Functieomschrijving
Binnen deze functie heb je een breed takenpakket. Je verzorgt de inkomende factuurstroom en overige uitgaande geldstromen. Je beoordeelt, begeleidt en verwerkt reisvoorschot aanvragen en declaraties van medewerker(s). Verder richt jij je op diverse generieke financiële administratieve processen voor de verschillende eenheden binnen de TU/e. Zodanig dat de informatiestroom en documentenstroom juist, tijdig en volledig verloopt.

De werkzaamheden zijn belegd binnen twee teams van de financiële administratie. De crediteuren administratie (Accounts Payable) en het Financial Support Team. Dit team richt op de declaraties van medewerkers en de overige financiële processen.

Door diverse ontwikkelingen op de diverse werkzaamheden en processen, is het de verwachting dat de samenwerking tussen deze teams verder ontwikkeld wordt.

Werkzaamheden:

• Je bent verantwoordelijk voor de factuur en declaratie verwerking (registeren, boeken, controle op juistheid en volledigheid);
• Verzorgt de stamdata van de crediteuren;
• Je bewaakt de afloop van crediteuren;
• Interpreteert gegevens en legt verbanden met andere informatie en corrigeer je onjuistheid of verschillen, t.b.v. een accurate crediteurenadministratie;
• Voortgang financiële processen ondersteunen, inclusief rework;
• Reisaanvragen financieel controleren;
• Verwerken van de reisdeclaraties;
• Verrekenen van de voorschotten;
• Verzorgen van verkoop facturen;
• Afhandelen van doorbelastingen;
• Je bent het eerste aanspreekpunt voor financiële administratieve vragen. Het FS team is namelijk bereikbaar voor collega's binnen de TU/e met vragen over de administratieve processen.
• Je geeft uitleg over administratieve processen aan gebruikers/deelnemers van die processen, vooral bij nieuwe collega's. Dit is gericht op het structureel delen van kennis met en trainen van collega’s die een aandeel hebben in een of meerdere van de administratieve processen.

Functie-eisen

• Minimaal een afgeronde opleiding op MBO niveau op het gebied van Finance, of vergelijkbaar;
• 2 tot 5 jaar relevante inhoudelijke werkervaring binnen een vergelijkbare financiële administratieve omgeving heeft de voorkeur, maar een gemotiveerde starter is ook welkom;
• Je werkt conform afgesproken procedures, maar weet deze ook te vertalen naar praktische casussen die extra aandacht nodig hebben;
• Je bent proactief en neemt initiatief;
• In staat om zelfstandig te werken. Je lost vraagstukken in je dagelijkse werk liefst zoveel mogelijk zelfstandig op, maar weet je je collega’s tijdig te vinden bij vragen;
• Een goede beheersing van het Nederlands, zowel mondeling als schriftelijk.
• Je handelt proactief op problemen die je in je werk tegenkomt. Dus niet alleen signaleren
• Bij voorkeur ben je bekend met Unit4 ERPX en Proactis.

Twijfel je of je voldoende aan de eisen voldoet, maar word je wel enthousiast van deze baan? Dan nodigen we je toch uit om te reageren – we kijken graag naar je profiel.

Arbeidsvoorwaarden
Een boeiende positie binnen een internationale en tegelijkertijd persoonlijke universiteit. Je zit midden tussen de studenten, op een groene campus op loopafstand van het centraal station. Daarnaast bieden we jou:

• Een dynamische, stimulerende en uitdagende werkomgeving met doorgroeimogelijkheden en aandacht voor persoonlijke ontwikkeling;
• Bij de functie hoort een prima salaris, de functie is ingedeeld in schaal 6 van de CAO Nederlandse Universiteiten en afhankelijk van opleiding en ervaring bedraagt dit minimaal € 3.029,- en maximaal € 3,623,- bruto per maand op fulltime basis (38 uur);
• We hebben aantrekkelijke secundaire arbeidsvoorwaarden zoals 41 vakantiedagen bij een 40-urige werkweek, 8% vakantiegeld, 8,3% eindejaarsuitkering, een ruime werkgeversbijdrage aan de ABP-pensioenregeling, een keuzemodel arbeidsvoorwaarden, betaald ouderschapsverlof, kinderopvang op de campus én uitstekende sportfaciliteiten. Voor meer informatie, zie ook: Arbeidsvoorwaarden TU/e;
• Mocht je nog niet in dienst zijn bij de TU/e, dan betreft het bij de start eerst een jaarcontract, met uitzicht op een dienstverband voor onbepaalde tijd;
• Leren en ontwikkelen vinden we belangrijk. Daarom bieden we je gratis toegang tot trainingsprogramma's en een gunstige regeling voor werk-gerelateerd studeren;
• De TU/e ondersteunt hybride werken; met het oog hierop wordt er een thuiswerkvergoeding van € 2,- per thuiswerkdag gegeven en een internetvergoeding van € 25,- per maand. En parttime en flexibel werken is ook mogelijk in deze positie;
• Een stimulerende en uitdagende werkomgeving in een leuk team.

Hier ontdek je nog meer informatie over onze arbeidsvoorwaarden. Bouw verder aan je carrière bij de TU/e!

Informatie & sollicitatie
Herken jij jezelf in dit profiel en wil je meer informatie over de functie? Neem dan contact op met de vacaturehouder: dhr. Gertjan van Lieshout (Manager Finance), telefoon 040 – 247 8105, g.h.v.lieshout@tue.nl.

Voor vragen over het sollicitatieproces of de arbeidsvoorwaarden, neem contact op met HRServices.units@tue.nl.

Nieuwsgierig geworden? Op www.tue.nl/jobs vind je meer over werken bij de TU/e.

Sollicitatie
Ben je geïnteresseerd? Via de solliciteer-knop ontvangen we graag je CV en brief met motivatie en omschrijving van je kwalificaties.

De screening van kandidaten begint zodra de sollicitaties zijn ontvangen en gaat door totdat de vacature is ingevuld. Indien van toepassing, krijgen interne kandidaten bij gelijke geschiktheid voorrang op externe kandidaten.

We kijken uit naar je sollicitatie!