Management & Office Assistant

Introductie
Als Management/Office Assistant bied je secretariële en administratieve ondersteuning aan de medewerkers van de onderzoeksgroepen Fluids and Flows (F&F) en Materials Simulation and Modelling (MSM) binnen de faculteit Applied Physics and Science Education (APSE). De groepen F&F en MSM zijn gehuisvest in het Cascade-gebouw op de TU/e Campus. De F&F groep beschikt over bijna 700 m² laboratoria in Cascade voor experimenteel onderzoek. Met 10 (junior en senior) professoren, 4 ondersteunende medewerkers (inclusief technici), 4 deeltijd hoogleraren en circa 30 promovendi en postdocs bieden de onderzoeksgroepen een levendige en inspirerende onderzoekomgeving, perfect voor het onderbrengen van getalenteerde en ambitieuze wetenschappers, promovendi, postdocs en ondersteunend personeel. De F&F en MSM groepen zoeken een enthousiaste, nauwgezette en proactieve Management/Office Assistant die beide groepen ondersteunt.

Je gaat voor ongeveer 0,7 fte werken bij de Fluids and Flows (F&F) groep. De F&F groep doet onderzoek binnen het brede domein van stromende materie. Dit omvat de dynamica van vloeistoffen en gassen onder de meest uiteenlopende omstandigheden (zoals in microfluïdische stromingen, gassen in bijna-vacuümcondities en op geofysische schaal), meerfasen vloeistoffen, bijvoorbeeld emulsies zoals mayonaise, stromingen met faseovergangen, evenals stromingen van actieve materie zoals bewegingen in mensenmassa’s. We streven ernaar om wereldwijd leidend te blijven in deze onderzoeksgebieden door het vergroten van fundamenteel begrip, het ontwikkelen van nieuwe computationele en experimentele methoden en door verbinding te maken met maatschappelijke uitdagingen en industriële toepassingen. De groep herbergt ook een start-up waar fundamentele ontdekkingen worden toegepast ten behoeve van de hightech- en voedingsmiddelenindustrie.

Daarnaast zul je ook ongeveer 0,1 fte ondersteuning bieden aan de Materials Simulation and Modelling (MSM) groep binnen dezelfde faculteit. De MSM groep gebruikt simulaties om multifunctionele materialen te ontwerpen en processen te optimaliseren die te maken hebben met hernieuwbare energie en energie-efficiëntie. Hoewel de groep klein is, onderhoudt de MSM groep meerdere actieve nationale en Europese projecten waarvoor beperkte maar continue administratieve coördinatie nodig is (bijv. rapportages, bezoekers en groepsbijeenkomsten).

Functieomschrijving
In deze rol bied je secretariële en administratieve ondersteuning aan de medewerkers van de onderzoeksgroepen, zodat zij hun kerntaken optimaal kunnen uitvoeren. Jouw verantwoordelijkheden omvatten onder meer:

• Het organiseren van verschillende soorten vergaderingen en evenementen, zoals promoties, F&F- en MSM-colloquia, conferenties, etc.
• Het verzorgen van de administratieve systemen, procedures en taken van de groep met betrekking tot studenten, promovendi, personeel en bezoekers.
• Het bieden van basis administratieve ondersteuning bij projectrapportages, agendabeheer, coördinatie van vergaderingen, bezoekerslogistiek en communicatie met het faculteitsbureau. Deze activiteiten worden uitgevoerd op aanvraag en in nauwe afstemming met beide groepsvoorzitters en andere betrokkenen.
• Het bewaken van voortgang en efficiëntie binnen de onderzoeksgroep en/of projectteams door het coördineren en monitoren van afspraken, het creëren van documentatie (en documentatiesystemen), voortgangscontroles, etc.
• Communicatie binnen de groepen, waarbij je zorgt dat relevante informatie wordt gedeeld met zowel F&F als MSM. Je rapporteert aan de groepsvoorzitter van F&F, terwijl je direct contact onderhoudt met de groepsvoorzitter van MSM voor MSM-gerelateerde zaken.
• Het organiseren van sociale evenementen zoals groepsactiviteiten, jubilea en afscheidsmomenten.

Functie-eisen

• Secretariële en/of administratieve opleiding, minimaal op MBO-niveau.
• Enkele jaren ervaring in een vergelijkbare functie, bij voorkeur in een vergelijkbare werkomgeving.
• Uitstekende communicatieve vaardigheden in gesproken en geschreven Nederlands en Engels.
• Microsoft Office-vaardigheden en bereidheid om andere applicaties te leren.
• Organisatievermogen en de capaciteit om prioriteiten te stellen.
• Een proactieve, servicegerichte en flexibele persoonlijkheid.

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 bepaalde tijd contract van een jaar (0,8 fte), met uitzicht op een vaste aanstelling.
• Een maandsalaris van minimaal € 3.057,- tot maximaal € 3.985,- bij een fulltime dienstverband, afhankelijk van jouw kennis en ervaring (schaal 7 cao Nederlandse Universiteiten).
• Naast vakantiegeld, een structurele eindejaarsuitkering van 8,3%.
• Een gunstige regeling voor extra verlofdagen of een sabbatical.
• Een keuzemodel voor extra secundaire arbeidsvoorwaarden.
• Werktijden in overleg voor een optimale werk-privé balans.
• Ruimte voor jouw talent met doorgroeikansen en uitstekende ontwikkelmogelijkheden, zoals mentoring, workshops en coaching.
• Deels betaald ouderschapsverlof en een vergoeding voor reiskosten woon-werkverkeer, thuiswerken en internet.
• Een ruime werkgeversbijdrage aan de gunstige ABP-pensioenregeling.
• Toegang tot het moderne sportcentrum op de TU/e‑campus tegen een uitzonderlijk voordelig tarief.

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

Over ons
Wij zijn een toonaangevende internationale universiteit waar wetenschappelijke nieuwsgierigheid samenkomt met een pragmatische, hands‑on mentaliteit. We werken op een open en samenwerkingsgerichte manier met hightechindustrieën om complexe maatschappelijke uitdagingen aan te pakken. Onze verantwoordelijke en respectvolle benadering zorgt voor impact — vandaag én in de toekomst. TU/e is de thuisbasis van meer dan 13.000 studenten en ruim 7.000 medewerkers, samen een diverse en bruisende academische gemeenschap.

Onze universiteit bevindt zich in Brainport Eindhoven — een wereldwijd toonaangevende technologieregio met meer dan 7.000 hightechbedrijven en sterke R&D‑activiteiten. Brainport staat bekend om doorbraken op het gebied van AI, fotonica, halfgeleiders en geavanceerde maakindustrie. Het is een regio waar technologie in dienst staat van mensen en de samenleving. Meer informatie over de Brainport‑regio vind je hier.

De Faculteit Applied Physics and Science Education is een onderzoeksgedreven faculteit met uitstekende onderwijsprogramma's, allemaal met een sterke verbinding tussen onderzoek en onderwijs. Ons onderzoek is geclusterd in drie aandachtsgebieden: Fluids, Bio and Soft Matter (FBSM); Plasmas and Beams (PB); en Nano, Quantum and Photonics (NQP). Het is onze gezamenlijke ambitie om de volgende generatie 'engineers of the future' uit te rusten met de kennis en vaardigheden die ze nodig hebben om impact te maken op wetenschap, innovatie en de samenleving, van regionaal tot wereldwijd.

Informatie
Herken jij jezelf in dit profiel en wil je meer informatie over de functie? Neem dan contact op met de vacaturehouder prof. Herman Clercx, Professor en groepsvoorzitter van de F&F groep, h.j.h.clercx@tue.nl.

Voor vragen over het sollicitatieproces of de arbeidsvoorwaarden, neem contact op met Stefan van Luijk, HR adviseur: s.h.v.luijk@tue.nl.

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

Sollicitatie
Ben je geïnteresseerd? Via de solliciteerknop ontvangen we graag je CV en brief met motivatie en omschrijving van je kwalificaties. Zorg ervoor dat je alle gevraagde documenten toevoegt. Wij geven voorrang aan complete sollicitaties.

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!

Let op

• Je kunt online solliciteren. Sollicitaties die per e-mail en/of post worden verstuurd, worden niet in behandeling genomen.
• Een voorafgaande screening (bijvoorbeeld een Verklaring omtrent Gedrag of kennisveiligheidscheck) kan onderdeel zijn van de selectieprocedure. Voor meer informatie over de kennisveiligheidscheck, raadpleeg de Nationale Richtlijnen Kennisveiligheid.
• Wij verzoeken je geen contact met ons op te nemen voor ongevraagde diensten.

Research Engineer In Open-Source Machine Learning

Introduction
Would you like to work on open source software full-time? Do you want to be part of a team that does advanced AI research and builds tools to make machine learning research more accessible and reproducible? Join us to build the next generation of OpenML, an open platform for sharing AI artifacts.

Job Description
OpenML is a popular open science platform for sharing interconnected AI artifacts (e.g. datasets, models, and benchmarks) using open standards and structured APIs. Hosted at TU Eindhoven, OpenML serves over 300,000 users, has supported over 1,600 scientific studies, and won the Dutch Data Prize. We are looking for an excellent engineer to significantly redesign it and build the next generation of the OpenML platform.

There are two positions available:

• Position 1: Improve OpenML itself. This position is for 1.5 years, to start as soon as possible.
• Position 2: Integrate OpenML with other data and compute infrastructure. This position is for 3.5 years, to start around June-July 2026.

Position 1: Improve OpenML itself
This project will help strengthen the impact and sustainability of OpenML, by:

• Modernizing Infrastructure to simplify deployment and streamline community contributions.
• Improving Open Data, enriching OpenML metadata with FAIR-aligned elements (e.g. data cards and model cards), supporting diverse data types and modalities, and allowing integration with other open science infrastructures.
• Enhancing User Experience through better interfaces and collaboration features.
• Engaging the Scientific Community, ensuring that the platform meets the evolving needs of the open science community.

You will focus primarily on task 1 and 2, specific responsibilities include:

• Update the technical infrastructure components of OpenML to more modern and contributor-friendly technologies.
• Enrich metadata by building on community standards such as Croissant, including quality metrics, DOI references, data provenance (e.g. data cards and model cards) and responsible AI metadata.
• Extend support for more data modalities (e.g. imagery, time series, text, and multi-modal data), and domain-specific open data formats (e.g., genomic data).
• Streamline data loading into AI tools to facilitate AI experimentation in many scientific workflows.
• Update developer tools and documentation to speed up the onboarding of new community contributors and streamline maintenance.
• Close collaboration with another hire for the project based in Leiden University that focuses on task 3 and 4.

Position 2: Integrate OpenML with other data and compute infrastructure
For this position, you will help seamlessly integrate OpenML with other Dutch and international infrastructures (e.g., SURF, NLeSC, Hugging Face) to transform it into a next-generation, unified platform for AI:

• Allow people to access datasets and models uniformly from various hosting infrastructures.
• Easily train and benchmark AI models transparently on scalable computational infrastructure.
• Organize all data and results automatically for easier reuse and better reproducibility.

Specific key tasks include:

• Redesign the OpenML platform architecture to streamline federation.
• Update the OpenML backend and APIs to implement integrations with other APIs (e.g. Hugging Face libraries, Harvard Dataverse) and compute infrastructure.
• Improve experiment tracking from AI tools (e.g., PyTorch), using a tracking API or callbacks, with a focus on global community collaboration and better reproducibility.
• Accelerate AI-driven research: support team-based, real-time collaboration, share reproducible results via permalinks in papers, track impact metrics (e.g., dataset reuse), integrate with code repositories (e.g., GitHub) and publishing platforms (e.g,. ArXiv).
• Continuous infrastructure improvement, incorporating community feedback, improving scalability and simplifying maintenance.

Both positions are hosted by the research group on Advanced Models by Open Research & Engineering (AMOR/e), providing an ideal environment for advanced AI research and collaboration. You will work directly with AMOR/e’s engineering team, including Pieter Gijsbers, Subhaditya Mukherjee, and Joaquin Vanschoren.

You will also be supported by project partners in Leiden University, the SURF supercomputing center, and the Dutch e-Science Center. Beyond that, you work together with the wider OpenML community, especially the core contributors, as well as the Croissant community (led by Google and the Open Data Institute), and developers from other AI platforms such as Hugging Face.

For more information on the AMOR/e group, visit https://amore-labs.github.io
For more information on OpenML, visit https://www.openml.org
A more complete description of the positions is also available on the AMOR/e website.

Job Requirements

• Required: proficiency in Python
• Required: familiarity with at least some parts of our stack: Linux, Docker, web services, preferably also S3, Kubernetes, and Elasticsearch.
• Experience with open source development is an asset.
• A collaborative spirit and good communication skills (in English).
• A passion for AI.

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 €4,728 to maximum €6,433 for full-time employment for 1.5 years (position 1) or 3.5 years (position 2), depending on your knowledge and experience (scale 11 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.
• Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally affordable rate.

Here 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.

With over 110 (assistant, associate and full) professors, almost 300 PhD and EngD students, about 1.500 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 have more information about the position that is not on our website (https://amore-labs.github.io), please contact the hiring managers at amore@tue.nl.

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

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.

Digital Twin Developer & Federation Engineer

Introduction
Do you want to shape the future of Digital Twin education? Join us to create a federated Digital Twin platform that makes hands-on learning possible anywhere—supporting modern, hybrid education.

Job Description
As Technical Developer for the Digital Twin Federation Framework, you build and implement an abstract, easy-to-use platform that enables all university departments to integrate their digital twins into education. You develop the federation framework and the reusable building blocks (such as APIs, connectors, templates, and reference implementations) so teams can onboard their twins quickly and consistently without reinventing architecture.

In addition, you standardize the way digital twins are developed across the university by defining a clear Digital Twin development methodology and a shared Digital Twin lifecycle, from initial concept and modelling through integration, validation, deployment, operation, continuous improvement, and eventual retirement. You translate this lifecycle into practical guidance that departments can actually follow, including conventions for data models and interfaces, versioning, validation, and quality checks.

You also create and maintain a central repository of reusable models, tools, examples, and documentation that explains the process end-to-end and helps departments of different technical maturity levels succeed.

A key part of your role is communication and cooperation: you actively engage with departments to understand their educational and technical needs, convert those needs into clear requirements, and incorporate them into your approach and platform roadmap. The result is a framework that is adopted because it is supportive, consistent, and practical—enabling hands-on learning and hybrid education through accessible, reliable digital twins.

This 1.0 FTE position is funded for a two-year term, aligned with the DRIVE project’s scope and timeline.

Job Requirements

• Education & fundamentals: Bachelor’s or Master’s degree in Computer Science (or equivalent experience) with strong foundations in programming, OOP, data structures/algorithms, and distributed systems.
• Digital Twins & simulation mindset: Affinity with Digital Twin concepts (integration, modeling, lifecycle thinking) and interest in simulation-driven or model-based engineering approaches; experience with robotics/simulation is a plus.
• Software engineering & architecture: Strong development skills and proven ability to design maintainable solutions using clean architecture/patterns; able to deliver end-to-end software including secure user workflows (e.g., role-based access control).
• Integration & data: Experience building integrations and platform components, working with relational databases and SQL, and using Git/GitHub in collaborative workflows.
• Technology breadth (incl. gaming tech): Comfortable working with additional languages and frameworks when needed (e.g., C#, Java, C/C++, JavaScript, PHP; Laravel/ASP.NET or similar) and/or real-time 3D / gaming technologies used for visualization and interactive learning (e.g., Unity/Unreal or comparable engines).
• Collaboration & delivery: Strong communication and stakeholder collaboration skills; able to work in Agile teams and coordinate or lead work when needed.

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.
• Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally affordable rate.

Here 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.

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 have more information about the position, please contact the hiring manager: Prof.dr.ir. Michel Chaudron, m.r.v.chaudron@tue.nl.

For questions about the application process or the conditions of employment, please contact HR Services, hrservice.msc@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
• A letter of application with your motivation and a description of your qualifications
• Portfolio/links, demonstration relevant experience
• Also, add (at least one) referees: names, roles, contact details.

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.

Management & Office Assistant

In deze rol bied je secretariële en administratieve ondersteuning aan de medewerkers van de onderzoeksgroepen, zodat zij hun kerntaken optimaal kunnen uitvoeren. Jouw verantwoordelijkheden omvatten onder meer:

• Het organiseren van verschillende soorten vergaderingen en evenementen, zoals promoties, F&F- en MSM-colloquia, conferenties, etc.
• Het verzorgen van de administratieve systemen, procedures en taken van de groep met betrekking tot studenten, promovendi, personeel en bezoekers.
• Het bieden van basis administratieve ondersteuning bij projectrapportages, agendabeheer, coördinatie van vergaderingen, bezoekerslogistiek en communicatie met het faculteitsbureau. Deze activiteiten worden uitgevoerd op aanvraag en in nauwe afstemming met beide groepsvoorzitters en andere betrokkenen.
• Het bewaken van voortgang en efficiëntie binnen de onderzoeksgroep en/of projectteams door het coördineren en monitoren van afspraken, het creëren van documentatie (en documentatiesystemen), voortgangscontroles, etc.
• Communicatie binnen de groepen, waarbij je zorgt dat relevante informatie wordt gedeeld met zowel F&F als MSM. Je rapporteert aan de groepsvoorzitter van F&F, terwijl je direct contact onderhoudt met de groepsvoorzitter van MSM voor MSM-gerelateerde zaken.
• Het organiseren van sociale evenementen zoals groepsactiviteiten, jubilea en afscheidsmomenten.

Research Engineer In Open-Source Machine Learning

OpenML is a popular open science platform for sharing interconnected AI artifacts (e.g. datasets, models, and benchmarks) using open standards and structured APIs. Hosted at TU Eindhoven, OpenML serves over 300,000 users, has supported over 1,600 scientific studies, and won the Dutch Data Prize. We are looking for an excellent engineer to significantly redesign it and build the next generation of the OpenML platform.

There are two positions available:

• Position 1: Improve OpenML itself. This position is for 1.5 years, to start as soon as possible.
• Position 2: Integrate OpenML with other data and compute infrastructure. This position is for 3.5 years, to start around June-July 2026.

Position 1: Improve OpenML itself
This project will help strengthen the impact and sustainability of OpenML, by:

• Modernizing Infrastructure to simplify deployment and streamline community contributions.
• Improving Open Data, enriching OpenML metadata with FAIR-aligned elements (e.g. data cards and model cards), supporting diverse data types and modalities, and allowing integration with other open science infrastructures.
• Enhancing User Experience through better interfaces and collaboration features.
• Engaging the Scientific Community, ensuring that the platform meets the evolving needs of the open science community.

You will focus primarily on task 1 and 2, specific responsibilities include:

• Update the technical infrastructure components of OpenML to more modern and contributor-friendly technologies.
• Enrich metadata by building on community standards such as Croissant, including quality metrics, DOI references, data provenance (e.g. data cards and model cards) and responsible AI metadata.
• Extend support for more data modalities (e.g. imagery, time series, text, and multi-modal data), and domain-specific open data formats (e.g., genomic data).
• Streamline data loading into AI tools to facilitate AI experimentation in many scientific workflows.
• Update developer tools and documentation to speed up the onboarding of new community contributors and streamline maintenance.
• Close collaboration with another hire for the project based in Leiden University that focuses on task 3 and 4.

Position 2: Integrate OpenML with other data and compute infrastructure
For this position, you will help seamlessly integrate OpenML with other Dutch and international infrastructures (e.g., SURF, NLeSC, Hugging Face) to transform it into a next-generation, unified platform for AI:

• Allow people to access datasets and models uniformly from various hosting infrastructures.
• Easily train and benchmark AI models transparently on scalable computational infrastructure.
• Organize all data and results automatically for easier reuse and better reproducibility.

Specific key tasks include:

• Redesign the OpenML platform architecture to streamline federation.
• Update the OpenML backend and APIs to implement integrations with other APIs (e.g. Hugging Face libraries, Harvard Dataverse) and compute infrastructure.
• Improve experiment tracking from AI tools (e.g., PyTorch), using a tracking API or callbacks, with a focus on global community collaboration and better reproducibility.
• Accelerate AI-driven research: support team-based, real-time collaboration, share reproducible results via permalinks in papers, track impact metrics (e.g., dataset reuse), integrate with code repositories (e.g., GitHub) and publishing platforms (e.g,. ArXiv).
• Continuous infrastructure improvement, incorporating community feedback, improving scalability and simplifying maintenance.

Both positions are hosted by the research group on Advanced Models by Open Research & Engineering (AMOR/e), providing an ideal environment for advanced AI research and collaboration. You will work directly with AMOR/e’s engineering team, including Pieter Gijsbers, Subhaditya Mukherjee, and Joaquin Vanschoren.

You will also be supported by project partners in Leiden University, the SURF supercomputing center, and the Dutch e-Science Center. Beyond that, you work together with the wider OpenML community, especially the core contributors, as well as the Croissant community (led by Google and the Open Data Institute), and developers from other AI platforms such as Hugging Face.

For more information on the AMOR/e group, visit https://amore-labs.github.io
For more information on OpenML, visit https://www.openml.org
A more complete description of the positions is also available on the AMOR/e website.