Informatie- en collectiespecialist

Functieomschrijving

De TU Delft Library ondersteunt studenten, docenten en onderzoekers met een brede digitale collectie aan kennisbronnen. Achter de schermen zorgen we ervoor dat deze bronnen goed beschreven en toegankelijk blijven.

Als beheerder van het Library Management System (LMS) ben je een centrale schakel binnen de collectieadministratie van de TU Delft Library. Je verzorgt onder andere het beheer van collecties, licenties, financiele administratie en bewaakt de datakwaliteit. Daarbij zorg je ervoor dat het systeem niet alleen goed functioneert, maar je levert ook waardevolle input voor tactische en strategische collectiebeslissingen en werkt samen met het collectieteam aan oplossingen voor vraagstukken rond toegang, gebruik en inrichting van de digitale collectie.

In je dagelijkse werk onderhoud je intensief contact met uitgevers. Je volgt prijsontwikkelingen, wijzigingen in licentievoorwaarden en eventuele leveringsproblemen en onderneemt actie wanneer dat nodig is. Je schakelt gemakkelijk tussen gesprekspartners: van internationale uitgevers en ICT-specialisten tot docenten en collega’s binnen de Library. Je kunt technische of complexe vraagstukken vertalen naar begrijpelijke informatie en kiest een aanpak die aansluit bij de situatie.

Binnen het team Metadata & Collection Services vervul je een verbindende en coördinerende rol. Je stemt werkzaamheden af, beheert en optimaliseert werkafspraken en procesbeschrijvingen en bent het aanspreekpunt voor collega’s met inhoudelijke of procesmatige vragen. Daarnaast draag je actief bij aan het beheer en de verbetering van metadata, waardoor de kwaliteit en vindbaarheid van onze digitale collecties wordt versterkt. Ook neem je initiatief in projecten die gericht zijn op het verbeteren van onze digitale dienstverlening, bijvoorbeeld door de zichtbaarheid van studiecollecties te vergroten of werkprocessen te verfijnen. Met jouw nauwkeurigheid, analytische blik en samenwerkingsgerichtheid draag je bij aan een toekomstbestendige informatievoorziening binnen de TU Delft Library.

Belangrijkste taken en verantwoordelijkheden

1. Collectiebeheer & administratie

• Je beheert collecties binnen het library management systeem
• Je voert de acquisitie en het administratieve beheer van e-resources uit, inclusief licentie- en factuurinformatie
• Je monitort gebruiksstatistieken en stelt rapportages op over collectiegebruik

2. Toegang & communicatie:

• Je speelt een actieve rol in het waarborgen van de toegang tot e-resouces en pakt toegangsproblemen effectief en oplossingsgericht aan
• Je onderhoudt contact met leveranciers en SURFmarket over toegang, facturen, licentievoorwaarden, technische ondersteuning, bestellingen en dergelijke
• Je informeert gebruikers over toegangsvoorwaarden en het gebruik van e-resources
• Je voert metadata in, controleert deze en verrijkt ze volgens geldende standaarden

3. Samenwerking en kennis delen:

• Je beschikt over sterke organisatorische vaardigheden, behoudt het overzicht, coördineert werkzaamheden en stemt af met collega’s en externe partners
• Je vervult daarnaast een rol als key-user van het library management systeem en bent het eerste aanspreekpunt voor collega’s en je leidinggevende bij vakinhoudelijke vragen
• Je combineert zelfstandigheid met een sterke teamgeest en draagt actief bij aan teamprestaties
• Je werkt samen met interne afdelingen (zoals Physical Collections, Academic Heritage, History & Art en ICT) om het beheer van collecties en metadata te optimaliseren
• Je beantwoordt vragen van gebruikers via Topdesk en andere kanalen

4. Procesoptimalisatie & ontwikkeling:

• Je stelt werkprocessen en werkinstructies op, onderhoudt ze en draagt bij aan hun verbetering
• Je volgt (inter)nationale ontwikkelingen rondom e-resourcebeheer
• Je neemt deel aan projecten voor de vernieuwing en verbetering van diensten en systemen

Functie-eisen

• HBO werk- en denkniveau
• Je werkt nauwkeurig en gestructureerd, met oog voor detail bij het organiseren en verrijken van informatie
• Je communiceert efficiënt en duidelijk, zowel binnen het team als met andere afdelingen en externe partners
• Je voelt je comfortabel bij het werken met verschillende systemen en tools (zoals LMS en e-resource platforms), leert nieuwe software snel en hebt plezier in het ontdekken van innovatieve oplossingen
• Je hebt ervaring met metadata en bibliografische standaarden (MARC21) of je bent gemotiveerd en in staat om deze snel eigen te maken
• Je bent een echte teamspeler die anderen motiveert en ondersteunt
• Je communiceert moeiteloos in Nederlands en Engels, zowel schriftelijk als mondeling.

TU Delft
De Technische Universiteit Delft heeft een sterk fundament. Als bouwer van de wereldberoemde Nederlandse waterwerken en pionier in biotech is TU Delft een internationale topuniversiteit die wetenschap, engineering en design combineert. TU Delft staat voor onderwijs, onderzoek en innovatie van wereldklasse om uitdagingen op het gebied van energie, klimaat, mobiliteit, gezondheid en digitale maatschappij aan te gaan. Generaties Delftse ingenieurs hebben bewezen ondernemende probleemoplossers te zijn in bedrijfsleven en in sociale context.

Bij TU Delft omarmen we diversiteit als een van onze kernwaarden en zetten we ons actief in om een universiteit te zijn waar jij je thuis voelt en kunt floreren. We hechten veel waarde aan verschillende perspectieven en kwaliteiten, omdat wij geloven dat dit ons werk innovatiever, de TU Delft-gemeenschap levendiger en de wereld rechtvaardiger maakt. Samen bedenken en ontwikkelen we oplossingen die een positieve invloed hebben op wereldwijde schaal. Daarom nodigen we jou uit om te solliciteren. Je sollicitatie krijgt een eerlijke behandeling.

Challenge. Change. Impact!

Universiteitsdienst – TU Delft Library
TU Delft Library is de grootste technisch-wetenschappelijke bibliotheek van Nederland, een fysieke en virtuele ontmoetingsplek. De Library helpt bij het vinden van waardevolle kennis die nodig is voor onderwijs en onderzoek, en bij het publiceren en bewaren van de gegenereerde kennis van de TU Delft. We vinden het belangrijk dat kennis gemakkelijk toegankelijk is en vrij beschikbaar is voor iedereen. Zo kan kennis vrijelijk gaan stromen en de kennis van de TU Delft van waarde worden voor anderen. In de Library kan iedereen ook altijd terecht om in alle rust te studeren. Dit past bij onze inclusieve organisatie. De Library heeft drie strategische thema’s gekozen als leidraad voor haar dagelijkse werkzaamheden. 1) Open Science. We hebben een belangrijke bijdrage in het TU Delft brede strategische programma “Open Science – Research and Education in the Open Era”. 2) Zichtbaarheid en impact. Met onze expertise en tools op het gebied van research datamanagement, research intelligence en publiceren, vergroten we de vindbaarheid, zichtbaarheid en impact van TU Delft-kennis. 3) Inspirerende leer- en werkomgeving. Door middel van een prikkelende programmering laten we zien hoe vrij beschikbare en betrouwbare kennis het leven rijker maakt. Daarmee is de Library een plek waar je nieuwe ideeën en inzichten vindt.

https://www.tudelft.nl/library/

Post Doc position on sustainable consumer behaviour across welfare groups

Job description

The research group of Responsible Marketing and Consumer Behaviour at the Faculty of Industrial Design Engineering (IDE) is looking for a postdoc researcher with a background in behavioural science, psychology or marketing to study sustainable behavioural change across welfare groups in society. This research stems from the observation that most behaviour change models look at the average consumer, and often at low income populations. Little is known on how pro-environmental decisions are made across welfare groups, including high-income and affluent individuals. This is important as a one-size-fits all approach to sustainable consumption interventions and policies may not be effective, underscoring the need for differentiated strategies. More research is therefore needed on the psychological and social factors underlying decisions and behaviour of individuals across different welfare groups. This postdoc research will contribute to this understanding through quantitative research methods by collecting data through experiments and surveys. Findings from this work will also inform the development of design guidelines and intervention strategies aimed at promoting sustainable consumption tailored to different welfare groups

The research group Responsible Marketing and Consumer Research focusses on theories and models from marketing and consumer research that can contribute to successful new product development (NPD). The group has experience in teaching and conducting high quality research on sustainable consumer behaviour, de-consumption and in the design and testing of interventions for sustainable behavioural change. By enhancing knowledge in these areas, we aim to help designers create more successful and sustainable product and service.

Job requirements
We are looking for a candidate who meets all of the following key criteria:

• a PhD degree in behavioural science, marketing, psychology or in a related field, with a strong interest in the field of sustainable behaviour.
• a PhD title already obtained or with a very imminent PhD defence date (in this case, the PhD work needs to be concluded).
• at least one scientific paper publication in a journal relevant to consumer behaviour, marketing or sustainable consumption (conference papers excluded).
• excellent research skills, in terms of analytical, conceptual and critical thinking.
• excellent methodological skills in quantitative research methods in both experiments and surveys, including very good knowledge and practice with analysis tools such as SPSS or R.
• excellent command of English in reading, scientific writing and speaking.
• ready to start between March and June 2026

In addition, we prefer candidates with the following criteria, which are considered a plus:

• a PhD degree completed in an European University, preferably in The Netherlands
• a candidate already located in Europe, preferably in The Netherlands, with familiarity with the European or Dutch context in terms of housing, living and working environment.
• prior research experience in the field of sustainable consumer behaviour
• prior teaching experience (e.g., lecturing, student supervision)
• with an understanding of the Dutch language

This position is for 2 years full time or 2+ for a part-time contract of 4 days a week. It may be extended in the future, depending on the opportunities within the faculty. The starting date is planned between March and June 2026.

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Faculty Industrial Design Engineering
Matching the evolution of people with the speed of the revolution of technology. This is the focus of the Faculty of Industrial Design Engineering (IDE). Delft designers act as a bridge between advances in technology and the needs of people, organisations and society to create products, services and systems with purpose.IDE is a leader in design research across the application areas of mobility, sustainability and health, as well as its development of design tools and methods. A 350-strong research team and over 2,000 students work together in our inspiring hall, labs and studios.In close cooperation with industry, the public sector and NGOs we rehearse possible futures in research and education to design for a complex future.

Click here to go to the website of the Faculty of Industrial Design Engineering.

Post Doc position on sustainable consumer behaviour across welfare groups

Job description

The research group of Responsible Marketing and Consumer Behaviour at the Faculty of Industrial Design Engineering (IDE) is looking for a postdoc researcher with a background in behavioural science, psychology or marketing to study sustainable behavioural change across welfare groups in society. This research stems from the observation that most behaviour change models look at the average consumer, and often at low income populations. Little is known on how pro-environmental decisions are made across welfare groups, including high-income and affluent individuals. This is important as a one-size-fits all approach to sustainable consumption interventions and policies may not be effective, underscoring the need for differentiated strategies. More research is therefore needed on the psychological and social factors underlying decisions and behaviour of individuals across different welfare groups. This postdoc research will contribute to this understanding through quantitative research methods by collecting data through experiments and surveys. Findings from this work will also inform the development of design guidelines and intervention strategies aimed at promoting sustainable consumption tailored to different welfare groups

The research group Responsible Marketing and Consumer Research focusses on theories and models from marketing and consumer research that can contribute to successful new product development (NPD). The group has experience in teaching and conducting high quality research on sustainable consumer behaviour, de-consumption and in the design and testing of interventions for sustainable behavioural change. By enhancing knowledge in these areas, we aim to help designers create more successful and sustainable product and service.

Job requirements
We are looking for a candidate who meets all of the following key criteria:

• a PhD degree in behavioural science, marketing, psychology or in a related field, with a strong interest in the field of sustainable behaviour.
• a PhD title already obtained or with a very imminent PhD defence date (in this case, the PhD work needs to be concluded).
• at least one scientific paper publication in a journal relevant to consumer behaviour, marketing or sustainable consumption (conference papers excluded).
• excellent research skills, in terms of analytical, conceptual and critical thinking.
• excellent methodological skills in quantitative research methods in both experiments and surveys, including very good knowledge and practice with analysis tools such as SPSS or R.
• excellent command of English in reading, scientific writing and speaking.
• ready to start between March and June 2026

In addition, we prefer candidates with the following criteria, which are considered a plus:

• a PhD degree completed in an European University, preferably in The Netherlands
• a candidate already located in Europe, preferably in The Netherlands, with familiarity with the European or Dutch context in terms of housing, living and working environment.
• prior research experience in the field of sustainable consumer behaviour
• prior teaching experience (e.g., lecturing, student supervision)
• with an understanding of the Dutch language

This position is for 2 years full time or 2+ for a part-time contract of 4 days a week. It may be extended in the future, depending on the opportunities within the faculty. The starting date is planned between March and June 2026.

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Faculty Industrial Design Engineering
Matching the evolution of people with the speed of the revolution of technology. This is the focus of the Faculty of Industrial Design Engineering (IDE). Delft designers act as a bridge between advances in technology and the needs of people, organisations and society to create products, services and systems with purpose.IDE is a leader in design research across the application areas of mobility, sustainability and health, as well as its development of design tools and methods. A 350-strong research team and over 2,000 students work together in our inspiring hall, labs and studios.In close cooperation with industry, the public sector and NGOs we rehearse possible futures in research and education to design for a complex future.

Click here to go to the website of the Faculty of Industrial Design Engineering.

PhD Position in Foundation Model for Architectural Engineering

Job description

We are seeking a highly motivated PhD candidate to pioneer the integration of architectural knowledge and logic directly into the latent manifold of Generative AI. This position operates at the cutting edge of AI and the Built Environment, challenging you to architect a native Multimodal Foundation Model for Architectural Engineering designed for "Constraint-to-BIM (Building Information Modelling)" synthesis. You will investigate how deep neural networks can internalize complex building dynamics (e.g., structural load paths, material thermodynamics) and regulatory logic (e.g., zoning envelopes) as native languages, facilitating rigorous, carbon-centric decision-making. If you are driven to transcend generic, task-agnostic generation and advance frontier AI toward structurally and functionally viable design, join us in defining this new scientific paradigm.

Your core research will target three novel frontiers: (1) heterogeneous input encoding, where you will develop architectures to unify disparate modalities into a coherent embedding space; (2) causal chain-of-thought, engineering mechanisms for the model to manage long-horizon dependencies in construction sequencing and system-level planning; and (3) constraint-aware latent reasoning, innovating tokenization strategies that semantically bind geometric primitives with performance constraints to ensure "construction-valid" generation. You will apply parameter-efficient fine-Tuning (e.g., low-rank adaptation) to an open-source Multimodal Foundation Model (MMLM) for domain-specific adaptation, combining it with novel pretraining objectives (e.g., topology-preserving loss, consistency-based self-supervision) to overcome engineering data scarcity and enable autonomous reasoning for tasks such as structural integrity, HVAC routing, and climate-adaptive design.

You will work within an interdisciplinary ecosystem of domain experts and stakeholders from industry and the public sector. A critical component of your work will be establishing rigorous evaluation protocols to probe the model's physics-consistency and logic-adherence, moving the field beyond standard perceptual metrics. Your contributions will define the state-of-the-art through publications in leading AI and built-environment venues, the release of open benchmarks for architectural reasoning, and the formulation of methodological guidelines for reliable domain-specific foundation models. Ultimately, your research will deliver a unified native foundation model, providing the multi-level disciplinary intelligence essential for the early-stage development of sustainable, high-performance buildings.

Requirements

• You hold an MSc in Computer Science, Artificial Intelligence, Data Science or Architectural Engineering (with strong computational focus), demonstrating a solid portfolio at the intersection of Deep Learning and geometric/physical data.
• You have a keen interest and/or experience in large-scale model architectures, specifically focusing on self-supervised learning, latent space alignment, or multimodal representation learning.
• You have solid programming skills (e.g. Python) and are familiar with modern ML frameworks such as PyTorch or TensorFlow.
• You are motivated to work with complex and heterogeneous AEC (Architecture, Engineering, and Construction) data.
• You possess hands-on experience in at least one of the following frontier areas: Geometric Deep Learning (GNNs, 3D-CNNs), Computer Vision, or Vision-Language Models (VLMs).
• You have excellent scientific communication skills in English and a driven ambition to publish high-impact research in top-tier AI and Built Environment venues.
• You thrive in bridging disciplines, capable of working translating complex problems into potential solutions and collaborating effectively with domain experts and industry stakeholders.

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Faculty Architecture & the Built Environment
The Faculty of Architecture and the Built Environment has a leading role in education and research worldwide. The driving force behind the faculty’s success is its robust research profile combined with the energy and creativity of its student body and academic community. It is buzzing with energy from early in the morning until late at night, with four thousand people studying, working, designing, conducting research and acquiring and disseminating knowledge. Our faculty has a strong focus on 'design-oriented research’, which has given it a top position in world rankings.

Staff and students are working to improve the built environment with the help of a broad set of disciplines, including architectural design, urban planning, building technology, social sciences, process management, and geo-information science. The faculty works closely with other faculties, universities, private parties, and the public sector, and has an extensive network in the Netherlands as well as internationally.

Click here to go to the website of the Faculty of Architecture and the Built Environment.

PhD Position in Foundation Model for Architectural Engineering

Job description

We are seeking a highly motivated PhD candidate to pioneer the integration of architectural knowledge and logic directly into the latent manifold of Generative AI. This position operates at the cutting edge of AI and the Built Environment, challenging you to architect a native Multimodal Foundation Model for Architectural Engineering designed for "Constraint-to-BIM (Building Information Modelling)" synthesis. You will investigate how deep neural networks can internalize complex building dynamics (e.g., structural load paths, material thermodynamics) and regulatory logic (e.g., zoning envelopes) as native languages, facilitating rigorous, carbon-centric decision-making. If you are driven to transcend generic, task-agnostic generation and advance frontier AI toward structurally and functionally viable design, join us in defining this new scientific paradigm.

Your core research will target three novel frontiers: (1) heterogeneous input encoding, where you will develop architectures to unify disparate modalities into a coherent embedding space; (2) causal chain-of-thought, engineering mechanisms for the model to manage long-horizon dependencies in construction sequencing and system-level planning; and (3) constraint-aware latent reasoning, innovating tokenization strategies that semantically bind geometric primitives with performance constraints to ensure "construction-valid" generation. You will apply parameter-efficient fine-Tuning (e.g., low-rank adaptation) to an open-source Multimodal Foundation Model (MMLM) for domain-specific adaptation, combining it with novel pretraining objectives (e.g., topology-preserving loss, consistency-based self-supervision) to overcome engineering data scarcity and enable autonomous reasoning for tasks such as structural integrity, HVAC routing, and climate-adaptive design.

You will work within an interdisciplinary ecosystem of domain experts and stakeholders from industry and the public sector. A critical component of your work will be establishing rigorous evaluation protocols to probe the model's physics-consistency and logic-adherence, moving the field beyond standard perceptual metrics. Your contributions will define the state-of-the-art through publications in leading AI and built-environment venues, the release of open benchmarks for architectural reasoning, and the formulation of methodological guidelines for reliable domain-specific foundation models. Ultimately, your research will deliver a unified native foundation model, providing the multi-level disciplinary intelligence essential for the early-stage development of sustainable, high-performance buildings.

Requirements

• You hold an MSc in Computer Science, Artificial Intelligence, Data Science or Architectural Engineering (with strong computational focus), demonstrating a solid portfolio at the intersection of Deep Learning and geometric/physical data.
• You have a keen interest and/or experience in large-scale model architectures, specifically focusing on self-supervised learning, latent space alignment, or multimodal representation learning.
• You have solid programming skills (e.g. Python) and are familiar with modern ML frameworks such as PyTorch or TensorFlow.
• You are motivated to work with complex and heterogeneous AEC (Architecture, Engineering, and Construction) data.
• You possess hands-on experience in at least one of the following frontier areas: Geometric Deep Learning (GNNs, 3D-CNNs), Computer Vision, or Vision-Language Models (VLMs).
• You have excellent scientific communication skills in English and a driven ambition to publish high-impact research in top-tier AI and Built Environment venues.
• You thrive in bridging disciplines, capable of working translating complex problems into potential solutions and collaborating effectively with domain experts and industry stakeholders.

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

Faculty Architecture & the Built Environment
The Faculty of Architecture and the Built Environment has a leading role in education and research worldwide. The driving force behind the faculty’s success is its robust research profile combined with the energy and creativity of its student body and academic community. It is buzzing with energy from early in the morning until late at night, with four thousand people studying, working, designing, conducting research and acquiring and disseminating knowledge. Our faculty has a strong focus on 'design-oriented research’, which has given it a top position in world rankings.

Staff and students are working to improve the built environment with the help of a broad set of disciplines, including architectural design, urban planning, building technology, social sciences, process management, and geo-information science. The faculty works closely with other faculties, universities, private parties, and the public sector, and has an extensive network in the Netherlands as well as internationally.

Click here to go to the website of the Faculty of Architecture and the Built Environment.