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Do you have passion for FAIR and open data, and a drive to improve the data landscape? Do you enjoy solving both technical and societal challenges? The Intelligent Data Engineering lab (INDElab) is looking for a postdoc in the BridgeMD project.

Do you have passion for FAIR and open data, and a drive to improve the data landscape? Do you enjoy solving both technical and societal challenges? The Intelligent Data Engineering lab (INDElab) is looking for a postdoc in the BridgeMD project.
We are looking for a postdoctoral researcher who can help us develop technology to help researchers identify and reuse useful datasets across different domains. Data reuse across domains is hindered by insufficient or poorly tailored metadata and documentation. As a result, datasets often remain underutilized, despite their potential value across diverse research communities. In this project, you will address this challenge by leveraging recent advances in Generative AI to reduce the distance between data providers and data reusers. Specifically, you will develop methods capable of automatically generating tailored metadata and associated documentation for defined user groups, integrated into widely used open-source data repository software platforms. The resulting system will be able to produce outputs such as domain-specific vocabulary mappings, example code to facilitate data reuse, and contextualized descriptions that reflect the concepts and methods familiar to the target research community.
BridgeMD aims to make datasets produced in one domain significantly more reusable across scientific fields and beyond; for students, policy makers, and other societal stakeholders. By harnessing state-of-the-art AI for metadata generation, it enhances the value of existing data, supports ongoing investments in FAIR implementation, and strengthens the foundations for future data-driven and AI-supported research in natural and engineering sciences.

We are looking for a postdoctoral researcher who can help us develop technology to help researchers identify and reuse useful datasets across different domains. Data reuse across domains is hindered by insufficient or poorly tailored metadata and documentation. As a result, datasets often remain underutilized, despite their potential value across diverse research communities. In this project, you will address this challenge by leveraging recent advances in Generative AI to reduce the distance between data providers and data reusers. Specifically, you will develop methods capable of automatically generating tailored metadata and associated documentation for defined user groups, integrated into widely used open-source data repository software platforms. The resulting system will be able to produce outputs such as domain-specific vocabulary mappings, example code to facilitate data reuse, and contextualized descriptions that reflect the concepts and methods familiar to the target research community.
BridgeMD aims to make datasets produced in one domain significantly more reusable across scientific fields and beyond; for students, policy makers, and other societal stakeholders. By harnessing state-of-the-art AI for metadata generation, it enhances the value of existing data, supports ongoing investments in FAIR implementation, and strengthens the foundations for future data-driven and AI-supported research in natural and engineering sciences.
To fulfil the goals of the BridgeMD project, and the responsibilities of a postdoctoral researcher, we expect you to take on the following:
We are looking for someone who is passionate about open science, and excited to work with a diverse set of stakeholders on designing a generalizable solution. You should also have:
Contributions to OpenML or other dissemination platforms are a plus. An understanding of the metadata data ecosystem and open standards for research data are appreciated.
A temporary contract for 38 hours per week for the duration of 2 years with a probationary period of two months (the initial contract will be for a period of 12 months and after satisfactory evaluation it will be extended by 12 month for a total duration of 2 years). The preferred starting date is November 1st.
The gross monthly salary, based on 38 hours per week and dependent on relevant experience, ranges between € 3,706 to € 5,760 (scale 10). This does not include 8% holiday allowance and 8,3% year-end allowance. The UFO profile Researcher is applicable. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Universities of the Netherlands is applicable.
Curious about our extensive secondary benefits package? You can read more about it here.
To fulfil the goals of the BridgeMD project, and the responsibilities of a postdoctoral researcher, we expect you to take on the following:
We are looking for someone who is passionate about open science, and excited to work with a diverse set of stakeholders on designing a generalizable solution. You should also have:
Contributions to OpenML or other dissemination platforms are a plus. An understanding of the metadata data ecosystem and open standards for research data are appreciated.
A temporary contract for 38 hours per week for the duration of 2 years with a probationary period of two months (the initial contract will be for a period of 12 months and after satisfactory evaluation it will be extended by 12 month for a total duration of 2 years). The preferred starting date is November 1st.
The gross monthly salary, based on 38 hours per week and dependent on relevant experience, ranges between € 3,706 to € 5,760 (scale 10). This does not include 8% holiday allowance and 8,3% year-end allowance. The UFO profile Researcher is applicable. A favourable tax agreement, the ‘30% ruling’, may apply to non-Dutch applicants. The Collective Labour Agreement of Universities of the Netherlands is applicable.
Curious about our extensive secondary benefits package? You can read more about it here.
The Faculty of Science has a student body of around 8,000, as well as 1,800 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain.
The mission of the Informatics Institute (IvI) is to perform curiosity-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component.
You will work in the Intelligent Data Engineering lab (INDElab) where we investigate intelligent systems that support people in their work with data and information from diverse sources. This includes addressing problems related to the preparation, management, integration and reuse of data. We perform both applied and fundamental research, informed by empirical insights into data science practice.
Want to know more about our organisation? Read more about working at the University of Amsterdam.
The Faculty of Science has a student body of around 8,000, as well as 1,800 members of staff working in education, research or support services. Researchers and students at the Faculty of Science are fascinated by every aspect of how the world works, be it elementary particles, the birth of the universe or the functioning of the brain.
The mission of the Informatics Institute (IvI) is to perform curiosity-driven and use-inspired fundamental research in Computer Science. The main research themes are Artificial Intelligence, Computational Science and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative, data driven, computational and intelligent systems, all with a strong interactive component.
You will work in the Intelligent Data Engineering lab (INDElab) where we investigate intelligent systems that support people in their work with data and information from diverse sources. This includes addressing problems related to the preparation, management, integration and reuse of data. We perform both applied and fundamental research, informed by empirical insights into data science practice.
Want to know more about our organisation? Read more about working at the University of Amsterdam.
If you feel the profile fits you, and you are interested in the job, we look forward to receiving your application. You can apply online via the red button. In INDElab, we highly value diversity. Therefore, we especially encourage people from underrepresented groups to apply for this job.
We accept applications until and including August 28. Then, a first round of short interviews will be held on September 2, second round of longer interviews on September 11, to have sufficient turnaround time to start the position on November 1.
Applications should include the following information (all files besides your cv should be submitted in one single pdf file):
We prefer to hear from you in your own voice, please avoid reliance on generative AI in the preparation of your materials.
A knowledge security check can be part of the selection procedure.
(for details: national knowledge security guidelines)
Only complete applications received within the response period via the link below will be considered.
If you have any questions or do you require additional information? Please contact:
If you feel the profile fits you, and you are interested in the job, we look forward to receiving your application. You can apply online via the red button. In INDElab, we highly value diversity. Therefore, we especially encourage people from underrepresented groups to apply for this job.
We accept applications until and including August 28. Then, a first round of short interviews will be held on September 2, second round of longer interviews on September 11, to have sufficient turnaround time to start the position on November 1.
Applications should include the following information (all files besides your cv should be submitted in one single pdf file):
We prefer to hear from you in your own voice, please avoid reliance on generative AI in the preparation of your materials.
A knowledge security check can be part of the selection procedure.
(for details: national knowledge security guidelines)
Only complete applications received within the response period via the link below will be considered.
If you have any questions or do you require additional information? Please contact:
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