Postdoctoral Researcher in Automated Metadata Generation for Data Reuse

Postdoctoral Researcher in Automated Metadata Generation for Data Reuse

Working at the UvA

Join Us!

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.

 

Working at the UvA

Join Us!

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.

 

All about this vacancy

This is what you will do

To fulfil the goals of the BridgeMD project, and the responsibilities of a postdoctoral researcher, we expect you to take on the following:

  • conducting independent research in on data reuse and metadata, resulting in academic publications in peer-reviewed international conferences or journals;
  • collaborate with our research engineer to develop open-source software integrations for data reuse;
  • developing a systematic evaluation protocol;
  • organising events and other collaborations with community partners for testing and dissemination;
  • supervising Bachelor and Master thesis projects.

What we ask of you

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:

  • a recent PhD in Computer Science or Engineering, Information Studies, Human-Technology Interaction or similar;
  • experience with user studies, preferably qualitative methods such as interviews, think-alouds or focus groups;
  • significant coding experience in Python;
  • experience with LLMs, in particular as part of agentic systems (e.g. use of OpenRouter, vLLM). Experience training LLMs and deep learning in general is a plus;
  • good communication skills in oral and written English.

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.

 

This is what we offer you

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.

 

All about this vacancy

This is what you will do

To fulfil the goals of the BridgeMD project, and the responsibilities of a postdoctoral researcher, we expect you to take on the following:

  • conducting independent research in on data reuse and metadata, resulting in academic publications in peer-reviewed international conferences or journals;
  • collaborate with our research engineer to develop open-source software integrations for data reuse;
  • developing a systematic evaluation protocol;
  • organising events and other collaborations with community partners for testing and dissemination;
  • supervising Bachelor and Master thesis projects.

What we ask of you

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:

  • a recent PhD in Computer Science or Engineering, Information Studies, Human-Technology Interaction or similar;
  • experience with user studies, preferably qualitative methods such as interviews, think-alouds or focus groups;
  • significant coding experience in Python;
  • experience with LLMs, in particular as part of agentic systems (e.g. use of OpenRouter, vLLM). Experience training LLMs and deep learning in general is a plus;
  • good communication skills in oral and written English.

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.

 

This is what we offer you

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.

 

Your place at the UvA

You will work in this team

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.

More about the UvA

The University of Amsterdam is ambitious, creative and committed. An inspiration to students since 1632, a vanguard player in international science and a partner in innovation.
The University of Amsterdam is the largest university in the Netherlands, with the broadest range of courses on offer. An intellectual hub with 42,000 students, 6,000 staff and 3,000 PhD students. Connected by a culture of curiosity.

Your place at the UvA

This is where you will be working

You will work in this team

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.

More about the UvA

The University of Amsterdam is ambitious, creative and committed. An inspiration to students since 1632, a vanguard player in international science and a partner in innovation.
The University of Amsterdam is the largest university in the Netherlands, with the broadest range of courses on offer. An intellectual hub with 42,000 students, 6,000 staff and 3,000 PhD students. Connected by a culture of curiosity.

Important to know

Your application & 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):

  • a detailed CV including the months (not just years) when referring to your education and work experience;
  • a letter of motivation;
  • a list of publications;
  • the names and email addresses of two references who can provide letters of recommendation.

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:

Acquisition in response to this vacancy is not appreciated.

Diversity, Equity & Inclusion

As an employer, the UvA maintains an equal opportunities policy. We value diversity and are fully committed to being a place where everyone feels at home. We nurture inquisitive minds and perseverance and allow room for persistent questioning. With us, curiosity and creativity are the prevailing culture.
Studies show that women and members of underrepresented groups only apply for jobs if they meet 100% of the qualifications. Do you meet the educational requirements but not yet all of the requested experience? The UvA encourages you to apply anyway.

Important to know

Your application & 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):

  • a detailed CV including the months (not just years) when referring to your education and work experience;
  • a letter of motivation;
  • a list of publications;
  • the names and email addresses of two references who can provide letters of recommendation.

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:

Acquisition in response to this vacancy is not appreciated.
As an employer, the UvA maintains an equal opportunities policy. We value diversity and are fully committed to being a place where everyone feels at home. We nurture inquisitive minds and perseverance and allow room for persistent questioning. With us, curiosity and creativity are the prevailing culture.
Studies show that women and members of underrepresented groups only apply for jobs if they meet 100% of the qualifications. Do you meet the educational requirements but not yet all of the requested experience? The UvA encourages you to apply anyway.

Don't miss out on your dream job!

Sign up for a job alert and you'll receive automatic updates about new and relevant vacancies.

Don't miss out on your dream job!

Sign up for a job alert and you'll receive automatic updates about new and relevant vacancies.