PostDoc in Machine Learning and Statistics (3 years)

13 Mar 2026
Job Information

Organisation/Company

Vrije Universiteit Amsterdam (VU)

Research Field

Mathematics » Statistics

Researcher Profile

Recognised Researcher (R2)

Application Deadline

19 Apr 2026 - 21:59 (UTC)

Country

Netherlands

Type of Contract

Temporary

Job Status

Not Applicable

Hours Per Week

36.0

Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

We are looking for a PostDoc who will do research on the intersection of machine learning (ML) and statistics. The focus will be on enriching statistical methods through advanced machine learning techniques, for instance, by learning latent representations of the data. In addition to utilizing such techniques for predictive modeling scenarios, causal modeling is also within the scope of the position. The position is embedded in the ten-year gravitation grant Stress in Action, funded through NWO (Dutch National Science Foundation). The goal of the project is to move stress research from the lab into daily life, and hence, the use cases of methodological innovations will focus on applications to stress-related data, such as wearables, ecological momentary assessments, and other types of questionnaires. A variety of academic partners are involved in the project, including Vrije Universiteit Amsterdam, Amsterdam UMC, Erasmus MC, University of Twente, University of Groningen, UMC Groningen, and Utrecht University. The position is embedded in the Quantitative Data Analytics (QDA) group of the VU in close collaboration with Erasmus MC and the University of Groningen. The QDA group focuses on both fundamental and application-driven research in ML. We are looking for candidates with experience in the area of machine learning or statistics, with a special preference for those with expertise in one or more of the following areas: representation learning, causal inference. We are interested in attracting a PostDoc who is able to perform ground-breaking research on fundamental aspects of machine learning and statistics and wants to apply these innovations in the context of the Stress in Action project.
Your duties
The PostDoc position is focused on performing research and contains the following duties:

• performing research in the field of machine learning and publishing in top ML conferences
• participating in the QDA group of VU (led by Mark Hoogendoorn), the Biostatistics group of Erasmus MC (led by Dimitris Rizopoulos), and Laura Bringmann's intensive longitudinal data lab at the University of Groningen.
• contributing to the Stress in Action project and interacting with the different partners and stakeholders in the project
• contributing to some teaching activities and possibly supervising Bachelor and Master students (20% of the time)

Where to apply

Website

https://www.academictransfer.com/en/jobs/359291/postdoc-in-machine-learning-and…

Requirements
Specific Requirements

We will base our selection on the following components:

• a PhD degree in an area relevant to machine learning and/or statistics
• prior experience in machine learning and/or statistics, and ideally also on applications in the health domain, demonstrated by relevant publications
• a strong record of computer programming, with experience in pytorch and/or tensorflow
• demonstrated ability to work both independently and as a team member

The role requires a flexible working approach, as you will be actively involved at multiple locations across Amsterdam, Groningen, and the broader Randstad region.
As a university, we strive for equal opportunities for all, recognising that diversity takes many forms. We believe that diversity in all its complexity is invaluable for the quality of our teaching, research and service. We are always looking for talent with diverse backgrounds and experiences. This also means that we are committed to creating an inclusive community so that we can use diversity as an asset.
We realise that each individual brings a unique set of skills, expertise and mindset. Therefore we are happy to invite anyone who recognises themselves in the profile to apply, even if you do not meet all the requirements.

Additional Information
Benefits

A challenging and impactful postdoctoral position within a high-profile national and international research program that bridges academia and industry. The position, with the total duration of 3 years, is embedded in a vibrant and international research environment at VU Amsterdam for a duration of 1.5 years. This is followed by an appointment at the University of Groningen, for a maximum duration of 1.5 years.
At VU Amsterdam, you contribute to education, research and service for a better world. And that is valuable. So in return for your efforts, we offer you:

• a salary of minimum € 3.546,00 (Scale 10) and maximum € 5.538,00 (Scale 10) gross per month, on a full-time basis. This is based on UFO profile Researcher 4. The exact salary depends on your education and experience.
• a position for at least 0.8 FTE.
• your initial employment contract at VU Amsterdam will last 1,5 year. After a successful evaluation, an appointment at the University of Groningen will additionally follow for another 1,5 years.

We also offer you attractive fringe benefits and regulations. Some examples:

• A full-time 38-hour working week comes with a holiday leave entitlement of 232 hours per year. If you choose to work 40 hours, you have 96 extra holiday leave hours on an annual basis. For part-timers, this is calculated pro rata.
• 8% holiday allowance and 8.3% end-of-year bonus
• contribution to commuting expenses
• optional model for designing a personalized benefits package
• solid pension scheme (ABP)

Additional comments

Are you interested in this position and do you believe that your experience will contribute to the further development of our university? In that case, we encourage you to submit your application.
Submitting a diploma is part of the application process.
Applications received by e-mail will not be considered.
Acquisition in response to this advertisement is not appreciated.

Website for additional job details

https://www.academictransfer.com/359291/

Work Location(s)

Number of offers available

1

Company/Institute

Vrije Universiteit Amsterdam

Country

Netherlands

City

Amsterdam

Postal Code

1081HV

Street

De Boelelaan 1111

Geofield

Contact

City

Amsterdam

Website

http://www.vu.nl/

Street

De Boelelaan 1105

Postal Code

1081 HV

STATUS: EXPIRED

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