Publisher
source

University of Amsterdam

PhD in AI-driven Inference for Gravitational-Wave Cosmology (LISA) at University of Amsterdam University of Amsterdam in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

The position offers a salary of €3,059 – €3,881 per month, plus an 8% holiday allowance and an 8.3% year-end bonus. The contract is for 4 years (initially 18 months, extendable). The 30% ruling may apply for non-Dutch applicants. Partially remote work is possible, but regular on-site presence in Amsterdam is required.

Deadline

Expired

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Country

Netherlands

University

University of Amsterdam

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Keywords

Computer Science
Deep Learning
Astronomy
Cosmology
Astroparticle Physics
Physics
Gravitational Wave
Machine learning

About this position

The University of Amsterdam's Faculty of Science, through the GRAPPA research center, is offering a PhD position focused on AI-driven inference for gravitational-wave cosmology with LISA. The project aims to develop advanced AI-based methods for analyzing data from next-generation gravitational-wave observatories, with a strong emphasis on cosmology and astroparticle physics. Key research topics include addressing challenges such as overlapping gravitational-wave sources, stochastic backgrounds, and extracting insights about the early Universe, dark matter, dark energy, and inflationary processes.

The successful candidate will conduct independent research in gravitational-wave cosmology and data analysis, develop and implement AI-driven inference methods for LISA data, and perform sequential, hierarchical, and population-level inference. The role also involves presenting research at international conferences and assisting in the supervision of Bachelor and Master students. Collaboration opportunities include working with teams from LIGO/Virgo/KAGRA, LISA, and the Einstein Telescope.

Applicants must have a Master’s degree in Physics, Astronomy, or a related field, with strong analytical and computational skills. Experience in scientific programming and numerical methods is required, while familiarity with machine learning, deep learning, or simulation-based inference is beneficial. Fluency in English, an excellent academic record, and strong references are essential.

The position offers a competitive salary (€3,059 – €3,881/month), an 8% holiday allowance, and an 8.3% year-end bonus. The contract is for four years (initially 18 months, extendable), with the possibility of partially remote work, though regular on-site presence in Amsterdam is required. The 30% ruling may apply for non-Dutch applicants. The preferred start date is Fall 2026, and the application deadline is 15 February 2026.

To apply, submit your CV, motivation letter, publications list, and contact details for two references in one PDF to Dr. Christoph Weniger ([email protected]). For more information, visit the official vacancy page.

Funding details

The position offers a salary of €3,059 – €3,881 per month, plus an 8% holiday allowance and an 8.3% year-end bonus. The contract is for 4 years (initially 18 months, extendable). The 30% ruling may apply for non-Dutch applicants. Partially remote work is possible, but regular on-site presence in Amsterdam is required.

What's required

Applicants must hold a Master’s degree in Physics, Astronomy, or a related field. Strong analytical and computational skills are required, along with experience in scientific programming and numerical methods. Experience with machine learning, deep learning, or simulation-based inference is beneficial. Fluency in English, an excellent academic record, and strong references are also required.

How to apply

Submit your CV, motivation letter, publications list, and contact details for 2 references in one PDF. Send your application to Dr. Christoph Weniger at [email protected]. Review the official vacancy page for further details.

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