Postdoctoral Researcher in Natural Language Processing

Organisation/Company University of Amsterdam (UvA) Research Field Computer science » Informatics Computer science » Programming Language sciences » Linguistics Researcher Profile Recognised Researcher (R2) Final date to receive applications 15 Mar 2026 - 22:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 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

A three year postdoctoral position in NLP on a prestigious ERC Consolidator Grant in a great interdisciplinary institute in Amsterdam.

Join us! Are you passionate about machine learning, natural language processing and generative AI? We are seeking a postdoctoral researcher to join the research group led by Ekaterina Shutova (https://(Use the "Apply for this Job" box below). ), part of the natural language processing research unit of the Institute for Logic, Language and Computation (ILLC).

This postdoctoral position is in the context of the new ERC-funded project Cultur

AL. The project focuses on the development of methodologies for multilingual NLP and alignment of large language models (LLMs).

In the last few years, LLMs found wide adoption in many areas of societal life. Their development, however, requires access to a vast amount of data and resources in a given language, as well as considerable computational infrastructure. As a result, these models are in practice limited to a handful of widely-spoken languages, leaving over 6,000 of the world's languages and dialects without access to language technology.

Furthermore, research on LLM alignment, which aims to ensure the safety of their use, has been almost exclusively directed toward the English-speaking world. Taken together, these problems lead to a major inequity in today's language technology and artificial intelligence more broadly.

In this project, we will develop a new methodology for cross-lingual transfer of LLMs to a wide-range of (low-resource, understudied) languages and dialects, and their alignment to diverse cultural contexts. In particular, we will explore techniques from the areas of few-shot learning, continual learning and modular deep learning, as well as different LLM alignment frameworks, based on reinforcement learning and direct preference optimisation, extending them to perform pluralistic alignment.

To enhance model interpretability, we will also develop methods to better understand the mechanisms of cross-lingual transfer in LLMs and their cultural awareness.

We welcome applications from recent PhD graduates in relevant areas, such as artificial intelligence and natural language processing. An ideal candidate will have a strong technical background in natural language processing or machine learning, but also a keen interest in AI safety and alignment. Hands on experience with reinforcement learning from human feedback would be a plus.

You will become a member of the thriving and friendly Amsterdam NLU Lab. For more information about the project, please contact the supervisor, Ekaterina Shutova (e.shutova ).

• Carry out research as described in the project proposal;
• Present and publish at key international conferences and in leading journals;
• Contribute your expertise to joint research projects within the research group;
• Participate in and contribute to the organization of research activities and events at the ILLC, such as workshops and colloquia;
• Make a small contribution to the ILLC’s educational mission, by taking part in teaching and student supervision activities in areas related to your expertise.

• A PhD degree in AI (e.g., machine learning, natural language processing or computer vision);
• A strong scientific track record, documented by publications at first-tier conferences and journals (e.g., NeurIPS, ACL, ICLR, EMNLP, NAACL or COLM);
• Have excellent programming skills;
• Have strong mathematical skills (e.g., probability theory, statistics, calculus, and linear algebra);
• Have strong communication, presentation and…