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Current openings (8)

We currently have room for eight outstanding machine learning Ph.D. students, PostDocs, and Engineers. The vacancies will remain open until the positions are filled. Apply now!

PhD on Multi-modal Open-Source Foundation Models (2 positions)

Join a groundbreaking project to develop next-generation, open-source multi-modal foundation models. Collaborate with top research labs and experts to create transparent, efficient, high-performing models with novel capabilities that democratize access to AI. We are seeking a proficient and talented PhD student to develop advanced, multimodal, open source foundation models based on solid research on model architecture, data quality, scaling, generalizability, finetuning, and safety. The focus is on multimodality aspects, including tabular and time series data, as well as efficient model finetuning. [4 year position]

PhD in Open-Source Large Language Models (1 position)

Join a groundbreaking project to develop a next-generation, open-source family of foundation models. We are seeking a proficient and talented PhD student with a true passion for AI. You will play a pivotal role in a team exploring new large model architectures, novel efficient finetuning and adaptation techniques, refining data to enhance learning and generalizability, creating benchmarks, and ensuring AI safety. [4 year position]

PhD on AI for Safety-Critical Multi-modal Learning (1 position)

Are you eager to make a difference in the advancement of AI via reliable state-of-the-art deep learning models? We are seeking a proficient and talented PhD student to develop efficient, trustworthy AI models that have a robust understanding of their environment based on various data sources. For example, the model should be able to integrate camera, radar, and other sensor modalities. Particular attention will be paid to transformer- and post-transformer architectures, and how to adapt them to learn efficiently on resource-constrained hardware, for instance with transfer learning and quantization techniques. [4 year position]

Postdoctoral Fellow in Open-Source Foundation Models (2 positions)

Join a groundbreaking project to develop next-generation, open-source multi-modal foundation models. Collaborate with top research labs and experts and lead a new wave for research into transparent, efficient, high-performing models with novel capabilities that democratize access to AI. We are seeking a proficient and talented postdoctoral fellow to develop advanced, multimodal, open source foundation models based on solid research on model architecture, data quality, scaling, generalizability, finetuning, and safety. The focus is on multimodality aspects, including tabular and time series data, as well as efficient model finetuning. You’ll be part of a team with 2 PhD students and an research engineer. There are two positions, one on large language models (3 years) and one of multimodal models (2 years). [2-3 year position]

Research Engineer in Open-Source Foundation Models (2 positions)

We are looking for an exceptional research engineer with a passion for AI and open-source development. In this role, you will design and build cutting-edge tools and software that will shape the future of foundation models, used by millions of people worldwide. There are two positions, one on large language models and one of multimodal models. [3 year position]

You can also check out other positions in our department.

Who we are looking for

We are seeking exceptional individuals who aspire to leave a mark on the world of machine learning and push humanity forward

• Fearless Explorers: Visionaries who dare to think big, embrace curiosity, and thrive on pushing the boundaries of innovation.
• Dedicated Builders: Innovators who turn ambitious ideas into reality, creating solutions with real-world impact.
• Empowered Leaders: Changemakers ready to unlock their full potential, inspire others, and define the future of machine learning.

We especially appreciate people who are curious and open-minded, self-driven and collaborative, kind and respectful, and who contribute to our shared passion for research and exploration. If you’re passionate about making a difference and pursuing excellence, we want you to be part of our journey.

How we will empower you

We cultivate an environment that inspires and supports world-class research. Our focus is on quality over quantity, encouraging innovative, blue-sky thinking while embracing openness, transparency, and learning from mistakes. Above all, we prioritize an excellent work-life balance, with minimal meetings, plenty of time for focused work, and numerous opportunities to learn and collaborate with one another.

Fully Funded for Success

All positions are fully funded, so you can focus entirely on your research and growth. PhD positions are always funded for 4 years. PostDoc and Research Engineer positions are usually for 2-4 years, with possibilities for extension. All positions come with a good salary determined on your experience and seniority, in accordance with the Dutch universities’ labor agreement.

World-leading research

We change the world, together. We’re a tight-knit team of about 20 PhD’s, postdocs, and engineers working together to create real impact. You can find our work in top AI conferences and journals, including NeurIPS, ICML, CVPR, JMLR, and TPAMI, and we take pride in good engineering and open science, building AI tools used by hundreds of thousands of people.

Freedom to Study Deeply and Think Big

We don’t just follow trends — we set them. We encourage every team member to become a leading expert, think outside the box, and find novel avenues of research. We work on extremey efficient continual and meta-learning inspired by the human brain, we design AI models that design themselves using AutoML, we build platforms and create standards that enable research that wasn’t possible before, and even create new venues (e.g. NeurIPS Datasets & Benchmarks) to create new incentives and strengthen communities.

Purpose-Driven Research

Your work here will matter. Next to doing transformative fundamental research, we also leverage our insight to tackle real-world problems, in line with AI for good and sustainable development goals.

Excellent Career Prospects

Research labs and employers around the globe recognize the quality of our researchers, and we collaborate extensively with other leading research labs and organizations all over the world, such as Google, HuggingFace, and MLCommons.