Snapshot

Artificial Intelligence could be one of humanity's most useful inventions, as long as it is safe and open to all. We are building an exciting new platform to help people build performant and safe AI models through natural language interaction. This mission will combine automated machine learning with agentic systems to design machine learning models for a wide range of use cases, interactively and according to user goals, while continually evaluating AI safety and explainability.

The team

The Automated Machine Learning team at TU Eindhoven focusses on cutting-edge research to advance the capabilities of machine learning models, while also democratizing AI and leveraging it to help humanity. We are a team of scientists and engineers who aim to deeply understand, explain, and build AI systems that learn continually and automatically assemble themselves to learn faster and better. In addition to producing highly-cited research published at top academic venues, we build models and systems that are widely used by people every day. You will also be part of a larger team with experts across Europe.

The role

We are seeking a passionate and talented Research Scientist to lead the development of an AutoML platform that integrates cutting-edge machine learning techniques with natural language interfaces. You will work closely with an exceptional team of engineers and researchers to design a system that makes AI more accessible, impactful, and responsible.

Key responsibilities

• Research and implement state-of-the-art AutoML, fine-tuning, transfer learning, and meta-learning.
• Support a team of LLM experts to create intuitive natural language interfaces for AutoML.
• Integrate AI safety and Explainable AI into interactive model design.
• Collaborate to tackle challenging technical problems and publish research in top venues.

What we're looking for

A strong background in machine learning. Experience with AutoML, transfer learning, meta-learning, and foundation models is a plus. Experience in building scalable, user-friendly AI systems. A passion for bridging technical innovation with societal impact, with a focus on responsible AI. A collaborative mindset, thriving in interdisciplinary teams with diverse perspectives.

Impact

This role is an opportunity to contribute to a transformative project at the intersection of cutting-edge AI research and societal impact. By enabling people to build safe, interpretable AI models through natural language, your work will empower communities to address complex challenges and unlock new possibilities.

• Self-driven researcher, with a PhD in machine learning research, or a comparable domain.
• Ability to conduct high quality academic research, reflected in demonstrable outputs.
• Excellent programming skills.
• A team player who enjoys coaching PhD students and working in a dynamic, interdisciplinary team.
• A proven ability to manage complex projects to completion on schedule.
• Excellent (written and verbal) proficiency in English, good communication and leadership skills.

A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Per faculty policy, the initial contract is for one year, and will be extended based on job performance.
• Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 10 (min. €4,060 max. €5,331).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs on general skills, didactics and topics related to research and valorization.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• Partially paid parental leave and an allowance for commuting, working from home and internet costs.
• A TU/e Postdoc Association that helps you to build a stronger and broader academic and personal network, and offers tailored support, training and workshops.
• A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.