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PhD Researcher in Generative AI

2 maanden geleden


Eindhoven, Noord-Brabant, Nederland Eindhoven University of Technology Voltijd
Job Description

This is a 4-year paid PhD position in the Data and AI cluster at the Eindhoven University of Technology (TU/e) and ASML. The position involves research in Generative AI, Knowledge Graphs, and Machine Learning.

Research Focus

The PhD researcher will work on developing a framework that assists engineers in their diagnostics work, shortening the downtime of a system. The framework must be conversational, trustworthy, and able to provide answers based on facts without hallucinating.

Key Responsibilities
  • Develop a framework that integrates Knowledge Graphs and Large Language Models for diagnostics.
  • Conduct research in Generative AI, Knowledge Graphs, and Machine Learning.
  • Collaborate with the Diagnostics & Data Science Group in ASML Research.
  • Participate in cutting-edge research, publish papers in top conferences and journals, and contribute to open-source tools.
Requirements
  • BSc and MSc degree in Computer Science, Mathematics, or a closely related field.
  • Good statistical background and knowledge of probability theory, good understanding of Machine Learning and Deep Learning.
  • Programming in Python and PyTorch/Jax.
  • Fluent in spoken and written English.
  • Ability to read scientific papers.
  • Ability to work in an interdisciplinary team and interested in collaborating with the industrial partner (ASML).
Conditions of Employment

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:

  • Full-time employment for four years, with an intermediate evaluation (go/no-go) after nine months.
  • Salary and benefits in accordance with the Collective Labour Agreement for Dutch Universities, scale P.
  • A year-end bonus of 8.3% and annual vacation pay of 8%.
  • High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher.
  • An excellent technical infrastructure, on-campus children's day care and sports facilities.
  • An allowance for commuting, working from home and internet costs.