Process Optimization Researcher

Vor 6 Tagen


Zürich, Zürich, Schweiz Eidgenössische Technische Hochschule Zürich Vollzeit

We are seeking an expert to join our team at ETH Zurich, focusing on AI-driven process optimization for smart manufacturing. Our research group collaborates with inspire AG, Switzerland's leading competence center for product innovation and advanced manufacturing.

Project Overview

Our goal is to develop efficient methods for industrial manufacturing processes, leveraging machine learning and optimization techniques. This involves:

  1. Selecting process parameters through AI-based optimization
  2. Designing cutting-edge machine learning models for process parameter selection
  3. Reducing experimental effort using transfer learning and prior knowledge
  4. Collaborating with leading Swiss industry partners to apply AI to real-world problems
  5. Validating and refining methods using real industrial data
Profile

For this position, we require:

  • A Master's degree in engineering, computer science, or a related field from ETH or a recognized university
  • A strong academic record, meeting ETH Zurich's PhD admission requirements

Additionally, we seek candidates with:

  • Experience in machine learning, optimization, or AI-driven decision-making
  • Preferably knowledge of Bayesian optimization or Gaussian processes
  • Programming skills in Python, MATLAB, or similar languages


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