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PhD Position in Stochastic Modelling and Reliability Assessment

2 maanden geleden


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

The Eindhoven University of Technology is seeking a highly motivated PhD candidate to join our research team in the field of stochastic modelling and reliability assessment. The project focuses on developing advanced models and algorithms for grid-edge optimal solutions, AI-driven state estimation, and stochastic modelling and reliability assessment. The successful candidate will work on a microscopic bottom-up approach to develop a thorough understanding of how various components affect overall network reliability.

Key Responsibilities
  • Develop multivariate uncertainty models describing random user behavior
  • Develop physical models of distribution grids, including tractable linearized distflow models and less tractable but more realistic models
  • Integrate component degradation models along with the grid models
  • Develop stochastic models considering the uncertainties in load and weather forecasting
  • Integrate and validate solutions in the virtual grid environment
Requirements
  • MSc degree in Computer Science, Data Science, or related fields
  • Strong background in deep learning, distributed ML, and AI model optimization
  • Good scientific programming skills and experience in languages such as Python, C++, Julia, etc.
  • Enthusiasm in open-source and motivated to learn basic skills of scientific software engineering
  • Strong analytical, implementation, and experimentation skills
  • Ability to work in an interdisciplinary team and be a team player
  • Motivated to develop your teaching skills and coach MSc and BSc students
  • Fluent in spoken and written English (C1 level)
Conditions of Employment
  • 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 (min. €2,872 max. €3,670)
  • 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
  • Excellent technical infrastructure, on-campus children's day care and sports facilities
  • Allowance for commuting, working from home and internet costs
  • Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates