PhD Position Foundation AI Models (Power Systems)
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Описание вакансии
TL;DR
PhD Position Foundation AI Models (Power Systems): Conducting fundamental research on foundation AI models for decision-making in distribution systems with an accent on incorporating power systems physics and topology invariance. Focus on developing mathematically rigorous methods with near-term application potential in intelligent electrical power grids.
Location: Must be based in or relocate to Delft, Netherlands
Salary: €3,059–€3,881 gross per month
Company
is a leading technical university dedicated to pioneering research and education in engineering, energy, and AI to solve global societal challenges.
What you will do
- Develop foundation AI models tailored for power systems decision-making.
- Incorporate power systems physics into AI model architectures.
- Create topology-invariant architectures for distribution systems.
- Collaborate with industrial partners and academic researchers.
- Assist in teaching activities, including student supervision and labs.
- Publish research findings and contribute to open science initiatives.
Requirements
- MSc degree in a highly technical discipline (computer science, electrical engineering, etc.).
- Basic knowledge of power systems and machine learning/AI.
- English proficiency: C1 level (equivalent to TOEFL 100 or IELTS 7.0 per sub-skill).
- Strong analytical skills and a solid foundation in machine learning or operational research.
- Independent, self-motivated, and eager to perform research.
- Must be able to work onsite in Delft, Netherlands.
Nice to have
- Experience with optimization methods and scheduling problems.
- Proficiency with optimization packages such as Pyomo.
- Experience with Python, command-line tools, and version control.
Culture & Benefits
- Four-year doctoral appointment with a supportive research environment.
- Comprehensive benefits including 8% holiday allowance and 8.3% end-of-year bonus.
- Access to the Doctoral Education Programme for skill development.
- Support for international employees, including relocation assistance and a dual career programme.
- Flexible work schedules and discounts on health insurance.
Hiring process
- Application review based on CV, motivation letter, and grade list.
- Risk assessment regarding knowledge security conducted at the final stage.
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