The Peter Grünberg Institute, Forschungszentrum Jülich (Aachen, Germany), is inviting applications for a fully funded PhD position under the Marie Skłodowska-Curie Actions (MSCA) Doctoral Network “ELEVATE.” The research focuses on synaptic plasticity rules in few-shot event-based reinforcement learning, combining neuromorphic computing, reinforcement learning, and machine learning algorithms. The position offers competitive salary, full benefits, international internships, and 30 days of annual leave.
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Program Details
- Position: PhD Researcher
- Duration: 3 years
- Location: Peter Grünberg Institute, Forschungszentrum Jülich, Aachen, Germany
- Salary: 75% of pay group 13 (TVöD-Bund) + 60% of monthly salary as a special payment (‘Christmas bonus’)
- Annual Leave: 30 days
- Start Date: Flexible (upon selection)
- Deadline: September 19, 2025
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Eligibility Criteria
- Master’s degree in Physics, Electrical/Electronic Engineering, Computer Science, Mathematics, or related fields
- Strong coding skills in neural networks & ML frameworks (e.g., PyTorch, Jax)
- Creative and analytical thinking skills
- Knowledge of integrated circuit design or digital neuromorphic hardware (a plus)
- Proficiency in English (spoken & written); German not required
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Research Focus & Responsibilities
This PhD project aims to develop event-driven reinforcement learning algorithms that improve data efficiency using meta-learning.
Key Responsibilities
- Develop algorithms for event-driven reinforcement learning with a focus on energy efficiency
- Collaborate on hardware implementations within spiking neural networks
- Publish findings in international journals and conferences
- Participate in internships at TU Delft and Mercedes-Benz
- Supervise undergraduate and master’s students in related projects
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Funding & Benefits
- Competitive salary (MSCA standard + allowances)
- 30 days of paid annual leave
- International research exposure and collaborations
- Internships at TU Delft and Mercedes-Benz
- Professional development through the MSCA network
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How to Apply for Fully Funded PhD Position in Reinforcement Learning at Peter Grünberg Institute
Applications must be submitted via the official online platform (email applications are not accepted).
Deadline: September 19, 2025