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Forschungszentrum Jülich

PhD Position in Multi-Scale Modeling of Synaptic Resilience and Reliability Forschungszentrum Jülich in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Dec 31, 2026

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Country

Germany

University

Forschungszentrum Jülich

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Keywords

Computer Science
Machine Learning
Mathematics
Mathematical Modeling
Python Programming
Neuropsychology
Multiscale Modeling
Gpu Computing
Physics

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About this position

This PhD position at Forschungszentrum Jülich offers an exciting opportunity to investigate healthy brain function through the lens of synaptic dynamics. The project centers on building a multi-scale model that links molecular renewal processes to the functional properties of synapses, aiming to elucidate the relationship between synaptic resilience and the reliability of synaptic responses. The research will span spatial scales from the molecular to the network level and temporal scales from seconds to hours and beyond.

The successful candidate will engage in mathematical modeling and numerical simulation, complemented by the analysis of experimental datasets for model validation. The work is situated at the interface between neuroscience and digital technologies, leveraging world-class scientific and technical infrastructure. The position is embedded in a highly motivated, international, and interdisciplinary team, with continuous expert guidance from academic supervisors and opportunities for networking through participation in conferences and project meetings.

Applicants should possess a Master's degree in physics, mathematics, computer science, computational neuroscience, or a related field. Essential qualifications include solid knowledge in mathematics (linear algebra, differential equations, integral calculus, probability theory, numerics) and proficiency in Python programming. Additional expertise in C++, GPU programming, parallel programming, or high-performance computing is highly valued. Experience with modeling, analysis of complex dynamical systems, simulation, machine learning methods, and software development is beneficial. Candidates must demonstrate good organizational skills, the ability to work independently and collaboratively, and effective communication skills. Working proficiency in English is required (TOEFL or equivalent or exemption), and knowledge of German is beneficial.

The position is limited to three years and offers fair remuneration according to pay group 13 (65%) of the TVöD-Bund, with a special payment ('Christmas bonus') amounting to 60% of one month's salary. Additional benefits include 30 days of vacation, professional development and training opportunities, and support for international employees. The research campus provides an ideal environment for collegial exchange and sporting activities, with a cafeteria offering a relaxing lunch break with a lake view.

Forschungszentrum Jülich values diversity and inclusion, welcoming applications from individuals of all backgrounds. The institution provides further information on equal opportunities and the targeted promotion of women through dedicated links. For more details on the doctoral candidate program (JuDocS), collective agreement, and benefits, refer to the provided resources.

Applications should be submitted online via the official portal. Prepare your CV, cover letter, and supporting documents, ensuring you meet the eligibility requirements. Submit your application before the deadline of December 31, 2026. For further information, visit the provided links.

Funding details

Available

What's required

Applicants must hold a Master's degree in physics, mathematics, computer science, computational neuroscience, or a related field. Solid knowledge in mathematics (linear algebra, differential equations, integral calculus, probability theory, numerics) and proficiency in Python programming are required. Additional expertise in C++, GPU programming, parallel programming, or high-performance computing is highly valued. Keen interest in neuroscience is essential. Experience with modeling, analysis of complex dynamical systems, simulation, machine learning methods, and software development are beneficial. Good organizational skills, ability to work independently and collaboratively, and effective communication skills are expected. Working proficiency in English is required (TOEFL or equivalent or exemption); knowledge of German is beneficial.

How to apply

Apply online via the official application portal. Prepare your CV, cover letter, and supporting documents. Ensure you meet the eligibility requirements and submit your application before the deadline. For further information, visit the provided links.

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