Ph.D. Student Position in Systems Neuroscience at the University of Erlangen-Nuremberg 2026

The laboratory of Prof. A. Ponomarenko is seeking a doctoral student with a strong interest in the dynamics of neuronal circuits and behavior. A central research topic of our group is neural coding and dynamics underpinning cognitive control of learned and instinctive (innate) behaviors. 

Table of Content

• Summary
• Benefits
• Requirements
• Interview Process
• Application Deadline
• How To Apply

Summary

• Application DeadlineJune 30, 2026
• Study LevelPhD
• SponsorFriedrich-Alexander University of Erlangen-Nuremberg
• City to studyBavaria
• School to studyFriedrich-Alexander University of Erlangen-Nuremberg
• Eligible CountryAll Countries

Benefits

• Regular promotion to the next level and increase in salary pursuant to the collective bargaining agreement for the public service of the German Länder (TV-L) or remuneration pursuant to the Bavarian Public Servants Remuneration Act (BayBesG) plus an additional annual bonus
• 30 days annual leave at five working days per week with additional free days on December 24 and 31
• Flexible working hours and models and the possibility to take time off in lieu
• Occupational pension scheme and asset accumulation savings scheme
• Family-friendly environment with childcare options, also during school holidays
• Working from home generally possible after training
• A wide range of training courses and opportunities for professional development
• Thorough onboarding process with a dedicated team
• Joint team activities
• Subsidized food and drinks in our student restaurants
• Offices within comfortable walking distance of public transport
• Active health management
• IT-supported facility management system

Requirements

• You hold a Master’s (or equivalent) in neuroscience or a related field and are genuinely curious about neuronal dynamics and behavior.
• Prior experience with in vivo techniques, including animal behavior and computational data analysis, is highly beneficial.
• Motivation to acquire computer coding skills is required.
• You bring a constructive, problem-solving mindset to the project, are prepared for sustained and focused work, and value effective communication with your team and supervisor.

Selection Process

1. Apply online

2. Automatic confirmation of receipt sent by e-mail

3. Place of employment views applications

4. Invitation to first interview

5. Optional invitation to second interview in person at FAU

6. Is there a match?

7. Employment documents prepared

8. Consultation with Staff Council

9. Commencement of employment – welcome to FAU

Application Deadline

How To Apply

• Applications are made via the Application Portal.

For more information, kindly visit the FAU webpage.