Ph.D. Student Position in Systems Neuroscience

• 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

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. Using in vivo electrophysiology, opto-, chemogenetics, and machine learning

approaches we have previously shown that network oscillations organize neuronal signaling

from the hippocampus, prefrontal cortex, and the lateral septum to and within the

hypothalamus, and crucially contribute to the regulation of locomotion (Bender et al., 2015),

food seeking (Carus-Cadavieco et al., 2017) and intake (Altafi et al., 2024), and behavioral

transitions (Chen et al., 2024).

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.