We are looking for creative, enthusiastic, and motivated researchers to join our team. The position requires a strong interest in analytical approaches, modeling or analysis of neural systems. The topic itself is open, enabling the candidate to shape the research question according to their interest in the context of our work. Our approaches include both, detailed study of the mechanisms of learning, as well as abstract derivation of principles. For the PhD position, you should hold a Master’s in quantitative sciences, e.g., physics, neuroscience, data science, mathematics, machine learning, or related fields. A background in computational neuroscience, system's theory, control theory, or Bayesian inference is a plus, but not required. While the team is mainly rooted in physics, we also look with interest at applications of candidates with other backgrounds. The language for our communications is English; thus, fluency in both written and spoken English is required. German language skills are not necessary; for those interested, language courses are offered. For us, the central input from our members are their creativity and enthusiasm, and the interest to deeply tackle their research question embedded in our interdisciplinary team.