Turning neuroscience and AI into the next generation of cognitive machines – together. At ZEISS, we focus on user-centric innovation to transform bold ideas into real-world technologies. At the ZEISS Innovation Hub @ KIT, we foster collaboration between researchers, entrepreneurs, and engineers to drive impactful breakthroughs. Our Neurotechnology & Cognitive Robotics team explores the intersection of neuroscience, AI, and robotics to develop intelligent systems inspired by cognitive and neural mechanisms - integrating insights like attention, perception, and decision-making into robotic architectures. We develop technologies that decode, support, and extend human neural function – while leveraging insights from neuroscience to build the next generation of adaptive, intelligent machines. This position is ideal for an exceptional mind who seeks to merge computational neuroscience, cognitive robotics, and AI in real-world, high-impact medical and human-centered applications.

Your Role

• Guide the development of neuro-inspired architectures for adaptive robotic systems

• Design learning-enabled control and perception pipelines for complex environments

• Apply neuroscience to develop intelligent, embodied systems that exhibit robust adaptation.

• Integrate multimodal data, e.g., EEG, MEG, fNIRS, SEEG, and MRI, into cognitive control loops

• Produce noteworthy publications, patents, and demonstrators

• Work together with teams in medical robotics, AI, and neurotechnology

• Mentor students and junior researchers in a collaborative and challenging environment

Your Profile

• PhD in Cognitive Robotics, Computational Neuroscience, AI, or related field

• Strong publication record in peer-reviewed international journals/conferences

• Deep knowledge in at least one of the following: Neuro-inspired AI and learning systems or Cognitive architectures and adaptive robotics or Multimodal signal processing and neurodecoding

• Programming experience in Python and/or C++, ROS Experience with robotic platforms or intelligent systems in real-world contexts

• Ideally: exposure to neurotechnology or neural data (e.g. EEG, MEG, sEEG, fNIRS, MRI)

In addition, you bring

• A self-driven, pragmatic, and solution-oriented mindset

• Solid analytical and organizational competencies

• Commitment to push limits and establish a lasting legacy in neuro-AI and robotics

• Highly effective English communication

• A collaborative spirit and passion for interdisciplinary innovation

We Offer

• A visionary, interdisciplinary team working at the frontier of neuroscience, AI, and robotics

• Ownership of cutting-edge topics in cognitive robotics and neuro-AI

• A translational environment to turn ideas into impactful applications for healthcare and surgery

• Direct collaboration with experts in neurotechnology, brain-computer interfaces, and AI

• A fast-moving innovation hub with academic rigor and industrial relevance

• Support for publications, patents, and prototypes in an agile, collaborative culture

We look forward to receiving your application, including references and a list of publications, if applicable.

Your ZEISS Recruiting Team: